Gerrit Schmid, Daniel Alexander Braun: Human intergroup coordination in a hierarchical multi-agent sensorimotor task arises from concurrent co-optimization. Scientific Reports. Nature Publishing Group UK (May. 2025)

Tobias B. Ricken, Sascha Gruss, Steffen Walter, Friedhelm Schwenker: Pseudo-labeling based adaptations of pain domain classifiers. Frontiers in Pain Research. Frontiers Media SA (May. 2025)

Heiko Neumann: Buchrezension zu: Natürliche und künstliche Intelligenz. BIOspektrum. Springer Berlin Heidelberg (Apr. 2025)

Avigyan Roy, Priyam Saha, Nandita Gautam, Friedhelm Schwenker, Ram Sarkar: Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images. Scientific Reports. Nature Publishing Group UK (Mar. 2025)

Heinke Hihn: Adaptive learning models for information-efficient lifelong machine learning. Universität Ulm (Feb. 2025)

Surya Majumder, Aishik Paul, Friedhelm Schwenker, Ram Sarkar: SAWL-Net: A Statistical Attentions and Wavelet aided Lightweight Network for Classification of Cancers in Histopathological Images. IEEE Transactions on Artificial Intelligence. IEEE Computer Society (Feb. 2025)

Nikolai AK Steur, Friedhelm Schwenker: A Step Towards Neuroplasticity: Capsule Networks with Self-Building Skip Connections. AI. MDPI (2024)

Amartya Ray, Sujan Sarkar, Friedhelm Schwenker, Ram Sarkar: Decoding skin cancer classification: perspectives, insights, and advances through researchers’ lens. Nature Publishing Group UK (2024)

Gerrit Schmid, Sebastian Gottwald, Daniel Alexander Braun: Bounded Rational Decision Networks with Belief Propagation. Neural Computation. MIT Press (Nov. 2024)

Fitsum Mesfin Dejene, Taye Girma Debelee, Friedhelm Schwenker, Yehualashet Megersa Ayano, Degaga Wolde Feyisa: Diabetic Retinopathy Screening Using Machine Learning: A Systematic Review. (Nov. 2024)

Alexander Kleinjohann, David Berling, Alessandra Stella, Günther Palm, Tom Tetzlaff, Sonja Gruen: Anatomical network model with embedded synfire chains is consistent with cortical spatio-temporal spike patterns. JOURNAL OF COMPUTATIONAL NEUROSCIENCE. SPRINGER (Nov. 2024)

Sebastian Gottwald, Daniel Alexander Braun: On the Structure of Information. arXiv preprint arXiv:2409.20331. (Oct. 2024)

Akash Halder, Sugata Laha, Saptarshi Bandyopadhyay, Friedhelm Schwenker, Ram Sarkar: A Metaheuristic Optimization Based Deep Feature Selection for Oral Cancer Classification. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer International Publishing (Oct. 2024)

Christopher Bonenberger, Markus Schneider, Wolfgang Ertel, Friedhelm Schwenker: A Note on Linear Time Series Prediction. German Conference on Artificial Intelligence (Künstliche Intelligenz). Springer International Publishing (Sep. 2024)

Pedro Hack, Daniel Alexander Braun, Sebastian Gottwald: Majorization requires infinitely many second laws. Proceedings of the Royal Society A. The Royal Society (Sep. 2024)

Raghu Mysore Shantharam, Friedhelm Schwenker: ML-based Pain Recognition Model Using Mixup Data Augmentation. Preprints (Sep. 2024)

Yehualashet Megersa Ayano, Friedhelm Schwenker, Bisrat Derebssa Dufera, Taye Girma Debelee, Yitagesu Getachew Ejegu: Interpretable Hybrid Multichannel Deep Learning Model for Heart Disease Classification Using 12-leads ECG Signal. IEEE Access. IEEE (Aug. 2024)

David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann: Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images. arXiv preprint arXiv:2406.12441. (Jul. 2024)

Sonja Schach: Quantitative analyses of information-processing resources and limitations in human motor planning. Universität Ulm (Jul. 2024)

Nikola Finze, Deinera Jechle, Stefan Faußer, Heiko Gewald: How are We Doing Today? Using Natural Speech Analysis to Assess Older Adults’ Subjective Well-Being. Business & Information Systems Engineering. Springer Fachmedien Wiesbaden (Jul. 2024)

Worku Gachena Negera, Friedhelm Schwenker, Degaga Wolde Feyisa, Taye Girma Debelee, Henock Mulugeta Melaku: Hierarchical Classification of Botnet Using Lightweight CNN. Applied Sciences. MDPI (Jun. 2024)

Raffaela Groner, Peter Bellmann, Stefan Höppner, Patrick Thiam, Friedhelm Schwenker, Hans Kestler, Matthias Tichy: Enhanced performance prediction of ATL model transformations. Performance Evaluation. North-Holland (Jun. 2024)

Fabian Wurzberger, Friedhelm Schwenker: Learning in Deep Radial Basis Function Networks. Entropy. MDPI (May. 2024)

Heinke Hihn, Daniel Alexander Braun: Online continual learning through unsupervised mutual information maximization. Neurocomputing. Elsevier (May. 2024)

Sabine Wieluch, Friedhelm Schwenker: PatternPortrait: Draw Me Like One of Your Scribbles. International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar). Springer International Publishing (Apr. 2024)

Christian Jarvers, Heiko Neumann: Teaching deep networks to see shape: Lessons from a simplified visual world. bioRxiv. Cold Spring Harbor Laboratory (Apr. 2024)

Patrick Thiam, Christopher Kloth, Daniel Blaich, Andreas Liebold, Meinrad Beer, Hans Kestler: Segmentation-based cardiomegaly detection based on semi-supervised estimation of cardiothoracic ratio. Scientific Reports. Nature Publishing Group UK (Apr. 2024)

Fabian Wurzberger, Friedhelm Schwenker: Deep Radial Basis Function Networks. Preprints (Mar. 2024)

M. Lautaro Hickmann, David Quero, Friedhelm Schwenker, Hans-Martin Rieser: Hybrid quantum tensor networks for aeroelastic applications. (Jan. 2024)

Taye Girma Debelee, Achim Ibenthal, Friedhelm Schwenker, Yehualashet Megersa Ayano: Pan-African Conference on Artificial Intelligence: Second Conference, PanAfriCon AI 2023, Addis Ababa, Ethiopia, October 5–6, 2023, Revised Selected Papers, Part I. Springer Nature (Jan. 2024)

Xiao Hu, Basavaraj Hampiholi, Heiko Neumann, Jochen Lang: Temporal context enhanced referring video object segmentation. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. (Jan. 2024)

Heiko Karus, Friedhelm Schwenker, Michael Munz, Michael Teutsch: Towards Explainable Visual Vessel Recognition Using Fine-Grained Classification and Image Retrieval. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. (Jan. 2024)

Pedro Hack, Daniel Alexander Braun, Sebastian Gottwald: Countability constraints in order-theoretic approaches to computability. Mathematical Structures in Computer Science. Cambridge University Press (Jan. 2024)

Daniel Schmid, Heiko Neumann: Thalamo-Cortical Interaction for Incremental Binding in Mental Contour-Tracing. bioRxiv. Cold Spring Harbor Laboratory (2023)

Madhurima Vangeepuram, Stefan Faußer, Hans Ehm, Marco Ratusny, Stefan Heilmayer, Tobias Leander Welling: Assessing Delivery Commitments in Supply Chains: A Matrix-Based Framework. 2023 Winter Simulation Conference (WSC). IEEE (2023)

Michael Winter, Cynthia Bredemeyer, Manfred Reichert, Heiko Neumann, Rüdiger Pryss: A Comparative Cross-Sectional Study on Process Model Comprehension driven by Eye Tracking and Electrodermal Activity. (2023)

Peter Bellmann: Automated Pain Intenstiy Recognition: A Combination of Ordinal and Highly Complex Class Structures. (2023)

Payel Pramanik, Rishav Pramanik, Friedhelm Schwenker, Ram Sarkar: DBU-Net: Dual branch U-Net for tumor segmentation in breast ultrasound images. PLOS ONE. Public Library of Science (Dec. 2023)

Nikolai AK Steur, Friedhelm Schwenker: Class-Variational Learning With Capsule Networks for Deep Entity-Subspace Clustering. IEEE Access. IEEE (Nov. 2023)

Md Haider Zama, Friedhelm Schwenker: ECG Synthesis via Diffusion-Based State Space Augmented Transformer. Sensors. MDPI (Nov. 2023)

Tobias B. Ricken, Peter Bellmann, Sascha Gruss, Hans Kestler, Steffen Walter, Friedhelm Schwenker: Pain Recognition Differences between Female and Male Subjects: An Analysis based on the Physiological Signals of the X-ITE Pain Database. International Cconference on Multimodal Interaction. (Nov. 2023)

Khaled Eissa, Friedhelm Schwenker: Fake vs. Real Face Discrimination Using Convolutional Neural Networks. Pan African Conference on Artificial Intelligence. Springer International Publishing (Nov. 2023)

Ahmed Abdalaziz, Friedhelm Schwenker: Generating Synthetic Brain Tumor Data Using StyleGAN3 for Lower Class Enhancement. Pan African Conference on Artificial Intelligence. Springer International Publishing (Nov. 2023)

Christopher Bonenberger, Markus Schneider, Friedhelm Schwenker, Wolfgang Ertel: A Novel Approach To Spectral Estimation And Moving Average Model Parameter Estimation. IEEE Signal Processing Letters. IEEE (Oct. 2023)

Sonja Schach, Daniel Alexander Braun, Axel Lindner: Cross-hemispheric recruitment during action planning with increasing task demand. Scientific Reports. Nature Publishing Group UK (Oct. 2023)

Sonja Schach: Dataset: Cross-hemispheric recruitment during action planning with increasing task demand. Universität Ulm (Oct. 2023)

Frank Fundel, Daniel Alexander Braun, Sebastian Gottwald: Automatic bat call classification using transformer networks. Ecological Informatics. Elsevier (Oct. 2023)

A. Kestler, J. Schwab, S. Werle, Patrick Thiam, R. Hühne, N. Jahn, R. Schuler, Hans Kestler, T. Seufferlein: NEMO–Eine App für das Nebenwirkungs-Management in der gastrointestinalen Onkologie (NEMO). Zeitschrift für Gastroenterologie. Georg Thieme Verlag (Sep. 2023)

Daniel Schmid, Daniel Alexander Braun, Heiko Neumann: A thalamo-cortical blackboard model for coordinating visual mental routines. Journal of Vision. The Association for Research in Vision and Ophthalmology (Sep. 2023)

Umar Masud, Friedhelm Schwenker: Compressed Image Super-Resolution Using Pre-trained Model Assistance Check for updates. Proceedings of International Conference on Frontiers in Computing and Systems: COMSYS 2022. Springer Nature (Aug. 2023)

Degaga Wolde Feyisa, Yehualashet Megersa Ayano, Taye Girma Debelee, Friedhelm Schwenker: Weak Localization of Radiographic Manifestations in Pulmonary Tuberculosis from Chest X-ray: A Systematic Review. MDPI (Aug. 2023)

Ahmed Eid, Friedhelm Schwenker: Visual Static Hand Gesture Recognition Using Convolutional Neural Network. Algorithms. MDPI (Aug. 2023)

Lukas Fülle, Jakob Karalus, Friedhelm Schwenker: Evolutionary Preference-Based Reinforcement Learning for Partially Observable Environments. Sixteenth European Workshop on Reinforcement Learning. (Aug. 2023)

Annika MTU Kestler, Nensi Ikonomi, Silke D. Werle, Julian D. Schwab, Friedhelm Schwenker, Hans Kestler: Sparse rule generating fold-change classification for molecular high-throughput profiles. CLADAG2023. (Jul. 2023)

Daniel Schmid, Christian Jarvers, Heiko Neumann: Canonical circuit computations for computer vision. Biological Cybernetics. Springer Berlin Heidelberg (Jul. 2023)

Ahmed Eid, Friedhelm Schwenker: Visual Static Hand Gesture Recognition Using CNN. Preprints (Jul. 2023)

Taye Girma Debelee, Achim Ibenthal, Friedhelm Schwenker: Pan-African Conference on Artificial Intelligence: First Conference, PanAfriCon AI 2022, Addis Ababa, Ethiopia, October 4–5, 2022, Revised Selected Papers. Springer Nature (Jun. 2023)

Marwan Farag¹, Friedhelm Schwenker: Check for updates. Pan-African Conference on Artificial Intelligence: First Conference, PanAfriCon AI 2022, Addis Ababa, Ethiopia, October 4–5, 2022, Revised Selected Papers. Springer Nature (Jun. 2023)

Christian Jarvers, Heiko Neumann: Shape-selective processing in deep networks: integrating the evidence on perceptual integration. Frontiers in Computer Science. Frontiers (Jun. 2023)

Daniel Schmid, Timo Oess, Heiko Neumann: Listen to the Brain–Auditory Sound Source Localization in Neuromorphic Computing Architectures. Sensors. MDPI (Jun. 2023)

Pedro Hack, Daniel Alexander Braun, Sebastian Gottwald: The classification of preordered spaces in terms of monotones: complexity and optimization. Theory and Decision. Springer US (Jun. 2023)

Daniel Schmid, Daniel Alexander Braun, Heiko Neumann: A Dynamical Model of Binding in Visual Cortex During Incremental Grouping and Search. MODVIS Workshop 2023: Computational and Mathematical Models in Vision. (Jun. 2023)

Raffaela Groner, Peter Bellmann, Stefan Höppner, Patrick Thiam, Friedhelm Schwenker, Matthias Tichy: Predicting the Performance of ATL Model Transformations. Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering. (May. 2023)

Michael Winter, Heiko Neumann, Ruediger Pryss, Thomas Probst, Manfred Reichert: Defining gaze patterns for process model literacy-Exploring visual routines in process models with diverse mappings (vol 213, 119217, 2023). EXPERT SYSTEMS WITH APPLICATIONS. PERGAMON-ELSEVIER SCIENCE LTD (May. 2023)

Michael Winter, Heiko Neumann, Rüdiger Pryss, Thomas Probst, Manfred Reichert: Corrigendum to “Defining gaze patterns for process model literacy–Exploring visual routines in process models with diverse mappings”[Expert Syst. Appl. 213 (2023) 119217]. (May. 2023)

Worku Gachena Negera, Friedhelm Schwenker, Taye Girma Debelee, Henock Mulugeta Melaku, Degaga Wolde Feyisa: Lightweight Model for Botnet Attack Detection in Software Defined Network-Orchestrated IoT. Applied Sciences. MDPI (May. 2023)

Basavaraj Hampiholi, Christian Jarvers, Wolfgang Mader, Heiko Neumann: Convolutional Transformer Fusion Blocks for Multi-Modal Gesture Recognition. IEEE Access. IEEE (Apr. 2023)

Tobias Benjamin Ricken, Peter Bellmann, Steffen Walter, Friedhelm Schwenker: Pain Detection in Biophysiological Signals: Knowledge Transfer from Short-Term to Long-Term Stimuli Based on Distance-Specific Segment Selection. Computers. MDPI (Apr. 2023)

Christian Graf, David B. Adrian, Joshua Weil, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Heiko Neumann, Andras Gabor Kupcsik: Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks. Conference on Robot Learning. PMLR (Apr. 2023)

Michael Winter, Heiko Neumann, Rüdiger Pryss, Thomas Probst, Manfred Reichert: Defining gaze patterns for process model literacy–Exploring visual routines in process models with diverse mappings. Expert Systems with Applications. Pergamon (Apr. 2023)

Patrick Thiam, Ludwig Lausser, Christopher Kloth, Daniel Blaich, Andreas Liebold, Meinrad Beer, Hans Kestler: Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images. Frontiers in Artificial Intelligence. Frontiers (Mar. 2023)

Heinke Hihn, Daniel Alexander Braun: Hierarchically structured task-agnostic continual learning. Machine Learning. Springer US (Mar. 2023)

Pedro Hack, Cecilia Lindig-León, Sebastian Gottwald, Daniel Alexander Braun: Thermodynamic fluctuation theorems govern human sensorimotor learning. Scientific Reports. Nature Publishing Group UK (Feb. 2023)

Günther Palm: Novelty, information and surprise. Springer Nature (Feb. 2023)

Taye Girma Debelee, Achim Ibenthal, Friedhelm Schwenker, Yehualashet Megersa Ayano: Pan-African Conference on Artificial Intelligence. Springer Nature (Jan. 2023)

Manuel Lautaro Hickmann, Arne Peter Raulf, Frank Köster, Friedhelm Schwenker, Hans-Martin Rieser: Potential analysis of a Quantum RL controller in the context of autonomous driving. 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2023. Ciaco-i6doc. com (Jan. 2023)

Raffaela Groner, Peter Bellmann, Stefan Höppner, Patrick Thiam, Friedhelm Schwenker, Matthias Tichy: Data set for predicting the performance of ATL model transformations. (Jan. 2023)

Hans Kestler, Patrick Thiam, Silke Werle, Franz Jobst, Hannah Spohn: CORD_MI-Konsortien übergreifender Use Case Collaboration on Rare Diseases-Teilprojekt Universität Ulm: Arbeitspapier zu Verlaufsprädiktion unter Verwendung von …. Universität Ulm-Medizinische Fakultät-Institut für Medizinische Systembiologie (Jan. 2023)

Fabian Erlenbusch, Constanze Merkt, Bernardo de Oliveira, Alexander Gatter, Friedhelm Schwenker, Ulrich Klauck, Michael Teutsch: Thermal infrared single image dehazing and blind image quality assessment. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. (Jan. 2023)

Yehualashet Megersa Ayano, Friedhelm Schwenker, Bisrat Derebssa Dufera, Taye Girma Debelee: Interpretable machine learning techniques in ECG-based heart disease classification: a systematic review. MDPI (2022)

Umar Masud, Friedhelm Schwenker: Compressed Image Super-Resolution Using Pre-trained Model Assistance. International Conference on Frontiers in Computing and Systems. Springer, Singapore (2022)

Worku Gachena Negera, Friedhelm Schwenker, Taye Girma Debelee, Henock Mulugeta Melaku, Yehualashet Megeresa Ayano: Review of botnet attack detection in SDN-enabled IoT Using machine learning. MDPI (2022)

Daniel Schmid, Heiko Neumann: Talk session 6. Perceptual Organisation Mental Contour Tracing in a Neurodynamical Thalamo-Cortical Model of Attentional Binding. PERCEPTION. SAGE PUBLICATIONS LTD (2022)

Pedro Hack, Sebastian Gottwald, Daniel Alexander Braun: Jarzyski’s Equality and Crooks’ Fluctuation Theorem for General Markov Chains with Application to Decision-Making Systems. Entropy. Multidisciplinary Digital Publishing Institute (2022)

Pedro Hack, Sebastian Gottwald, Daniel Alexander Braun: Jarzyski’s Equality and Crooks’ Fluctuation Theorem for General Markov Chains with Application to Decision-Making Systems. Entropy. MDPI (Dec. 2022)

Subhrajit Dey, Rajdeep Bhattacharya, Samir Malakar, Friedhelm Schwenker, Ram Sarkar: CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays. Expert Systems with Applications. Pergamon (Dec. 2022)

Ad Aertsen, Sonja Grün, Pedro E. Maldonado, Günther Palm: Introducing Computation to Neuroscience: Selected Papers of George Gerstein. Springer Nature (Dec. 2022)

Pedro Hack, Daniel Alexander Braun, Sebastian Gottwald: Representing preorders with injective monotones. Theory and Decision. Springer US (Dec. 2022)

Christopher MA Bonenberger, Friedhelm Schwenker, Wolfgang Ertel, Markus Schneider: Cyclic Nonlinear Correlation Analysis for Time Series. IEEE Access. IEEE (Nov. 2022)

Sonja Schach, Axel Lindner, Daniel Alexander Braun: Bounded rational decision-making models suggest capacity-limited concurrent motor planning in human posterior parietal and frontal cortex. PLOS Computational Biology. Public Library of Science (Nov. 2022)

Shehabeldin Solyman, Friedhelm Schwenker: Lung Tumor Detection and Recognition Using Deep Convolutional Neural Networks. Pan African Conference on Artificial Intelligence. Springer International Publishing (Nov. 2022)

Marwan Farag, Friedhelm Schwenker: Using Generative Adversarial Networks for Single Image Super-Resolution. Pan African Conference on Artificial Intelligence. Springer International Publishing (Nov. 2022)

Cecilia Lindig-León, Nehchal Kaur, Daniel Alexander Braun: From Bayes-optimal to heuristic decision-making in a two-alternative forced choice task with an information-theoretic bounded rationality model. Frontiers in Neuroscience. Frontiers (Oct. 2022)

Sonja Schach: Dataset: Bounded rational decision-making models suggest capacity-limited concurrent motor planning in human posterior parietal and frontal cortex. Universität Ulm (Oct. 2022)

Peter Bellmann, Patrick Thiam, Hans Kestler, Friedhelm Schwenker: Machine learning-based pain intensity estimation: Where pattern recognition meets chaos theory—an example based on the biovid heat pain database. IEEE Access. IEEE (Oct. 2022)

Christopher Bonenberger, Wolfgang Ertel, Markus Schneider, Friedhelm Schwenker: Structured Nonlinear Discriminant Analysis. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer International Publishing (Oct. 2022)

Jens Gebele, Philipp Brune, Stefan Faußer: Face Value: On the Impact of Annotation (In-) Consistencies and Label Ambiguity in Facial Data on Emotion Recognition. 2022 26th International Conference on Pattern Recognition (ICPR). IEEE (Sep. 2022)

Patrick Thiam, Hans Kestler, Friedhelm Schwenker: Deep Learning Architectures for Pain Recognition Based on Physiological Signals. International Conference on Pattern Recognition. Springer International Publishing (Sep. 2022)

Tobias B. Ricken, Peter Bellmann, Steffen Walter, Friedhelm Schwenker: Pain Detection in Biophysiological Signals: Transfer Learning from Short-Term to Long-Term Stimuli Based on Signal Segmentation. International Conference on Pattern Recognition. Springer International Publishing (Sep. 2022)

Mehmet Erdal, Friedhelm Schwenker: Learnability of the Boolean Innerproduct in Deep Neural Networks. Entropy. MDPI (Sep. 2022)

Günther Palm: On Guessing and Coding. Novelty, Information and Surprise. Springer, Berlin, Heidelberg (Sep. 2022)

Günther Palm: Surprise from Repetitions and Combination of Surprises. Novelty, Information and Surprise. Springer, Berlin, Heidelberg (Sep. 2022)

Günther Palm: How to Transmit Information Reliably with Unreliable Elements (Shannon’s Theorem). Novelty, Information and Surprise. Springer, Berlin, Heidelberg (Sep. 2022)

Günther Palm: Information, Novelty, and Surprise in Brain Theory. Novelty, Information and Surprise. Springer, Berlin, Heidelberg (Sep. 2022)

Felix Ott, Nisha Lakshmana Raichur, David Rügamer, Tobias Feigl, Heiko Neumann, Bernd Bischl, Christopher Mutschler: Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression. arXiv preprint arXiv:2208.00919. (Sep. 2022)

Daniel Schmid, Heiko Neumann: Task-Dependent Incremental Binding Explained by Cortico-Thalamo-Cortical Interactions – A Neuro-Dynamical Model of Mental Contour Tracing. 2022 Conference on Cognitive Computational Neuroscience (CCN). (Sep. 2022)

Günther Palm: The Development of Brain Theory. Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence. Springer International Publishing (Aug. 2022)

Günther Palm: Do We Need Cognitive Neuroscience?. Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence. Springer International Publishing (Aug. 2022)

Günther Palm: The Organization and Improvement of Behavior. Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence. Springer International Publishing (Aug. 2022)

Günther Palm: New Results from Brain Research and Neuroscience. Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence. Springer International Publishing (Aug. 2022)

Günther Palm: Can We Accept a Mechanistic Description of Our Cognitive Mental Processes?. Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence. Springer International Publishing (Aug. 2022)

Günther Palm: The Brain Is an Organ for Information Processing. Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence. Springer International Publishing (Aug. 2022)

Günther Palm: A Model of Language Understanding by Interacting Cortical Areas. Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence. Springer International Publishing (Aug. 2022)

Günther Palm: A Neuronal Realization of the Survival Algorithm. Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence. Springer International Publishing (Aug. 2022)

Günther Palm: Developments in Computer Science and Technical Applications. Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence. Springer International Publishing (Aug. 2022)

Günther Palm: Cognitive Mental Processes Realized by Cell Assemblies in the Cortex. Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence. Springer International Publishing (Aug. 2022)

Günther Palm: On the Structure and Function of Cortical Areas. Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence. Springer International Publishing (Aug. 2022)

Günther Palm: Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence. Springer Nature (Aug. 2022)

