A Layered Recurrent Neural Network for Feature Grouping. - Heiko Wersing; Jochen J. Steil; Helge J. Ritter (ICANN, 1997)

Feature binding and relaxation labeling with the competitive layer model. - Heiko Wersing; Helge J. Ritter (ESANN, 1999)

Spatial feature binding and learning in competitive neural layer architectures. - Heiko Wersing (Cuvillier, 2000)

Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. - Tim W. Nattkemper; Heiko Wersing; Helge J. Ritter; Walter Schubert (IJCNN (1), 2000)

Using Maximal Recurrence in Linear Threshold Competitive Layer Networks. - Heiko Wersing; Helge J. Ritter (ICANN, 2001)

Learning Lateral Interactions for Feature Binding and Sensory Segmentation. - Heiko Wersing (NIPS, 2001)

Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions. - Heiko Wersing; Wolf-Jürgen Beyn; Helge J. Ritter (Neural Comput., 2001)

A Competitive-Layer Model for Feature Binding and Sensory Segmentation. - Heiko Wersing; Jochen J. Steil; Helge J. Ritter (Neural Comput., 2001)

Unsupervised Learning of Combination Features for Hierarchical Recognition Models. - Heiko Wersing; Edgar Körner (ICANN, 2002)

A neural network architecture for automatic segmentation of fluorescence micrographs. - Tim W. Nattkemper; Heiko Wersing; Walter Schubert; Helge J. Ritter (Neurocomputing, 2002)

Sparse Coding with Invariance Constraints. - Heiko Wersing; Julian Eggert; Edgar Körner (ICANN, 2003)

Learning Optimized Features for Hierarchical Models of Invariant Object Recognition. - Heiko Wersing; Edgar Körner (Neural Comput., 2003)

A decision making framework for game playing using evolutionary optimization and learning. - Alexandro Mark; Bernhard Sendhoff; Heiko Wersing (IEEE Congress on Evolutionary Computation, 2004)

Transformation-invariant representation and NMF. - Julian Eggert; Heiko Wersing; Edgar Körner (IJCNN, 2004)

Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model. - Georg Schneider 003; Heiko Wersing; Bernhard Sendhoff; Edgar Körner (PPSN, 2004)

A computational feature binding model of human texture perception. - Jörg Ontrup; Heiko Wersing; Helge J. Ritter (Cogn. Process., 2004)

Co-evolutionary modular neural networks for automatic problem decomposition. - Vineet R. Khare; Xin Yao 001; Bernhard Sendhoff; Yaochu Jin; Heiko Wersing (Congress on Evolutionary Computation, 2005)

Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture. - Stephan Kirstein; Heiko Wersing; Edgar Körner (DAGM-Symposium, 2005)

Peripersonal space and object recognition for humanoids. - Christian Goerick; Heiko Wersing; Inna Mikhailova; Mark Dunn (Humanoids, 2005)

Class-Specific Sparse Coding for Learning of Object Representations. - Stephan Hasler; Heiko Wersing; Edgar Körner (ICANN (1), 2005)

Online Learning for Object Recognition with a Hierarchical Visual Cortex Model. - Stephan Kirstein; Heiko Wersing; Edgar Körner (ICANN (1), 2005)

Evolutionary optimization of a hierarchical object recognition model. - Georg Schneider 003; Heiko Wersing; Bernhard Sendhoff; Edgar Körner (IEEE Trans. Syst. Man Cybern. Part B, 2005)

Adaptive scene-dependent filters in online learning environments. - Michael Götting; Jochen J. Steil; Heiko Wersing; Edgar Körner; Helge J. Ritter (ESANN, 2006)

Recent trends in online learning for cognitive robots. - Jochen J. Steil; Heiko Wersing (ESANN, 2006)

Biologically motivated visual behaviors for humanoids: Learning to interact and learning in interaction. - Christian Goerick; Inna Mikhailova; Heiko Wersing; Stephan Kirstein (Humanoids, 2006)

