53 Publikationen
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2025 | Preprint | PUB-ID: 3002141
Improving Human-Robot Teaching by Quantifying and Reducing Mental Model MismatchPUB | PDF | DOI | Download (ext.) | arXiv
Richter, Phillip, Improving Human-Robot Teaching by Quantifying and Reducing Mental Model Mismatch. arXiv:2501.04755 (). , 2025 -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2993477What you need to know about a learning robot: Identifying the enabling architecture of complex systemsPUB | DOI | Download (ext.) | WoS
Beierling, Helen, What you need to know about a learning robot: Identifying the enabling architecture of complex systems. Cognitive Systems Research 88 (). , 2024 -
2024 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2994503Reducing Mental Model Mismatch with Intention-Based Feedback in Human-Robot TeachingPUB | DOI | WoS
Richter, Phillip, Reducing Mental Model Mismatch with Intention-Based Feedback in Human-Robot Teaching. Proceedings of the 12th International Conference on Human-Agent Interaction (). New York, NY, USA, 2024 -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959418Intuitiveness in Active TeachingPUB | DOI | WoS
Göpfert, Jan Philip, Intuitiveness in Active Teaching. IEEE Transactions on Human-Machine Systems (). , 2021 -
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2950092Beyond Cross-Validation—Accuracy Estimation for Incremental and Active Learning ModelsPUB | DOI | WoS
Limberg, Christian, Beyond Cross-Validation—Accuracy Estimation for Incremental and Active Learning Models. Machine Learning and Knowledge Extraction 2 (3). , 2020 -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950093Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant RobotPUB | DOI
Limberg, Christian, Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot. Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II 12533 (). Cham, 2020 -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950094Prototype-Based Online Learning on Homogeneously Labeled Streaming DataPUB | DOI
Limberg, Christian, Prototype-Based Online Learning on Homogeneously Labeled Streaming Data. Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II 12397 (). Cham, 2020 -
2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982085Recovering Localized Adversarial AttacksPUB | DOI
Göpfert, Jan Philip, Recovering Localized Adversarial Attacks. Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation. 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I (). Cham, 2019 -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982084Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement UnitsPUB | DOI
Losing, Viktor, Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units. 2019 International Conference on Robotics and Automation (ICRA) (). , 2019 -
2019 | Preprint | Veröffentlicht | PUB-ID: 2934181Adversarial attacks hidden in plain sightPUB | DOI | arXiv
Göpfert, Jan Philip, Adversarial attacks hidden in plain sight. (). , 2019 -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982088Enhancing Very Fast Decision Trees with Local Split-Time PredictionsPUB | DOI
Losing, Viktor, Enhancing Very Fast Decision Trees with Local Split-Time Predictions. 2018 IEEE International Conference on Data Mining (ICDM) (). , 2018 -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914730
Incremental on-line learning: A review and comparison of state of the art algorithmsPUB | PDF | DOI | WoS
Losing, Viktor, Incremental on-line learning: A review and comparison of state of the art algorithms. Neurocomputing 275 (). , 2018 -
2017 | Konferenzbeitrag | PUB-ID: 2914734
Self-Adjusting Memory: How to Deal with Diverse Drift TypesPUB | PDF | DOI
Losing, Viktor, Self-Adjusting Memory: How to Deal with Diverse Drift Types. (). , 2017 -
2017 | Konferenzbeitrag | PUB-ID: 2914732
Personalized Maneuver Prediction at IntersectionsPUB | PDF
Losing, Viktor, Personalized Maneuver Prediction at Intersections. (). , 2017 -
2016 | Konferenzbeitrag | PUB-ID: 2907624
Choosing the Best Algorithm for an Incremental On-line Learning TaskPUB | PDF
Losing, Viktor, Choosing the Best Algorithm for an Incremental On-line Learning Task. (). , 2016 -
2016 | Konferenzbeitrag | PUB-ID: 2908455
Dedicated Memory Models for Continual Learning in the Presence of Concept DriftPUB | PDF
Losing, Viktor, Dedicated Memory Models for Continual Learning in the Presence of Concept Drift. (). , 2016 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2907622
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept DriftPUB | PDF | DOI
Losing, Viktor, KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift. 2016 IEEE 16th International Conference on Data Mining (ICDM) (). Piscataway, NJ, 2016 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772413Efficient rejection strategies for prototype-based classificationPUB | DOI | WoS
Fischer, Lydia, Efficient rejection strategies for prototype-based classification. Neurocomputing 169 (SI). , 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2776021
Interactive Online Learning for Obstacle Classification on a Mobile RobotPUB | PDF | DOI
Losing, Viktor, Interactive Online Learning for Obstacle Classification on a Mobile Robot. (). , 2015 -
2014 | Patent | PUB-ID: 2906899System for Controlling an Automated DevicePUB | Download (ext.)
