Heiko Wersing - RankMe

120 papers A* 7A 3B 27C 6Misc 1Journal 38Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	A Comparative Assessment of the Social Robots Blossom and Miroka using ASAQ and ASOR. HRI Companion Phillip Richter, Kira Sophie Loos, Josef El Dib, Mara Brandt, Heiko Wersing, Anna-Lisa Vollmer
2025	A	`conf`	"Teach Me About Objects!" - Experience-Driven Interaction for Teachable Robots. Conference on Designing Interactive Systems Tuan Vu Pham, Chao Wang, Heiko Wersing, Marc Hassenzahl
2025	A*	`conf`	AURORA: A Platform for Advanced User-Driven Robotics Online Research and Assessment. HRI Phillip Richter, Markus Rothgänger, Arthur Maximilian Noller, Heiko Wersing, Sven Wachsmuth, Anna-Lisa Vollmer
2025	J	`jnl`	Improving HRI Through Robot Architecture Transparency. Int. J. Soc. Robotics Lukas Hindemith, Christiane B. Wiebel-Herboth, Heiko Wersing, Britta Wrede, Anna-Lisa Vollmer
2025	J	`jnl`	Improving Human-Robot Teaching by Quantifying and Reducing Mental Model Mismatch. CoRR Phillip Richter, Heiko Wersing, Anna-Lisa Vollmer
2024	B	`conf`	Reducing Mental Model Mismatch with Intention-Based Feedback in Human-Robot Teaching. HAI Phillip Richter, Heiko Wersing, Anna-Lisa Vollmer
2024	A*	`conf`	The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering Systems. EMNLP Judith Sieker, Simeon Junker, Ronja Utescher, Nazia Attari, Heiko Wersing, Hendrik Buschmeier, Sina Zarrieß
2024	J	`jnl`	The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering Systems. CoRR Judith Sieker, Simeon Junker, Ronja Utescher, Nazia Attari, Heiko Wersing, Hendrik Buschmeier, Sina Zarrieß
2024	A	`conf`	To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions. IROS Daniel Tanneberg, Felix Ocker, Stephan Hasler, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Heiko Wersing, Bernhard Sendhoff, Michael Gienger
2024	J	`jnl`	To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions. CoRR Daniel Tanneberg, Felix Ocker, Stephan Hasler, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Heiko Wersing, Bernhard Sendhoff, Michael Gienger
2024	J	`jnl`	What you need to know about a learning robot: Identifying the enabling architecture of complex systems. Cogn. Syst. Res. Helen Beierling, Phillip Richter, Mara Brandt, Lutz Terfloth, Carsten Schulte, Heiko Wersing, Anna-Lisa Vollmer
2023	J	`jnl`	What you need to know about a learning robot: Identifying the enabling architecture of complex systems. CoRR Helen Beierling, Phillip Richter, Mara Brandt, Lutz Terfloth, Carsten Schulte, Heiko Wersing, Anna-Lisa Vollmer
2022	J	`jnl`	Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning. CoRR Hendric Voß, Heiko Wersing, Stefan Kopp
2022	J	`jnl`	Interpretable Locally Adaptive Nearest Neighbors. Neurocomputing Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
2022	J	`jnl`	Intuitiveness in Active Teaching. IEEE Trans. Hum. Mach. Syst. Jan Philip Göpfert, Ulrike Kuhl, Lukas Hindemith, Heiko Wersing, Barbara Hammer
2021	—	`conf`	Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning. ICMI Companion Hendric Voß, Heiko Wersing, Stefan Kopp
2021	—	`conf`	Leveraging Inter-step Dependencies for Information Extraction from Procedural Task Instructions. TDS Nima Nabizadeh, Heiko Wersing, Dorothea Kolossa
2020	J	`jnl`	A Survey of Personalization for Advanced Driver Assistance Systems. IEEE Trans. Intell. Veh. Martina Hasenjäger, Martin Heckmann, Heiko Wersing
2020	—	`conf`	Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot. ICONIP (2) Christian Limberg, Heiko Wersing, Helge J. Ritter
2020	B	`conf`	Adversarial Attacks Hidden in Plain Sight. IDA Jan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer
2020	J	`jnl`	Beyond Cross-Validation - Accuracy Estimation for Incremental and Active Learning Models. Mach. Learn. Knowl. Extr. Christian Limberg, Heiko Wersing, Helge J. Ritter
