Heiko Wersing

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 46

Top Venues

Publications

Daniel Tanneberg, Felix Ocker, Stephan Hasler, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Heiko Wersing, Bernhard Sendhoff, Michael Gienger
To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions. CoRR (2024)
Judith Sieker, Simeon Junker, Ronja Utescher, Nazia Attari, Heiko Wersing, Hendrik Buschmeier, Sina Zarrieß
The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering Systems. CoRR (2024)
Helen Beierling, Phillip Richter, Mara Brandt, Lutz Terfloth, Carsten Schulte, Heiko Wersing, Anna-Lisa Vollmer
What you need to know about a learning robot: Identifying the enabling architecture of complex systems. CoRR (2023)
Hendric Voß, Heiko Wersing, Stefan Kopp
Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning. CoRR (2022)
Jan Philip Göpfert, Ulrike Kuhl, Lukas Hindemith, Heiko Wersing, Barbara Hammer
Intuitiveness in Active Teaching. IEEE Trans. Hum. Mach. Syst. 52 (3) (2022)
Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
Interpretable Locally Adaptive Nearest Neighbors. Neurocomputing 470 (2022)
Hendric Voß, Heiko Wersing, Stefan Kopp
Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning. ICMI Companion (2021)
Nima Nabizadeh, Heiko Wersing, Dorothea Kolossa
Leveraging Inter-step Dependencies for Information Extraction from Procedural Task Instructions. TDS (2021)
Martina Hasenjäger, Martin Heckmann, Heiko Wersing
A Survey of Personalization for Advanced Driver Assistance Systems. IEEE Trans. Intell. Veh. 5 (2) (2020)
Jan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer
Adversarial Attacks Hidden in Plain Sight. IDA (2020)
Bernhard Sendhoff, Heiko Wersing
Cooperative Intelligence - A Humane Perspective. ICHMS (2020)
Matti Krüger, Christiane B. Wiebel-Herboth, Heiko Wersing
The Lateral Line: Augmenting Spatiotemporal Perception with a Tactile Interface. AHs (2020)
Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
Locally Adaptive Nearest Neighbors. ESANN (2020)
Christian Limberg, Jan Philip Göpfert, Heiko Wersing, Helge J. Ritter
Prototype-Based Online Learning on Homogeneously Labeled Streaming Data. ICANN (2) (2020)
Matti Krüger, Tom Driessen, Christiane B. Wiebel-Herboth, Joost C. F. de Winter, Heiko Wersing
Feeling Uncertain - Effects of a Vibrotactile Belt that Communicates Vehicle Sensor Uncertainty. Inf. 11 (7) (2020)
Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
Locally Adaptive Nearest Neighbors. CoRR (2020)
Jan Philip Göpfert, Ulrike Kuhl, Lukas Hindemith, Heiko Wersing, Barbara Hammer
Intuitiveness in Active Teaching. CoRR (2020)
Christian Limberg, Heiko Wersing, Helge J. Ritter
Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot. ICONIP (2) (2020)
Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet
Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift. IJCNN (2020)
Christian Limberg, Heiko Wersing, Helge J. Ritter
Beyond Cross-Validation - Accuracy Estimation for Incremental and Active Learning Models. Mach. Learn. Knowl. Extr. 2 (3) (2020)
Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
Recovering Localized Adversarial Attacks. ICANN (1) (2019)
Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
Adversarial attacks hidden in plain sight. CoRR (2019)
Christian Limberg, Kathrin Krieger, Heiko Wersing, Helge J. Ritter
Active Learning for Image Recognition Using a Visualization-Based User Interface. ICANN (2) (2019)
Viktor Losing, Taizo Yoshikawa, Martina Hasenjäger, Barbara Hammer, Heiko Wersing
Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units. ICRA (2019)
Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
Recovering Localized Adversarial Attacks. CoRR (2019)
Jan Philip Göpfert, Barbara Hammer, Heiko Wersing
Mitigating Concept Drift via Rejection. ICANN (1) (2018)