Wersing, Heiko, System for Controlling an Automated Device. (). , 2014 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673548Rejection strategies for learning vector quantizationPUB
Fischer, Lydia, Rejection strategies for learning vector quantization. ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). Bruges, Belgium, 2014 -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2425561Decomposition of Multimodal Data for Affordance-based Identification of Potential GraspsPUB | DOI
Dornbusch, Daniel, Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps. (). , 2012 -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2604349Facial Communicative Signals - Valence Recognition in Task-Oriented Human-Robot InteractionPUB | DOI | WoS
Lang, Christian, Facial Communicative Signals - Valence Recognition in Task-Oriented Human-Robot Interaction. International Journal of Social Robotics - Special Issue on Measuring Human-Robot Interaction 4 (3). , 2012 -
2012 | Report | PUB-ID: 2467027
Facial Communicative Signal Interpretation in Human-Robot Interaction by Discriminative Video Subsequence SelectionPUB | PDF
Lang, Christian, Facial Communicative Signal Interpretation in Human-Robot Interaction by Discriminative Video Subsequence Selection. (). , 2012 -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2376395An iterative approach to local-PCAPUB | DOI
John, Samuel, An iterative approach to local-PCA. Neural Networks (IJCNN), The 2010 International Joint Conference on (). , 2010 -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034704Facial Expressions as Feedback Cue in Human-Robot Interaction - a Comparison between Human and Automatic Recognition PerformancesPUB | DOI
Lang, Christian, Facial Expressions as Feedback Cue in Human-Robot Interaction - a Comparison between Human and Automatic Recognition Performances. Workshop on CVPR for Human Communicative Behavior Analysis (). San Francisco, California, USA, 2010 -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034035Figure-ground segmentation using metrics adaptation in levelset methodsPUB
Denecke, Alexander, Figure-ground segmentation using metrics adaptation in levelset methods. European Symposium on Artificial Neural Networks (). , 2010 -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2019022Correlating shape and functional properties using decomposition approachesPUB
Dornbusch, Daniel, Correlating shape and functional properties using decomposition approaches. Proc. FLAIRS-23 (). , 2010 -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2019017Finding Correlations in Multimodal Data Using Decomposition ApproachesPUB
Dornbusch, Daniel, Finding Correlations in Multimodal Data Using Decomposition Approaches. Proc. ESANN 2010 (). Belgium, 2010 -
2009 | Patent | PUB-ID: 2637645Adaptive scene dependent filters in online learning environmentsPUB
Wersing, Heiko, Adaptive scene dependent filters in online learning environments. (). , 2009 -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1969815Online figure-ground segmentation with adaptive metrics in Generalized LVQPUB | DOI | WoS
Denecke, Alexander, Online figure-ground segmentation with adaptive metrics in Generalized LVQ. Neurocomputing 72 (7-9). , 2009 -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1969825Incremental Figure-Ground Segmentation using localized adaptive metrics in LVQPUB | DOI
Denecke, Alexander, Incremental Figure-Ground Segmentation using localized adaptive metrics in LVQ. International Workshop on Self-Organizing Maps (WSOM) (). , 2009 -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1969830A Vision Architecture for Unconstrained and Incremental Learning of Multiple CategoriesPUB | DOI
Kirstein, Stephan, A Vision Architecture for Unconstrained and Incremental Learning of Multiple Categories. Memetic Computing 1 (4). , 2009 -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1991920Feedback Interpretation based on Facial Expressions in Human–Robot InteractionPUB | DOI
Lang, Christian, Feedback Interpretation based on Facial Expressions in Human–Robot Interaction. International Symposium on Robot and Human Interactive Communication (RO-MAN'09) (). Toyama, Japan, 2009 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142096Robust object segmentation by adaptive metrics in Generalized LVQPUB
Denecke, Alexander, Robust object segmentation by adaptive metrics in Generalized LVQ. Proc. of the European Symposium on Artificial Neural Networks (ESANN) (). , 2008 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996923
Online Learning of Objects and Faces in an Integrated Biologically Motivated ArchitecturePUB | PDF | DOI
Wersing, Heiko, Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture. Proceedings of the 5th International Conference on Computer Vision Systems (ICVS 2007) (). Bielefeld, 2007 -
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1632803Online Learning of Objects in a Biologically Motivated Visual ArchitecturePUB | DOI | WoS | PubMed | Europe PMC