2020	—	`conf`	Cooperative Intelligence - A Humane Perspective. ICHMS Bernhard Sendhoff, Heiko Wersing
2020	J	`jnl`	Feeling Uncertain - Effects of a Vibrotactile Belt that Communicates Vehicle Sensor Uncertainty. Inf. Matti Krüger, Tom Driessen, Christiane B. Wiebel-Herboth, Joost C. F. de Winter, Heiko Wersing
2020	J	`jnl`	Intuitiveness in Active Teaching. CoRR Jan Philip Göpfert, Ulrike Kuhl, Lukas Hindemith, Heiko Wersing, Barbara Hammer
2020	B	`conf`	Locally Adaptive Nearest Neighbors. ESANN Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
2020	J	`jnl`	Locally Adaptive Nearest Neighbors. CoRR Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
2020	—	`conf`	Prototype-Based Online Learning on Homogeneously Labeled Streaming Data. ICANN (2) Christian Limberg, Jan Philip Göpfert, Heiko Wersing, Helge J. Ritter
2020	B	`conf`	Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift. IJCNN Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet
2020	—	`conf`	The Lateral Line: Augmenting Spatiotemporal Perception with a Tactile Interface. AHs Matti Krüger, Christiane B. Wiebel-Herboth, Heiko Wersing
2019	—	`conf`	Active Learning for Image Recognition Using a Visualization-Based User Interface. ICANN (2) Christian Limberg, Kathrin Krieger, Heiko Wersing, Helge J. Ritter
2019	J	`jnl`	Adversarial attacks hidden in plain sight. CoRR Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
2019	A*	`conf`	Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units. ICRA Viktor Losing, Taizo Yoshikawa, Martina Hasenjäger, Barbara Hammer, Heiko Wersing
2019	—	`conf`	Recovering Localized Adversarial Attacks. ICANN (1) Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
2019	J	`jnl`	Recovering Localized Adversarial Attacks. CoRR Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
2018	—	`conf`	Approach for Enhancing the Perception and Prediction of Traffic Dynamics with a Tactile Interface. AutomotiveUI (adjunct) Matti Krüger, Heiko Wersing, Christiane B. Wiebel-Herboth
2018	B	`conf`	Efficient accuracy estimation for instance-based incremental active learning. ESANN Christian Limberg, Heiko Wersing, Helge J. Ritter
2018	A*	`conf`	Enhancing Very Fast Decision Trees with Local Split-Time Predictions. ICDM Viktor Losing, Heiko Wersing, Barbara Hammer
2018	—	`conf`	Improving Active Learning by Avoiding Ambiguous Samples. ICANN (1) Christian Limberg, Heiko Wersing, Helge J. Ritter
2018	J	`jnl`	Incremental on-line learning: A review and comparison of state of the art algorithms. Neurocomputing Viktor Losing, Barbara Hammer, Heiko Wersing
2018	—	`conf`	Mitigating Concept Drift via Rejection. ICANN (1) Jan Philip Göpfert, Barbara Hammer, Heiko Wersing
2018	J	`jnl`	Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM). Knowl. Inf. Syst. Viktor Losing, Barbara Hammer, Heiko Wersing
2017	B	`conf`	From Tools Towards Cooperative Assistants. HAI Matti Krüger, Christiane B. Wiebel, Heiko Wersing
2017	—	`conf`	Personalization in advanced driver assistance systems and autonomous vehicles: A review. ITSC Martina Hasenjäger, Heiko Wersing
2017	—	`conf`	Personalized maneuver prediction at intersections. ITSC Viktor Losing, Barbara Hammer, Heiko Wersing
2017	A*	`conf`	Self-Adjusting Memory: How to Deal with Diverse Drift Types. IJCAI Viktor Losing, Barbara Hammer, Heiko Wersing
2016	—	`conf`	Assistance-On-Demand: a Speech-Based Assistance System for Urban Intersections. AutomotiveUI (adjunct) Nadja Schömig, Martin Heckmann, Heiko Wersing, Christian Maag, Alexandra Neukum
2016	B	`conf`	Choosing the best algorithm for an incremental on-line learning task. ESANN Viktor Losing, Barbara Hammer, Heiko Wersing
2016	A*	`conf`	KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift. ICDM Viktor Losing, Barbara Hammer, Heiko Wersing
2016	B	`conf`	Online metric learning for an adaptation to confidence drift. IJCNN Lydia Fischer, Barbara Hammer, Heiko Wersing