A Biologically Motivated System for Unconstrained Online Learning of Visual Objects. - Heiko Wersing; Stephan Kirstein; Michael Götting; Holger Brandl; Mark Dunn; Inna Mikhailova; Christian Goerick; Jochen J. Steil; Helge J. Ritter; Edgar Körner (ICANN (2), 2006)

Learning lateral interactions for feature binding and sensory segmentation from prototypic basis interactions. - Sebastian Weng; Heiko Wersing; Jochen J. Steil; Helge J. Ritter (IEEE Trans. Neural Networks, 2006)

A hierarchical model for syllable recognition. - Xavier Domont; Martin Heckmann; Heiko Wersing; Frank Joublin; Christian Goerick (ESANN, 2007)

Towards incremental hierarchical behavior generation for humanoids. - Christian Goerick; Bram Bolder; Herbert Janssen; Michael Gienger; Hisashi Sugiura; Mark Dunn; Inna Mikhailova; Tobias Rodemann; Heiko Wersing; Stephan Kirstein (Humanoids, 2007)

A Comparison of Features in Parts-Based Object Recognition Hierarchies. - Stephan Hasler; Heiko Wersing; Edgar Körner (ICANN (2), 2007)

Word Recognition with a Hierarchical Neural Network. - Xavier Domont; Martin Heckmann; Heiko Wersing; Frank Joublin; Stefan Menzel; Bernhard Sendhoff; Christian Goerick (NOLISP, 2007)

Online Learning of Objects in a Biologically Motivated Visual Architecture. - Heiko Wersing; Stephan Kirstein; Michael Götting; Holger Brandl; Mark Dunn; Inna Mikhailova; Christian Goerick; Jochen J. Steil; Helge J. Ritter; Edgar Körner (Int. J. Neural Syst., 2007)

Adaptive scene dependent filters for segmentation and online learning of visual objects. - Jochen J. Steil; Michael Götting; Heiko Wersing; Edgar Körner; Helge J. Ritter (Neurocomputing, 2007)

Combining Reconstruction and Discrimination with Class-Specific Sparse Coding. - Stephan Hasler; Heiko Wersing; Edgar Körner (Neural Comput., 2007)

Robust object segmentation by adaptive metrics in Generalized LVQ. - Alexander Denecke; Heiko Wersing; Jochen J. Steil; Edgar Körner (ESANN, 2008)

A Vector Quantization Approach for Life-Long Learning of Categories. - Stephan Kirstein; Heiko Wersing; Horst-Michael Gross; Edgar Körner (ICONIP (1), 2008)

An Integrated System for Incremental Learning of Multiple Visual Categories. - Stephan Kirstein; Heiko Wersing; Horst-Michael Gross; Edgar Körner (ICONIP (1), 2008)

Online Learning for Bootstrapping of Object Recognition and Localization in a Biologically Motivated Architecture. - Heiko Wersing; Stephan Kirstein; Bernd Schneiders; Ute Bauer-Wersing; Edgar Körner (ICVS, 2008)

Unsupervised extraction of design components for a 3D parts-based representation. - Zdravko Bozakov; Lars Gräning; Stephan Hasler; Heiko Wersing; Stefan Menzel (IJCNN, 2008)

A biologically motivated visual memory architecture for online learning of objects. - Stephan Kirstein; Heiko Wersing; Edgar Körner (Neural Networks, 2008)

Large-Scale Real-Time Object Identification Based on Analytic Features. - Stephan Hasler; Heiko Wersing; Stephan Kirstein; Edgar Körner (ICANN (2), 2009)

Feedback interpretation based on facial expressions in human-robot interaction. - Christian Lang 002; Marc Hanheide; Manja Lohse; Heiko Wersing; Gerhard Sagerer (RO-MAN, 2009)

Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ. - Alexander Denecke; Heiko Wersing; Jochen J. Steil; Edgar Körner (WSOM, 2009)

Online figure-ground segmentation with adaptive metrics in generalized LVQ. - Alexander Denecke; Heiko Wersing; Jochen J. Steil; Edgar Körner (Neurocomputing, 2009)