Viktor Losing, Heiko Wersing, Barbara Hammer
Enhancing Very Fast Decision Trees with Local Split-Time Predictions. ICDM (2018)
Viktor Losing, Barbara Hammer, Heiko Wersing
Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM). Knowl. Inf. Syst. 54 (1) (2018)
Viktor Losing, Barbara Hammer, Heiko Wersing
Incremental on-line learning: A review and comparison of state of the art algorithms. Neurocomputing 275 (2018)
Matti Krüger, Heiko Wersing, Christiane B. Wiebel-Herboth
Approach for Enhancing the Perception and Prediction of Traffic Dynamics with a Tactile Interface. AutomotiveUI (adjunct) (2018)
Christian Limberg, Heiko Wersing, Helge J. Ritter
Efficient accuracy estimation for instance-based incremental active learning. ESANN (2018)
Christian Limberg, Heiko Wersing, Helge J. Ritter
Improving Active Learning by Avoiding Ambiguous Samples. ICANN (1) (2018)
Viktor Losing, Barbara Hammer, Heiko Wersing
Self-Adjusting Memory: How to Deal with Diverse Drift Types. IJCAI (2017)
Matti Krüger, Christiane B. Wiebel, Heiko Wersing
From Tools Towards Cooperative Assistants. HAI (2017)
Viktor Losing, Barbara Hammer, Heiko Wersing
Personalized maneuver prediction at intersections. ITSC (2017)
Martina Hasenjäger, Heiko Wersing
Personalization in advanced driver assistance systems and autonomous vehicles: A review. ITSC (2017)
Nadja Schömig, Martin Heckmann, Heiko Wersing, Christian Maag, Alexandra Neukum
Assistance-On-Demand: a Speech-Based Assistance System for Urban Intersections. AutomotiveUI (adjunct) (2016)
Lydia Fischer, Barbara Hammer, Heiko Wersing
Online metric learning for an adaptation to confidence drift. IJCNN (2016)
Viktor Losing, Barbara Hammer, Heiko Wersing
Choosing the best algorithm for an incremental on-line learning task. ESANN (2016)
Viktor Losing, Barbara Hammer, Heiko Wersing
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift. ICDM (2016)
Lydia Fischer, Barbara Hammer, Heiko Wersing
Optimal local rejection for classifiers. Neurocomputing 214 (2016)
Lydia Fischer, Barbara Hammer, Heiko Wersing
Efficient rejection strategies for prototype-based classification. Neurocomputing 169 (2015)
Viktor Losing, Barbara Hammer, Heiko Wersing
Interactive online learning for obstacle classification on a mobile robot. IJCNN (2015)
Lydia Fischer, Barbara Hammer, Heiko Wersing
Certainty-based prototype insertion/deletion for classification with metric adaptation. ESANN (2015)
Lydia Fischer, Barbara Hammer, Heiko Wersing
Optimum Reject Options for Prototype-based Classification. CoRR (2015)
Lydia Fischer, Barbara Hammer, Heiko Wersing
Combining offline and online classifiers for life-long learning. IJCNN (2015)
Lydia Fischer, Barbara Hammer, Heiko Wersing
Local Rejection Strategies for Learning Vector Quantization. ICANN (2014)
Lydia Fischer, David Nebel, Thomas Villmann, Barbara Hammer, Heiko Wersing
Rejection Strategies for Learning Vector Quantization - A Comparison of Probabilistic and Deterministic Approaches. WSOM (2014)
Lydia Fischer, Barbara Hammer, Heiko Wersing
Rejection strategies for learning vector quantization. ESANN (2014)
Christian Lang, Sven Wachsmuth, Marc Hanheide, Heiko Wersing
Facial communicative signal interpretation in human-robot interaction by discriminative video subsequence selection. ICRA (2013)
Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing
Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps. ICPRAM (2) (2012)
Christian Lang, Sven Wachsmuth, Marc Hanheide, Heiko Wersing
Facial Communicative Signals - Valence Recognition in Task-Oriented Human-Robot Interaction. Int. J. Soc. Robotics 4 (3) (2012)
Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, Edgar Körner
A life-long learning vector quantization approach for interactive learning of multiple categories. Neural Networks 28 (2012)
Alexander Andreopoulos, Stephan Hasler, Heiko Wersing, Herbert Janssen, John K. Tsotsos, Edgar Körner