Christopher Bonenberger, Wolfgang Ertel, Friedhelm Schwenker, Markus Schneider: Singular spectrum analysis and circulant maximum variance frames. Advances in Data Science and Adaptive Analysis. World Scientific Publishing Company (Aug. 2022)

Pedro Hack, Daniel Alexander Braun, Sebastian Gottwald: On the relation of order theory and computation in terms of denumerability. arXiv preprint arXiv:2206.14484. (Jul. 2022)

Pedro Hack, Daniel Alexander Braun, Sebastian Gottwald: Computation as uncertainty reduction: a simplified order-theoretic framework. arXiv preprint arXiv:2206.13885. (Jul. 2022)

Peter Bellmann, Viktor Kessler, André Brechmann, Friedhelm Schwenker: Dynamic Time Warping-Based Detection of Multi-clicks in Button Press Dynamics Data. Proceedings of International Conference on Frontiers in Computing and Systems: COMSYS 2021. Springer, Singapore (Jul. 2022)

Peter Bellmann, Viktor Kessler, André Brechmann, Friedhelm Schwenker: Button Press Dynamics: Beyond Binary Information in Button Press Decisions. Proceedings of International Conference on Frontiers in Computing and Systems: COMSYS 2021. Springer, Singapore (Jul. 2022)

David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann: Efficient and robust training of dense object nets for multi-object robot manipulation. 2022 International Conference on Robotics and Automation (ICRA). IEEE (Jun. 2022)

Heiko Neumann, A. Yazdanbakhsh, E. Mingolla, M. L. Seghier, P. Vuilleumier, M. Singh, J. M. Fulvio, D. A. Stanley, N. Rubin, S. Zeki, S. Ullman: СРАВНЕНИЕ ВОСПРИЯТИЯ ЭМОЦИОНАЛЬНОГО КОНТЕКСТА МУЗЫКИ РОССИЙСКИМИ И КИТАЙСКИМИ МУЗЫКАНТАМИ. Естественно-научный подход в современной психологии. Litres (Jun. 2022)

Alessandra Stella, Peter Bouss, Günther Palm, Sonja Grün: Comparing surrogates to evaluate precisely timed higher-order spike correlations. Eneuro. Society for Neuroscience (Jun. 2022)

Irina Jarvers, Angelika Ecker, Daniel Schleicher, Alexandra Otto, Christian Jarvers: The Alexithymia Questionnaire for Children–German version (AQC-G). PsyArXiv (May. 2022)

Pedro Hack, Daniel Alexander Braun, Sebastian Gottwald: On a geometrical notion of dimension for partially ordered sets. arXiv preprint arXiv:2203.16272. (Apr. 2022)

Fraol Gelana Waldamichael, Taye Girma Debelee, Friedhelm Schwenker, Yehualashet Megersa Ayano, Samuel Rahimeto Kebede: Machine learning in cereal crops disease detection: a review. MDPI (Mar. 2022)

Pedro Hack, Daniel Alexander Braun, Sebastian Gottwald: Classification of preordered spaces in terms of monotones--Filling in the gaps. arXiv preprint arXiv:2202.12106. (Mar. 2022)

Peter Bellmann, Ludwig Lausser, Hans Kestler, Friedhelm Schwenker: A theoretical approach to ordinal classification: Feature space-based definition and classifier-independent detection of ordinal class structures. Applied Sciences. MDPI (Mar. 2022)

Pedro Hack, Sebastian Gottwald, Daniel Alexander Braun: Jarzyski's equality and Crooks' fluctuation theorem for general Markov chains. arXiv e-prints. (Mar. 2022)

Alessandra Stella, Sonja Grün, Alexa Riehle, Thomas Brochier, Peter Bouss, Günther Palm: Multiplexing neurons and multiple overlapping cell assemblies active during motor behavior. Computational and Systems Neuroscience (Jan. 2022)

Patrick Feifel, Benedikt Franke, Arne Raulf, Friedhelm Schwenker, Frank Bonarens, Frank Köster: Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection. (Jan. 2022)

Pedro Hack, Daniel Alexander Braun, Sebastian Gottwald: Classification of preordered spaces in terms of monotones–filling in the gaps. arXiv preprint arXiv:2202.12106. (Jan. 2022)

Sebastian Gottwald, Daniel Alexander Braun, Pedro Hack: The classification of preordered spaces in terms of monotones: complexity and optimization. (Jan. 2022)

Y. Ayano, Friedhelm Schwenker, B. D. Dufera, T. G. Debelee: Interpretable machine learning techniques in ECG-based heart disease classification: a systematic review. Diagnostics. 2023, 13 (1): 111. (Jan. 2022)

Peter Bellmann, L. Ludwig, Hans Kestler, Friedhelm Schwenker: Ordinal Classification: Feature Space-Based Definition and Classifier-Independent Detection of Ordinal Class Structures. Appl. Sci. s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affil-iations. (Jan. 2022)

Alessandra Stella, Peter Bouss, Günther Palm, Alexa Riehle, Thomas Brochier, Sonja Grün: Behaviorally relevant spatio-temporal spike patterns in parallel spike trains. Trials. (2021)

Reena Charlotte Pauly, Falk Lieder, Daniel Alexander Braun: How to incentivize efficient learning choices in digital learning environments? A reinforcement learning ap-proach applied to an educational game. (2021)

Cecilia Lindig-León, Gerrit Schmid, Daniel Alexander Braun: Bounded rational response equilibria in human sensorimotor interactions. Proceedings of the Royal Society B. The Royal Society (Dec. 2021)

Heinke Hihn, Daniel Alexander Braun: Mixture-of-Variational-Experts for Continual Learning. ICLR 2022 Workshop on Agent Learning in Open-Endedness. (Nov. 2021)

Mohammadreza Amirian, Javier A. Montoya-Zegarra, Jonathan Gruss, Yves D. Stebler, Ahmet Selman Bozkir, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann: PrepNet: a convolutional auto-encoder to homogenize CT scans for cross-dataset medical image analysis. 2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE (Nov. 2021)

Cecilia Lindig-León, Gerrit Schmid, Daniel Alexander Braun: Nash equilibria in human sensorimotor interactions explained by Q-learning with intrinsic costs. Scientific Reports. Nature Publishing Group UK (Nov. 2021)

Günther Palm: Significance of Spike Train Correlations. Introducing Computation to Neuroscience: Selected Papers of George Gerstein. Springer International Publishing (Nov. 2021)

Shuvamoy Chatterjee, Kushal Chakrabarti, Avishek Garain, Friedhelm Schwenker, Ram Sarkar: JUMRv1: a sentiment analysis dataset for movie recommendation. Applied Sciences. MDPI (Nov. 2021)

S. J. van Albada, A. Morales-Gregorio, T. Dickscheid, A. Goulas, R. Bakker, S. Bludau, Günther Palm, C.-C. Hilgetag, M. Diesmann: Bringing Anatomical Information into Neuronal Network Models. Computational Modelling of the Brain: Modelling Approaches to Cells, Circuits and Networks. Springer International Publishing (Nov. 2021)

Nikolai AK Steur, Friedhelm Schwenker: Next-generation neural networks: Capsule networks with routing-by-agreement for text classification. IEEE Access. IEEE (Oct. 2021)

Erena Siyoum Biratu, Friedhelm Schwenker, Yehualashet Megersa Ayano, Taye Girma Debelee: A survey of brain tumor segmentation and classification algorithms. Journal of Imaging. MDPI (Oct. 2021)

Patrick Thiam, Heinke Hihn, Daniel Alexander Braun, Hans Kestler, Friedhelm Schwenker: Multi-modal pain intensity assessment based on physiological signals: A deep learning perspective. Frontiers in Physiology. Frontiers Media SA (Oct. 2021)

Arne Groß, Antonia Lenders, Friedhelm Schwenker, Daniel Alexander Braun, David Fischer: Comparison of short-term electrical load forecasting methods for different building types. Energy Informatics. SpringerOpen (Oct. 2021)

Alessandra Stella, Peter Bouss, Günther Palm, Sonja Grün: Comparing surrogates to evaluate precisely timed higher-order spike correlations. (Sep. 2021)

Debadyuti Mukherjee, Koustav Dhar, Friedhelm Schwenker, Ram Sarkar: Ensemble of deep learning models for sleep apnea detection: an experimental study. Sensors. MDPI (Sep. 2021)

Shreya Biswas, Somnath Chatterjee, Arindam Majee, Shibaprasad Sen, Friedhelm Schwenker, Ram Sarkar: Prediction of COVID-19 from chest CT images using an ensemble of deep learning models. Applied Sciences. MDPI (Aug. 2021)

Flemming Brieger, Daniel Alexander Braun, Sascha Lange: Learning Task-Relevant Representations with Selective Contrast for Reinforcement Learning in a Real-World Application. ICML 2021 Workshop on Unsupervised Reinforcement Learning. (Aug. 2021)

Fabian Thaler, Stefan Faußer, Heiko Gewald: Using NLP to analyze whether customer statements comply with their inner belief. arXiv preprint arXiv:2107.11175. (Aug. 2021)

Cecilia Lindig-León, Gerrit Schmid, Daniel Alexander Braun: Dataset: Bounded rational response equilibria in human sensorimotor interactions. Universität Ulm (Jul. 2021)

Cecilia Lindig-León, Gerrit Schmid, Daniel Alexander Braun: Nash equilibria in human sensorimotor interactions explained by Q-Learning. bioRxiv. Cold Spring Harbor Laboratory (Jul. 2021)

Julian D. Schwab, Johannes Schobel, Silke D. Werle, Axel Fuerstberger, Nensi Ikonomi, Robin Szekely, Patrick Thiam, Rolf Huehne, Niels Jahn, Rainer Schuler, Peter Kuhn, Martin Holderried, Florian Steger, Manfred Reichert, Udo X. Kaisers, Angelika MR Kestler, Thomas Seufferlein, Hans Kestler: Perspective on mHealth concepts to ensure users’ empowerment–from adverse event tracking for COVID-19 vaccinations to oncological treatment. IEEE Access. IEEE (Jul. 2021)

Michael Winter, Cynthia Bredemeyer, Manfred Reichert, Heiko Neumann, Thomas Probst, Rüdiger Pryss: How Healthcare Professionals Comprehend Process Models-An Empirical Eye Tracking Analysis. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS). IEEE (Jul. 2021)

Angelika M. R. Kestler, Silke D. Kühlwein, Johann M. Kraus, Julian D. Schwab, Robin Szekely, Patrick Thiam, Rolf Hühne, Niels Jahn, Axel Fürstberger, Nensi Ikonomi, Julien Balig, Rainer Schuler, Peter Kuhn, Florian Steger, Thomas Seufferlein, Hans Kestler: Digitalization of adverse event management in oncology to improve treatment outcome—A prospective study protocol. PLOS ONE. Public Library of Science (Jul. 2021)

André Müller, Ludwig Lausser, Adalbert Wilhelm, Timo Ropinski, Matthias Platzer, Heiko Neumann, Hans Kestler: A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data. Advances in Data Analysis and Classification. Springer Berlin Heidelberg (Jul. 2021)

Samuel Rahimeto, Taye Girma Debelee, Dereje Yohannes, Friedhelm Schwenker: Automatic pectoral muscle removal in mammograms. Evolving Systems. Springer Berlin Heidelberg (Jul. 2021)

Soumya Deep Roy, Soham Das, Devroop Kar, Friedhelm Schwenker, Ram Sarkar: Computer aided breast cancer detection using ensembling of texture and statistical image features. Sensors. MDPI (Jun. 2021)

Patrick Thiam: Information fusion mechanisms for multi-modal affect recognition. (May. 2021)

Mohammadreza Amirian, Javier A. Montoya-Zegarra, Ahmet Selman Bozkir, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann: Domain Adaption for Homogenizing CT Scans using Auto-Encoders for Cross-Dataset Medical Image Analysis. (May. 2021)

Friedhelm Schwenker: Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades. Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops, S+ SSPR 2020, Padua, Italy, January 21–22, 2021, Proceedings. Springer Nature (May. 2021)

Subhrajit Dey, Rajdeep Bhattacharya, Friedhelm Schwenker, Ram Sarkar: Median filter aided CNN based image denoising: an ensemble approach. Algorithms. MDPI (Apr. 2021)

Timo Oess, Heiko Neumann, Marc O. Ernst: Two Are Better Than One: Solving the Problem of Vertical Sound Source Localization via Binaural Integration of HRTFs. bioRxiv. Cold Spring Harbor Laboratory (Apr. 2021)

Friedhelm Schwenker: Keynote: Machine learning and data analysis of multimodal affective and pain data. 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE (Apr. 2021)

Günther Palm, Hans-Joachim Bentz: Theoretische Untersuchungen zu einfachen neuronalen Netzen. (Mar. 2021)

Erena Siyoum Biratu, Friedhelm Schwenker, Taye Girma Debelee, Samuel Rahimeto Kebede, Worku Gachena Negera, Hasset Tamirat Molla: Enhanced region growing for brain tumor MR image segmentation. Journal of Imaging. MDPI (Mar. 2021)

Peter Bellmann, Patrick Thiam, Friedhelm Schwenker: Using meta labels for the training of weighting models in a sample-specific late fusion classification architecture. 2020 25th International Conference on Pattern Recognition (ICPR). IEEE (Feb. 2021)

Anuran Chakraborty, Rajonya De, Samir Malakar, Friedhelm Schwenker, Ram Sarkar: Handwritten digit string recognition using deep autoencoder based segmentation and resnet based recognition approach. 2020 25Th international conference on pattern recognition (ICPR). IEEE (Feb. 2021)

Juliana Miehle, Sabine Wieluch, Wolfgang Minker, Stefan Ultes: Decide or Delegate: How Script Knowledge Based Conversational Assistants Should Act in Inconclusive Situations. Adjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking. (Feb. 2021)

Rajdeep Bhattacharya, Samir Malakar, Friedhelm Schwenker, Ram Sarkar: Fuzzy-Based Pseudo Segmentation Approach for Handwritten Word Recognition Using a Sequence to Sequence Model with Attention. Pattern recognition. ICPR International Workshops and Challenges: virtual event, January 10–15, 2021, Proceedings, Part II. Springer International Publishing (Jan. 2021)

Mohammadreza Amirian, Javier A. Montoya-Zegarra, Ahmet Selman Bozkir, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann: PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset COVID-19 Diagnosis. (Jan. 2021)

Youssef Wally, Yara Samaha, Ziad Yasser, Steffen Walter, Friedhelm Schwenker: Personalized k-fold Cross-Validation Analysis with Transfer from Phasic to Tonic Pain Recognition on X-ITE Pain Database. Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10–15, 2021, Proceedings, Part VI. Springer International Publishing (Jan. 2021)

Peter Bellmann, Ludwig Lausser, Hans Kestler, Friedhelm Schwenker: Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades. Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops, S+ SSPR 2020, Padua, Italy, January 21–22, 2021, Proceedings. Springer International Publishing (Jan. 2021)

Peter Bouss, Sonja Grün, Alessandra Stella, Günther Palm: Surrogate methods for robust significance evaluation of spike patterns in non-Poisson data. Computational and Systems Neuroscience (Jan. 2021)

Alessandra Stella, Sonja Grün, Alexa Riehle, Peter Bouss, Günther Palm: Significant Spatio-Temporal Spike Patterns in Macaque Monkey Motor Cortex. Computational and Systems Neuroscience (Jan. 2021)

Sabine Wieluch, Friedhelm Schwenker: Co-creative Drawing with One-Shot Generative Models. Artificial Intelligence in Music, Sound, Art and Design: 10th International Conference, EvoMUSART 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings 10. Springer International Publishing (Jan. 2021)

Pedro Hack, Daniel Alexander Braun, Sebastian Gottwald: Representing Pareto optima in preordered spaces: from Shannon entropy to injective monotones.. CoRR. (Jan. 2021)

Alessandra Stella, Sonja Grün, Peter Bouss, Günther Palm: Surrogate techniques for testing higher order correlations in parallel spike trains. Computational and Systems Neuroscience (Jan. 2021)

Peter Bellmann, Ludwig Lausser, Hans Kestler, Friedhelm Schwenker: Introducing Bidirectional Ordinal Classifier Cascades Based on a Pain Intensity Recognition Scenario. Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10–15, 2021, Proceedings, Part VI. Springer International Publishing (Jan. 2021)

Peter Bouss, Sonja Grün, Alessandra Stella, Günther Palm: Surrogate methods for spike pattern detection in non-Poisson data. Computational and Systems Neuroscience (Jan. 2021)

Timo Oess, Heiko Neumann: Brain-inspired visual-Auditory Integration Yielding Near Optimal Performance–Modelling and Neuromorphic Algorithms. Brain-inspired Computing. (Jan. 2021)

Mohammadreza Amirian, Lukas Tuggener, Ricardo Chavarriaga, Yvan Putra Satyawan, Frank-Peter Schilling, Friedhelm Schwenker, Thilo Stadelmann: Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness. Trustworthy AI-Integrating Learning, Optimization and Reasoning: First International Workshop, TAILOR 2020, Virtual Event, September 4–5, 2020, Revised Selected Papers 1. Springer International Publishing (Jan. 2021)

Thomas Bottesch: Distance approximations for clustering. (2020)

Samuel Rahimeto Kebede, Taye Girma Debelee, Friedhelm Schwenker, Dereje Yohannes: Classifier based breast cancer segmentation. Journal of Biomimetics, Biomaterials and Biomedical Engineering. Trans Tech Publications Ltd (2020)

Sebastian Gottwald, Daniel Alexander Braun: The two kinds of free energy and the Bayesian revolution. PLOS Computational Biology. Public Library of Science (2020)

Peter Bellmann, Friedhelm Schwenker: Automated Pain Assessment: Is it Useful to Combine Person-Specific Data Samples?. 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE (2020)

Heinke Hihn, Daniel Alexander Braun: Specialization in Hierarchical Learning Systems. Neural Processing Letters. Springer US (2020)

Peter Bellmann, Heinke Hihn, Daniel Alexander Braun, Friedhelm Schwenker: Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts. arXiv preprint arXiv:2011.14764. (Dec. 2020)

Basavaraj Hampiholi, Christian Jarvers, Wolfgang Mader, Heiko Neumann: Depthwise Separable Temporal Convolutional Network for Action Segmentation. 2020 International Conference on 3D Vision (3DV). IEEE (Dec. 2020)

Cecilia Lindig-León, Sébastien Rimbert, Laurent Bougrain: Multiclass classification based on combined motor imageries. Frontiers in Neuroscience. Frontiers Media SA (Dec. 2020)

Taye Girma Debelee, Samuel Rahimeto Kebede, Friedhelm Schwenker, Zemene Matewos Shewarega: Deep learning in selected cancers’ image analysis—a survey. MDPI (Dec. 2020)

Friedhelm Schwenker: Ordinal Classification: Working Definition and Detection of Ordinal Structures. EEE Access IEEE Access. IEEE (Dec. 2020)

Daniel Schmid, Christian Jarvers, Heiko Neumann: Learning visual contour tracing in a deep recurrent network based on a cortical columnar architecture. Journal of Vision. The Association for Research in Vision and Ophthalmology (Nov. 2020)

Melanie Dickinson, Max Kreminski, Michael Mateas, Noah Wardrip-Fruin, Sabine Wieluch: Playable Experiences at the 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. (Nov. 2020)

Heinke Hihn, Daniel Alexander Braun: Specialization in Hierarchical Learning Systems A Unified Information-theoretic Approach for Supervised, Unsupervised and Reinforcement Learning. NEURAL PROCESSING LETTERS. SPRINGER (Oct. 2020)

Peter Bellmann, Friedhelm Schwenker: Ordinal classification: Working definition and detection of ordinal structures. IEEE Access. IEEE (Oct. 2020)

Jasmin Dalferth, Sven Winkelmann, Friedhelm Schwenker: Using Mask R-CNN for Image-Based Wear Classification of Solid Carbide Milling and Drilling Tools. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer International Publishing (Oct. 2020)

Maximilian P. R. Löhr, Christian Jarvers, Heiko Neumann: Complex neuron dynamics on the IBM TrueNorth neurosynaptic system. 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS). IEEE (Sep. 2020)

Timo Oess, Maximilian P. R. Löhr, Christian Jarvers, Daniel Schmid, Heiko Neumann: A bio-inspired model of sound source localization on neuromorphic hardware. 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS). IEEE (Sep. 2020)

Peter Bellmann, Patrick Thiam, Friedhelm Schwenker: Dominant channel fusion architectures-an intelligent late fusion approach. 2020 International Joint Conference on Neural Networks (IJCNN). IEEE (Aug. 2020)

Friedhelm Schwenker: Dominant Channel Fusion Architectures - An Intelligent Late Fusion Approach. 020 International Joint Conference on Neural Networks (IJCNN) 2020 International Joint Conference on Neural Networks (IJCNN). IEEE (Aug. 2020)

V. Bayer, Friedhelm Schwenker, F. Ebner: Machine Learning to Support the Tumor Board-a first retrospective Database Trial. GEBURTSHILFE UND FRAUENHEILKUNDE. GEORG THIEME VERLAG KG (Aug. 2020)

V. Bayer, Friedhelm Schwenker, F. Ebner: Maschinelles Lernen zur Unterstützung im Tumorboard–ein erster retrospektiver Datenbankversuch. Geburtshilfe und Frauenheilkunde. Georg Thieme Verlag KG (Aug. 2020)

Alex Bäuerle, Heiko Neumann, Timo Ropinski: Classifier‐Guided Visual Correction of Noisy Labels for Image Classification Tasks. Computer Graphics Forum. (Jul. 2020)

Gerrit Schmid, Daniel Alexander Braun: Human group coordination in a sensorimotor task with neuron-like decision-making. Scientific Reports. Nature Publishing Group (Jun. 2020)

Timo Oess, Maximilian P. R. Löhr, Daniel Schmid, Marc O. Ernst, Heiko Neumann: From near-optimal Bayesian Integration to Neuromorphic Hardware: A neural network model of multisensory integration. Frontiers in Neurorobotics. Frontiers (Jun. 2020)

Timo Oess, Maximilian P. R. Löhr, Daniel Schmid, Marc O. Ernst, Heiko Neumann: From near-optimal bayesian integration to neuromorphic hardware: A neural network model of multisensory integration. Frontiers in Neurorobotics. Frontiers (Jun. 2020)

Friedhelm Schwenker: Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability. EEE Access IEEE Access. IEEE (Jun. 2020)

Peter Bellmann, Patrick Thiam, Friedhelm Schwenker: Person Identification based on Physiological Signals: Conditions and Risks. ICPRAM 2020. (May. 2020)

Dilana Hazer-Rau, Sascha Meudt, Andreas Daucher, Jennifer Spohrs, Holger Hoffmann, Friedhelm Schwenker, Harald Christhelm Traue: The uulmMAC database-A multimodal affective corpus for affective computing in human-computer interaction. Sensors. MDPI (May. 2020)

Sabine Wieluch, Friedhelm Schwenker: StrokeCoder: Path-Based Image Generation from Single Examples using Transformers. arXiv preprint arXiv:2003.11958. (Apr. 2020)

Patrick Thiam, Hans Kestler, Friedhelm Schwenker: Two-stream attention network for pain recognition from video sequences. Sensors. MDPI (Mar. 2020)

Timo Oess, Marc O. Ernst, Heiko Neumann: Computational Investigation of Visually Guided Learning of Spatially Aligned Auditory Maps in the Colliculus. bioRxiv. Cold Spring Harbor Laboratory (Mar. 2020)

Patrick Thiam, Hans Kestler, Friedhelm Schwenker: Multimodal Deep Denoising Convolutional Autoencoders for Pain Intensity Classification based on Physiological Signals.. ICPRAM. (Mar. 2020)

Andreas Knoblauch, Günther Palm: Iterative retrieval and block coding in autoassociative and heteroassociative memory. Neural Computation. MIT Press (Feb. 2020)

Patrick Thiam, Hans Kestler, Friedhelm Schwenker: Two-Stream Attention Network for Pain Recognition from Video Sequences. Sensors. Multidisciplinary Digital Publishing Institute (Feb. 2020)

Dilana Hazer-Rau, Sascha Meudt, Andreas Daucher, Jennifer Spohrs, Holger Hoffmann, Friedhelm Schwenker, Harald Christhelm Traue: The uulmMAC Database—A Multimodal Affective Corpus for Affective Computing in Human-Computer Interaction. Sensors. Multidisciplinary Digital Publishing Institute (Feb. 2020)

Timo Oess, Maximilian P. R. Löhr, Christian Jarvers, Daniel Schmid, Heiko Neumann: A Bio-Inspired Model of Sound Source Localization on Neuromorphic Hardware. 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS). IEEE (Jan. 2020)

Markus Kächele: Experimental validation of pain intensity estimation. Machine Learning Systems for Multimodal Affect Recognition. Springer Vieweg, Wiesbaden (Jan. 2020)