A vision architecture for unconstrained and incremental learning of multiple categories. - Stephan Kirstein; Alexander Denecke; Stephan Hasler; Heiko Wersing; Horst-Michael Gross; Edgar Körner (Memetic Comput., 2009)

A Model for Learning Topographically Organized Parts-Based Representations of Objects in Visual Cortex: Topographic Nonnegative Matrix Factorization. - Kenji Hosoda; Masataka Watanabe; Heiko Wersing; Edgar Körner; Hiroshi Tsujino; Hiroshi Tamura; Ichiro Fujita (Neural Comput., 2009)

Approaches and Challenges for Cognitive Vision Systems. - Julian Eggert; Heiko Wersing (Creating Brain-Like Intelligence, 2009)

Facial expressions as feedback cue in human-robot interaction - a comparison between human and automatic recognition performances. - Christian Lang 002; Sven Wachsmuth; Heiko Wersing; Marc Hanheide (CVPR Workshops, 2010)

Figure-ground Segmentation using Metrics Adaptation in Level Set Methods. - Alexander Denecke; Irene Ayllón Clemente; Heiko Wersing; Julian Eggert; Jochen Jakob Steil (ESANN, 2010)

Finding correlations in multimodal data using decomposition approaches. - Daniel Dornbusch; Robert Haschke; Stefan Menzel; Heiko Wersing (ESANN, 2010)

Correlating Shape and Functional Properties Using Decomposition Approaches. - Daniel Dornbusch; Robert Haschke; Stefan Menzel; Heiko Wersing (FLAIRS, 2010)

Learning Invariant Visual Shape Representations from Physics. - Mathias Franzius; Heiko Wersing (ICANN (3), 2010)

An iterative approach to local-PCA. - Samuel John; Heiko Wersing; Helge J. Ritter (IJCNN, 2010)

Towards autonomous bootstrapping for life-long learning categorization tasks. - Stephan Kirstein; Heiko Wersing; Edgar Körner (IJCNN, 2010)

System approach for multi-purpose representations of traffic scene elements. - Jens Schmüdderich; Nils Einecke; Stephan Hasler; Alexander Gepperth; Bram Bolder; Robert Kastner; Mathias Franzius; Sven Rebhan; Benjamin Dittes; Heiko Wersing; Julian Eggert; Jannik Fritsch; et al. (ITSC, 2010)

A biologically inspired approach for interactive learning of categories. - Stephan Kirstein; Heiko Wersing (ICDL-EPIROB, 2011)

Active 3D Object Localization Using a Humanoid Robot. - Alexander Andreopoulos; Stephan Hasler; Heiko Wersing; Herbert Janssen; John K. Tsotsos; Edgar Körner (IEEE Trans. Robotics, 2011)

Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps. - Daniel Dornbusch; Robert Haschke; Stefan Menzel; Heiko Wersing (ICPRAM (2), 2012)

Facial Communicative Signals - Valence Recognition in Task-Oriented Human-Robot Interaction. - Christian Lang 002; Sven Wachsmuth; Marc Hanheide; Heiko Wersing (Int. J. Soc. Robotics, 2012)

A life-long learning vector quantization approach for interactive learning of multiple categories. - Stephan Kirstein; Heiko Wersing; Horst-Michael Gross; Edgar Körner (Neural Networks, 2012)

Facial communicative signal interpretation in human-robot interaction by discriminative video subsequence selection. - Christian Lang 002; Sven Wachsmuth; Marc Hanheide; Heiko Wersing (ICRA, 2013)

Rejection strategies for learning vector quantization. - Lydia Fischer; Barbara Hammer; Heiko Wersing (ESANN, 2014)

Local Rejection Strategies for Learning Vector Quantization. - Lydia Fischer; Barbara Hammer; Heiko Wersing (ICANN, 2014)

Rejection Strategies for Learning Vector Quantization - A Comparison of Probabilistic and Deterministic Approaches. - Lydia Fischer; David Nebel; Thomas Villmann; Barbara Hammer; Heiko Wersing (WSOM, 2014)