Active 3D Object Localization Using a Humanoid Robot. IEEE Trans. Robotics 27 (1) (2011)
Stephan Kirstein, Heiko Wersing
A biologically inspired approach for interactive learning of categories. ICDL-EPIROB (2011)
Mathias Franzius, Heiko Wersing
Learning Invariant Visual Shape Representations from Physics. ICANN (3) (2010)
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
System approach for multi-purpose representations of traffic scene elements. ITSC (2010)
Christian Lang, Sven Wachsmuth, Heiko Wersing, Marc Hanheide
Facial expressions as feedback cue in human-robot interaction - a comparison between human and automatic recognition performances. CVPR Workshops (2010)
Stephan Kirstein, Heiko Wersing, Edgar Körner
Towards autonomous bootstrapping for life-long learning categorization tasks. IJCNN (2010)
Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing
Correlating Shape and Functional Properties Using Decomposition Approaches. FLAIRS Conference (2010)
Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing
Finding correlations in multimodal data using decomposition approaches. ESANN (2010)
Alexander Denecke, Irene Ayllón Clemente, Heiko Wersing, Julian Eggert, Jochen Jakob Steil
Figure-ground Segmentation using Metrics Adaptation in Level Set Methods. ESANN (2010)
Samuel John, Heiko Wersing, Helge J. Ritter
An iterative approach to local-PCA. IJCNN (2010)
Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner
Online figure-ground segmentation with adaptive metrics in generalized LVQ. Neurocomputing 72 (7-9) (2009)
Kenji Hosoda, Masataka Watanabe, Heiko Wersing, Edgar Körner, Hiroshi Tsujino, Hiroshi Tamura, Ichiro Fujita
A Model for Learning Topographically Organized Parts-Based Representations of Objects in Visual Cortex: Topographic Nonnegative Matrix Factorization. Neural Comput. 21 (9) (2009)
Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner
Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ. WSOM (2009)
Stephan Hasler, Heiko Wersing, Stephan Kirstein, Edgar Körner
Large-Scale Real-Time Object Identification Based on Analytic Features. ICANN (2) (2009)
Stephan Kirstein, Alexander Denecke, Stephan Hasler, Heiko Wersing, Horst-Michael Gross, Edgar Körner
A vision architecture for unconstrained and incremental learning of multiple categories. Memetic Comput. 1 (4) (2009)
Christian Lang, Marc Hanheide, Manja Lohse, Heiko Wersing, Gerhard Sagerer
Feedback interpretation based on facial expressions in human-robot interaction. RO-MAN (2009)
Stephan Kirstein, Heiko Wersing, Edgar Körner
A biologically motivated visual memory architecture for online learning of objects. Neural Networks 21 (1) (2008)
Zdravko Bozakov, Lars Gräning, Stephan Hasler, Heiko Wersing, Stefan Menzel
Unsupervised extraction of design components for a 3D parts-based representation. IJCNN (2008)
Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, Edgar Körner
An Integrated System for Incremental Learning of Multiple Visual Categories. ICONIP (1) (2008)
Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, Edgar Körner
A Vector Quantization Approach for Life-Long Learning of Categories. ICONIP (1) (2008)
Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner
Robust object segmentation by adaptive metrics in Generalized LVQ. ESANN (2008)
Heiko Wersing, Stephan Kirstein, Bernd Schneiders, Ute Bauer-Wersing, Edgar Körner
Online Learning for Bootstrapping of Object Recognition and Localization in a Biologically Motivated Architecture. ICVS (2008)
Christian Goerick, Bram Bolder, Herbert Janssen, Michael Gienger, Hisashi Sugiura, Mark Dunn, Inna Mikhailova, Tobias Rodemann, Heiko Wersing, Stephan Kirstein
Towards incremental hierarchical behavior generation for humanoids. Humanoids (2007)
Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Christian Goerick
