| 2026 | HRI | A Comparative Assessment of the Social Robots Blossom and Miroka using ASAQ and ASOR. | Phillip Richter, Kira Sophie Loos, Josef El Dib, Mara Brandt, Heiko Wersing, Anna-Lisa Vollmer |
| 2025 | HRI | AURORA: A Platform for Advanced User-Driven Robotics Online Research and Assessment. | Phillip Richter, Markus Rothgnger, Arthur Maximilian Noller, Heiko Wersing, Sven Wachsmuth, Anna-Lisa Vollmer |
| 2024 | EMNLP | 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 Zarrie |
| 2024 | HAI | Reducing Mental Model Mismatch with Intention-Based Feedback in Human-Robot Teaching. | Phillip Richter, Heiko Wersing, Anna-Lisa Vollmer |
| 2024 | IROS | 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, Heiko Wersing, Bernhard Sendhoff, Michael Gienger |
| 2021 | ICMI | Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning. | Hendric Vo, Heiko Wersing, Stefan Kopp |
| 2020 | ESANN | Locally Adaptive Nearest Neighbors. | Jan Philip Gpfert, Heiko Wersing, Barbara Hammer |
| 2020 | ICANN | Prototype-Based Online Learning on Homogeneously Labeled Streaming Data. | Christian Limberg, Jan Philip Gpfert, Heiko Wersing, Helge J. Ritter |
| 2020 | ICONIP | Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot. | Christian Limberg, Heiko Wersing, Helge J. Ritter |
| 2020 | IJCNN | Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift. | Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet |
| 2020 | IDA | Adversarial Attacks Hidden in Plain Sight. | Jan Philip Gpfert, Andr Artelt, Heiko Wersing, Barbara Hammer |
| 2019 | ICANN | Recovering Localized Adversarial Attacks. | Jan Philip Gpfert, Heiko Wersing, Barbara Hammer |
| 2019 | ICANN | Active Learning for Image Recognition Using a Visualization-Based User Interface. | Christian Limberg, Kathrin Krieger, Heiko Wersing, Helge J. Ritter |
| 2019 | ICRA | Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units. | Viktor Losing, Taizo Yoshikawa, Martina Hasenjger, Barbara Hammer, Heiko Wersing |
| 2018 | ESANN | Efficient accuracy estimation for instance-based incremental active learning. | Christian Limberg, Heiko Wersing, Helge J. Ritter |
| 2018 | ICANN | Mitigating Concept Drift via Rejection. | Jan Philip Gpfert, Barbara Hammer, Heiko Wersing |
| 2018 | ICANN | Improving Active Learning by Avoiding Ambiguous Samples. | Christian Limberg, Heiko Wersing, Helge J. Ritter |
| 2018 | ICDM | Enhancing Very Fast Decision Trees with Local Split-Time Predictions. | Viktor Losing, Heiko Wersing, Barbara Hammer |
| 2017 | HAI | From Tools Towards Cooperative Assistants. | Matti Krger, Christiane B. Wiebel, Heiko Wersing |
| 2017 | IJCAI | Self-Adjusting Memory: How to Deal with Diverse Drift Types. | Viktor Losing, Barbara Hammer, Heiko Wersing |
| 2016 | ESANN | Choosing the best algorithm for an incremental on-line learning task. | Viktor Losing, Barbara Hammer, Heiko Wersing |
| 2016 | ICDM | KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift. | Viktor Losing, Barbara Hammer, Heiko Wersing |
| 2016 | IJCNN | Online metric learning for an adaptation to confidence drift. | Lydia Fischer, Barbara Hammer, Heiko Wersing |
| 2015 | ESANN | Certainty-based prototype insertion/deletion for classification with metric adaptation. | Lydia Fischer, Barbara Hammer, Heiko Wersing |
| 2015 | IJCNN | Combining offline and online classifiers for life-long learning. | Lydia Fischer, Barbara Hammer, Heiko Wersing |
| 2015 | IJCNN | Interactive online learning for obstacle classification on a mobile robot. | Viktor Losing, Barbara Hammer, Heiko Wersing |
| 2014 | ESANN | Rejection strategies for learning vector quantization. | Lydia Fischer, Barbara Hammer, Heiko Wersing |
| 2014 | ICANN | Local Rejection Strategies for Learning Vector Quantization. | Lydia Fischer, Barbara Hammer, Heiko Wersing |
| 2013 | ICRA | Facial communicative signal interpretation in human-robot interaction by discriminative video subsequence selection. | Christian Lang, Sven Wachsmuth, Marc Hanheide, Heiko Wersing |
| 2012 | ICPRAM | Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps. | Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing |
| 2010 | CVPR | Facial expressions as feedback cue in human-robot interaction - a comparison between human and automatic recognition performances. | Christian Lang, Sven Wachsmuth, Heiko Wersing, Marc Hanheide |
| 2010 | ESANN | Figure-ground Segmentation using Metrics Adaptation in Level Set Methods. | Alexander Denecke, Irene Aylln Clemente, Heiko Wersing, Julian Eggert, Jochen Jakob Steil |