2016	J	`jnl`	Optimal local rejection for classifiers. Neurocomputing Lydia Fischer, Barbara Hammer, Heiko Wersing
2015	B	`conf`	Certainty-based prototype insertion/deletion for classification with metric adaptation. ESANN Lydia Fischer, Barbara Hammer, Heiko Wersing
2015	B	`conf`	Combining offline and online classifiers for life-long learning. IJCNN Lydia Fischer, Barbara Hammer, Heiko Wersing
2015	J	`jnl`	Efficient rejection strategies for prototype-based classification. Neurocomputing Lydia Fischer, Barbara Hammer, Heiko Wersing
2015	B	`conf`	Interactive online learning for obstacle classification on a mobile robot. IJCNN Viktor Losing, Barbara Hammer, Heiko Wersing
2015	J	`jnl`	Optimum Reject Options for Prototype-based Classification. CoRR Lydia Fischer, Barbara Hammer, Heiko Wersing
2014	C	`conf`	Local Rejection Strategies for Learning Vector Quantization. ICANN Lydia Fischer, Barbara Hammer, Heiko Wersing
2014	—	`conf`	Rejection Strategies for Learning Vector Quantization - A Comparison of Probabilistic and Deterministic Approaches. WSOM Lydia Fischer, David Nebel, Thomas Villmann, Barbara Hammer, Heiko Wersing
2014	B	`conf`	Rejection strategies for learning vector quantization. ESANN Lydia Fischer, Barbara Hammer, Heiko Wersing
2013	A*	`conf`	Facial communicative signal interpretation in human-robot interaction by discriminative video subsequence selection. ICRA Christian Lang, Sven Wachsmuth, Marc Hanheide, Heiko Wersing
2012	J	`jnl`	A life-long learning vector quantization approach for interactive learning of multiple categories. Neural Networks Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, Edgar Körner
2012	—	`conf`	Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps. ICPRAM (2) Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing
2012	J	`jnl`	Facial Communicative Signals - Valence Recognition in Task-Oriented Human-Robot Interaction. Int. J. Soc. Robotics Christian Lang, Sven Wachsmuth, Marc Hanheide, Heiko Wersing
2011	—	`conf`	A biologically inspired approach for interactive learning of categories. ICDL-EPIROB Stephan Kirstein, Heiko Wersing
2011	J	`jnl`	Active 3D Object Localization Using a Humanoid Robot. IEEE Trans. Robotics Alexander Andreopoulos, Stephan Hasler, Heiko Wersing, Herbert Janssen, John K. Tsotsos, Edgar Körner
2010	B	`conf`	An iterative approach to local-PCA. IJCNN Samuel John, Heiko Wersing, Helge J. Ritter
2010	Misc	`conf`	Correlating Shape and Functional Properties Using Decomposition Approaches. FLAIRS Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing
2010	—	`conf`	Facial expressions as feedback cue in human-robot interaction - a comparison between human and automatic recognition performances. CVPR Workshops Christian Lang, Sven Wachsmuth, Heiko Wersing, Marc Hanheide
2010	B	`conf`	Figure-ground Segmentation using Metrics Adaptation in Level Set Methods. ESANN Alexander Denecke, Irene Ayllón Clemente, Heiko Wersing, Julian Eggert, Jochen Jakob Steil
2010	B	`conf`	Finding correlations in multimodal data using decomposition approaches. ESANN Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing
2010	—	`conf`	Learning Invariant Visual Shape Representations from Physics. ICANN (3) Mathias Franzius, Heiko Wersing
2010	—	`conf`	System approach for multi-purpose representations of traffic scene elements. ITSC Jens Schmüdderich, Nils Einecke, Stephan Hasler, Alexander Gepperth, Bram Bolder, Robert Kastner, Mathias Franzius, Sven Rebhan, Benjamin Dittes, Heiko Wersing, Julian Eggert, Jannik Fritsch, Christian Goerick
2010	B	`conf`	Towards autonomous bootstrapping for life-long learning categorization tasks. IJCNN Stephan Kirstein, Heiko Wersing, Edgar Körner