Nadeen Shoukry, Omar Elkilany, Patrick Thiam, Viktor Kessler, Friedhelm Schwenker: Subject-independent Pain Recognition using Physiological Signals and Para-linguistic Vocalizations.. ICPRAM. (Jan. 2020)

Uwe Messer, Stefan Faußer: Machine Learning Infusion in Service Processes. Automatisierung und Personalisierung von Dienstleistungen. Springer Gabler, Wiesbaden (Jan. 2020)

Markus Kächele: Applications and Affective corpora. Machine Learning Systems for Multimodal Affect Recognition. Springer Vieweg, Wiesbaden (Jan. 2020)

Peter Bellmann, Patrick Thiam, Friedhelm Schwenker: Person Identification based on Physiological Signals: Conditions and Risks.. ICPRAM. (Jan. 2020)

Peter Bellmann, Patrick Thiam, Friedhelm Schwenker: Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario. Artificial Neural Networks in Pattern Recognition: 9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020, Proceedings 9. Springer International Publishing (Jan. 2020)

Markus Kächele: Machine Learning Systems for Multimodal Affect Recognition. Springer Vieweg. in Springer Fachmedien Wiesbaden GmbH (Jan. 2020)

Markus Kächele: Modalities and Feature extraction. Machine Learning Systems for Multimodal Affect Recognition. Springer Vieweg, Wiesbaden (Jan. 2020)

Markus Kächele: Machine learning for the estimation of affective dimensions. Machine Learning Systems for Multimodal Affect Recognition. Springer Vieweg, Wiesbaden (Jan. 2020)

Markus Kächele: Experimental validation of Methodological advancements. Machine Learning Systems for Multimodal Affect Recognition. Springer Vieweg, Wiesbaden (Jan. 2020)

Alessandra Stella, Sonja Grün, Peter Bouss, Günther Palm: Comparison of surrogate techniques for evaluation of spatio-temporal patterns in case of regular data. Computational and Systems Neuroscience (Jan. 2020)

Peter Bellmann, Patrick Thiam, Friedhelm Schwenker: Automatic Pain Intensity Recognition: Training Set Selection based on Outliers and Centroids.. ESANN. (Jan. 2020)

C. Neumann, Tobias Brosch: Deep Learning Approach for Radar Applications. 21st International Radar Symposium (IRS). (Jan. 2020)

Markus Kächele: Classification and regression approaches. Machine Learning Systems for Multimodal Affect Recognition. Springer Vieweg, Wiesbaden (Jan. 2020)

Tobias Ricken, Adrian Steinert, Peter Bellmann, Steffen Walter, Friedhelm Schwenker: Feature Extraction: A Time Window Analysis Based on the X-ITE Pain Database. Artificial Neural Networks in Pattern Recognition: 9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020, Proceedings 9. Springer International Publishing (Jan. 2020)

Alessandra Stella, Sonja Grün, Peter Bouss, Günther Palm: Reoccurring spatio-temporal spike patterns in parallel spike trains. Computational and Systems Neuroscience (Jan. 2020)

Markus Kächele: Adaptation and personalization of classifiers. Machine Learning Systems for Multimodal Affect Recognition. Springer Vieweg, Wiesbaden (Jan. 2020)

Heinke Hihn, Sebastian Gottwald, Daniel Alexander Braun: An information-theoretic on-line learning principle for specialization in hierarchical decision-making systems. 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE (2019)

Yan Zhang, Mohamed Hassan, Heiko Neumann, Michael J. Black, Siyu Tang: Generating 3D People in Scenes without People. arXiv preprint arXiv:1912.02923. (2019)

Cecilia Lindig-León, Sebastian Gottwald, Daniel Alexander Braun: Analyzing abstraction and hierarchical decision-making in absolute identification by information-theoretic bounded rationality. Frontiers in neuroscience. Frontiers Media SA (Dec. 2019)

Heinke Hihn, Daniel Alexander Braun: Hierarchical Expert Networks for Meta-Learning. ICML 2020 Workshop on Lifelong Machine Learning. (Nov. 2019)

Patrick Thiam, Peter Bellmann, Hans Kestler, Friedhelm Schwenker: Exploring deep physiological models for nociceptive pain recognition. Sensors. MDPI (Nov. 2019)

Patrick Thiam, Peter Bellmann, Hans Kestler, Friedhelm Schwenker: Exploring Deep Physiological Models for Nociceptive Pain Recognition. Sensors. MDPI (Nov. 2019)

Karan Sharma, Claudio Castellini, Egon L. van den Broek, Alin Albu-Schaeffer, Friedhelm Schwenker: Continuously Annotated Signals of Emotion. Universität Ulm (Nov. 2019)

Yan Zhang, Krikamol Muandet, Qianli Ma, Heiko Neumann, Siyu Tang: Frontal low-rank random tensors for high-order feature representation. (Oct. 2019)

Andreas Knoblauch, Günther Palm: Bidirectional Associative Memory with Block Coding: A Comparison of Iterative Retrieval Methods. International Conference on Artificial Neural Networks. Springer, Cham (Oct. 2019)

Friedhelm Schwenker: Aspects of high performance flat external rotor motors. IKMT 2019-Innovative small Drives and Micro-Motor Systems; 12. ETG/GMM-Symposium. VDE (Oct. 2019)

Sabine Wieluch, Friedhelm Schwenker: Dropout Induced Noise for Co-Creative GAN Systems. arXiv preprint arXiv:1909.04474. (Oct. 2019)

Anuran Chakraborty, Rajonya De, Agneet Chatterjee, Friedhelm Schwenker, Ram Sarkar: Filter Method Ensemble with Neural Networks. International Conference on Artificial Neural Networks. Springer, Cham (Oct. 2019)

Maximilian P. R. Löhr, Daniel Schmid, Heiko Neumann: Motion Integration and Disambiguation concerted by Feedforward-Feedback Interactions of V1-MT-MSTl. Journal of Vision. The Association for Research in Vision and Ophthalmology (Oct. 2019)

Christian Jarvers, Heiko Neumann: A compartmental model of feedback modulation in visual cortex. Journal of Vision. The Association for Research in Vision and Ophthalmology (Oct. 2019)

Peter Bellmann, Patrick Thiam, Friedhelm Schwenker: Using a quartile-based data transformation for pain intensity classification based on the senseemotion database. 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). IEEE (Oct. 2019)

Nikolai Kalischek, Patrick Thiam, Peter Bellmann, Friedhelm Schwenker: Deep Domain Adaptation for Facial Expression Analysis. 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). IEEE (Oct. 2019)

Nikolai Kalischek, Patrick Thiam, Peter Bellmann, Friedhelm Schwenker: Deep domain adaptation for facial expression analysis. 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). IEEE (Oct. 2019)

Peter Bellmann, Patrick Thiam, Friedhelm Schwenker: Using a Quartile-based Data Transformation for Pain Intensity Classification based on the SenseEmotion Database. 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). IEEE (Oct. 2019)

Peter Bellmann, Patrick Thiam, Friedhelm Schwenker: Using a quartile-based data transtransform for pain intensity classification based on the SenseEmotion Database. Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, Cambridge, UK. (Oct. 2019)

Junji Ito, Emanuele Lucrezia, Günther Palm, Sonja Grün: Detection and evaluation of bursts in terms of novelty and surprise. Math. Biosci. Eng. (Aug. 2019)

Heinke Hihn, Sebastian Gottwald, Daniel Alexander Braun: An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems. arXiv preprint arXiv:1907.11452. (Aug. 2019)

Taye Girma Debelee, Friedhelm Schwenker, Samuel Rahimeto, Dereje Yohannes: Evaluation of modified adaptive k-means segmentation algorithm. Computational Visual Media. Tsinghua University Press (Aug. 2019)

Maximilian P. R. Löhr, Daniel Schmid, Heiko Neumann: Motion Integration and Disambiguation by Spiking V1-MT-MSTl Feedforward-Feedback Interaction. 2019 International Joint Conference on Neural Networks (IJCNN). IEEE (Aug. 2019)

Maximilian P. R. Löhr, Daniel Schmid, Heiko Neumann: Motion integration and disambiguation by spiking V1-MT-MSTl feedforward-feedback interaction. 2019 International Joint Conference on Neural Networks (IJCNN). IEEE (Aug. 2019)

Christian Jarvers, Daniel Schmid, Heiko Neumann: Temporal Learning of Dynamics in Complex Neuron Models using Backpropagation. 2019 International Joint Conference on Neural Networks (IJCNN). IEEE (Aug. 2019)

Sascha Meudt: Maschinelle Emotionserkennung in der Mensch-Maschine Interaktion. (Jul. 2019)

Georg Layher: What, Where, and When? Mechanisms of Learning Biological Motion Representations.. (Jul. 2019)

Yan Zhang, Krikamol Muandet, Qianli Ma, Heiko Neumann, Siyu Tang: Low-rank Random Tensor for Bilinear Pooling. arXiv preprint arXiv:1906.01004. (Jul. 2019)

Yan Zhang, Krikamol Muandet, Qianli Ma, Heiko Neumann, Siyu Tang: Frontal Low-rank Random Tensors for Fine-grained Action Segmentation. arXiv preprint arXiv:1906.01004. (Jul. 2019)

Sebastian Gottwald, Daniel Alexander Braun: Bounded rational decision-making from elementary computations that reduce uncertainty. Entropy. Multidisciplinary Digital Publishing Institute (May. 2019)

Sebastian Gottwald, Daniel Alexander Braun: Bounded Rational Decision-Making from Elementary Computations That Reduce Uncertainty. Entropy. Multidisciplinary Digital Publishing Institute (May. 2019)

Karan Sharma, Marius Wagner, Claudio Castellini, Egon L. van den Broek, Freek Stulp, Friedhelm Schwenker: A functional data analysis approach for continuous 2-D emotion annotations. Web Intelligence. IOS Press (Mar. 2019)

Günther Palm, Friedhelm Schwenker: Artificial Development by Reinforcement Learning Can Benefit from Multiple Motivations. Frontiers in Robotics and AI. Frontiers (Mar. 2019)

Selam W. Habtegiorgis, Christian Jarvers, Katharina Rifai, Heiko Neumann, Siegfried Wahl: The role of bottom-up and top-down cortical interactions in adaptation to natural scene statistics. Frontiers in Neural Circuits. Frontiers Media SA (Mar. 2019)

Selam Wondimu Habtegiorgis, Christian Jarvers, Katharina Rifai, Heiko Neumann, Siegfried Wahl: The role of bottom-up and top-down cortical interactions in adaptation to natural scene statistics. Frontiers in Neural Circuits. Frontiers (Mar. 2019)

T. Öner, Patrick Thiam, G. Kos, R. Krska, Friedhelm Schwenker, B. Mizaikoff: Machine learning algorithms for the automated classification of contaminated maize at regulatory limits via infrared attenuated total reflection spectroscopy. World Mycotoxin Journal. Wageningen Academic Publishers (Feb. 2019)

Patrick Thiam, Viktor Kessler, Mohammadreza Amirian, Peter Bellmann, Georg Layher, Yan Zhang, Maria Velana, Sascha Gruss, Steffen Walter, Harald Christhelm Traue, Daniel Schork, Jonghwa Kim, Elisabeth André, Heiko Neumann, Friedhelm Schwenker: Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database. IEEE Transactions on Affective Computing. IEEE (Feb. 2019)

Patrick Thiam, Viktor Kessler, Mohammadreza Amirian, Peter Bellmann, Georg Layher, Yan Zhang, Maria Velana, Sascha Gruss, Steffen Walter, Harald Christhelm Traue, Jonghwa Kim, Daniel Schork, Elisabeth Andre, Heiko Neumann, Friedhelm Schwenker: Multi-modal Pain Intensity Recognition based on the SenseEmotion Database. IEEE Transactions on Affective Computing. IEEE (Feb. 2019)

Patrick Thiam, Peter Bellmann, Hans Kestler, Friedhelm Schwenker: Exploring Deep Physiological Models for Nociceptive Pain Recognition. bioRxiv. Cold Spring Harbor Laboratory (Feb. 2019)

Timo Oess, Marc O. Ernst, Heiko Neumann: Computational principles of neural adaptation for binaural signal integration. bioRxiv. Cold Spring Harbor Laboratory (Feb. 2019)

K. Sharma, C. Castellini, E. L. van den Broek, A. Albu-Schaeffer, Friedhelm Schwenker: A dataset of continuous affect annotations and physiological signals for emotion analysis. Sci. Data 6, 1–13. (Jan. 2019)

Patrick Thiam, Viktor Kessler, Mohammadreza Amirian, Peter Bellmann, Yan Zhang, GrussS VelanaM, TraueH WalterF, E. Andre, Heiko Neumann, Friedhelm Schwenker: Multi-modal pain intensity recognition based on the senseemotion database. IEEETransAffectComput. (Jan. 2019)

Heinke Hihn, Sebastian Gottwald, Daniel Alexander Braun: 2019 IEEE 58th Conference on Decision and Control (CDC). (Jan. 2019)

K. Sharma, C. Castellini, E. L. van den Broek, A. Albu-Schaeffer, Friedhelm Schwenker: A dataset of continuous affect annotations and physiological signals for emotion analysis. Scientific Data, 6 (1), 196. (Jan. 2019)

Friedhelm Schwenker, Stefan Scherer: Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction: 5th IAPR TC 9 Workshop, MPRSS 2018, Beijing, China, August 20, 2018, Revised Selected Papers. Springer (Jan. 2019)

Tobias Brosch, A. Elshaarany: Object Detection and Classification on Heterogeneous Datasets. ICPRAM. (Jan. 2019)

Taye Girma Debelee, Friedhelm Schwenker, Achim Ibenthal, Dereje Yohannes: Survey of deep learning in breast cancer image analysis. Springer Berlin Heidelberg (Jan. 2019)

Daniel Schmid, Maximilian P. R. Lohr, Heiko Neumann: Perceptual Motion Illusions as a Tool to Probe Neural Mechanisms of Motion Integration in the V1-MT-MSTl Feedforward-Feedback System. 2019 Conference on Cognitive Computational Neuroscience. (Jan. 2019)

Mohammadreza Amirian, Katharina Rombach, Lukas Tuggener, Frank-Peter Schilling, Thilo Stadelmann: Efficient deep CNNs for cross-modal automated computer vision under time and space constraints. ECML-PKDD 2019, Würzburg, Germany, 16-19 September 2019. ZHAW Zürcher Hochschule für Angewandte Wissenschaften (Jan. 2019)

Yan Zhang, Siyu Tang, Krikamol Muandet, Christian Jarvers, Heiko Neumann: Local temporal bilinear pooling for fine-grained action parsing. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. (Jan. 2019)

Taye Girma Debelee, Abrham Gebreselasie, Friedhelm Schwenker, Mohammadreza Amirian, Dereje Yohannes: Classification of Mammograms Using Texture and CNN Based Extracted Features. Journal of Biomimetics, Biomaterials and Biomedical Engineering. Trans Tech Publications Ltd (Jan. 2019)

Christian Jarvers, Heiko Neumann: Incorporating Feedback in Convolutional Neural Networks. 2019 Conference on Cognitive Computational Neuroscience. (Jan. 2019)

Shibaprasad Sen, Mridul Mitra, Ankan Bhattacharyya, Ram Sarkar, Friedhelm Schwenker, Kaushik Roy: Feature Selection for Recognition of Online Handwritten Bangla Characters. Neural Processing Letters. Springer US (Jan. 2019)

Cecilia Lindig-León, Sebastian Gottwald, Daniel Alexander Braun: Analyzing abstraction and hierarchical decision-making in absolute identification by information-theoretic bounded rationality. Frontiers in Neuroscience. Frontiers (Jan. 2019)

Sonja Schach, Sebastian Gottwald, Daniel Alexander Braun: Quantifying motor task performance by bounded rational decision theory. Frontiers in Neuroscience. Frontiers Media SA (2018)

Sonja Schach: Dataset: Quantifying motor task performance by bounded rational decision theory. Universität Ulm (2018)

Karan Sharma, Claudio Castellini, Egon L. Broek, Alin Albu-Schaeffer, Friedhelm Schwenker: A dataset of continuous affect annotations and physiological signals for emotion analysis. arXiv preprint arXiv:1812.02782. (2018)

Yan Zhang, Heiko Neumann: An Empirical Study towards Understanding How Deep Convolutional Nets Recognize Falls. arXiv preprint arXiv:1812.01923. (2018)

Yan Zhang, Siyu Tang, Krikamol Muandet, Christian Jarvers, Heiko Neumann: Local Temporal Bilinear Pooling for Fine-grained Action Parsing. arXiv preprint arXiv:1812.01922. (2018)

Adrian T. Ruiz, Julian Equihua, Santiago Martínez, Everardo Robredo, Günther Palm, Friedhelm Schwenker: Detection of Bat Acoustics Signals Using Voice Activity Detection Techniques with Random Forests Classification. Iberoamerican Congress on Pattern Recognition. Springer International Publishing (Dec. 2018)

Adrian T. Ruiz, Julian Equihua, Santiago Martínez, Everardo Robredo, Günther Palm, Friedhelm Schwenker: Detection of Bat Acoustics Signals Using Voice Activity Detection Techniques with Random Forests Classification. Iberoamerican Congress on Pattern Recognition. Springer, Cham (Dec. 2018)

Edmondo Trentin, Friedhelm Schwenker, Neamat El Gayar, Hazem M. Abbas: Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition. Neural Processing Letters. Springer US (Nov. 2018)

Heinke Hihn, Sebastian Gottwald, Daniel Alexander Braun: Bounded Rational Decision-Making with Adaptive Neural Network Priors. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer, Cham (Oct. 2018)

Ludwig Lausser, Robin Szekely, Viktor Kessler, Friedhelm Schwenker, Hans Kestler: Selecting Features from Foreign Classes. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer, Cham (Oct. 2018)

Adrian T. Ruiz, Patrick Thiam, Friedhelm Schwenker, Günther Palm: A (k) -Nearest Neighbor Based Algorithm for Multi-Instance Multi-Label Active Learning. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer, Cham (Oct. 2018)

Sebastian Gottwald, Daniel Alexander Braun: Systems of bounded rational agents with information-theoretic constraints. Neural computation. MIT Press (Oct. 2018)

Yan Zhang, Siyu Tang, He Sun, Heiko Neumann: Human Motion Parsing by Hierarchical Dynamic Clustering.. BMVC. (Oct. 2018)

Luca Pancioni, Friedhelm Schwenker, Edmondo Trentin: Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings. Springer (Sep. 2018)

Jan Sellner, Patrick Thiam, Friedhelm Schwenker: Visualizing Facial Expression Features of Pain and Emotion Data. IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Springer, Cham (Sep. 2018)

Venkatesh Srinivasan, Sascha Meudt, Friedhelm Schwenker: Deep Learning Algorithms for Emotion Recognition on Low Power Single Board Computers. IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Springer, Cham (Sep. 2018)

Patrick Thiam, Friedhelm Schwenker: Combining Deep and Hand-Crafted Features for Audio-Based Pain Intensity Classification. IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Springer International Publishing (Sep. 2018)

Danila Mamontov, Iana Polonskaia, Alina Skorokhod, Eugene Semenkin, Viktor Kessler, Friedhelm Schwenker: Evolutionary Algorithms for the Design of Neural Network Classifiers for the Classification of Pain Intensity. IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Springer, Cham (Sep. 2018)

Patrick Thiam, Friedhelm Schwenker: Combining Deep and Hand-Crafted Features for Audio-Based Pain Intensity Classification. IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Springer, Cham (Sep. 2018)

Alex Bäuerle, Heiko Neumann, Timo Ropinski: Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data. arXiv preprint arXiv:1808.03114. (Sep. 2018)

Sebastian Gottwald: Two-term spectral asymptotics for the Dirichlet pseudo-relativistic kinetic energy operator on a bounded domain. Annales Henri Poincaré. Springer (Sep. 2018)

Robin Szekely, Ludwig Lausser, Viktor Kessler, Friedhelm Schwenker, Hans Kestler: Utilizing foreign classes for feature selection. Ulmer Informatik-Berichte. (Aug. 2018)

Michael Zimoch, Rüdiger Pryss, Georg Layher, Heiko Neumann, Thomas Probst, Winfried Schlee, Manfred Reichert: Utilizing the Capabilities Offered by Eye-Tracking to Foster Novices’ Comprehension of Business Process Models. International Conference on Cognitive Computing. Springer, Cham (Jul. 2018)

Paul Kraus, Camilla Mohrdieck, Friedhelm Schwenker: Ship classification based on trajectory data with machine-learning methods. 018 19th International Radar Symposium (IRS) 2018 19th International Radar Symposium (IRS). IEEE (Jul. 2018)

Maximilian P. R. Löhr, Heiko Neumann: Contrast Detection in Event-Streams from Dynamic Vision Sensors with Fixational Eye Movements. 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE (Jun. 2018)

Yan Zhang, He Sun, Siyu Tang, Heiko Neumann: Temporal Human Action Segmentation via Dynamic Clustering. arXiv preprint arXiv:1803.05790. (Apr. 2018)

Friedhelm Schwenker: Multimodal Affect Classification Using Deep Neural Networks. (Apr. 2018)

Shibaprasad Sen, Shubham Chowdhury, Mridul Mitra, Friedhelm Schwenker, Ram Sarkar, Kaushik Roy: A novel segmentation technique for online handwritten Bangla words. Pattern Recognition Letters. North-Holland (Mar. 2018)

L. Pancioni, Friedhelm Schwenker, Edmondo Trentin: Springer: Berlin. Heidelberg, Germany. (Jan. 2018)

Peter Bellmann, Patrick Thiam, Friedhelm Schwenker: Multi-classifier-Systems: Architectures, Algorithms and Applications. Computational Intelligence for Pattern Recognition. Springer, Cham (Jan. 2018)

Peter Bellmann, Patrick Thiam, Friedhelm Schwenker: Multi-classifier-Systems: Architectures, Algorithms and Applications. Computational intelligence for pattern recognition. Springer International Publishing (Jan. 2018)

Siegfried Wahl, Selam Habtegiorgis, Christian Jarvers, Katharina Rifai, Heiko Neumann: Model investigation on contribution of feedback in distortion induced motion adaptation. (Jan. 2018)

Georg Layher, Heiko Neumann: Points and Stripes: A Novel Technique for Masking Biological Motion Point-Light Stimuli. Frontiers in Psychology. Frontiers (Jan. 2018)

Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann: Trace and detect adversarial attacks on CNNs using feature response maps. 8th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR), Siena, Italy, September 19–21, 2018. IAPR (Jan. 2018)

Sonja Schach, Sebastian Gottwald, Daniel Alexander Braun: Quantifying motor task performance by bounded rational decision theory. Frontiers in neuroscience. Frontiers (Jan. 2018)

Emanuele Lucrezia, Günther Palm, Junji Ito, Sonja Grün: Statistical Definition of Bursting in Neural Spike Trains by Means of Novelty and Surprise Measure. Computational and Systems Neuroscience (Jan. 2018)

Peter Bellmann, Patrick Thiam, Friedhelm Schwenker: Computational Intelligence for Pattern Recognition. Computational Intelligence for Pattern Recognition; Pedrycz, W., Chen, SM, Eds. (Jan. 2018)

Tobias Brosch, S. Grünwedel, C. Connette: Facets of the Usage of High-Precision Digital Maps for Driver Assistance and Autonomous Driving. Automotive Sensor Systems – Sensor Technologies on the Way to Autonomous Driving. (Jan. 2018)

Heinke Hihn, Sebastian Gottwald, Daniel Alexander Braun: Bounded Rational Decision-Making with Adaptive Neural Network Priors. Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings 8. Springer International Publishing (Jan. 2018)

Heiko Neumann, Friedhelm Schwenker, Gabriel Haas, Enrico Rukzio, Katrin Plaumann, Patrick Thiam, Yan Zhang: Multisensorische Schmerz-und Emotionserkennung: Avatar-basiertes Affektmanagement für ältere Menschen; Teilvorhaben: Affektive Interaktion: Audiovisuelle Analyse und …. Universität Ulm (Jan. 2018)

Jordi Grau-Moya, Matthias Krüger, Daniel Alexander Braun: Non-Equilibrium Relations for Bounded Rational Decision-Making in Changing Environments. Entropy. Multidisciplinary Digital Publishing Institute (2017)

Patrick Thiam, Friedhelm Schwenker: Multi-modal data fusion for pain intensity assessment and classification. Tools and Applications (IPTA), 2017 Seventh International Conference on Image Processing Theory. IEEE (Dec. 2017)

Yan Zhang, Georg Layher, Heiko Neumann: Continuous activity understanding based on accumulative pose-context visual patterns. Tools and Applications (IPTA), 2017 Seventh International Conference on Image Processing Theory. IEEE (Dec. 2017)

Viktor Kessler, Patrick Thiam, Mohammadreza Amirian, Friedhelm Schwenker: Pain recognition with camera photoplethysmography. Tools and Applications (IPTA), 2017 Seventh International Conference on Image Processing Theory. IEEE (Dec. 2017)