A hierarchical model for syllable recognition. ESANN (2007)
Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Stefan Menzel, Bernhard Sendhoff, Christian Goerick
Word Recognition with a Hierarchical Neural Network. NOLISP (2007)
Heiko Wersing, Stephan Kirstein, Michael Götting, Holger Brandl, Mark Dunn, Inna Mikhailova, Christian Goerick, Jochen J. Steil, Helge J. Ritter, Edgar Körner
Online Learning of Objects in a Biologically Motivated Visual Architecture. Int. J. Neural Syst. 17 (4) (2007)
Jochen J. Steil, Michael Götting, Heiko Wersing, Edgar Körner, Helge J. Ritter
Adaptive scene dependent filters for segmentation and online learning of visual objects. Neurocomputing 70 (7-9) (2007)
Stephan Hasler, Heiko Wersing, Edgar Körner
A Comparison of Features in Parts-Based Object Recognition Hierarchies. ICANN (2) (2007)
Stephan Hasler, Heiko Wersing, Edgar Körner
Combining Reconstruction and Discrimination with Class-Specific Sparse Coding. Neural Comput. 19 (7) (2007)
Heiko Wersing, Stephan Kirstein, Michael Götting, Holger Brandl, Mark Dunn, Inna Mikhailova, Christian Goerick, Jochen J. Steil, Helge J. Ritter, Edgar Körner
A Biologically Motivated System for Unconstrained Online Learning of Visual Objects. ICANN (2) (2006)
Sebastian Weng, Heiko Wersing, Jochen J. Steil, Helge J. Ritter
Learning lateral interactions for feature binding and sensory segmentation from prototypic basis interactions. IEEE Trans. Neural Networks 17 (4) (2006)
Christian Goerick, Inna Mikhailova, Heiko Wersing, Stephan Kirstein
Biologically motivated visual behaviors for humanoids: Learning to interact and learning in interaction. Humanoids (2006)
Michael Götting, Jochen J. Steil, Heiko Wersing, Edgar Körner, Helge J. Ritter
Adaptive scene-dependent filters in online learning environments. ESANN (2006)
Jochen J. Steil, Heiko Wersing
Recent trends in online learning for cognitive robots. ESANN (2006)
Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing
Co-evolutionary modular neural networks for automatic problem decomposition. Congress on Evolutionary Computation (2005)
Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner
Evolutionary optimization of a hierarchical object recognition model. IEEE Trans. Syst. Man Cybern. Part B 35 (3) (2005)
Stephan Hasler, Heiko Wersing, Edgar Körner
Class-Specific Sparse Coding for Learning of Object Representations. ICANN (1) (2005)
Christian Goerick, Heiko Wersing, Inna Mikhailova, Mark Dunn
Peripersonal space and object recognition for humanoids. Humanoids (2005)
Stephan Kirstein, Heiko Wersing, Edgar Körner
Online Learning for Object Recognition with a Hierarchical Visual Cortex Model. ICANN (1) (2005)
Stephan Kirstein, Heiko Wersing, Edgar Körner
Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture. DAGM-Symposium (2005)
Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model. PPSN (2004)
Alexandro Mark, Bernhard Sendhoff, Heiko Wersing
A decision making framework for game playing using evolutionary optimization and learning. IEEE Congress on Evolutionary Computation (2004)
Jörg Ontrup, Heiko Wersing, Helge J. Ritter
A computational feature binding model of human texture perception. Cogn. Process. 5 (1) (2004)
Heiko Wersing, Edgar Körner
Learning Optimized Features for Hierarchical Models of Invariant Object Recognition. Neural Comput. 15 (7) (2003)
Heiko Wersing, Julian Eggert, Edgar Körner
Sparse Coding with Invariance Constraints. ICANN (2003)
Heiko Wersing, Edgar Körner
Unsupervised Learning of Combination Features for Hierarchical Recognition Models. ICANN (2002)
Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge J. Ritter
A neural network architecture for automatic segmentation of fluorescence micrographs. Neurocomputing 48 (1-4) (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Heiko Wersing