2009	J	`jnl`	A Model for Learning Topographically Organized Parts-Based Representations of Objects in Visual Cortex: Topographic Nonnegative Matrix Factorization. Neural Comput. Kenji Hosoda, Masataka Watanabe, Heiko Wersing, Edgar Körner, Hiroshi Tsujino, Hiroshi Tamura, Ichiro Fujita
2009	J	`jnl`	A vision architecture for unconstrained and incremental learning of multiple categories. Memetic Comput. Stephan Kirstein, Alexander Denecke, Stephan Hasler, Heiko Wersing, Horst-Michael Gross, Edgar Körner
2009	—	`ch.`	Approaches and Challenges for Cognitive Vision Systems. Creating Brain-Like Intelligence Julian Eggert, Heiko Wersing
2009	B	`conf`	Feedback interpretation based on facial expressions in human-robot interaction. RO-MAN Christian Lang, Marc Hanheide, Manja Lohse, Heiko Wersing, Gerhard Sagerer
2009	—	`conf`	Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ. WSOM Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner
2009	—	`conf`	Large-Scale Real-Time Object Identification Based on Analytic Features. ICANN (2) Stephan Hasler, Heiko Wersing, Stephan Kirstein, Edgar Körner
2009	J	`jnl`	Online figure-ground segmentation with adaptive metrics in generalized LVQ. Neurocomputing Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner
2008	—	`conf`	A Vector Quantization Approach for Life-Long Learning of Categories. ICONIP (1) Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, Edgar Körner
2008	J	`jnl`	A biologically motivated visual memory architecture for online learning of objects. Neural Networks Stephan Kirstein, Heiko Wersing, Edgar Körner
2008	—	`conf`	An Integrated System for Incremental Learning of Multiple Visual Categories. ICONIP (1) Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, Edgar Körner
2008	C	`conf`	Online Learning for Bootstrapping of Object Recognition and Localization in a Biologically Motivated Architecture. ICVS Heiko Wersing, Stephan Kirstein, Bernd Schneiders, Ute Bauer-Wersing, Edgar Körner
2008	B	`conf`	Robust object segmentation by adaptive metrics in Generalized LVQ. ESANN Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner
2008	B	`conf`	Unsupervised extraction of design components for a 3D parts-based representation. IJCNN Zdravko Bozakov, Lars Gräning, Stephan Hasler, Heiko Wersing, Stefan Menzel
2007	—	`conf`	A Comparison of Features in Parts-Based Object Recognition Hierarchies. ICANN (2) Stephan Hasler, Heiko Wersing, Edgar Körner
2007	B	`conf`	A hierarchical model for syllable recognition. ESANN Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Christian Goerick
2007	J	`jnl`	Adaptive scene dependent filters for segmentation and online learning of visual objects. Neurocomputing Jochen J. Steil, Michael Götting, Heiko Wersing, Edgar Körner, Helge J. Ritter
2007	J	`jnl`	Combining Reconstruction and Discrimination with Class-Specific Sparse Coding. Neural Comput. Stephan Hasler, Heiko Wersing, Edgar Körner
2007	J	`jnl`	Online Learning of Objects in a Biologically Motivated Visual Architecture. Int. J. Neural Syst. Heiko Wersing, Stephan Kirstein, Michael Götting, Holger Brandl, Mark Dunn, Inna Mikhailova, Christian Goerick, Jochen J. Steil, Helge J. Ritter, Edgar Körner
2007	—	`conf`	Towards incremental hierarchical behavior generation for humanoids. Humanoids Christian Goerick, Bram Bolder, Herbert Janssen, Michael Gienger, Hisashi Sugiura, Mark Dunn, Inna Mikhailova, Tobias Rodemann, Heiko Wersing, Stephan Kirstein
2007	—	`conf`	Word Recognition with a Hierarchical Neural Network. NOLISP Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Stefan Menzel, Bernhard Sendhoff, Christian Goerick
2006	—	`conf`	A Biologically Motivated System for Unconstrained Online Learning of Visual Objects. ICANN (2) Heiko Wersing, Stephan Kirstein, Michael Götting, Holger Brandl, Mark Dunn, Inna Mikhailova, Christian Goerick, Jochen J. Steil, Helge J. Ritter, Edgar Körner
2006	B	`conf`	Adaptive scene-dependent filters in online learning environments. ESANN Michael Götting, Jochen J. Steil, Heiko Wersing, Edgar Körner, Helge J. Ritter