Daniel T. Larsson, Daniel Alexander Braun, Panagiotis Tsiotras: Hierarchical State Abstractions for Decision-Making Problems with Computational Constraints. arXiv preprint arXiv:1710.07990. (Nov. 2017)

Taye Girma Debelee, Mohammadreza Amirian, Achim Ibenthal, Günther Palm, Friedhelm Schwenker: Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction. International Conference on Information and Communication Technology for Develoment for Africa. Springer, Cham (Oct. 2017)

Zhen Peng, Tim Genewein, Felix Leibfried, Daniel Alexander Braun: An information-theoretic on-line update principle for perception-action coupling. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE (Oct. 2017)

Christian Jarvers, Heiko Neumann: Adaptive dynamic network architectures for companion systems. 2017 International Conference on Companion Technology (ICCT). IEEE (Oct. 2017)

Viktor Kessler, Patrick Thiam, Mohammadreza Amirian, Friedhelm Schwenker: Multimodal fusion including camera photoplethysmography for pain recognition. 2017 International Conference on Companion Technology (ICCT). IEEE (Oct. 2017)

Abdelmounaam Rezgui, Alberto Cano, Alfredo Vellido, Anton Uzunov, Athman Bouguettaya, Celine Vens, Daniel Peralta, Daniele Soria, Dayong Ye, Dong Yuan, Fang Dong, Friedhelm Schwenker, Grazziella Figueredo, Hai Dong, Hye-Young Paik, Jamie Twycross, Jaume Bacardit, Jian Yu, Jiangang Ma, Jianxin Li, Jose M. Luna, Julián Luengo, Jun Shen, Kinggo Zhou, Lei Li, Marcio Basgalupp, Mario José Diván, Mikel Galar Idoate, Min-Ling Zhang, Oscar Cordon, Rui Zhou: Reviewers for IEEE BigDataSE 2017. 2017 IEEE Trustcom/BigDataSE/ICESS. (Oct. 2017)

Yan Zhang, Georg Layher, Steffen Walter, Viktor Kessler, Heiko Neumann: Visual Confusion Recognition in Movement Patterns from Walking Path and Motion Energy. International Conference on Smart Homes and Health Telematics. Springer International Publishing (Sep. 2017)

Michael Zimoch, Rüdiger Pryss, Thomas Probst, Winfried Schlee, Georg Layher, Heiko Neumann, Manfred Reichert: Evaluating the Comprehensibility of Graphical Business Process Models–An Eye Tracking Study. (Sep. 2017)

Valentin Riemer, Julian Frommel, Georg Layher, Heiko Neumann, Claudia Schrader: Identifying Features of Bodily Expression As Indicators of Emotional Experience during Multimedia Learning. Frontiers in Psychology. Frontiers (Aug. 2017)

Daniel König, Michael Adam, Christian Jarvers, Georg Layher, Heiko Neumann, Michael Teutsch: Fully Convolutional Region Proposal Networks for Multispectral Person Detection. 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE (Aug. 2017)

Friedhelm Schwenker: Audio-Visual Recognition of Pain Intensity. MPRSS 2016: 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers. Springer (Aug. 2017)

Friedhelm Schwenker, Stefan Scherer: MPRSS 2016: 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers. Springer (Aug. 2017)

Daniel König, Heiko Neumann, Michael Teutsch, Michael Adam, Christian Jarvers, Georg Layher: Deep Learning for Person Detection in Multi-Spectral Videos. (Jul. 2017)

Mohammadreza Amirian, Markus Kächele, Günther Palm, Friedhelm Schwenker: Support Vector Regression of Sparse Dictionary-Based Features for View-Independent Action Unit Intensity Estimation. 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017). IEEE (Jun. 2017)

Daniel Alexander Braun: Sensorimotor learning and decision-making in complex environments. Kolloquium" Berner Gespräche zur Sportwissenschaft". (Mar. 2017)

Georg Layher, Tobias Brosch, Heiko Neumann: Real-time Biologically Inspired Action Recognition from Key Poses using a Neuromorphic Architecture. Frontiers in Neurorobotics. Frontiers (Mar. 2017)

A. T. Ruiz, K. Jung, M. Tschapka, Friedhelm Schwenker, Günther Palm: Automated Identification Method for Detection and Classification of Neotropical Bats. IET Digital Library (Feb. 2017)

Patrick Thiam, Sascha Meudt, Günther Palm, Friedhelm Schwenker: A Temporal Dependency Based Multi-modal Active Learning Approach for Audiovisual Event Detection. Neural Processing Letters. Springer US (Jan. 2017)

Andreas Wendemuth, Bogdan Vlasenko, Ingo Siegert, Ronald Böck, Friedhelm Schwenker, Günther Palm: Emotion Recognition from Speech. Companion Technology. Springer, Cham (Jan. 2017)

Ingo Siegert, Felix Schüssel, Miriam Schmidt, Stephan Reuter, Sascha Meudt, Georg Layher, Gerald Krell, Thilo Hörnle, Sebastian Handrich, Ayoub Al-Hamadi, Klaus Dietmayer, Heiko Neumann, Günther Palm, Friedhelm Schwenker, Andreas Wendemuth: Multi-modal Information Processing in Companion -Systems: A Ticket Purchase System. Companion Technology. Springer, Cham (Jan. 2017)

Robert Niese, Ayoub Al-Hamadi, Heiko Neumann: Automated Analysis of Head Pose, Facial Expression and Affect. Companion Technology. Springer, Cham (Jan. 2017)

Friedhelm Schwenker, Ronald Böck, Martin Schels, Sascha Meudt, Ingo Siegert, Michael Glodek, Markus Kächele, Miriam Schmidt-Wack, Patrick Thiam, Andreas Wendemuth, Gerald Krell: Multimodal Affect Recognition in the Context of Human-Computer Interaction for Companion -Systems. Companion Technology. Springer, Cham (Jan. 2017)

Patrick Thiam, Viktor Kessler, Friedhelm Schwenker: Hierarchical Combination of Video Features for Personalised Pain Level Recognition. ESANN 2017. (Jan. 2017)

Georg Layher, Michael Glodek, Heiko Neumann: Analysis of Articulated Motion for Social Signal Processing. Companion Technology. Springer, Cham (Jan. 2017)

Anwar Saeed, Ayoub Al-Hamadi, Heiko Neumann: Facial point localization via neural networks in a cascade regression framework. Multimedia Tools and Applications. Springer US (Jan. 2017)

Georg Layher, Tobias Brosch, Heiko Neumann: Real-Time Biologically Inspired Action Recognition from Key Poses Using a Neuromorphic Architecture. Frontiers in Neurobotics. (Jan. 2017)

Daniel Kindsvater, Sascha Meudt, Friedhelm Schwenker: Fusion Architectures for Multimodal Cognitive Load Recognition. IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Springer International Publishing (2016)

Dennis Held, Sascha Meudt, Friedhelm Schwenker: Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes. IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Springer International Publishing (2016)

Patrick Thiam, Viktor Kessler, Steffen Walter, Günther Palm, Friedhelm Schwenker: Audio-Visual Recognition of Pain Intensity. IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Springer International Publishing (2016)

Maria Velana, Sascha Gruss, Georg Layher, Patrick Thiam, Yan Zhang, Daniel Schork, Viktor Kessler, Sascha Meudt, Heiko Neumann, Jonghwa Kim, Friedhelm Schwenker, Elisabeth André, Harald Christhelm Traue, Steffen Walter: The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System. IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Springer International Publishing (2016)

Markus Kächele, Martin Schels, Friedhelm Schwenker: The Influence of Annotation, Corpus Design, and Evaluation on the Outcome of Automatic Classification of Human Emotions. Front. ICT 3: 27. doi: 10.3389/fict. (Dec. 2016)

Heinke Hihn, Sascha Meudt, Friedhelm Schwenker: Inferring mental overload based on postural behavior and gestures. Proceedings of the 2nd workshop on emotion representations and modelling for companion systems. (Dec. 2016)

Heinke Hihn, Sascha Meudt, Friedhelm Schwenker: Inferring mental overload based on postural behavior and gestures. Proceedings of the 2nd workshop on Emotion Representations and Modelling for Companion Systems. ACM (Dec. 2016)

R. W. Fleming, S. Kim, B. Masia, S. Agustin, R. W. Fleming, O. Sorkine, D. Gutierrez, C. Wallraven, R. Fleming, D. W. Cunningham, J. Rigau, M. Feixas, M. Sbert, R. W. Fleming, M. Langer, U. Weidenbacher, P. Bayerl, Heiko Neumann, R. Fleming: APGVtitle = apgv'06#39;06. PLoS One. ACM Press (Dec. 2016)

Mohammadreza Amirian, Markus Kächele, Patrick Thiam, Viktor Kessler, Friedhelm Schwenker: Continuous Multimodal Human Affect Estimation using Echo State Networks. Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge. ACM (Nov. 2016)

N. V. Kartheek Medathati, Heiko Neumann, Guillaume S. Masson, Pierre Kornprobst: Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision. Computer Vision and Image Understanding. Academic Press (Oct. 2016)

Mehmet Erdal, Markus Kächele, Friedhelm Schwenker: Emotion Recognition in Speech with Deep Learning Architectures. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer International Publishing (Oct. 2016)

Mohammadreza Amirian, Markus Kächele, Friedhelm Schwenker: Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer International Publishing (Oct. 2016)

Viktor Kessler, Markus Kächele, Sascha Meudt, Friedhelm Schwenker, Günther Palm: Machine Learning Driven Heart Rate Detection with Camera Photoplethysmography in Time Domain. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer International Publishing (Oct. 2016)

Patrick Thiam, Sascha Meudt, Friedhelm Schwenker, Günther Palm: Active Learning for Speech Event Detection in HCI. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer International Publishing (Oct. 2016)

Olman Gomez, Heiko Neumann: Biologically Inspired Model for Inference of 3D Shape from Texture. PloS one. Public Library of Science (Oct. 2016)

Jordi Grau-Moya, Felix Leibfried, Tim Genewein, Daniel Alexander Braun: Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer International Publishing (Oct. 2016)

Friedhelm Schwenker, Hazem M. Abbas, Neamat El Gayar, Edmondo Trentin: Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28–30, 2016, Proceedings. Springer (Oct. 2016)

Markus Schneider, Wolfgang Ertel, Günther Palm: Constant Time EXPected Similarity Estimation for Large-Scale Anomaly Detection. ECAI 2016: 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands-Including Prestigious Applications of Artificial Intelligence (PAIS 2016). IOS Press (Sep. 2016)

Michael Glodek: Learning in layered multimodal classifier architectures for cognitive technical systems. (Aug. 2016)

Daniel Alexander Braun: Information-processing principles for sensorimotor learning and decision-making. CogNovo. (Jul. 2016)

Tim Genewein, Daniel Alexander Braun: Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations. Biological cybernetics. Springer Berlin Heidelberg (Jul. 2016)

Markus Kächele, Martin Schels, Sascha Meudt, Günther Palm, Friedhelm Schwenker: Revisiting the EmotiW challenge: how wild is it really?. Journal on Multimodal User Interfaces. Springer International Publishing (Jul. 2016)

Georg Layher, Tobias Brosch, Heiko Neumann: Towards a Mesoscopic-level canonical circuit definition for visual cortical processing. proceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS) on 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) (Jun. 2016)

Jordi Grau-Moya, Pedro A. Ortega, Daniel Alexander Braun: Decision-Making under Ambiguity Is Modulated by Visual Framing, but Not by Motor vs. Non-Motor Context. Experiments and an Information-Theoretic Ambiguity Model. PloS one. Public Library of Science (May. 2016)

Markus Kächele, Patrick Thiam, Mohammadreza Amirian, Friedhelm Schwenker, Günther Palm: Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels. IEEE Journal of Selected Topics in Signal Processing. IEEE (Apr. 2016)

Yan Zhang, Sebastian J. Wirkert, Justin Iszatt, Hannes Kenngott, Martin Wagner, Benjamin Mayer, Christian Stock, Neil T. Clancy, Daniel S. Elson, Lena Maier-Hein: Tissue classification for laparoscopic image understanding based on multispectral texture analysis. SPIE Medical Imaging. International Society for Optics and Photonics (Apr. 2016)

Ingo Siegert, Stephan Reuter, Felix Schüssel, Georg Layher, Thilo Hörnle, Sascha Meudt, Andreas Wendemuth: Multimodal Information Processing: The Ticket Purchase–a Demonstration Scenario of the SFB/TRR-62. Elektronische Sprachsignalverarbeitung. (Apr. 2016)

Jan Paul, Stefan Wundrak, Peter Bernhardt, Wolfgang Rottbauer, Heiko Neumann, Volker Rasche: Self‐gated tissue phase mapping using golden angle radial sparse SENSE. Magnetic resonance in medicine. (Mar. 2016)

J. Paul, S. Wundrak, P. Bernhardt, W. Rottbauer, Heiko Neumann, V. Rasche: 5 Combination of Respiratory Self-Gating and Tissue Phase Mapping. Respiratory and Cardiac Self-Gated Radial MRI. Ulm University (Feb. 2016)

Robert Retz, Friedhelm SchwenkerRobert Retz, Friedhelm Schwenker: Active Multi-Instance Multi-Label Learning. Analysis of Large and Complex Data. Springer International Publishing (Jan. 2016)

Christian Jarvers, Tobias Brosch, Andre Brechmann, Marie L. Woldeit, Andreas L. Schulz, Frank W. Ohl, Marcel Lommerzheim, Heiko Neumann: Reversal Learning in Humans and Gerbils: Dynamic Control Network Facilitates Learning. Frontiers in Neuroscience. Frontiers Media SA (Jan. 2016)

Felix Leibfried, Daniel Alexander Braun: Bounded Rational Decision-Making in Feedforward Neural Networks. Conference on Uncertainty in Artificial Intelligence. (Jan. 2016)

Günther Palm: Neural Information Processing in Cognition: We Start to Understand the Orchestra, but Where is the Conductor?. Frontiers in computational neuroscience. Frontiers Media SA (Jan. 2016)

Friedhelm Schwenker, Hm Abbas, N. El Gayar, Edmondo Trentin: Proceedings of the 7th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition. (Jan. 2016)

Thomas Bottesch, Thomas Bühler, Markus Kächele: Speeding up k-means by approximating Euclidean distances via block vectors. Proceedings of The 33rd International Conference on Machine Learning. (Jan. 2016)

Heinke Hihn, Sascha Meudt, Friedhelm Schwenker: On Gestures and Postural Behavior as a Modality in Ensemble Methods. Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28–30, 2016, Proceedings 7. Springer International Publishing (Jan. 2016)

Sascha Meudt, Miriam Schmidt-Wack, Frank Honold, Felix Schüssel, Michael Weber, Friedhelm Schwenker, Günther Palm: Going Further in Affective Computing: How Emotion Recognition Can Improve Adaptive User Interaction. Toward Robotic Socially Believable Behaving Systems-Volume I. Springer International Publishing (Jan. 2016)

Friedhelm Schwenker, Hazem M. Abbas, Neamat El Gayar, Edmondo Trentin: Artificial neural networks in pattern recognition: 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28-30, 2016, Proceedings. Lecture notes in artificial intelligence. Cham, Switzerland: Springer (Jan. 2016)

Thomas Geier, Michael Glodek, Georg Layher, Heiko Neumann, Susanne Biundo, Günther Palm: On Stacking Probabilistic Temporal Models with Bidirectional Information Flow. Proceedings of the Eighth International Conference on Probabilistic Graphical Models. (Jan. 2016)

Tobias Brosch: Kognitiver sequentieller Parallelismus: Von kanonischen neuronalen Schaltkreisen und dem Training rekurrenter neuronaler Netze für perzeptuelle Entscheidungsfindungen. Lecture Notes in Informatics (LNI) - Dissertations. Gesellschaft für Informatik (Jan. 2016)

F. M. Lima, S. Walter, Sonja Schach, Harald Christhelm Traue, A. O. Andrade: Pain-related heart rate variability responses in the context of experimental pain stimulation. IX Simpsio de Engenharia Biomdica. (Jan. 2016)

Christian Jarvers, Tobias Brosch, A. Brechmann, M. L. Woldeit, A. L. Schulz, F. W. Ohl, M. Lommerzheim, Heiko Neumann: Reversal Learning in Humans and Gerbils: Dynamic Control Network Facilitates Learning. Frontiers in Neuroscience. (Jan. 2016)

A. J. Yepes, J. Tang, S. Saxena, Tobias Brosch, A. Amir: Weighted Population Code for Low Power Neuromorphic Image Classification. IJCNN. (Jan. 2016)

Siegfried Hochdorfer, Heiko Neumann, Christian Schlegel: Landmark Rating and Selection for SLAM in Dynamic Environments. Intelligent Autonomous Systems 13. Springer International Publishing (Jan. 2016)

Markus Kächele, Mohammadreza Amirian, Patrick Thiam, Philipp Werner, Steffen Walter, Günther Palm, Friedhelm Schwenker: Adaptive confidence learning for the personalization of pain intensity estimation systems. Evolving Systems. Springer Berlin Heidelberg (Jan. 2016)

Ingo Siegert, Stephan Reuter, Felix Schüssel, Georg Layher, Thilo Hörnle, Sascha Meudt, Andreas Wendemuth: Multimodal Information Processing: The Ticket Purchase - a Demonstration Scenario of the SFB/TRR-62. Elektronische Sprachsignalverarbeitung 2016. Tagungsband der 27. Konferenz.. TUDpress (Jan. 2016)

Pedro A. Ortega, Daniel Alexander Braun, Justin Dyer, Kee-Eung Kim, Naftali Tishby: Information-Theoretic Bounded Rationality. arXiv preprint arXiv:1512.06789. (2015)

Thomas Bottesch, Günther Palm: Improving Classification Performance by Merging Distinct Feature Sets of Similar Quality Generated by Multiple Initializations of mRMR. 2015 IEEE Symposium Series on Computational Intelligence. IEEE (2015)

Patrick Thiam, Markus Kächele, Friedhelm Schwenker, Günther Palm: Ensembles of Support Vector Data Description for Active Learning Based Annotation of Affective Corpora. Computational Intelligence, 2015 IEEE Symposium Series on. IEEE (2015)

Markus Kächele, Martin Schels, Patrick Thiam, Friedhelm Schwenker: Fusion Mappings for Multimodal Affect Recognition. Computational Intelligence, 2015 IEEE Symposium Series on. IEEE (2015)

Tobias Brosch, Heiko Neumann: Event-Based Optical Flow on Neuromorphic Hardware. Proceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) (2015)

Stefan Faußer, Friedhelm Schwenker: Selective neural network ensembles in reinforcement learning: Taking the advantage of many agents. Neurocomputing. Elsevier (2015)

Markus Schneider, Wolfgang Ertel, Günther Palm: Constant Time EXPected Similarity Estimation using Stochastic Optimization. arXiv preprint arXiv:1511.05371. (Dec. 2015)

Edmondo Trentin, Stefan Scherer, Friedhelm Schwenker: Emotion recognition from speech signals via a probabilistic echo-state network. Pattern Recognition Letters. North-Holland (Dec. 2015)

Tim Genewein, Felix Leibfried, Jordi Grau-Moya, Felix Leibfried, Daniel Alexander Braun: Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle. Frontiers in Robotics and AI. Frontiers (Dec. 2015)

Luma Issa Abdul-Kreem, Heiko Neumann: Neural Mechanisms of Cortical Motion Computation Based on a Neuromorphic Sensory System. PloS one. Public Library of Science (Dec. 2015)

Jordi Grau-Moya, Daniel Alexander Braun: Adaptive information-theoretic bounded rational decision-making with parametric priors. NIPS 2015 Workshop on Bounded Optimality and Rational Metareasoning. (Dec. 2015)

Markus Kächele, Patrick Thiam, Günther Palm, Friedhelm Schwenker, Martin Schels: Ensemble methods for continuous affect recognition: Multi-modality, temporality, and challenges. Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge. ACM (Nov. 2015)

Tobias Brosch, Heiko Neumann, Pieter R. Roelfsema: Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks. PLOS Computational Biology. Public Library of Science (Nov. 2015)

Patrick Thiam, Markus Kächele, Friedhelm Schwenker, Günther Palm: Ensemble Methods and Active Learning in HCI. Workshop New Challenges in Neural Computation 2015. (Nov. 2015)

Pedro A. Ortega, Daniel Alexander Braun: What is epistemic value in free energy models of learning and acting? A bounded rationality perspective. Cognitive neuroscience. Routledge (Nov. 2015)

Daniel Alexander Braun: Model uncertainty in sensorimotor learning and decision-making. IROS 2015 2nd Workshop on The Role of Human Sensorimotor Control in Surgical Robotics. (Nov. 2015)

Viktor Kessler, Martin Schels, Markus Kächele, Günther Palm, Friedhelm Schwenker: On the effects of continuous annotation tools and the human factor on the annotation outcome.. ISCT. (Oct. 2015)

Sascha Meudt, Friedhelm Schwenker: ATLAS-Machine learning based annnotation of multimodal data recorded in human-computer interaction scenarios.. ISCT. (Oct. 2015)

Markus Schneider, Wolfgang Ertel, Günther Palm: Kernel Feature Maps from Arbitrary Distance Metrics. Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz). Springer International Publishing (Oct. 2015)

Richard Cubek, Wolfgang Ertel, Günther Palm: A Critical Review on the Symbol Grounding Problem as an Issue of Autonomous Agents. Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz). Springer International Publishing (Oct. 2015)

Markus Thom, Matthias Rapp, Günther Palm: Efficient Dictionary Learning with Sparseness-Enforcing Projections. International Journal of Computer Vision. Springer US (Oct. 2015)

Markus Kächele, Patrick Thiam, Mohammadreza Amirian, P. Werner, S. Walter, Friedhelm Schwenker, Günther Palm: Engineering Applications of Neural Networks. Multimodal data fusion for person-independent, continuous estimation of pain Intensity. Proceedings of the Engineering Applications of Neural Networks, Rhodes, Greece. (Oct. 2015)

Felix Leibfried, Jordi Grau-Moya, Daniel Alexander Braun: Signaling equilibria in sensorimotor interactions. Cognition. Elsevier (Sep. 2015)

Tim Genewein, Eduard Hez, Zeynab Razzaghpanah, Daniel Alexander Braun: Structure learning in Bayesian sensorimotor integration. PLoS Comput Biol. Public Library of Science (Sep. 2015)

Zhen Peng, Daniel Alexander Braun: Developing neural networks with neurons competing for survival. Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) 2015. IEEE (Sep. 2015)

Michael Glodek, Frank Honold, Thomas Geier, Gerald Krell, Florian Nothdurft, Stephan Reuter, Felix Schüssel, Thilo Hörnle, Klaus Dietmayer, Wolfgang Minker, Susanne Biundo, Michael Weber, Günther Palm, Friedhelm Schwenker: Fusion paradigms in cognitive technical systems for human–computer interaction. Neurocomputing. Elsevier (Sep. 2015)

Melanie Grieb, Andre Burkovski, J. Eric Sträng, Johann M. Kraus, Alexander Groß, Günther Palm, Michael Kühl, Hans Kestler: Predicting variabilities in cardiac gene expression with a boolean network incorporating uncertainty. PloS one. Public Library of Science (Aug. 2015)

Felix Leibfried, Daniel Alexander Braun: A reward-maximizing spiking neuron as a bounded rational decision maker. Neural computation. MIT Press One Rogers St., Cambridge, MA 02142-1209 USA journals-info@ mit. edu (Aug. 2015)

Georg Layher, Stephan Tschechne, Robert Niese, Ayoub Al-Hamadi, Heiko Neumann: Towards the Separation of Rigid and Non-rigid Motions for Facial Expression Analysis. Intelligent Environments (IE), 2015 International Conference on. IEEE (Aug. 2015)

Stefan Faußer: Large state spaces and large data: Utilizing neural network ensembles in reinforcement learning and kernel methods for clustering. (Aug. 2015)

Markus Schneider, Wolfgang Ertel, Günther Palm: Expected similarity estimation for large scale anomaly detection. Neural Networks (IJCNN), 2015 International Joint Conference on. IEEE (Aug. 2015)

Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz: Embodied learning of a generative neural model for biological motion perception and inference. Frontiers in computational neuroscience. Frontiers (Aug. 2015)

Tobias Brosch, Stephan Tschechne, Heiko Neumann: Visual Processing in Cortical Architecture from Neuroscience to Neuromorphic Computing. International Workshop on Brain-Inspired Computing. Springer International Publishing (Aug. 2015)

Markus Kächele, Philipp Werner, Ayoub Al-Hamadi, Günther Palm, Steffen Walter, Friedhelm Schwenker: Bio-Visual Fusion for Person-Independent Recognition of Pain Intensity. International Workshop on Multiple Classifier Systems. Springer International Publishing (Jul. 2015)