Wersing, Heiko, Online Learning of Objects in a Biologically Motivated Visual Architecture. International Journal of Neural Systems 17 (04). , 2007 -
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1594761
Adaptive scene dependent filters for segmentation and online learning of visual objectsPUB | PDF | DOI | WoS
Steil, Jochen J., Adaptive scene dependent filters for segmentation and online learning of visual objects. Neurocomputing 70 (7-9). , 2007 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142151
Adaptive scene-dependent filters in online learning environmentsPUB | PDF
Götting, Michael, Adaptive scene-dependent filters in online learning environments. New issues in neurocomputing. 13th European Symposium on Artificial Neural Networks 2005 (). , 2006 -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2142182Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis InteractionsPUB | DOI | WoS | PubMed | Europe PMC
Weng, Sebastian, Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis Interactions. IEEE Trans. Neural Networks 17 (4). , 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142157Recent Trends in Online Learning for Cognitive RoboticsPUB
Steil, Jochen J., Recent Trends in Online Learning for Cognitive Robotics. Proc. European Symposium on Artifical Neural Networks (). , 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142171A biologically motivated system for unconstrained online learning of visual objectsPUB | DOI
Wersing, Heiko, A biologically motivated system for unconstrained online learning of visual objects. Proc. of the Int. Conf. on Artificial Neural Networks (ICANN) 2 (). Berlin, Heidelberg, 2006 -
2004 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2714352A Computational Feature Binding Model of Human Texture PerceptionPUB
Ontrup, Jörg, A Computational Feature Binding Model of Human Texture Perception. Cognitive Processing 5 (1). , 2004 -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1613503A neural network architecture for automatic segmentation of fluorescence micrographsPUB | DOI | WoS
Nattkemper, Tim Wilhelm, A neural network architecture for automatic segmentation of fluorescence micrographs. Neurocomputing 48 (1-4). , 2002 -
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1616820Dynamical stability conditions for recurrent neural networks with unsaturating piecewise linear transfer functionsPUB | DOI | WoS | PubMed | Europe PMC
Wersing, Heiko, Dynamical stability conditions for recurrent neural networks with unsaturating piecewise linear transfer functions. Neural Computation 13 (8). , 2001 -
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2142293A Competitive Layer Model for Feature Binding and Sensory SegmentationPUB | DOI | WoS | PubMed | Europe PMC
Wersing, Heiko, A Competitive Layer Model for Feature Binding and Sensory Segmentation. Neural Computation 13 (2). , 2001 -
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2375211A Neural Network Architecture for Automatic Segmentation of Fluorescence MicrographsPUB
Nattkemper, Tim Wilhelm, A Neural Network Architecture for Automatic Segmentation of Fluorescence Micrographs. Proc. of the 8th Europ. Symp. on Art. Neur. Netw. (ESANN) (). , 2000 -
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2374799Fluorescence Micrograph Segmentation by Gestalt-Based Feature BindingPUB
Nattkemper, Tim Wilhelm, Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. Proc. of the Int. Joint Conf. on Neur. Netw. (IJCNN) 1 (). Como, Italy, 2000 -
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714744Automatic Evaluation of Multi-Parameter Fluorescence Micrographs with a Neural Network ArchitecturePUB
Nattkemper, Tim Wilhelm, Automatic Evaluation of Multi-Parameter Fluorescence Micrographs with a Neural Network Architecture. Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS '00 2 (). Las Vegas, USA, 2000 -
2000 | Dissertation | PUB-ID: 2434189Spatial feature binding and learning in competitive neural layer architecturesPUB
Wersing, Heiko, Spatial feature binding and learning in competitive neural layer architectures. (). Göttingen, 2000 -
1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714834Backtracking Deterministic Annealing for Constraint Satisfaction ProblemsPUB
Wersing, Heiko, Backtracking Deterministic Annealing for Constraint Satisfaction Problems. ICANN 99, Ninth Int. Conf. Artifical Neural Netwworks 470 (). London, 1999 -
1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714852Feature Binding and Relaxation Labeling with the Competitive Layer ModelPUB
Wersing, Heiko, Feature Binding and Relaxation Labeling with the Competitive Layer Model. Proceedings. ESANN '99, 7th European Symposium on Artificial Neural Networks (). Bruges, 1999 -
1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142325A Layered Recurrent Neural Network for Feature GroupingPUB
Wersing, Heiko, A Layered Recurrent Neural Network for Feature Grouping. Int. Conf. on Artificial Neural Networks (). , 1997