2006	—	`conf`	Biologically motivated visual behaviors for humanoids: Learning to interact and learning in interaction. Humanoids Christian Goerick, Inna Mikhailova, Heiko Wersing, Stephan Kirstein
2006	J	`jnl`	Learning lateral interactions for feature binding and sensory segmentation from prototypic basis interactions. IEEE Trans. Neural Networks Sebastian Weng, Heiko Wersing, Jochen J. Steil, Helge J. Ritter
2006	B	`conf`	Recent trends in online learning for cognitive robots. ESANN Jochen J. Steil, Heiko Wersing
2005	—	`conf`	Class-Specific Sparse Coding for Learning of Object Representations. ICANN (1) Stephan Hasler, Heiko Wersing, Edgar Körner
2005	B	`conf`	Co-evolutionary modular neural networks for automatic problem decomposition. Congress on Evolutionary Computation Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing
2005	J	`jnl`	Evolutionary optimization of a hierarchical object recognition model. IEEE Trans. Syst. Man Cybern. Part B Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner
2005	—	`conf`	Online Learning for Object Recognition with a Hierarchical Visual Cortex Model. ICANN (1) Stephan Kirstein, Heiko Wersing, Edgar Körner
2005	—	`conf`	Peripersonal space and object recognition for humanoids. Humanoids Christian Goerick, Heiko Wersing, Inna Mikhailova, Mark Dunn
2005	—	`conf`	Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture. DAGM-Symposium Stephan Kirstein, Heiko Wersing, Edgar Körner
2004	J	`jnl`	A computational feature binding model of human texture perception. Cogn. Process. Jörg Ontrup, Heiko Wersing, Helge J. Ritter
2004	B	`conf`	A decision making framework for game playing using evolutionary optimization and learning. IEEE Congress on Evolutionary Computation Alexandro Mark, Bernhard Sendhoff, Heiko Wersing
2004	A	`conf`	Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model. PPSN Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner
2004	B	`conf`	Transformation-invariant representation and NMF. IJCNN Julian Eggert, Heiko Wersing, Edgar Körner
2003	J	`jnl`	Learning Optimized Features for Hierarchical Models of Invariant Object Recognition. Neural Comput. Heiko Wersing, Edgar Körner
2003	C	`conf`	Sparse Coding with Invariance Constraints. ICANN Heiko Wersing, Julian Eggert, Edgar Körner
2002	J	`jnl`	A neural network architecture for automatic segmentation of fluorescence micrographs. Neurocomputing Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge J. Ritter
2002	C	`conf`	Unsupervised Learning of Combination Features for Hierarchical Recognition Models. ICANN Heiko Wersing, Edgar Körner
2001	J	`jnl`	A Competitive-Layer Model for Feature Binding and Sensory Segmentation. Neural Comput. Heiko Wersing, Jochen J. Steil, Helge J. Ritter
2001	J	`jnl`	Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions. Neural Comput. Heiko Wersing, Wolf-Jürgen Beyn, Helge J. Ritter
2001	—	`conf`	Learning Lateral Interactions for Feature Binding and Sensory Segmentation. NIPS Heiko Wersing
2001	C	`conf`	Using Maximal Recurrence in Linear Threshold Competitive Layer Networks. ICANN Heiko Wersing, Helge J. Ritter
2000	B	`conf`	A neural network architecture for automatic segmentation of fluorescence micrographs. ESANN Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge J. Ritter
2000	—	`conf`	Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. IJCNN (1) Tim W. Nattkemper, Heiko Wersing, Helge J. Ritter, Walter Schubert
2000	—	`book`	Spatial feature binding and learning in competitive neural layer architectures. Heiko Wersing
1999	B	`conf`	Feature binding and relaxation labeling with the competitive layer model. ESANN Heiko Wersing, Helge J. Ritter
1997	C	`conf`	A Layered Recurrent Neural Network for Feature Grouping. ICANN Heiko Wersing, Jochen J. Steil, Helge J. Ritter