Markus Kächele, Philipp Werner, Ayoub Al-Hamadi, Günther Palm, Steffen Walter, Friedhelm Schwenker: Bio-visual fusion for person-independent recognition of pain intensity. International Workshop on Multiple Classifier Systems. Springer International Publishing (Jul. 2015)

Friedhelm Schwenker, Fabio Roli, Josef Kittler: Multiple Classifier Systems: 12th International Workshop, MCS 2015, Günzburg, Germany, June 29-July 1, 2015, Proceedings. Springer (Jul. 2015)

E. Bavafaye Haghighi, Günther Palm, Mohammad Rahmati, Mohammad Javad Yazdanpanah: A new class of multi-stable neural networks: Stability analysis and learning process. Neural Networks. Pergamon (Jun. 2015)

Richard Cubek, Wolfgang Ertel, Günther Palm: High-level learning from demonstration with conceptual spaces and subspace clustering. Robotics and Automation (ICRA), 2015 IEEE International Conference on. IEEE (Jun. 2015)

Steffen Walter, Sascha Gruss, Harald Christhelm Traue, Philipp Werner, Ayoub Al-Hamadi, Markus Kächele, Friedhelm Schwenker, Adriano Andrade, Gustavo Moreira: Data fusion for automated pain recognition. Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2015 9th International Conference on. IEEE (Jun. 2015)

Tobias Brosch, Stephan Tschechne, Heiko Neumann: On Event-Based Optical Flow Detection. Frontiers in Neuroscience. Frontiers (May. 2015)

Luma Issa Abdul-Kreem, Heiko Neumann: Bio-inspired Model for Motion Estimation using an Address-event Representation. International Conference on Computer Vision Theory and Applications. SCITEPRESS (Apr. 2015)

Luma Issa Abdul-Kreem, Heiko Neumann: Estimating Visual Motion Using an Event-Based Artificial Retina. International Joint Conference on Computer Vision, Imaging and Computer Graphics. Springer International Publishing (Apr. 2015)

N. V. Kartheek Medathati, Heiko Neumann, Guillaume S. Masson, Pierre Kornprobst: Bio-Inspired Computer Vision: Setting the Basis for a New Departure. Technical Report 8698, INRIA (Apr. 2015)

Michael Glodek, Patrick Thiam, Stephan Tschechne, Günther Palm, Friedhelm Schwenker: On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction. Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction: Second International Workshop, MA3HMI 2014, Held in Conjunction with INTERSPEECH 2014, Singapore, Singapore, September 14, 2014, Revised Selected Papers. Springer (Mar. 2015)

Jan Paul, Raphael Beck, Dominik Buckert, Peter Bernhardt, Wolfgang Rottbauer, Heiko Neumann, Volker Rasche: Left ventricular motion quantification parameters from tissue phase mapped MRI: influence of gender. Journal of Cardiovascular Magnetic Resonance. BioMed Central (Mar. 2015)

Tobias Brosch, Stephan Tschechne, Roman Sailer, Nora von Egloffstein, Luma Issa Abdul-Kreem, Heiko Neumann: On event-based motion detection and integration. 8th International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS). (Mar. 2015)

Stefan Faußer, Friedhelm Schwenker: Neural Network Ensembles in Reinforcement Learning. Neural Processing Letters. Springer US (Mar. 2015)

Antonio Rodríguez-Sánchez, Heiko Neumann, Justus Piater: Beyond Simple and Complex Neurons: Towards Intermediate-level Representations of Shapes and Objects. KI-Künstliche Intelligenz. Springer Berlin Heidelberg (Mar. 2015)

Günther Palm, Friedhelm Schwenker, Heiko Neumann: uulmMAD–A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances. Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction: Third IAPR TC3 Workshop, MPRSS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers. Springer (Feb. 2015)

Michael Glodek, Georg Layher, Felix Heilemann, Florian Gawrilowicz, Günther Palm, Friedhelm Schwenker, Heiko Neumann: uulmMAD – A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances. IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Springer (Feb. 2015)

Michael Glodek, Georg Layher, Felix Heilemann, Florian Gawrilowicz, Günther Palm, Friedhelm Schwenker, Heiko Neumann: uulmMAD – A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances. Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction. Springer International Publishing (Feb. 2015)

Jan Paul, Evica Divkovic, Stefan Wundrak, Peter Bernhardt, Wolfgang Rottbauer, Heiko Neumann, Volker Rasche: High‐resolution respiratory self‐gated golden angle cardiac MRI: comparison of self‐gating methods in combination with k‐t SPARSE SENSE. Magnetic resonance in medicine. (Feb. 2015)

J. Grau-Moya, M. Krueger, Daniel Alexander Braun: Non-equilibrium behaviour of information-processing systems with computational constraints. Workshop on Recent Developments In Non-Equilibrium Physics" Luxembourg out of Equilibrium". (Feb. 2015)

Markus Kächele, Patrick Thiam, Mohammadreza Amirian, P. Werner, S. Walter, Friedhelm Schwenker, Günther Palm: Engineering Applications of Neural Networks. Engineering Applications of Neural Networks, EANN. (Jan. 2015)

Tobias Brosch: Cognitive Sequential Parallelism: From Canonical Neural Circuits to Training Recurrent Neural Networks in Perceptual Decision-Making. (Jan. 2015)

Marco Bongini, Friedhelm Schwenker, Edmondo Trentin: On Semi-Supervised Clustering. Partitional Clustering Algorithms. Springer International Publishing (Jan. 2015)

Friedhelm Schwenker: Learning Algorithms in Artificial Neural Networks. (Jan. 2015)

Jan Paul, Stefan Wundrak, Heiko Neumann, Volker Rasche: Sub-Milimeter Motion-Corrected Tissue Phase Mapping for Transmural Analysis of LV Motion. Proceedings of the 23th Annual Meeting of ISMRM. Toronto. (Jan. 2015)

Georg Layher, Tobias Brosch, Heiko Neumann: Towards a Mesoscopic-Level Canonical Circuit Definition for Visual Cortical Processing. BICT. (Jan. 2015)

Friedhelm Schwenker, Fabio Roli, Josef Kittler: Multiple Classifier Systems. Springer International Publishing: (Jan. 2015)

Markus Kächele, Stefanie Rukavina, Günther Palm, Friedhelm Schwenker, Martin Schels: Paradigms for the Construction and Annotation of Emotional Corpora for Real-world Human-Computer-Interaction.. ICPRAM (1). (Jan. 2015)

Friedhelm Schwenker, Stefan Scherer, Louis-Philippe Morency: Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction. Lecture Notes in Computer Science. (Jan. 2015)

Friedhelm Schwenker, Stefan Scherer, Louis-Philippe Morency: Preface of pattern recognition in human computer interaction. Pattern Recognition Letters. (Jan. 2015)

Jan Paul, Peter Bernhardt, Heiko Neumann, Volker Rasche: Radial Tissue Phase Mapping is more Robust against In-flow Effects than Cartesian Tissue Phase Mapping. Proceedings of the International Society of Magnetic Resonance in Medicine, Toronto, Ontario, Canada. (Jan. 2015)

Markus Kächele, Patrick Thiam, Mohammadreza Amirian, Philipp Werner, Steffen Walter, Friedhelm Schwenker, Günther Palm: Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity. Engineering Applications of Neural Networks. Springer International Publishing (Jan. 2015)

M. Kachele, Günther Palm: G., & F. Schwenker. SMO Lattices for the Parallel Training of Support Vector Machines. European Symposium on Artificial Neural Network. (Jan. 2015)

Zhen Peng, Daniel Alexander Braun: Entropic Movement Complexity Reflects Subjective Creativity Rankings of Visualized Hand Motion Trajectories. Frontiers in psychology. Frontiers Media SA (Jan. 2015)

Tim Genewein, Daniel Alexander Braun: An information-theoretic optimality principle for the formation of abstractions. (2014)

Georg Layher, Fabian Schrodt, Martin V. Butz, Heiko Neumann: Adaptive learning in a compartmental model of visual cortex—how feedback enables stable category learning and refinement. Frontiers in Psychology. Frontiers Media SA (2014)

Stephan Tschechne, Tobias Brosch, Roman Sailer, Nora von Egloffstein, Luma Issa Abdul-Kreem, Heiko Neumann: On event-based motion detection and integration. Proceedings of the 8th International Conference on Bioinspired Information and Communications Technologies. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) (2014)

Daniel Alexander Braun: Free Energy and sensorimotor information processing. Freie Universität Berlin: Center for Cognitive Neuroscience Seminar Series. (Dec. 2014)

Patrick Thiam, Sascha Meudt, Markus Kächele, Günther Palm, Friedhelm Schwenker: Detection of emotional events utilizing support vector methods in an active learning HCI scenario. Proceedings of the 2014 workshop on Emotion Representation and Modelling in Human-Computer-Interaction-Systems. ACM (Dec. 2014)

Sascha Meudt, Friedhelm Schwenker: Enhanced autocorrelation in real world emotion recognition. Proceedings of the 16th International Conference on Multimodal Interaction. ACM (Dec. 2014)

Markus Kächele, Martin Schels, Friedhelm Schwenker: Inferring depression and affect from application dependent meta knowledge. Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge. ACM (Dec. 2014)

Tobias Brosch, Heiko Neumann: Computing with a Canonical Neural Circuits Model with Pool Normalization and Modulating Feedback. Neural Computation. MIT Press One Rogers St., Cambridge, MA 02142-1209 USA journals-info@ mit. edu (Dec. 2014)

Patrick Thiam, Viktor Kessler, Friedhelm Schwenker: A Reinforcement Learning Algorithm to Train a Tetris Playing Agent. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer International Publishing (Nov. 2014)

Stephan Tschechne, Roman Sailer, Heiko Neumann: Bio-Inspired Optic Flow from Event-Based Neuromorphic Sensor Input.. ANNPR. (Nov. 2014)

Markus Kächele, Patrick Thiam, Günther Palm, Friedhelm Schwenker: Majority-Class Aware Support Vector Domain Oversampling for Imbalanced Classification Problems. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer International Publishing (Nov. 2014)

Friedhelm Schwenker, Markus Frey, Michael Glodek, Markus Kächele, Sascha Meudt, Martin Schels, Miriam Schmidt: A New Multi-class Fuzzy Support Vector Machine Algorithm. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer International Publishing (Nov. 2014)

Stefan Glüge, Ronald Böck, Günther Palm, Andreas Wendemuth: Learning long-term dependencies in segmented-memory recurrent neural networks with backpropagation of error. Neurocomputing. Elsevier (Nov. 2014)

Günther Palm, Andreas Knoblauch, Florian Hauser, Almut Schüz: Cell assemblies in the cerebral cortex. Biological cybernetics. Springer Berlin Heidelberg (Nov. 2014)

Neamat El Gayar, Friedhelm Schwenker, Cheng Suen: Artificial Neural Networks in Pattern Recognition: 6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014, Proceedings. Springer (Oct. 2014)

Markus Kächele, Martin Schels, Sascha Meudt, Viktor Kessler, Michael Glodek, Patrick Thiam, Stephan Tschechne, Günther Palm, Friedhelm Schwenker: On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction. International Workshop on Multimodal Analyses Enabling Artificial Agents in Human-Machine Interaction. Springer International Publishing (Oct. 2014)

Olman Gomez, Heiko Neumann: Inferring 3D shape from texture: a biologically inspired model architecture. COGNITIVE PROCESSING. SPRINGER HEIDELBERG (Oct. 2014)

Michael Glodek, Martin Schels, Friedhelm Schwenker, Günther Palm: Combination of sequential class distributions from multiple channels using Markov fusion networks. Journal on Multimodal User Interfaces. Springer Berlin Heidelberg (Oct. 2014)

Daniel Alexander Braun: Signaling games in sensorimotor interactions. COGNITIVE PROCESSING. SPRINGER HEIDELBERG (Oct. 2014)

Felix Leibfried, Jordi Grau-Moya, Daniel Alexander Braun: Sensorimotor interactions as signaling games. Cognitive Processing. (Oct. 2014)

Daniel Alexander Braun, Jordi Grau-Moya, Pedro A. Ortega: Ellsberg's paradox in sensorimotor learning. Theoretical and Empirical Research in Decision-Making (DMB 2014). (Oct. 2014)

Markus Kächele, Dimitrij Zharkov, Sascha Meudt, Friedhelm Schwenker: Prosodic, Spectral and Voice Quality Feature Selection Using a Long-Term Stopping Criterion for Audio-Based Emotion Recognition. 2014 22nd International Conference on Pattern Recognition (ICPR). IEEE (Sep. 2014)

Markus Kächele, Günther Palm, Friedhelm Schwenker: Monte Carlo Based Importance Estimation of Localized Feature Descriptors for the Recognition of Facial Expressions. IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Springer International Publishing (Sep. 2014)

Markus Kächele, Sascha Meudt, Andrej Schwarz, Friedhelm Schwenker: Audio-Visual User Identification in HCI Scenarios. IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Springer International Publishing (Sep. 2014)

Markus Kächele, Friedhelm Schwenker: Cascaded fusion of dynamic, spatial, and textural feature sets for person-independent facial emotion recognition. Pattern Recognition (ICPR), 2014 22nd International Conference on. IEEE (Sep. 2014)

Michael Glodek, Georg Layher, Felix Heilemann, Florian Gawrilowicz, Günther Palm, Friedhelm Schwenker, Heiko Neumann: uulmmad–a human action recognition dataset for ground-truth evaluation and investigation of view invariances. IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Springer International Publishing (Sep. 2014)

Markus Kächele, Friedhelm Schwenker: Cascaded Fusion of Dynamic, Spatial, and Textural Feature Sets for Person-Independent Facial Emotion Recognition. 2014 22nd International Conference on Pattern Recognition (ICPR). IEEE (Sep. 2014)

Daniel Alexander Braun, Pedro A. Ortega: Information-Theoretic Bounded Rationality and ε-Optimality. Entropy. Multidisciplinary Digital Publishing Institute (Sep. 2014)

Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Allessandro EP Villa: Artificial Neural Networks and Machine Learning--ICANN 2014: 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings. Springer (Sep. 2014)

Stephan Tschechne, Heiko Neumann: Hierarchical representation of shapes in visual cortex—from localized features to figural shape segregation. Frontiers in computational neuroscience. Frontiers (Sep. 2014)

Tobias Brosch, Pieter Roelfsema, Heiko Neumann: Learning of New Perceptual Groupings-A Biologically Plausible Recurrent Neural Network Model that Learns Contour Integration. Journal of Vision. The Association for Research in Vision and Ophthalmology (Sep. 2014)

Stephan Tschechne, Heiko Neumann: Unified representation of motion and motion streak patterns in a model of cortical form-motion interaction. Journal of Vision. The Association for Research in Vision and Ophthalmology (Sep. 2014)

Michael Glodek, Thomas Geier, Susanne Biundo, Günther Palm: A layered architecture for probabilistic complex pattern recognition to detect user preferences. Biologically Inspired Cognitive Architectures. Elsevier (Aug. 2014)

Mohamed Oubbati, Christian Fischer, Günther Palm: Intrinsically motivated decision making for situated, goal-driven agents. International Conference on Simulation of Adaptive Behavior. Springer International Publishing (Aug. 2014)

Michael Glodek, Markus Kächele, Friedhelm Schwenker: Inequality-constraint Multi-class Fuzzy-in Fuzzy-out Support vector machines. Ulmer Informatik-Berichte. (Aug. 2014)

Markus Kächele, Friedhelm Schwenker: Importance based hierarchical Lagrange multiplier filtering for the parallel training of Support Vector Machines. Ulmer Informatik-Berichte. (Aug. 2014)

Tobias Brosch, Heiko Neumann: Interaction of feedforward and feedback streams in visual cortex in a firing-rate model of columnar computations. Neural Networks. Pergamon (Jul. 2014)

Tim Genewein, Daniel Alexander Braun: Occamtitle = occam's razor in sensorimotor learning#39;s Razor in sensorimotor learning. Proceedings of the Royal Society of London B: Biological Sciences. The Royal Society (Jun. 2014)

Günther Palm: University Hospital Ulm, Ulm, Germany. Computational Intelligence in Data Mining. Springer (Jun. 2014)

Zhen Peng, Tim Genewein, Daniel Alexander Braun: Assessing randomness and complexity in human motion trajectories through analysis of symbolic sequences. Frontiers in human neuroscience. Frontiers (Apr. 2014)

Mohamed Oubbati, Bahram Kord, Petia Koprinkova-Hristova, Günther Palm: Learning of embodied interaction dynamics with recurrent neural networks: some exploratory experiments. Journal of neural engineering. IOP Publishing (Apr. 2014)

Martin Schels, Markus Kächele, Michael Glodek, David Hrabal, Steffen Walter, Friedhelm Schwenker: Using unlabeled data to improve classification of emotional states in human computer interaction. Journal on Multimodal User Interfaces. Springer Berlin Heidelberg (Apr. 2014)

Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz: Modeling perspective-taking upon observation of 3D biological motion. Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2014 Joint IEEE International Conferences on. IEEE (Mar. 2014)

Friedhelm Schwenker, Edmondo Trentin: Pattern classification and clustering: A review of partially supervised learning approaches. Pattern Recognition Letters. North-Holland (Mar. 2014)

Miriam Schmidt, Günther Palm, Friedhelm Schwenker: Spectral graph features for the classification of graphs and graph sequences. Computational Statistics. Springer Berlin Heidelberg (Mar. 2014)

Friedhelm Schwenker, Edmondo Trentin: Editorial: Partially supervised learning for pattern recognition. Pattern Recognition Letters. Elsevier Science Inc. (Mar. 2014)

Stefan Faußer, Friedhelm Schwenker: Semi-supervised clustering of large data sets with kernel methods. Pattern Recognition Letters. North-Holland (Mar. 2014)

Elham Bavafaye Haghighi, Mohammad Rahmati, Saeed Shiry Ghidary, Günther Palm: Mapping to optimal regions; A new method for multi-class classification task to reduce complexity. AI Communications. IOS Press (Feb. 2014)

Georg Layher, Martin A. Giese, Heiko Neumann: Learning representations of animated motion sequences—A neural model. Topics in cognitive science. (Feb. 2014)

Elham Bavafaye Haghighi, Mohamad Rahmati, Günther Palm, Saeed Shiry Ghidary: Learning Inductive Riemannian Manifold in Abstract Form by Modeling Embedded Dynamical System. Informatica. Vilnius University Institute of Mathematics and Informatics (Feb. 2014)

Markus Kächele, Michael Glodek, Dimitrij Zharkov, Sascha Meudt, Friedhelm Schwenker: Fusion of audio-visual features using hierarchical classifier systems for the recognition of affective states and the state of depression. International Conference on Pattern Recognition Applications and Methods (ICPRAM). SciTePress (Jan. 2014)

Stephan Tschechne, Tobias Brosch, R. Sailer, H. von Egloffstein, Luma Issa Abdul-Kreem, Heiko Neumann: On Event-Based Motion Detection and Integration. 8th International Conference on Bio-inspired Information and Communications Technologies. ACM (Jan. 2014)

Pedro A. Ortega, Daniel Alexander Braun, Naftali Tishby: Monte Carlo Methods for Exact title = monte carlo methods for exact & efficient solution of the generalized optimality equations Efficient Solution of the Generalized Optimality Equations. IEEE International Conference on Robotics and Automation. (Jan. 2014)

Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz: Modeling perspective-taking by correlating visual and proprioceptive dynamics. Proceedings fo the 36th Annual Conference of the Cognitive Science Society. (Jan. 2014)

Stefan Faußer, Friedhelm Schwenker: Selective Neural Network Ensembles in Reinforcement Learning. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. (Jan. 2014)

Zhen Peng, Daniel Alexander Braun: Curiosity-driven learning with Context Tree Weighting. IEEE ICDL-EPIROB 2014. (Jan. 2014)

Tobias Brosch, Heiko Neumann: Interaction of Feedforward and Feedback Streams in Visual Cortex in a Firing-Rate Model of Columnar Computations. Neural Networks. (Jan. 2014)

Pedro A. Ortega, Daniel Alexander Braun: Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference. Complex Adaptive Systems Modeling. (Jan. 2014)

Anna Belardinelli, Johannes Kurz, Esther Kutter, Heiko Neumann, Hans-Otto Karnath, Martin V. Butz: Modeling Simultanagnosia.. CogSci. (Jan. 2014)

C. S. Neamat El Gayar, Friedhelm Schwenker, Ching Suen: Artificial Neural Networks in Pattern Recognition. Lect. Notes Artif. Intell. (Jan. 2014)

Tobias Brosch, P. Roelfsema, Heiko Neumann: Learning of New Perceptual Groupings - A Biologically Plausible Recurrent Neural Network Model that Learns Contour Integration. Journal of Vision (Abstract, VSS). (Jan. 2014)

Friedhelm Schwenker, Neamat Gayar, Cheng Suen: Artificial neural networks in pattern recognition. Springer International Publishing (Jan. 2014)

Jordi Grau-Moya, Daniel Alexander Braun: Bounded Rational Decision-Making in Changing Environments. NIPS 2013 Workshop on Planning with Information Constraints. (2013)

Tim Genewein, Daniel Alexander Braun: Abstraction in decision-makers with limited information processing capabilities. NIPS 2013 Workshop on Planning with Information Constraints. (2013)

Sascha Meudt, Dimitri Zharkov, Markus Kächele, Friedhelm Schwenker: Multi classifier systems and forward backward feature selection algorithms to classify emotional coloured speech. Proceedings of the 15th ACM on International conference on multimodal interaction. ACM (2013)

Martin Fuchs, Markus Kächele, Szymon Rusinkiewicz: Design and fabrication of faceted mirror arrays for light field capture. Computer Graphics Forum. (2013)

Michael Glodek, Thomas Geier, Susanne Biundo, Friedhelm Schwenker, Günther Palm: Recognizing user preferences based on layered activity recognition and first-order logic. Tools with Artificial Intelligence (ICTAI), 2013 IEEE 25th International Conference on. IEEE (Dec. 2013)

Harald Christhelm Traue, Frank Ohl, André Brechmann, Friedhelm Schwenker, Henrik Kessler, Kerstin Limbrecht, Holger Hoffmann, Stefan Scherer, Michael Kotzyba, Andreas Scheck, Steffen Walter: A framework for emotions and dispositions in man-companion interaction. Coverbal Synchrony in Human-Machine Interaction. New Hampshire, USA: Science Publishers. (Nov. 2013)

Martin Schels, Michael Glodek, Sascha Meudt, Stefan Scherer, Miriam Schmidt, Georg Layher, Stephan Tschechne, Tobias Brosch, David Hrabal, Steffen Walter, Harald Christhelm Traue, Günther Palm, Heiko Neumann, Friedhelm Schwenker: Multi-Modal Classifier-Fusion for the Recognition of Emotions. Coverbal synchrony in Human-Machine Interaction. CRC Press (Nov. 2013)

Zhi-Hua Zhou, Friedhelm Schwenker: Partially Supervised Learning: Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013, Revised Selected Papers. Springer (Nov. 2013)

J. Grau-Moya, E. Hez, G. Pezzulo, Daniel Alexander Braun: The effect of model uncertainty on cooperation in sensorimotor interactions. Journal of The Royal Society Interface. The Royal Society (Nov. 2013)

Petia Koprinkova‐Hristova, Mohamed Oubbati, Günther Palm: Heuristic dynamic programming using echo state network as online trainable adaptive critic. International Journal of Adaptive Control and Signal Processing. (Nov. 2013)

Z. Peng, Tim Genewein, Daniel Alexander Braun: Towards assessing randomness and complexity in human motion trajectories. 14th Conference of Junior Neuroscientists of Tübingen (NeNa 2013): Do the Results, Justify the Methods. (Nov. 2013)

Tobias Brosch, Friedhelm Schwenker, Heiko Neumann: Attention-Gated Reinforcement Learning in Neural Networks—A Unified View. International Conference on Artificial Neural Networks. Springer Berlin Heidelberg (Oct. 2013)

Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro Villa, Bruno Appollini, Nikola Kasabov: Proceedings of the 23rd International Conference on Artificial Neural Networks and Machine Learning—ICANN 2013-Volume 8131. Springer-Verlag (Oct. 2013)

Stephan Tschechne, Georg Layher, Heiko Neumann: A Biologically Inspired Model for the Detection of External and Internal Head Motions. International Conference on Artificial Neural Networks. Springer Berlin Heidelberg (Oct. 2013)

Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro Villa, Bruno Apolloni, Nikola K. Kasabov: Artificial Neural Networks and Machine Learning--ICANN 2013: 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings. Springer (Oct. 2013)

Z. Peng, Tim Genewein, Daniel Alexander Braun: Assessing randomness in human motion trajectories. Bernstein Conference 2013. (Oct. 2013)

Felix Leibfried, J. Grau-Moya, Daniel Alexander Braun: Signaling in sensorimotor interactions. Bernstein Conference 2013. (Oct. 2013)