| 2010 | ESANN | Finding correlations in multimodal data using decomposition approaches. | Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing |
| 2010 | FlAIRS | Correlating Shape and Functional Properties Using Decomposition Approaches. | Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing |
| 2010 | ICANN | Learning Invariant Visual Shape Representations from Physics. | Mathias Franzius, Heiko Wersing |
| 2010 | IJCNN | An iterative approach to local-PCA. | Samuel John, Heiko Wersing, Helge J. Ritter |
| 2010 | IJCNN | Towards autonomous bootstrapping for life-long learning categorization tasks. | Stephan Kirstein, Heiko Wersing, Edgar Krner |
| 2009 | ICANN | Large-Scale Real-Time Object Identification Based on Analytic Features. | Stephan Hasler, Heiko Wersing, Stephan Kirstein, Edgar Krner |
| 2009 | RO-MAN | Feedback interpretation based on facial expressions in human-robot interaction. | Christian Lang, Marc Hanheide, Manja Lohse, Heiko Wersing, Gerhard Sagerer |
| 2008 | ESANN | Robust object segmentation by adaptive metrics in Generalized LVQ. | Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Krner |
| 2008 | ICONIP | A Vector Quantization Approach for Life-Long Learning of Categories. | Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, Edgar Krner |
| 2008 | ICONIP | An Integrated System for Incremental Learning of Multiple Visual Categories. | Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, Edgar Krner |
| 2008 | IJCNN | Unsupervised extraction of design components for a 3D parts-based representation. | Zdravko Bozakov, Lars Grning, Stephan Hasler, Heiko Wersing, Stefan Menzel |
| 2008 | ICVS | Online Learning for Bootstrapping of Object Recognition and Localization in a Biologically Motivated Architecture. | Heiko Wersing, Stephan Kirstein, Bernd Schneiders, Ute Bauer-Wersing, Edgar Krner |
| 2007 | ESANN | A hierarchical model for syllable recognition. | Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Christian Goerick |
| 2007 | ICANN | A Comparison of Features in Parts-Based Object Recognition Hierarchies. | Stephan Hasler, Heiko Wersing, Edgar Krner |
| 2006 | ESANN | Adaptive scene-dependent filters in online learning environments. | Michael Gtting, Jochen J. Steil, Heiko Wersing, Edgar Krner, Helge J. Ritter |
| 2006 | ESANN | Recent trends in online learning for cognitive robots. | Jochen J. Steil, Heiko Wersing |
| 2006 | ICANN | A Biologically Motivated System for Unconstrained Online Learning of Visual Objects. | Heiko Wersing, Stephan Kirstein, Michael Gtting, Holger Brandl, Mark Dunn, Inna Mikhailova, Christian Goerick, Jochen J. Steil, Helge J. Ritter, Edgar Krner |
| 2005 | CEC | Co-evolutionary modular neural networks for automatic problem decomposition. | Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing |
| 2005 | ICANN | Class-Specific Sparse Coding for Learning of Object Representations. | Stephan Hasler, Heiko Wersing, Edgar Krner |
| 2005 | ICANN | Online Learning for Object Recognition with a Hierarchical Visual Cortex Model. | Stephan Kirstein, Heiko Wersing, Edgar Krner |
| 2004 | CEC | A decision making framework for game playing using evolutionary optimization and learning. | Alexandro Mark, Bernhard Sendhoff, Heiko Wersing |
| 2004 | IJCNN | Transformation-invariant representation and NMF. | Julian Eggert, Heiko Wersing, Edgar Krner |
| 2004 | PPSN | Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model. | Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Krner |
| 2003 | ICANN | Sparse Coding with Invariance Constraints. | Heiko Wersing, Julian Eggert, Edgar Krner |
| 2002 | ICANN | Unsupervised Learning of Combination Features for Hierarchical Recognition Models. | Heiko Wersing, Edgar Krner |
| 2001 | ICANN | Using Maximal Recurrence in Linear Threshold Competitive Layer Networks. | Heiko Wersing, Helge J. Ritter |
| 2000 | ESANN | A neural network architecture for automatic segmentation of fluorescence micrographs. | Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge J. Ritter |
| 2000 | IJCNN | Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. | Tim W. Nattkemper, Heiko Wersing, Helge J. Ritter, Walter Schubert |
| 1999 | ESANN | Feature binding and relaxation labeling with the competitive layer model. | Heiko Wersing, Helge J. Ritter |
| 1997 | ICANN | A Layered Recurrent Neural Network for Feature Grouping. | Heiko Wersing, Jochen J. Steil, Helge J. Ritter |