Certainty-based prototype insertion/deletion for classification with metric adaptation. - Lydia Fischer; Barbara Hammer; Heiko Wersing (ESANN, 2015)

Combining offline and online classifiers for life-long learning. - Lydia Fischer; Barbara Hammer; Heiko Wersing (IJCNN, 2015)

Interactive online learning for obstacle classification on a mobile robot. - Viktor Losing; Barbara Hammer; Heiko Wersing (IJCNN, 2015)

Optimum Reject Options for Prototype-based Classification. - Lydia Fischer; Barbara Hammer; Heiko Wersing (CoRR, 2015)

Efficient rejection strategies for prototype-based classification. - Lydia Fischer; Barbara Hammer; Heiko Wersing (Neurocomputing, 2015)

Assistance-On-Demand: a Speech-Based Assistance System for Urban Intersections. - Nadja Schömig; Martin Heckmann; Heiko Wersing; Christian Maag; Alexandra Neukum (AutomotiveUI (adjunct), 2016)

Choosing the best algorithm for an incremental on-line learning task. - Viktor Losing; Barbara Hammer; Heiko Wersing (ESANN, 2016)

KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift. - Viktor Losing; Barbara Hammer; Heiko Wersing (ICDM, 2016)

Online metric learning for an adaptation to confidence drift. - Lydia Fischer; Barbara Hammer; Heiko Wersing (IJCNN, 2016)

Optimal local rejection for classifiers. - Lydia Fischer; Barbara Hammer; Heiko Wersing (Neurocomputing, 2016)

From Tools Towards Cooperative Assistants. - Matti Krüger; Christiane B. Wiebel; Heiko Wersing (HAI, 2017)

Self-Adjusting Memory: How to Deal with Diverse Drift Types. - Viktor Losing; Barbara Hammer; Heiko Wersing (IJCAI, 2017)

Personalization in advanced driver assistance systems and autonomous vehicles: A review. - Martina Hasenjäger; Heiko Wersing (ITSC, 2017)

Personalized maneuver prediction at intersections. - Viktor Losing; Barbara Hammer; Heiko Wersing (ITSC, 2017)

Approach for Enhancing the Perception and Prediction of Traffic Dynamics with a Tactile Interface. - Matti Krüger; Heiko Wersing; Christiane B. Wiebel-Herboth (AutomotiveUI (adjunct), 2018)

Efficient accuracy estimation for instance-based incremental active learning. - Christian Limberg; Heiko Wersing; Helge J. Ritter (ESANN, 2018)

Mitigating Concept Drift via Rejection. - Jan Philip Göpfert; Barbara Hammer; Heiko Wersing (ICANN (1), 2018)

Improving Active Learning by Avoiding Ambiguous Samples. - Christian Limberg; Heiko Wersing; Helge J. Ritter (ICANN (1), 2018)

Enhancing Very Fast Decision Trees with Local Split-Time Predictions. - Viktor Losing; Heiko Wersing; Barbara Hammer (ICDM, 2018)

Incremental on-line learning: A review and comparison of state of the art algorithms. - Viktor Losing; Barbara Hammer; Heiko Wersing (Neurocomputing, 2018)

Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM). - Viktor Losing; Barbara Hammer; Heiko Wersing (Knowl. Inf. Syst., 2018)

Recovering Localized Adversarial Attacks. - Jan Philip Göpfert; Heiko Wersing; Barbara Hammer (ICANN (1), 2019)

Active Learning for Image Recognition Using a Visualization-Based User Interface. - Christian Limberg; Kathrin Krieger; Heiko Wersing; Helge J. Ritter (ICANN (2), 2019)

Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units. - Viktor Losing; Taizo Yoshikawa; Martina Hasenjäger; Barbara Hammer; Heiko Wersing (ICRA, 2019)

Adversarial attacks hidden in plain sight. - Jan Philip Göpfert; Heiko Wersing; Barbara Hammer (CoRR, 2019)

The Lateral Line: Augmenting Spatiotemporal Perception with a Tactile Interface. - Matti Krüger; Christiane B. Wiebel-Herboth; Heiko Wersing (AHs, 2020)