Florian Raudies, Stefan Ringbauer, Heiko Neumann: A bio-inspired, computational model suggests velocity gradients of optic flow locally encode ordinal depth at surface borders and globally they encode self-motion. Neural computation. MIT Press (Oct. 2013)

Raimar Wagner, Markus Thom, Roland Schweiger, Günther Palm, Albrecht Rothermel: Learning convolutional neural networks from few samples. Neural Networks (IJCNN), The 2013 International Joint Conference on. IEEE (Sep. 2013)

Michael Glodek, Edmondo Trentin, Friedhelm Schwenker, Günther Palm: Hidden Markov models with graph densities for action recognition. Neural Networks (IJCNN), The 2013 International Joint Conference on. IEEE (Sep. 2013)

Georg Layher, Heiko Neumann: Combining form and motion-an integrated approach for learning biological motion representations. Journal of Vision. Association for Research in Vision and Ophthalmology (Aug. 2013)

Georg Layher, Heiko Neumann: Combining form and motion-an integrated approach for learning biological motion representations. Journal of Vision. The Association for Research in Vision and Ophthalmology (Aug. 2013)

Günther Palm, A. Ultsch, K. Goser, U. Rückert: KNOWLEDGE PROCESSING IN NEURAL. VLSI for Neural Networks and Artificial Intelligence. Springer Science & Business Media (Jul. 2013)

Eva Lindauer, Luc Dupuis, Hans-Peter Müller, Heiko Neumann, Albert C. Ludolph, Jan Kassubek: Adipose tissue distribution predicts survival in amyotrophic lateral sclerosis. PloS one. Public Library of Science (Jul. 2013)

Daniel Alexander Braun: Model uncertainty and risk-sensitivity in sensorimotor learning and decision-making. Universität Tübingen: AG Neuronale Informationsverarbeitung. (Jul. 2013)

Sascha Meudt, Michael Glodek, Martin Schels, Friedhelm Schwenker: Multi-view video based tracking and audio-visual identification of persons in a human-computer-interaction scenario. 2013 IEEE International Conference on Cybernetics (CYBCONF). IEEE (Jul. 2013)

Ingo Siegert, Michael Glodek, Axel Panning, Gerald Krell, Friedhelm Schwenker, Ayoub Al-Hamadi, Andreas Wendemuth: Using speaker group dependent modelling to improve fusion of fragmentary classifier decisions. Cybernetics (CYBCONF), 2013 IEEE International Conference on. IEEE (Jul. 2013)

Thomas Leichtle, Heiko Neumann, Dipl-Inf Georg Layher: Articulated Motion Estimation. (Jul. 2013)

Heiko Neumann, Luiz Pessoa: Visual filling-in and surface property reconstruction. Universität Ulm (Jul. 2013)

Tim Genewein, Daniel Alexander Braun: BayesianOccam’sRazorforstructure selectioninhumanmotorlearning. (Jul. 2013)

Elham Bavafaye Haghighi, Mohamad Rahmati, Günther Palm: With application in fast data mining. Information and Knowledge Technology (IKT), 2013 5th Conference on. IEEE (Jun. 2013)

Markus Kächele, Friedhelm Schwenker: Semi-supervised dictionary learning of sparse representations for emotion recognition. IAPR International Workshop on Partially Supervised Learning. Springer Berlin Heidelberg (Jun. 2013)

Michel Tokic, Friedhelm Schwenker, Günther Palm: Meta-learning of exploration and exploitation parameters with replacing eligibility traces. IAPR International Workshop on Partially Supervised Learning. Springer Berlin Heidelberg (Jun. 2013)

Pedro A. Ortega, Daniel Alexander Braun: Thermodynamics as a theory of decision-making with information-processing costs. Proc. R. Soc. A. The Royal Society (Jun. 2013)

Heiko Neumann: 3.11 Neural Mechanisms for the Analysis of Articulated Motion Sequences. Interpreting Observed Action. (Jun. 2013)

Florian Raudies, Heiko Neumann: Modeling heading and path perception from optic flow in the case of independently moving objects. Frontiers in behavioral neuroscience. Frontiers (May. 2013)

Markus Thom, Günther Palm: Efficient sparseness-enforcing projections. arXiv preprint arXiv:1303.5259. (Apr. 2013)

Steffen Simon, Friedhelm Schwenker, Günther Palm: A Hierarchical Neural Network Model for. Classification and Knowledge Organization: Proceedings of the 20th Annual Conference of the Gesellschaft für Klassifikation eV, University of Freiburg, March 6–8, 1996. Springer Science & Business Media (Apr. 2013)

Friedhelm Schwenker, Stefan Scherer, Louis-Philippe Morency: Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction: First IAPR TC3 Workshop, MPRSS 2012, Tsukuba, Japan, November 11, 2012, Revised Selected Papers. Springer (Apr. 2013)

Christian Toepfer, Gregory Baratoff, Moritz Wende, Heiko Neumann: zur Integration visueller Navigationsaufgaben. Mustererkennung 1998: 20. DAGM-Symposium. Stuttgart, 29. September–01. Oktober 1998. Springer-Verlag (Apr. 2013)

Ingo Ahrns, Heiko Neumann: by Means of Filter Tuning Techniques “. Mustererkennung 1998: 20. DAGM-Symposium. Stuttgart, 29. September–01. Oktober 1998. Springer-Verlag (Apr. 2013)

Friedhelm Schwenker, Steffen Simon, Günther Palm: die Erkennung von Einzelzeichen in. Mustererkennung 1998: 20. DAGM-Symposium. Stuttgart, 29. September–01. Oktober 1998. Springer-Verlag (Apr. 2013)

Friedhelm Schwenker, Günther Palm: Schritt haltende Objektklassifikation für. Autonome Mobile Systeme 1999: 15. Fachgespräch München, 26.–27. November 1999. Springer-Verlag (Apr. 2013)

Julian Forster, Heiko Neumann, Albrecht Rothermel, Roland Schweiger: Evaluation of 3D-Video Compression for Automotive Stereo Vision Systems. 15. ITG-Fachtagung für Elektronische Medien, 26.-27. Februar, Dortmund. (Apr. 2013)

Martin Schels, Stefan Scherer, Michael Glodek, Hans Kestler, Günther Palm, Friedhelm Schwenker: On the discovery of events in EEG data utilizing information fusion. Computational Statistics. Physica Verlag, An Imprint of Springer-Verlag GmbH (Mar. 2013)

Friedhelm Schwenker: Ensemble Methods: Foundations and Algorithms [Book Review]. Computational Intelligence Magazine, IEEE. IEEE (Mar. 2013)

Günther Palm: Neural associative memories and sparse coding. Neural Networks. Pergamon (Feb. 2013)

Stefan Scherer, John Kane, Christer Gobl, Friedhelm Schwenker: Investigating fuzzy-input fuzzy-output support vector machines for robust voice quality classification. Computer Speech & Language. Academic Press (Feb. 2013)

Heiko Neumann, L. Schwabe: Modelling Vision. PERCEPTION. PION LTD (Feb. 2013)

Günther Palm, Michael Glodek: Towards Emotion Recognition in Human Computer Interaction. Neural Nets and Surroundings. Springer Berlin Heidelberg (Feb. 2013)

Michael Glodek, Stephan Reuter, Martin Schels, Klaus Dietmayer, Friedhelm Schwenker: Kalman Filter Based Classifier Fusion for Affective State Recognition. Multiple Classifier Systems. Springer Berlin Heidelberg (Feb. 2013)

Stephan Tschechne, Heiko Neumann: Intermediate-Level Motion Representations Account for the Hollow Face Illusion. Perception ECVP abstract. Pion Ltd (Jan. 2013)

Zhi-Hua Zhou, Friedhelm Schwenker: Partially Supervised Learning. Springer Berlin Heidelberg (Jan. 2013)

Markus Gressmann, Günther Palm, Otto Löhlein: Progressive pedestrian localization using neural networks. Intelligent Systems: Models and Applications. Springer Berlin Heidelberg (Jan. 2013)

Markus Thom, Günther Palm: Sparse activity and sparse connectivity in supervised learning. Journal of Machine Learning Research. (Jan. 2013)

Günther Palm, Michael Glodek: Towards Emotion Recognition in Human Computer Interaction. Neural Nets and Surroundings: 22nd Italian Workshop on Neural Nets, WIRN 2012, May 17-19, Vietri sul Mare, Salerno, Italy. Springer, Berlin, Heidelberg (Jan. 2013)

Gerald Krell, Michael Glodek, Axel Panning, Ingo Siegert, Bernd Michaelis, Andreas Wendemuth, Friedhelm Schwenker: Fusion of Fragmentary Classifier Decisions for Affective State Recognition. Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction. Springer Berlin Heidelberg (Jan. 2013)

Mohamed Farouk Abdel Hady, Friedhelm Schwenker, M. Bianchini, M. Maggini, L. C. Jain: Handbook on Neural Information Processing. Intelligent Systems Reference Library, Berlin, Heidelberg: Springer (Jan. 2013)

Dimitrij Zharkov, Markus Kächele, Sascha Meudt, Friedhelm Schwenker: A long-term stopping criterion for the forward-backward feature selection algorithm for the classification of emotions in speech. Joint Proceedings of the T2CT and CCGL Workshops. (Jan. 2013)

Michael Glodek, Martin Schels, Friedhelm Schwenker: Ensemble Gaussian mixture models for probability density estimation. Computational Statistics. Physica Verlag, An Imprint of Springer-Verlag GmbH (Jan. 2013)

Mohamed Farouk Abdel Hady, Friedhelm Schwenker: Semi-supervised learning. Handbook on Neural Information Processing. Springer Berlin Heidelberg (Jan. 2013)

Heiko Neumann, L. Schwabe: A2: Modelling Vision. Perception ECVP abstract. Pion Ltd (Jan. 2013)

Florian Raudies, Heiko Neumann: A bio-inspired, motion-based analysis of crowd behavior attributes relevance to motion transparency, velocity gradients, and motion patterns. PLoS ONE. (2012)

Günther Palm: Neural assemblies: an alternative approach to artificial intelligence. Springer Science & Business Media (2012)

Günther Palm: Local Synaptic Rules with Maximal Information Storage Capacity G. Palm C. u. O. Vogt-Institut für Hirnforschung, Universität Düsseldorf, D-4000 Düsseldorf, Fed. Rep. of Germany. Neural and Synergetic Computers: Proceedings of the International Symposium at Schloß Elmau, Bavaria, June 13–17, 1988. Springer Science & Business Media (2012)

D. Marr, Günther Palm, T. Poggio: Biol. Cybernetics 28, 223–239 (1978) Biological Cybernetics by Springer-Verlag 1978. From the Retina to the Neocortex: Selected Papers of David Marr. Springer Science & Business Media (2012)

Heiko Neumann, H. Siegfried Stiehl: Contrast and Brightness Perception. ICANN’93: Proceedings of the International Conference on Artificial Neural Networks Amsterdam, The Netherlands 13–16 September 1993. Springer Science & Business Media (2012)

Friedhelm Schwenker, Stefan Scherer, Louis-Philippe Morency: Proceedings of the First international conference on Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction. Springer-Verlag (Dec. 2012)

Stefan Fausser, Friedhelm Schwenker: Clustering large datasets with kernel methods. Pattern Recognition (ICPR), 2012 21st International Conference on. IEEE (Dec. 2012)

Stefan Scherer, John Kane, Christer Gobl, Friedhelm Schwenker: The Effect of Fuzzy Training Targets on Voice Quality Classification. IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Springer, Berlin, Heidelberg (Dec. 2012)

Gerald Krell, Michael Glodek, Axel Panning, Ingo Siegert, Bernd Michaelis, Andreas Wendemuth, Friedhelm Schwenker: Fusion of fragmentary classifier decisions for affective state recognition. IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Springer Berlin Heidelberg (Dec. 2012)

Michael Glodek, Martin Schels, Günther Palm, Friedhelm Schwenker: Multi-modal Fusion based on classifiers using reject options and Markov Fusion Networks. 21st International Conference on Pattern Recognition (ICPR). IEEE (Dec. 2012)

Stefan Scherer, John Kane, Christer Gobl, Friedhelm Schwenker: The Effect of Fuzzy Training Targets on Voice Quality Classification. IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Springer Berlin Heidelberg (Dec. 2012)

Daniel Alexander Braun: Risk-sensitivity in motor control. Bernstein Center Freiburg: Bernstein Seminar. (Dec. 2012)

Stefan Scherer, Michael Glodek, Georg Layher, Martin Schels, Miriam Schmidt, Tobias Brosch, Stephan Tschechne, Friedhelm Schwenker, Heiko Neumann, Günther Palm: A generic framework for the inference of user states in human computer interaction. Journal on Multimodal User Interfaces. Springer-Verlag (Dec. 2012)

Stefan Scherer, Michael Glodek, Georg Layher, Martin Schels, Miriam Schmidt, Tobias Brosch, Stephan Tschechne, Friedhelm Schwenker, Heiko Neumann, Günther Palm: A generic framework for the inference of user states in human computer interaction. Journal on Multimodal User Interfaces. Springer Berlin/Heidelberg (Dec. 2012)

Michael Glodek, Martin Schels, Günther Palm, Friedhelm Schwenker: Multiple classifier combination using reject options and Markov fusion networks. Proceedings of the 14th ACM international conference on Multimodal interaction (ICMI). ACM (Nov. 2012)

Tim Genewein, Daniel Alexander Braun: A sensorimotor paradigm for Bayesian model selection. Frontiers in human neuroscience. Frontiers (Nov. 2012)

Jordi Grau-Moya, Pedro A. Ortega, Daniel Alexander Braun: Risk-sensitivity in bayesian sensorimotor integration. PLoS Comput Biol. Public Library of Science (Oct. 2012)

Sascha Meudt, Friedhelm Schwenker: On Instance Selection in Audio Based Emotion Recognition. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer Berlin Heidelberg (Oct. 2012)

Michel Tokic, Günther Palm: Gradient algorithms for exploration/exploitation trade-offs: Global and local variants. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer Berlin Heidelberg (Oct. 2012)

Sascha Meudt, Friedhelm Schwenker: On Instance Selection in Audio Based Emotion Recognition.. ANNPR. (Oct. 2012)

Miriam Schmidt, Günther Palm, Friedhelm Schwenker: On graph-associated matrices and their eigenvalues for optical character recognition. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer Berlin Heidelberg (Oct. 2012)

Daniel Alexander Braun, P. A. Ortega: Thermodynamics as a theory of bounded rational decision-making. Workshop on Statistical Physics of Inference and Control Theory. (Oct. 2012)

Pedro A. Ortega, Daniel Alexander Braun: Free Energy title = free energy & bounded rationality Bounded Rationality. Workshop on The Statistical Physics of Inference and Control Theory. (Oct. 2012)

Alessandro E. Villa, Włodzisław Duch, Péter Érdi, Francesco Masulli, Günther Palm: Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning-Volume Part II. Springer-Verlag (Oct. 2012)

Michael Glodek, Georg Layher, Friedhelm Schwenker, Günther Palm: Recognizing Human Activities Using a Layered Markov Architecture. Artificial Neural Networks and Machine Learning–ICANN 2012. Springer Berlin Heidelberg (Oct. 2012)

Michel Tokic, Günther Palm: Adaptive Exploration Using Stochastic Neurons. International Conference on Artificial Neural Networks. Springer Berlin Heidelberg (Oct. 2012)

Daniel Alexander Braun: Decision-making in sensorimotor control. 2nd CIN Systems Neuroscience Retreat. (Oct. 2012)

Mohamed Oubbati, Johannes Uhlemann, Günther Palm: Adaptive learning in continuous environment using actor-critic design and echo-state networks. International Conference on Simulation of Adaptive Behavior. Springer Berlin Heidelberg (Sep. 2012)

Andreas Knoblauch, Florian Hauser, Marc-Oliver Gewaltig, Edgar Körner, Günther Palm: Does spike-timing-dependent synaptic plasticity couple or decouple neurons firing in synchrony?. Frontiers in computational neuroscience. Frontiers (Sep. 2012)

Tobias Brosch, Heiko Neumann: Perceptual Crowding in a Neural Model of Feedforward-Feedback Interactions. Journal of Vision. The Association for Research in Vision and Ophthalmology (Sep. 2012)

Georg Layher, Heiko Neumann: Neural mechanisms of action recognition and implied motion. Journal of Vision. Association for Research in Vision and Ophthalmology (Sep. 2012)

Stephan Tschechne, Heiko Neumann: The structure of optical flow for figure-ground segregation. Journal of Vision. The Association for Research in Vision and Ophthalmology (Sep. 2012)

Georg Layher, Heiko Neumann: Neural mechanisms of action recognition and implied motion. Journal of Vision. The Association for Research in Vision and Ophthalmology (Sep. 2012)

Daniel Alexander Braun, L. Sturzenegger, M. Gresch, W. Gujer: Robust and Efficient Control Strategies for Waste Water Treatment Plants. KA- Korrespondenz Abwasser, Abfall. Gesellschaft zur Forderung der Abwassertechnik e. V. (Sep. 2012)

Michael Glodek, Friedhelm Schwenker, Günther Palm: Detecting actions by integrating sequential symbolic and sub-symbolic information in human activity recognition. International Workshop on Machine Learning and Data Mining in Pattern Recognition. Springer Berlin Heidelberg (Aug. 2012)

Jasper Poort, Florian Raudies, Aurel Wannig, Victor AF Lamme, Heiko Neumann, Pieter R. Roelfsema: The role of attention in figure-ground segregation in areas V1 and V4 of the visual cortex. Neuron. Cell Press (Aug. 2012)

José Esparza, Stefan Scherer, André Brechmann, Friedhelm Schwenker: Automatic emotion classification vs. human perception: Comparing machine performance to the human benchmark. Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on. IEEE (Aug. 2012)

Sascha Meudt, Lutz Bigalke, Friedhelm Schwenker: Atlas - Annotation tool using partially supervised learning and multi-view co-learning in human-computer-interaction scenarios. International Conference on Information Science Signal Processing and their Applications (ISSPA). IEEE (Aug. 2012)

Florian Raudies, Ennio Mingolla, Heiko Neumann: Active gaze control improves optic flow-based segmentation and steering. PLoS ONE. Public Library of Science (Jul. 2012)

Pedro A. Ortega, Jordi Grau-Moya, Tim Genewein, David Balduzzi, Daniel Alexander Braun: A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function. NIPS 2012. (Jul. 2012)

Florian Raudies, Heiko Neumann: A review and evaluation of methods estimating ego-motion. Computer Vision and Image Understanding. Academic Press (Jun. 2012)

Martin Schels, Michael Glodek, Friedhelm Schwenker, Günther Palm: Revisiting AVEC 2011 - An Information Fusion Architecture. Neural Nets and Surroundings. Springer, Berlin, Heidelberg (Jun. 2012)

Pedro A. Ortega, Daniel Alexander Braun: Free energy and the generalized optimality equations for sequential decision making. European Workshop on Reinforcement Learning 2012. (Jun. 2012)

Stefan Scherer, Georg Layher, John Kane, Heiko Neumann, Nick Campbell: An audiovisual political speech analysis incorporating eye-tracking and perception data. Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC’12). European Language Resources Association (ELRA) (Jun. 2012)

Amin Hosseini, Fabian Diewald, Jens Klappstein, Juergen Dickmann, Heiko Neumann: Modification of the landweber method based on the conjugate gradient method to restore automotive radar images. Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on. IEEE (May. 2012)

Nicolai Sebastian Waniek, Heiko Neumann, Florian Raudies: Biologically Inspired Model for Visually Driven Navigation. (Apr. 2012)

Martin Hopfensitz, Christoph Mussel, Christian Wawra, Markus Maucher, Michael Kuhl, Heiko Neumann, Hans Kestler: Multiscale binarization of gene expression data for reconstructing Boolean networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB). IEEE Computer Society Press (Apr. 2012)

Stefan Scherer, Michael Glodek, Friedhelm Schwenker, Nick Campbell, Günther Palm: Spotting laughter in natural multiparty conversations: A comparison of automatic online and offline approaches using audiovisual data. ACM Transactions on Interactive Intelligent Systems (TiiS). ACM (Apr. 2012)

R. Niese, A. Al-Hamadi, A. Farag, Heiko Neumann, B. Michaelis: Facial expression recognition based on geometric and optical flow features in colour image sequences. IET computer vision. IET Digital Library (Apr. 2012)

Edward JA Turnham, Daniel Alexander Braun, Daniel M. Wolpert: Facilitation of learning induced by both random and gradual visuomotor task variation. Journal of neurophysiology. American Physiological Society (Mar. 2012)

Michel Tokic, Philipp Ertle, Günther Palm, Dirk Söffker, Holger Voos: Robust Exploration/Exploitation trade-offs in safety-critical applications. IFAC Proceedings Volumes. Elsevier (Feb. 2012)

A. David Bouchain, Günther Palm: Neural coding in graphs of bidirectional associative memories. Brain research. Elsevier (Feb. 2012)

Günther Palm: Proposal for a Reinhart Koselleck-Project on" Building an Artificial Brain for an Autonomous Agent. (Feb. 2012)

Georg Layher, Martin A. Giese, Heiko Neumann: Learning Representations for Animated Motion Sequence and Implied Motion Recognition. Artificial Neural Networks and Machine Learning–ICANN 2012. Springer Berlin Heidelberg (Feb. 2012)

Alessandro EP Villa Włodzisław Duch, Francesco Masulli, Günther Palm: Artificial Neural Networks and Machine Learning–ICANN 2012. Springer Berlin Heidelberg (Jan. 2012)

Pedro A. Ortega, Daniel Alexander Braun: Adaptive Coding of Actions and Observations. NIPS 2012 Workshop on Information in Perception and Action. (Jan. 2012)

Mohamed Farouk Abdel Hady, Friedhelm Schwenker: Partially supervised learning. Monica Biancini and Marco Maggini and Lakim Jain, Handbook on Neural Information Processing. (Jan. 2012)

Martin Schels, Michael Glodek, Sascha Meudt, Miriam Schmidt, David Hrabal, Ronald Böck, Steffen Walter, Friedhelm Schwenker: Multi-modal classifier-fusion for the classification of emotional states in woz scenarios. 1st International Conference on Affective and Pleasurable Design. (Jan. 2012)

Tobias Brosch, Heiko Neumann: The Combination of HMAX and HOGs in an Attention Guided Framework for Object Localization. Pattern Recognition Applications and Methods, ICPRAM-11, Vol.2 (Feb. 6-8, 2012, Vilamoura, Algarve, Portugal). (Jan. 2012)

Tobias Brosch, Heiko Neumann: The brain’s sequential parallelism: perceptual decision-making and early sensory responses. ICONIP 2012, Part II (T Huang et al., eds.), LNCS 7664. Springer (Jan. 2012)

Mathias Bank, Friedhelm Schwenker: Fuzzification of agglomerative hierarchical crisp clustering algorithms. Challenges at the Interface of Data Analysis, Computer Science, and Optimization. Springer Berlin Heidelberg (Jan. 2012)

Alessandro EP Villa, Wlodzislaw Duch, Peter Erdi, Francesco Masulli, Günther Palm, Asuka Terai, Keiga Abe, Masanori Nakagawa: Examining an evaluation mechanism of metaphor generation with experiments and computational model simulation. Splinger (Jan. 2012)

N. Mana, Friedhelm Schwenker, Edmondo Trentin: Artificial Neural Networks in Pattern Recognition-5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. LECTURE NOTES IN COMPUTER SCIENCE. Springer-Verlag (Jan. 2012)

Tobias Brosch, Heiko Neumann: The Brain’s Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responses. LNCS. Springer Berlin/Heidelberg (Jan. 2012)

Magdalena Szczot, Otto Löhlein, Günther Palm: Dempster-Shafer fusion of context sources for pedestrian recognition. Belief Functions: Theory and Applications. Springer Berlin Heidelberg (Jan. 2012)

Mohamed Oubbati, Timo Oess, Christian Fischer, Günther Palm: Multiobjective reinforcement learning using adaptive dynamic programming and reservoir computing. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. (Jan. 2012)

Heiko Neumann, Florian Raudies: Neural mechanisms for form and motion detection and integration: biology meets machine vision. ECCV 2012 Ws/Demos, Part I (A. Fusiello et al., eds.), LNCS 7583. Springer (Jan. 2012)

Martin Schels, Michael Glodek, Sascha Meudt, Miriam Schmidt, D. Hrabal, Ronald Böck, S. Walter, Friedhelm Schwenker: Multi-modal classifier-fusion for the classification of emotional states in WOZ scenarios. Proceedings of the International Conference on Affective and Pleasurable Design (APD'12), Advances in Human Factors and Ergonomics Series. (Jan. 2012)

Sascha Meudt, Lutz Bigalke, Friedhelm Schwenker: ATLAS – an annotation tool for HCI data utilizing machine learning methods. Proceedings of the 1st International Conference on Affective and Pleasurable Design (APD'12) [Jointly with the 4th International Conference on Applied Human Factors and Ergonomics (AHFE'12)]. (Jan. 2012)

Georg Layher, Martin Giese, Heiko Neumann: Learning representations for animated motion sequences and implied motion recognition. Int'l Conf. on Artificial Neural Networks, ICANN 2012, Part I (AEP Villa et al., eds.), LNCS 7552. Springer Berlin/Heidelberg (Jan. 2012)

Günther Palm: Conditional and Subjective Novelty and Information. Novelty, Information and Surprise. Springer Berlin Heidelberg (Jan. 2012)

Nadia Mana, Friedhelm Schwenker, Edmondo Trentin: Artificial neural networks in pattern recognition. Springer, (Jan. 2012)

Günther Palm: Repertoires and Descriptions. Novelty, Information and Surprise. Springer Berlin Heidelberg (Jan. 2012)

Michael Glodek, Friedhelm Schwenker, Günther Palm: Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition. Proceedings of the International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM). Springer Berlin/Heidelberg (Jan. 2012)

Daniel Alexander Braun, Daniel M. Wolpert: Structural Learning in Sensorimotor Control. Encyclopedia of the Sciences of Learning. Springer US (Jan. 2012)

Friedhelm Schwenker, Heiko Neumann, Günther Palm: A generic framework for the inference of user states in human computer interaction, How patterns of low level behavioral cues support complex user states in HCI. Journal of Multimodal User Interfaces. (Jan. 2012)

Florian Raudies, Heiko Neumann: Modeling binocular and motion transparency processing by local center-surround interactions. Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts (M Pomplun, J Suzuki, eds.). IGI Publ. (Jan. 2012)

Michael Glodek, Lutz Bigalke, Martin Schels, Friedhelm Schwenker: Incorporating uncertainty in a layered HMM architecture for human activity recognition. Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding. ACM (2011)

Johannes Huth, Malte Buchholz, Johann M. Kraus, Kristian Mølhave, Cristian Gradinaru, Götz v Wichert, Thomas M. Gress, Heiko Neumann, Hans Kestler: TimeLapseAnalyzer: Multi-target analysis for live-cell imaging and time-lapse microscopy. Computer Methods and Programs in Biomedicine. Elsevier (Dec. 2011)

Mohamed Farouk Abdel Hady, Wesam Herbawi, Michael Weber, Friedhelm Schwenker: A multi-objective genetic algorithm for pruning support vector machines. Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on. IEEE (Dec. 2011)

D. Endres, Heiko Neumann, M. Kolesnik, M. A. Giese: Hooligan detection: the effects of saliency and expert knowledge. Imaging for Crime Detection and Prevention 2011 (ICDP 2011), 4th International Conference on. IET (Dec. 2011)

Florian Raudies, Ennio Mingolla, Heiko Neumann: A model of motion transparency processing with local center-surround interactions and feedback. Neural Computation. MIT Press (Dec. 2011)

Günther Palm: MirrorBot. Scholarpedia. (Nov. 2011)

Michael Glodek, Stephan Tschechne, Georg Layher, Martin Schels, Tobias Brosch, Stefan Scherer, Markus Kächele, Miriam Schmidt, Heiko Neumann, Günther Palm, Friedhelm Schwenker: Multiple Classifier Systems for the Classification of Audio-Visual Emotional States. Affective Computing and Intelligent Interaction. Springer Berlin/Heidelberg (Nov. 2011)

Markus Gressmann, Günther Palm, Otto Löhlein: Surround view pedestrian detection using heterogeneous classifier cascades. Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on. IEEE (Nov. 2011)

Michel Tokic, Günther Palm: Value-Difference Based Exploration: Adaptive Control between Epsilon-Greedy and Softmax.. KI. (Nov. 2011)

Georg Layher, Stephan Tschechne, Stefan Scherer, Tobias Brosch, Cristóbal Curio, Heiko Neumann: Social Signal Processing in Companion Systems - Challenges Ahead. Proceedings of the Workshop Companion-Systeme und Mensch-Companion Interaktion (41st Jahrestagung der Gesellschaft für Informatik). Gesellschaft für Informatik (Nov. 2011)

Stefan Faußer, Friedhelm Schwenker: Semi-Supervised kernel clustering with sample-to-cluster weights. IAPR International Workshop on Partially Supervised Learning. Springer Berlin Heidelberg (Oct. 2011)

Martin Schels, Markus Kächele, David Hrabal, Steffen Walter, Harald Christhelm Traue, Friedhelm Schwenker: Classification of emotional states in a woz scenario exploiting labeled and unlabeled bio-physiological data. IAPR International Workshop on Partially Supervised Learning. Springer Berlin Heidelberg (Oct. 2011)

José Esparza, Stefan Scherer, Friedhelm Schwenker: Studying Self- and Active-Training Methods for Multi-feature Set Emotion Recognition. IAPR International Workshop on Partially Supervised Learning. Springer Berlin Heidelberg (Oct. 2011)

Markus Gressmann, Otto Löhlein, Günther Palm: Pedestrian localization. Intelligent Systems and Informatics (SISY), 2011 IEEE 9th International Symposium on. IEEE (Oct. 2011)

Florian Raudies, Ennio Mingolla, Heiko Neumann: Motion transparency and spatial integration size–a modeling study. Journal of Vision. The Association for Research in Vision and Ophthalmology (Oct. 2011)

Stefan Ringbauer, Heiko Neumann: Perceptual Learning without Awareness: A Motion Pattern Gated Reinforcement Learner. Journal of Vision. The Association for Research in Vision and Ophthalmology (Oct. 2011)

Stephan Tschechne, Heiko Neumann: Ordinal depth from occlusion using optical flow: a neural model. Journal of Vision. The Association for Research in Vision and Ophthalmology (Oct. 2011)

Markus Thom, Roland Schweiger, Günther Palm: Training of sparsely connected MLPs. Joint Pattern Recognition Symposium. Springer Berlin Heidelberg (Sep. 2011)

Michael Glodek, Lutz Bigalke, Günther Palm, Friedhelm Schwenker: Recognizing Human Activities Using a Layered HMM Architecture. Workshop New Challenges in Neural Computation (NC2) 2011. Machine Learning Reports (Sep. 2011)

Michael Glodek, Stefan Scherer, Friedhelm Schwenker, Günther Palm: Conditioned Hidden Markov Model Fusion for Multimodal Classification.. INTERSPEECH. (Sep. 2011)

Markus Thom, Roland Schweiger, Günther Palm: Supervised matrix factorization with sparseness constraints and fast inference. Neural Networks (IJCNN), The 2011 International Joint Conference on. IEEE (Aug. 2011)

Florian Hauser, Günther Palm, A. Knoblauch: Different neural codes result in bidirectional connectivity formed by the same model of spike-timing-dependent plasticity. BMC Neuroscience. BioMed Central (Aug. 2011)

Steffen Walter, Stefan Scherer, Martin Schels, Michael Glodek, David Hrabal, Miriam Schmidt, Ronald Böck, Kerstin Limbrecht, Harald Christhelm Traue, Friedhelm Schwenker: Multimodal Emotion Classification in Naturalistic User Behavior. International Conference on Human-Computer Interaction. Springer Berlin Heidelberg (Aug. 2011)

Cornelia Beck, Heiko Neumann: Combining feature selection and integration - a neural model for MT motion selectivity. PLoS ONE. (Aug. 2011)

Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm: Multi-View Forest: A new ensemble method based on Dempster-Shafer evidence theory. International Journal of Applied Mathematics and Statistics (IJAMAS): Special Issue on Soft Computing and Approximate Reasoning. (Jul. 2011)

Stefan Faußer, Friedhelm Schwenker: Ensemble Methods for Reinforcement Learning with Function Approximation. International Workshop on Multiple Classifier Systems. Springer Berlin Heidelberg (Jul. 2011)

Daniel Alexander Braun, Ad Aertsen, Rony Paz, Eilon Vaadia, Stefan Rotter, Carsten Mehring: Online adaptation and over-trial learning in macaque visuomotor control. Frontiers in computational neuroscience. Frontiers (Jul. 2011)

Mohamed Oubbati, Josef Frick, Günther Palm: A distributed behavioral model using neural fields. International Conference on Artificial Neural Networks. Springer Berlin Heidelberg (Jul. 2011)

David Bouchain, Florian Hauser, Günther Palm: A framework for application-oriented design of large-scale neural networks. International Conference on Artificial Neural Networks. Springer Berlin Heidelberg (Jul. 2011)

Petia Koprinkova-Hristova, Günther Palm: ESN intrinsic plasticity versus reservoir stability. International Conference on Artificial Neural Networks. Springer Berlin Heidelberg (Jul. 2011)

Arne J. Nagengast, Daniel Alexander Braun, Daniel M. Wolpert: Risk sensitivity in a motor task with speed-accuracy trade-off. Journal of neurophysiology. American Physiological Society (Jul. 2011)

Hans Kestler, Ludwig Lausser, Wolfgang Lindner, Günther Palm: On the fusion of threshold classifiers for categorization and dimensionality reduction. Computational Statistics. Springer-Verlag (Jul. 2011)

Daniel Alexander Braun, Pedro A. Ortega, Daniel M. Wolpert: Motor coordination: when two have to act as one. Experimental brain research. Springer-Verlag (Jul. 2011)

Johann M. Kraus, Christoph Müssel, Günther Palm, Hans Kestler: Multi-objective selection for collecting cluster alternatives. Computational Statistics. Physica Verlag, An Imprint of Springer-Verlag GmbH (Jul. 2011)

Miriam Schmidt, Friedhelm Schwenker: Classification of Graph Sequences Utilizing the Eigenvalues of the Distance Matrices and Hidden Markov Models. International Workshop on Graph-Based Representations in Pattern Recognition. Springer Berlin Heidelberg (Jun. 2011)

Stefan Ringbauer, Stephan Tschechne, Heiko Neumann: Mechanisms of adaptive spatial integration in a neural model of cortical motion processing. International Conference on Adaptive and Natural Computing Algorithms. Springer Berlin Heidelberg (May. 2011)

Daniel Alexander Braun, Pedro A. Ortega, Evangelos Theodorou, Stefan Schaal: Path integral control and bounded rationality. Adaptive Dynamic Programming And Reinforcement Learning (ADPRL), 2011 IEEE Symposium on. IEEE (May. 2011)

Edward JA Turnham, Daniel Alexander Braun, Daniel M. Wolpert: Inferring visuomotor priors for sensorimotor learning. PLoS Comput Biol. Public Library of Science (Apr. 2011)

A. Unrath, H-P Müller, F. Raudies, Heiko Neumann, A. C. Ludolph, J. Kassubek: P146 Human body fat percentage determination in Parkinson’s disease: A pilot MRI study. Basal Ganglia. Elsevier (Apr. 2011)

Florian Hauser, Andreas Knoblauch, Günther Palm: A simulation study on different STDP models concerning localized gamma oscillations. (Apr. 2011)

Daniel Alexander Braun, Arne J. Nagengast, Daniel Wolpert: Risk-sensitivity in sensorimotor control. Frontiers in human neuroscience. Frontiers (Feb. 2011)

Arne J. Nagengast, Daniel Alexander Braun, Daniel M. Wolpert: Risk-sensitivity and the mean-variance trade-off: decision making in sensorimotor control. Proceedings of the Royal Society of London B: Biological Sciences. The Royal Society (Feb. 2011)

Hans‐Peter Müller, Florian Raudies, Alexander Unrath, Heiko Neumann, Albert C. Ludolph, Jan Kassubek: Quantification of human body fat tissue percentage by MRI. NMR in Biomedicine. John Wiley & Sons, Ltd. (Feb. 2011)

Pedro Alejandro Ortega, Daniel Alexander Braun, Simon Godsill: Reinforcement learning and the Bayesian control rule. Lecture Notes in Artificial Intelligence. Springer Berlin Heidelberg (Feb. 2011)

Jan D. Bouecke, Emilien Tlapale, Pierre Kornprobst, Heiko Neumann: Neural mechanisms of motion detection, integration, and segregation: From biology to artificial image processing systems. EURASIP Journal on Advances in Signal Processing. Hindawi Publishing Corp. (Feb. 2011)

Georg Layher, Hendrik Liebau, Robert Niese, Ayoub Al-Hamadi, Bernd Michaelis, Heiko Neumann: Robust Stereoscopic Head Pose Estimation in Human-Computer Interaction and a Unified Evaluation Framework. Image Analysis and Processing–ICIAP 2011. Springer Berlin Heidelberg (Feb. 2011)

Stephan Tschechne, Heiko Neumann: Kinetic occlusions and ordinal depth assignments—a neural model. Perception ECVP abstract. Pion Ltd (Jan. 2011)

Daniel Alexander Braun: Philosophische Verwicklungen der neurobiologischen Bewusstseinsforschung. (Jan. 2011)

J. D. Bouecke, Heiko Neumann: Smooth pursuit eye movements and the solution of the motion aperture problem—A closed loop neural model. Perception ECVP abstract. Pion Ltd (Jan. 2011)

Sunghyun Park, Stefan Scherer, Jonathan Gratch, Peter Carnevale, Louis-Philippe Morency: Using Automatic Multimodal Cues to Predict Immediate Outcomes in a Dyadic Negotiation. (Jan. 2011)

Catharine Oertel, Céline De Looze, Stefan Scherer, Andreas Windmann, Petra Wagner, Nick Campbell: Towards the Automatic Detection of Involvement in Conversation. Analysis of Verbal and Nonverbal Communication and Enactment. The Processing Issues. Springer Berlin Heidelberg (Jan. 2011)

Catharine Oertel, Stefan Scherer, Nick Campbell: On the use of multimodal cues for the prediction of involvement in spontaneous conversation. Interspeech. (Jan. 2011)

Nikolai Sergeev, Günther Palm: A New Object Recognition System.. VISAPP. (Jan. 2011)

Georg Layher, Heiko Neumann: Learning action recognition and implied motion—A neural model. Perception ECVP abstract. Pion Ltd (Jan. 2011)

Steffen Walter, Stefan Scherer, Martin Schels, Michael Glodek, David Hrabal, Miriam Schmidt, Ronald Böck, Kerstin Limbrecht, Harald Christhelm Traue, Friedhelm Schwenker: Multimodal emotion classification in naturalistic user behavior. Human-Computer Interaction. Towards Mobile and Intelligent Interaction Environments. Springer Berlin/Heidelberg (Jan. 2011)

Stefan Scherer, Martin Schels, Günther Palm: How Low Level Observations Can Help to Reveal the User’s State in HCI. Affective Computing and Intelligent Interaction. Springer Berlin/Heidelberg (Jan. 2011)

Florian Raudies, Ennio Mingolla, Heiko Neumann: A neural model for transparent motion processing. Neural Computation. MIT Press (Jan. 2011)

Stefan Scherer, Martin Schels, Günther Palm: How low level observations can help to reveal the user’s state in hci. Affective Computing and Intelligent Interaction. Springer Berlin Heidelberg (Jan. 2011)

Martin Schels, Stefan Scherer, Michael Glodek, Hans Kestler, Günther Palm, Friedhelm Schwenker: On the discovery of events in EEG data utilizing information fusion. Computational Statistics. Springer-Verlag (Jan. 2011)

Martin Schels, Patrick Schillinger, Friedhelm Schwenker: Training of multiple classifier systems utilizing partially labeled sequences. Proceedings of the 19th European Symposium on Artificial Neural Networks. (Jan. 2011)

Michael Glodek, Stefan Scherer, Friedhelm Schwenker: Conditioned hidden Markov model fusion for multimodal classification. Twelfth Annual Conference of the International Speech Communication Association (Interspeech). ISCA (Jan. 2011)

Johannes Huth, M. Ekstern Buchholz, J. M. Kraus, K. Mølhave, C. Gradinaru, G. Ekstern Wichert, T. M. Gress, Heiko Neumann, Hans Kestler: TimeLapseAnalyzer: Multi-target analysis for live-cell imaging and time-lapse microscopy-DTU Orbit (07/01/2016). (Jan. 2011)

Pedro Ortega, Daniel Alexander Braun: Information, utility and bounded rationality. Lecture Notes in Artificial Intelligence. Springer Berlin/Heidelberg (Jan. 2011)

Mohamed Oubbati, Markus Kächele, P. Koprinkova, Günther Palm: Anticipating Rewards in Continuous Time and Space with Echo State Networks and Actor-Critic Design.. ESANN. (Jan. 2011)

S. Ringbauer, Heiko Neumann: Perceptual learning with limited capacity: A neural model for motion pattern detection. Perception ECVP abstract. Pion Ltd (Jan. 2011)

Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm: When classifier selection meets information theory: A unifying view. Soft Computing and Pattern Recognition (SoCPaR), 2010 International Conference of. IEEE (2010)

Robert Niese, Ayoub Al-Hamadi, Bernd Michaelis, Heiko Neumann: Integration of geometric and dynamic features for facial expression recognition in color image sequences. Soft Computing and Pattern Recognition (SoCPaR), 2010 International Conference of. IEEE (2010)

Émilien Tlapale, Pierre Kornprobst, Jan D. Bouecke, Heiko Neumann, Guillaume S. Masson: Evaluating motion estimation models from behavioural and psychophysical data. International Conference on Bio-Inspired Models of Network, Information, and Computing Systems. Springer Berlin Heidelberg (2010)

Émilien Tlapale, Pierre Kornprobst, Guillaume Masson, Olivier Faugeras, Jan Bouecke, Heiko Neumann: Bio-inspired motion estimation–From modelling to evaluation, can biology be a source of inspiration?. (Dec. 2010)

Petia Koprinkova-Hristova, Mohamed Oubbati, Günther Palm: Adaptive critic design with echo state network. Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on. IEEE (Nov. 2010)

Stefan Fausser, Friedhelm Schwenker: Learning a Strategy with Neural Approximated Temporal-Difference Methods in English Draughts. 2010 20th International Conference on Pattern Recognition (ICPR). IEEE (Nov. 2010)

Marco Gori, Barbara Hammer, Pascal Hitzler, Günther Palm: Perspectives and challenges for recurrent neural network training. Logic Journal of the IGPL. (Nov. 2010)

Axel Panning, Ayoub Al-Hamadi, Bernd Michaelis, Heiko Neumann: Colored and anchored Active Shape Models for tracking and form description of the facial features under image-specific disturbances. I/V Communications and Mobile Network (ISVC), 2010 5th International Symposium on. IEEE (Oct. 2010)

Mohamed Farouk Abdel Hady, Martin Schels, Friedhelm Schwenker, Günther Palm: Semi-supervised facial expressions annotation using co-training with fast probabilistic tri-class SVMs. International Conference on Artificial Neural Networks. Springer Berlin Heidelberg (Oct. 2010)

Florian Hauser, David Bouchain, Günther Palm: Simple constraints for zero-lag synchronous oscillations under STDP. International Conference on Artificial Neural Networks. Springer Berlin Heidelberg (Oct. 2010)

Petia Koprinkova-Hristova, Günther Palm: Adaptive critic design with ESN critic for bioprocess optimization. International Conference on Artificial Neural Networks. Springer Berlin Heidelberg (Oct. 2010)

Nick Campbell, Stefan Scherer: Comparing measures of synchrony and alignment in dialogue speech timing with respect to turn-taking activity.. INTERSPEECH. (Oct. 2010)

Mohamed Oubbati, Bahram Kord, Günther Palm: Learning robot-environment interaction using echo state networks. International Conference on Simulation of Adaptive Behavior. Springer Berlin Heidelberg (Sep. 2010)

Martin Schels, Friedhelm Schwenker: A multiple classifier system approach for facial expressions in image sequences utilizing GMM supervectors. Pattern Recognition (ICPR), 2010 20th International Conference on. IEEE (Sep. 2010)

Magdalena Szczot, Julian Forster, Otto Lohlein, Günther Palm: Package Boosting for Readaption of Cascaded Classifiers. Pattern Recognition (ICPR), 2010 20th International Conference on. IEEE (Sep. 2010)

Dominik Endres, Cornelia Beck, Jan Bouecke, Lars Omlor, Heiko Neumann, Martin Giese: Segmentation of action streams: comparison between human and statistically optimal performance. Journal of Vision. The Association for Research in Vision and Ophthalmology (Sep. 2010)

Pierre Kornprobst, Emilien Tlapale, Jan Bouecke, Heiko Neumann, Guillaume S. Masson: A Bio-Inspired Evaluation Methodology for Motion Estimation. Journal of Vision. The Association for Research in Vision and Ophthalmology (Sep. 2010)

Florian Raudies, Ennio Mingolla, Heiko Neumann: A Neural Model of Binocular Transparent Depth Perception. Journal of Vision. The Association for Research in Vision and Ophthalmology (Sep. 2010)

Stefan Ringbauer, Florian Raudies, Heiko Neumann: Local Perceptual Learning for Motion Pattern Discrimination: a Neural Model. Journal of Vision. The Association for Research in Vision and Ophthalmology (Sep. 2010)

Arne J. Nagengast, Daniel Alexander Braun, Daniel M. Wolpert: Risk-sensitive optimal feedback control accounts for sensorimotor behavior under uncertainty. PLoS Comput Biol. Public Library of Science (Aug. 2010)

Pedro A. Ortega, Daniel Alexander Braun: An axiomatic formalization of bounded rationality based on a utility-information equivalence. arXiv preprint arXiv:1007.0940. (Aug. 2010)

Mohamed Farouk Abdel Hady, Friedhelm Schwenker: Combining Committee-Based Semi-Supervised Learning and Active Learning. Journal of Computer Science and Technology. Springer US (Aug. 2010)

H. M. Abdel, Friedhelm Schwenker: Combining committee-based semi-supervised and active learning. Journal of computer and science and technology. (Aug. 2010)

Michael Klein, Hans Kamp, Günther Palm, Kenji Doya: A computational neural model of goal-directed utterance selection. Neural Networks. Pergamon (Jul. 2010)

Émilien Tlapale, Pierre Kornprobst, Jan Bouecke, Heiko Neumann, Guillaume Masson: Towards a bio-inspired evaluation methodology for motion estimation models. (Jul. 2010)

Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm: Semi-supervised learning for tree-structured ensembles of RBF networks with Co-Training. Neural Networks. Elsevier Science Ltd. (Jun. 2010)

Volker Fritzsch, Stefan Scherer, Friedhelm Schwenker: An Open Source Process Engine Framework for Realtime Pattern Recognition and Information Fusion Tasks.. LREC. (Jun. 2010)

Stefan Scherer, Ingo Siegert, Lutz Bigalke, Sascha Meudt: Developing an Expressive Speech Labeling Tool Incorporating the Temporal Characteristics of Emotion.. LREC. (Jun. 2010)

Stefan Faußer, Friedhelm Schwenker: Parallelized Kernel Patch Clustering. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer, Berlin, Heidelberg (May. 2010)

Miriam Schmidt, Martin Schels, Friedhelm Schwenker: A hidden markov model based approach for facial expression recognition in image sequences. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer Berlin Heidelberg (May. 2010)

Stefan Faußer, Friedhelm Schwenker: Parallelized Kernel Patch Clustering. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer Berlin Heidelberg (May. 2010)

Edmondo Trentin, Stefan Scherer, Friedhelm Schwenker: Maximum Echo-State-Likelihood Networks for Emotion Recognition. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer Berlin Heidelberg (May. 2010)

Mohamed Farouk Abdel Hady, Friedhelm Schwenker: Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition. International Workshop on Multiple Classifier Systems. Springer Berlin Heidelberg (May. 2010)

Friedhelm Schwenker, Stefan Scherer, Miriam Schmidt, Martin Schels, Michael Glodek: Multiple Classifier Systems for the Recogonition of Human Emotions. International Workshop on Multiple Classifier Systems. Springer Berlin/Heidelberg (May. 2010)

Cornelia Beck, Heiko Neumann: Interactions of motion and form in visual cortex–a neural model. Journal of Physiology, Paris. Elsevier (Apr. 2010)

Florian Raudies, Heiko Neumann: A model of neural mechanisms in monocular transparent motion perception. Journal of Physiology-Paris. Elsevier (Apr. 2010)

Florian Raudies, Heiko Neumann: A neural model of the temporal dynamics of figure-ground segregation in motion perception. Neural Networks. (Apr. 2010)

Friedhelm Schwenker, Neamat El Gayar: Artificial Neural Networks in Pattern Recognition: 4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010, Proceedings. Springer Science & Business Media (Apr. 2010)

Pedro A. Ortega, Daniel Alexander Braun: Convergence of Bayesian Control Rule. arXiv preprint arXiv:1002.3086. (Mar. 2010)

Pedro A. Ortega, Daniel Alexander Braun: A Minimum Relative Entropy Controller for Undiscounted Markov Decision Processes. arXiv preprint arXiv:1002.1480. (Mar. 2010)

Mohamed Oubbati, Günther Palm: A neural framework for adaptive robot control. Neural Computing and Applications. Springer-Verlag (Mar. 2010)

Andreas Knoblauch, Günther Palm, Friedrich T. Sommer: Memory capacities for synaptic and structural plasticity. Neural Computation. MIT Press (Mar. 2010)