Locally Adaptive Nearest Neighbors. - Jan Philip Göpfert; Heiko Wersing; Barbara Hammer (ESANN, 2020)

Prototype-Based Online Learning on Homogeneously Labeled Streaming Data. - Christian Limberg; Jan Philip Göpfert; Heiko Wersing; Helge J. Ritter (ICANN (2), 2020)

Cooperative Intelligence - A Humane Perspective. - Bernhard Sendhoff; Heiko Wersing (ICHMS, 2020)

Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot. - Christian Limberg; Heiko Wersing; Helge J. Ritter (ICONIP (2), 2020)

Adversarial Attacks Hidden in Plain Sight. - Jan Philip Göpfert; André Artelt; Heiko Wersing; Barbara Hammer (IDA, 2020)

Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift. - Viktor Losing; Barbara Hammer; Heiko Wersing; Albert Bifet (IJCNN, 2020)

Feeling Uncertain - Effects of a Vibrotactile Belt that Communicates Vehicle Sensor Uncertainty. - Matti Krüger; Tom Driessen; Christiane B. Wiebel-Herboth; Joost C. F. de Winter; Heiko Wersing (Inf., 2020)

Beyond Cross-Validation - Accuracy Estimation for Incremental and Active Learning Models. - Christian Limberg; Heiko Wersing; Helge J. Ritter (Mach. Learn. Knowl. Extr., 2020)

A Survey of Personalization for Advanced Driver Assistance Systems. - Martina Hasenjäger; Martin Heckmann; Heiko Wersing (IEEE Trans. Intell. Veh., 2020)

Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning. - Hendric Voß; Heiko Wersing; Stefan Kopp (ICMI Companion, 2021)

Leveraging Inter-step Dependencies for Information Extraction from Procedural Task Instructions. - Nima Nabizadeh; Heiko Wersing; Dorothea Kolossa (TDS, 2021)

Interpretable Locally Adaptive Nearest Neighbors. - Jan Philip Göpfert; Heiko Wersing; Barbara Hammer (Neurocomputing, 2022)

Intuitiveness in Active Teaching. - Jan Philip Göpfert; Ulrike Kuhl; Lukas Hindemith; Heiko Wersing; Barbara Hammer (IEEE Trans. Hum. Mach. Syst., 2022)

The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering Systems. - Judith Sieker; Simeon Junker; Ronja Utescher; Nazia Attari; Heiko Wersing; Hendrik Buschmeier; Sina Zarrieß (EMNLP, 2024)

Reducing Mental Model Mismatch with Intention-Based Feedback in Human-Robot Teaching. - Phillip Richter; Heiko Wersing; Anna-Lisa Vollmer (HAI, 2024)

To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions. - Daniel Tanneberg; Felix Ocker; Stephan Hasler; Joerg Deigmoeller; Anna Belardinelli; Chao Wang 055; Heiko Wersing; Bernhard Sendhoff; Michael Gienger (IROS, 2024)

What you need to know about a learning robot: Identifying the enabling architecture of complex systems. - Helen Beierling; Phillip Richter; Mara Brandt; Lutz Terfloth; Carsten Schulte 001; Heiko Wersing; Anna-Lisa Vollmer (Cogn. Syst. Res., 2024)

"Teach Me About Objects!" - Experience-Driven Interaction for Teachable Robots. - Tuan Vu Pham; Chao Wang 055; Heiko Wersing; Marc Hassenzahl (Conference on Designing Interactive Systems, 2025)

AURORA: A Platform for Advanced User-Driven Robotics Online Research and Assessment. - Phillip Richter; Markus Rothgänger; Arthur Maximilian Noller; Heiko Wersing; Sven Wachsmuth; Anna-Lisa Vollmer (HRI, 2025)

Improving Human-Robot Teaching by Quantifying and Reducing Mental Model Mismatch. - Phillip Richter; Heiko Wersing; Anna-Lisa Vollmer (CoRR, 2025)