Daniel Alexander Braun, Stephan Waldert, Ad Aertsen, Daniel M. Wolpert, Carsten Mehring: Structure learning in a sensorimotor association task. PloS one. Public Library of Science (Feb. 2010)

Daniel Alexander Braun, Carsten Mehring, Daniel M. Wolpert: Structure learning in action. Elsevier (Feb. 2010)

Pedro A. Ortega, Daniel Alexander Braun: A minimum relative entropy principle for learning and acting. Journal of Artificial Intelligence Research. (Jan. 2010)

Michael Glodek, Martin Schels, Friedhelm Schwenker: Ensemble methods for probability density estimation. Workshop New Challenges in Neural Computation 2010. (Jan. 2010)

Daniel Alexander Braun, Pedro A. Ortega: A Minimum Relative Entropy Principle for Adaptive Control in Linear Quadratic Regulators.. Proceedings of the 7th international conference on informatics in control, automation and robotics. SciTePress – Science and Technology Publications (Jan. 2010)

J. BOERGER, J. HAERING, B. FASSBENDER, Günther Palm: Ein neuer Ansatz zur Situationspraediktion fuer weite Anwendungsfelder in Fahrerassistenzsystemen/A new approach of situation prediction for manifold driver assistance systems. VDI-Berichte. (Jan. 2010)

Petra-Maria Strauß, Stefan Scherer, Georg Layher, Holger Hoffmann: Evaluation of the PIT Corpus Or What a Difference a Face Makes?. LREC. (Jan. 2010)

Sebastian Egger, Raimund Schatz, Stefan Scherer: It takes two to tango-assessing the impact of delay on conversational interactivity on perceived speech quality. Eleventh Annual Conference of the International Speech Communication Association. (Jan. 2010)

Lionel Prevost Simone Marinai, Friedhelm Schwenker: Neural Networks in Pattern Recognition. (Jan. 2010)

Thomas Wennekers, Günther Palm: Syntactic sequencing in Hebbian cell assemblies. Cognitive neurodynamics. Springer Netherlands (2009)

Pedro A. Ortega, Daniel Alexander Braun: A conversion between utility and information. Proceedings of the third conference on artificial general intelligence. Atlantis Press (Dec. 2009)

Simon Eckert, Günther Palm, Mohamed Oubbati: Lernverhalten von Robotern mit Neuro-nalen Netzen. (Dec. 2009)

Pedro A. Ortega, Daniel Alexander Braun: A bayesian rule for adaptive control based on causal interventions. Proceedings of the third conference on artificial general intelligence. Atlantis Press (Dec. 2009)

Mohamed Oubbati, Günther Palm: Self-motivated learning robot. 9th Epigenetic Robotics International Conference (Epirob09): Modeling Cognitive Development in Robotic Systems, Venice, Italy. (Dec. 2009)

Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm: Semi-supervised Learning for Regression with Co-training by Committee. International Conference on Artificial Neural Networks. Springer Berlin Heidelberg (Oct. 2009)

Florian Hauser, David Bouchain, Günther Palm: Coexistence of cell assemblies and STDP. International Conference on Artificial Neural Networks. Springer Berlin Heidelberg (Oct. 2009)

Friedhelm Schwenker, Stefan Scherer, Yasmine M. Magdi, Günther Palm: The GMM-SVM supervector approach for the recognition of the emotional status from speech. International Conference on Artificial Neural Networks. Springer Berlin Heidelberg (Oct. 2009)

Friedhelm Schwenker, Stefan Scherer, Yasmine M. Magdi, Günther Palm: The GMM-SVM Supervector Approach for the Recognition of the Emotional Status from Speech. International Conference on Artificial Neural Networks. Springer Berlin Heidelberg (Oct. 2009)

Stefan Scherer, Volker Fritzsch, Friedhelm Schwenker: Multimodal real-time conversation analysis using a novel process engine. Affective Computing and Intelligent Interaction and Workshops, 2009. ACII 2009. 3rd International Conference on. IEEE (Oct. 2009)

Florian Raudies, Heiko Neumann: An efficient linear method for the estimation of ego-motion from optical flow. Joint Pattern Recognition Symposium. Springer Berlin Heidelberg (Oct. 2009)

Daniel Alexander Braun: Structural Learning in Motor Control. Second Scientific Workshop" Computational Principles of Sensorimotor learning". (Oct. 2009)

Daniel Alexander Braun, Pedro A. Ortega, Daniel M. Wolpert: Nash equilibria in multi-agent motor interactions. PLoS Computational Biology. (Sep. 2009)

Harriet A. Allen, Glyn W. Humphreys, Jessica Colin, Heiko Neumann: Ventral extra-striate cortical areas are required for human visual texture segmentation. Journal of Vision. Association for Research in Vision and (Sep. 2009)

Stefan Ringbauer, Florian Raudies, Heiko Neumann: Perceptual learning for speed discrimination in optical flow. Journal of Vision. The Association for Research in Vision and Ophthalmology (Sep. 2009)

Johann M. Kraus, Günther Palm, Friedhelm Schwenker, Hans Kestler: Semi-supervised clustering in functional genomics. Mathematical Analysis of Evolution, Information, and Complexity. Wiley‐VCH Verlag GmbH & Co. KGaA (Aug. 2009)

Stefano Cardanobile, Heiner Markert, Delio Mugnolo, Günther Palm, Friedhelm Schwenker: Relating Simulation and Modeling of Neural Networks. Mathematical Analysis of Evolution, Information, and Complexity. Wiley‐VCH Verlag GmbH & Co. KGaA (Aug. 2009)

Ludwig Lausser, Friedhelm Schwenker, Hans Kestler: Boosting Ensembles of Weak Classifiers in High Dimensional Input Spaces. Mathematical Analysis of Evolution, Information, and Complexity. Wiley‐VCH Verlag GmbH & Co. KGaA (Aug. 2009)

Zöhre Kara Kayikci, Dmitry Zaykovskiy, Heiner Markert, Wolfgang Minker, Günther Palm: Distributed Architecture for Speech-Controlled Systems Based on Associative Memories. Mathematical Analysis of Evolution, Information, and Complexity. John Wiley & Sons (Aug. 2009)

Arne J. Nagengast, Daniel Alexander Braun, Daniel M. Wolpert: Optimal control predicts human performance on objects with internal degrees of freedom. PLoS Comput Biol. Public Library of Science (Jul. 2009)

Ulrich Weidenbacher, Heiko Neumann: Extraction of surface-related features in a recurrent model of V1-V2 interactions. PLoS ONE. Public Library of Science (Jul. 2009)

Mohamed Oubbati, Wolfgang Holoch, Günther Palm: Neural fields for complex behavior generation on autonomous robots. Neural Networks, 2009. IJCNN 2009. International Joint Conference on. IEEE (Jul. 2009)

Mohamed Farouk Abdel Hady, Friedhelm Schwenker: Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion. International Workshop on Multiple Classifier Systems. Springer Berlin Heidelberg (Jul. 2009)

Magdalena Szczot, Otto Lohlein, Matthias Serfling, Günther Palm: Incorporating contextual information in pedestrian recognition. Intelligent Vehicles Symposium, 2009 IEEE. IEEE (Jul. 2009)

Friedhelm Schwenker: Ensemble methods and artificial neural networks for probability density function estimation. Ulmer Informatik-Berichte. (Jul. 2009)

Daniel Alexander Braun, Ad Aertsen, Daniel M. Wolpert, Carsten Mehring: Learning optimal adaptation strategies in unpredictable motor tasks. Journal of Neuroscience. Society for Neuroscience (Jun. 2009)

Günther Palm: Zöhre Kara Kayikci1), Dmitry Zaykovskiy1), Heiner Markert1), Wolfgang Minker. Mathematical Analysis of Evolution, Information, and Complexity. John Wiley & Sons (May. 2009)

H. Markert, U. Kaufmann, Z. Kara Kayikci, Günther Palm: Neural associative memories for the integration of language, vision and action in an autonomous agent. Neural Networks. Pergamon (Apr. 2009)

Daniel Alexander Braun, Ad Aertsen, Daniel M. Wolpert, Carsten Mehring: Motor task variation induces structural learning. Current Biology. Cell Press (Mar. 2009)

Cornelia Beck, Umberto Olcese, Alberto Montagner, Stefan Ringbauer, Heiko Neumann, Antonio Frisoli, Rita Almeida, Massimo Bergamasco, Gustavo Deco: A neuroinspired cognitive behavioral control architecture for visually driven mobile robotics. Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference on. IEEE (Mar. 2009)

Stefan Scherer, Volker Fritzsch, Friedhelm Schwenker, Nick Campbell: Demonstrating laughter detection in natural discourses. Interdisciplinary Workshop on Laughter and other Interactional Vocalisations in Speech. (Mar. 2009)

Stefan Scherer, Friedhelm Schwenker, Günther Palm: Advanced intelligent environments. US: Springer. (Jan. 2009)

H. A. Allen, G. W. Humphreys, J. Colin, Heiko Neumann: Ventral extra-striate cortical areas are required for. (Jan. 2009)

Stefano Cardanobile, Michael A. Cohen, Silvia Corchs, Delio Mugnolo, Heiko Neumann: Investigation of input-output gain in dynamical systems for neural information processing. Mathematical Analysis of Evolution, Information, and Complexity (W Arendt, W Schleich, eds.), Ch. 14. Wiley-VCH (Jan. 2009)

Holger Stefan Janzer, Florian Raudies, Heiko Neumann, Frank Steiner: Image processing and feature extraction from a perspective of computer vision and physical cosmology. Mathematical Analysis of Evolution, Information, and Complexity (W Arendt, W Schleich (eds.), Ch. 10. Wiley-VCH (Jan. 2009)

Friedhelm Schwenker, A. Labib: Echo State Networks and Neural Network Ensembles to Predict Sunspots Activity. 17th European Symp. on Artificial Neural Networks. (Jan. 2009)

Günther Palm, Friedhelm Schwenker: Sensor-fusion in neural networks. Harbour Protection Through Data Fusion Technologies. Springer Netherlands (Jan. 2009)

U. Weidenbacher, Heiko Neumann: Learning of motion and form patterns from head and body movements for the analysis of human visual communication. Perception ECVP abstract. Pion Ltd (Jan. 2009)

S. Ringbauer, F. Raudies, Heiko Neumann: Decision making and perceptual learning for speed discrimination. Front. Syst. Neurosci. Conference Abstract: Computational and systems neuroscience. (Jan. 2009)

Michael Glodek, Steffen Möller: Web Service programming Tutorial. NORDUGRID (Jan. 2009)

T. Hansen, Heiko Neumann: A model of V1 for visual working memory using cortical and interlaminar feedback. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf. neuro. (Jan. 2009)

Stefan Scherer, Friedhelm Schwenker, Nick Campbell, Günther Palm: Multimodal Laughter Detection in Natural Discourses. Human Centered Robot Systems. Springer Berlin Heidelberg (Jan. 2009)

F. Raudies, J. D. Bouecke, Heiko Neumann: Neural mechanisms of visual motion integration and ego-motion estimation-a modeling investigation. Frontiers in Systems Neuroscience. Conference Abstract: Computational and Systems Neuroscience. (Jan. 2009)

Friedhelm Schwenker, Amr Labib: Echo state networks and neural network ensembles to predict sunspots activity. network. (Jan. 2009)

S. Ringbauer, F. Raudies, Heiko Neumann: Analysis of optical flow at object occlusions. Perception ECVP abstract. Pion Ltd (Jan. 2009)

J. D. Bouecke, Heiko Neumann: Motion-form and form-motion interaction in perceptual disambiguation. Perception ECVP abstract. Pion Ltd (Jan. 2009)

C. Beck, Heiko Neumann: Unifying mechanisms of motion integration and segregation in area MT: a neural model. Perception ECVP abstract. Pion Ltd (Jan. 2009)

Stefan Scherer, Friedhelm Schwenker, Günther Palm: Classifier fusion for emotion recognition from speech. Advanced intelligent environments. Springer US (Jan. 2009)

F. Raudies, Heiko Neumann: Visual steering of human behaviour in navigation: a modeling investigation. Perception ECVP abstract. Pion Ltd (Jan. 2009)

Heiko Neumann: Neural mechanisms of motion integration and segregation: perception and modeling. Perception ECVP abstract. Pion Ltd (Jan. 2009)

Stefan Scherer, Edmondo Trentin, Friedhelm Schwenker, Günther Palm: Approaching emotion in human computer interaction. International workshop on spoken dialogue systems (IWSDS’09). (Jan. 2009)

C. Beck, Heiko Neumann: Area MT pattern motion selectivity by integrating 1D and 2D motion features from V1–a neural model. Frontiers in Computational Neuroscience. Conference Abstract: Computational and systems neuroscience. doi: 10.3389/conf. neuro. (Jan. 2009)

Stefan Scherer, Friedhelm Schwenker, Günther Palm: Classifier Fusion for Emotion Recognition from Speech. Advanced intelligent environments. Springer US (Jan. 2009)

Martin Schels, Christian Thiel, Friedhelm Schwenker, Günther Palm: Classifier fusion applied to facial expression recognition: An experimental comparison. Human Centered Robot Systems. Springer Berlin Heidelberg (Jan. 2009)

Mohamed Farouk Abdel Hady, Friedhelm Schwenker: Co-training by committee: a new semi-supervised learning framework. Data Mining Workshops, 2008. ICDMW'08. IEEE International Conference on. IEEE (2008)

Mohamed Farouk Abdel Hady, Friedhelm Schwenker: Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees.. Int. J. Software and Informatics. (2008)

Cornelia Beck, Thilo Ognibeni, Heiko Neumann: Object segmentation from motion discontinuities and temporal occlusions - a biologically inspired model. PLoS ONE. Public Library of Science (Dec. 2008)

Zöhre Kara Kayikci, Günther Palm: Large vocabulary continuous speech recognition using associative memory and hidden Markov model. Proceeding SSIP. (Oct. 2008)

Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm: Semi-supervised learning of tree-structured RBF networks using Co-Training. International Conference on Artificial Neural Networks. Springer Berlin Heidelberg (Oct. 2008)

Wolfgang Holoch, Günther Palm, Mohamed Oubbati: Eine biologisch inspirierte Navigation für mobile Roboter. (Sep. 2008)

Stefano Cardanobile, Heiner Markert, Delio Mugnolo, Günther Palm, Friedhelm Schwenker: Relating simulation and modelling of neural networks. Evolution, Information and Complexity. (Aug. 2008)

Stefan Scherer, Mohamed Oubbati, Friedhelm Schwenker, Günther Palm, Real-Time Emotion Recognition from Speech: Using Echo State Networks. Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition. (Aug. 2008)

Christian Thiel, Britta Sonntag, Friedhelm Schwenker: Experiments with supervised fuzzy lvq. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer Berlin Heidelberg (Aug. 2008)

Heiner Markert, Zöhre Kara Kayikci, Günther Palm: Sentence understanding and learning of new words with large-scale neural networks. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer Berlin Heidelberg (Aug. 2008)

Stefan Faußer, Friedhelm Schwenker: Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer Berlin Heidelberg (Aug. 2008)

Stefan Scherer, Mohamed Oubbati, Friedhelm Schwenker, Günther Palm: Real-Time Emotion Recognition from Speech Using Echo State Networks. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer Berlin Heidelberg (Aug. 2008)

Lionel Prevost, Simone Marinai, Friedhelm Schwenker: Artificial Neural Networks in Pattern Recognition: Third IAPR TC3 Workshop, ANNPR 2008 Paris, France, July 2-4, 2008, Proceedings. Springer (Jul. 2008)

Thorsten Hansen, Heiko Neumann: A recurrent model of contour integration in primary visual cortex. Journal of Vision. ARVO (Jul. 2008)

Stefan Scherer, Mohamed Oubbati, Friedhelm Schwenker, Günther Palm: Real-Time Emotion Recognition Using Echo State Networks. International Tutorial and Research Workshop on Perception and Interactive Technologies for Speech-Based Systems. Springer Berlin Heidelberg (Jul. 2008)

Elisabeth André, Laila Dybkjær, Wolfgang Minker, Heiko Neumann, Roberto Pieraccini, Michael Weber: Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems. Springer-Verlag (Jul. 2008)

Stefan Scherer, Mohamed Oubbati, Friedhelm Schwenker, Günther Palm: Real-time emotion recognition using echo state networks. International Tutorial and Research Workshop on Perception and Interactive Technologies for Speech-Based Systems. Springer Berlin Heidelberg (Jul. 2008)

Ulrich Weidenbacher, Heiko Neumann: The first spike counts: A model for STDP learning pose specific representations for estimating view direction. Journal of Vision. The Association for Research in Vision and Ophthalmology (Jun. 2008)

Stefan Scherer, Hansjörg Hofmann, Malte Lampmann, Martin Pfeil, Steffen Rhinow, Friedhelm Schwenker, Günther Palm: Emotion Recognition from Speech: Stress Experiment.. LREC. (Jun. 2008)

Ludwig Lausser, Friedhelm Schwenker, Günther Palm: Detecting zebra crossings utilizing AdaBoost.. ESANN. (May. 2008)

Axel Thielscher, Heiko Neumann: Globally consistent depth sorting of overlapping 2D surfaces in a model using local recurrent interactions. Biological Cybernetics. Springer Berlin/Heidelberg (May. 2008)

Heiko Neumann, Luiz Pessoa, Thorsten Hansen: Interaction of ON and OFF pathways for visual contrast measurement. Biological Cybernetics. Springer Berlin/Heidelberg (May. 2008)

Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm, James Franck Ring: Multi-view forests based on Dempster-Shafer evidence theory: A new classifier ensemble method. Proc. of the 5th IASTED Conference on Signal Processing, Pattern Recognition and Applications (SPPRA 2008). (Mar. 2008)

A. Thielscher, M. Kölle, Heiko Neumann, M. Spitzer, G. Grön: Texture segmentation in human perception: A combined modeling and fMRI study. Neuroscience. Pergamon (Mar. 2008)

Zöhre Kara Kayikci, Günther Palm: Word recognition and learning based on associative memories and hidden markov models. Computer. (Feb. 2008)

Zöhre Kara Kayikci, Günther Palm: Word recognition and incremental learning based on neural associative memories and hidden Markov models.. ESANN. (Jan. 2008)

Alexander Groß, Jan Friedland, Friedhelm Schwenker: Learning to play Tetris applying reinforcement learning methods.. ESANN. (Jan. 2008)

Petra-Maria Strauß, Holger Hoffmann, Wolfgang Minker, Heiko Neumann, Günther Palm, Stefan Scherer, Harald Christhelm Traue, Ulrich Weidenbacher: The PIT Corpus of German Multi-Party Dialogues. 6th ELRA Conf. on Language Resources and Evaluation, LREC 2008, May 28-30, 2008, Marrakech, Morroco. (Jan. 2008)

Ulrich Weidenbacher, Heiko Neumann: Unsupervised Learning of Head Pose through Spike-Timing Dependent Plasticity. Perception and Interactive Technologies, PIT 2008 (E Andrè et al., eds.), LNAI 5078. Springer (Jan. 2008)

F. Raudies, Heiko Neumann: Neural architecture of cortical motion feature detection, figure-ground segregation and selective visual attention. Perception ECVP abstract. Pion Ltd (Jan. 2008)

Christian Thiel, Ferdinando Giacco, Friedhelm Schwenker, Günther Palm: Comparison of Neural Classification Algorithms Applied to Land Cover Mapping.. WIRN. (Jan. 2008)

Elisabeth Andre, Laila Dybkjaer, Wolfgang Minker, Heiko Neumann, Roberto Pieraccini, Michael Weber: Perception in Multimodal Dialogue Systems-4th IEEE Tutorial and Research Workshop on Perception and Interactive Technologies for Speech-Based Systems, PIT 2008. Kloster Irsee …. Lecture Notes in Computer Science. (Jan. 2008)

Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi, Lionel Prevost, Simone Marinai, Friedhelm Schwenker: Artificial Neural Networks in Pattern Recognition: Third IAPR Workshop, ANNPR 2008 Paris, France, July 2-4, 2008 Proceedings. Springer-Verlag Berlin Heidelberg (Jan. 2008)

Stefan Scherer: Hofmann H. Lampmann M. Pfeil M. Rhinow S, Schwenker F. Palm G.“Emotion recognition from speech: stress experiment”, LREC08. (Jan. 2008)

Daniel Alexander Braun: Optimality Principles for Adaptation and Learning in Human Motor Control. (Jan. 2008)

Mohamed Farouk Abdel Hady, Günther Palm, Friedhelm Schwenker: Multi-View Forests of Tree-Structured Radial Basis Function Networks Based on Dempster-Shafer Evidence Theory.. ESANN. (Jan. 2008)

Stefan Scherer, Petra-Maria Strauß: A Flexible Wizard of Oz Environment for Rapid Prototyping.. LREC. (Jan. 2008)

S. J. Thorpe, H. Kirchner, S. Crouzet, P. Bayerl, Heiko Neumann: Processing times for optic flow patterns measured by the saccadic choice task. Perception ECVP abstract. Pion Ltd (Jan. 2008)

Lionel Prevost, Simone Marinai, Friedhelm Schwenker: Artificial neural networks in pattern recognition. Proc. of the 3rd IAPR Workshop, ANNPR. (Jan. 2008)

Florian Raudies, Heiko Neumann: Biologically Inspired Attentive Motion Analysis for Video Surveillance.. VISAPP (2). (Jan. 2008)

Elisabeth André, Laila Dybkjær, Heiko Neumann, Roberto Pieraccini, Michael Weber: Perception in Multimodal Dialogue Systems. Springer (Jan. 2008)

Ulrich Kaufmann, Günther Palm: Visual top-down attention framework for robots in dynamic environments. European Robotics Symposium 2008. Springer Berlin Heidelberg (Jan. 2008)

Stefan Scherer, Friedhelm Schwenker, Günther Palm: Emotion Recognition from Speech Using Multi-Classifier Systems and RBF-Ensembles. Speech, Audio, Image and Biomedical Signal Processing using Neural Networks. Springer Berlin Heidelberg (Jan. 2008)

N. Carranza, G. Cristóbal, P. Bayerl, Heiko Neumann: Motion estimation of magnetic resonance cardiac images using the Wigner-Ville and Hough transforms. Optics and Spectroscopy. Nauka/Interperiodica (2007)

Sylvain Fischer, Pierre Bayerl, Heiko Neumann, Rafael Redondo, Gabriel Cristóbal: Iterated tensor voting and curvature improvement. Signal processing. Elsevier (Dec. 2007)

Daniel Alexander Braun, Daniel M. Wolpert: Optimal control: When redundancy matters. Current Biology. Cell Press (Dec. 2007)

Heiko Neumann, Arash Yazdanbakhsh, Ennio Mingolla: Seeing surfaces: The braintitle = seeing surfaces: the brain's vision of the world#39;s vision of the world. Elsevier (Oct. 2007)

Hari Krishna Maganti, Stefan Scherer, Günther Palm: A novel feature for emotion recognition in voice based applications. International Conference on Affective Computing and Intelligent Interaction. Springer Berlin Heidelberg (Oct. 2007)

Christian Thiel, Stefan Scherer, Friedhelm Schwenker: Fuzzy-Input Fuzzy-Output One-Against-All Support Vector Machines. International Conference on Knowledge-Based and Intelligent Information and Engineering Systems. Springer Berlin/Heidelberg (Oct. 2007)

Stefan Ringbauer, Pierre Bayerl, Heiko Neumann: Neural mechanisms for mid-level optical flow pattern detection. International Conference on Artificial Neural Networks. Springer Berlin Heidelberg (Oct. 2007)

Mohamed Oubbati, Günther Palm: Neural Fields for Real-Time Navigation of an Omnidirectional Robot.. EMCR. (Oct. 2007)

Cornelia Beck, Thomas Gottbehuet, Heiko Neumann: Integration of multiple temporal and spatial scales for robust optic flow estimation in a biologically inspired algorithm. International Conference on Computer Analysis of Images and Patterns. Springer Berlin Heidelberg (Sep. 2007)

Zohre K. Kayikci, Heiner Markert, Günther Palm: Neural associative memories and Hidden Markov Models for speech recognition. Neural Networks, 2007. IJCNN 2007. International Joint Conference on. IEEE (Sep. 2007)

Daniel Alexander Braun, Ad Aertsen, Daniel Wolpert, Carsten Mehring: Structural Learning in Visuomotor Tasks with Randomly Changing Task Parameters. International Society of Motor Control, Mendes Convetion Center, Santos, São Paulo, Brazil http://demotu. org/pmcvi/ (Sep. 2007)

Pierre Bayerl, Heiko Neumann: A neural model of feature attention in motion perception. BioSystems. Elsevier (Jul. 2007)

Heiner Markert, Andreas Knoblauch, Günther Palm: Modelling of syntactical processing in the cortex. BioSystems. Elsevier (Jul. 2007)