52 Publikationen
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2024 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2994503Reducing Mental Model Mismatch with Intention-Based Feedback in Human-Robot TeachingPUB | DOI
Richter P, Wersing H, Vollmer A-L (2024)
In: Proceedings of the 12th International Conference on Human-Agent Interaction. Ahmad MI, Lohan K, Foster ME, Holthaus P, Nagai Y (Eds); New York, NY, USA: ACM: 399-401. -
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 H, Richter P, Brandt M, Terfloth L, Schulte C, Wersing H, Vollmer A-L (2024)
Cognitive Systems Research 88: 101286. -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959418Intuitiveness in Active TeachingPUB | DOI | WoS
Göpfert JP, Kuhl U, Hindemith L, Wersing H, Hammer B (2021)
IEEE Transactions on Human-Machine Systems: 1-10. -
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2950092Beyond Cross-Validation—Accuracy Estimation for Incremental and Active Learning ModelsPUB | DOI | WoS
Limberg C, Wersing H, Ritter H (2020)
Machine Learning and Knowledge Extraction 2(3): 327-346. -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950093Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant RobotPUB | DOI
Limberg C, Wersing H, Ritter H (2020)
In: Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II. Yang H, Pasupa K, Leung AC-S, Kwok JT, Chan JH, King I (Eds); Lecture Notes in Computer Science, 12533. Cham: Springer International Publishing: 738-749. -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950094Prototype-Based Online Learning on Homogeneously Labeled Streaming DataPUB | DOI
Limberg C, Göpfert JP, Wersing H, Ritter H (2020)
In: Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II. Farkaš I, Masulli P, Wermter S (Eds); Lecture Notes in Computer Science, 12397. Cham: Springer International Publishing: 204-213. -
2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982085Recovering Localized Adversarial AttacksPUB | DOI
Göpfert JP, Wersing H, Hammer B (2019)
In: 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. Tetko IV, Kůrková V, Karpov P, Theis F (Eds); Lecture Notes in Computer Science. Cham: Springer International Publishing: 302-311. -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982084Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement UnitsPUB | DOI
Losing V, Yoshikawa T, Hasenjaeger M, Hammer B, Wersing H (2019)
In: 2019 International Conference on Robotics and Automation (ICRA). IEEE: 9530-9536. -
2019 | Preprint | Veröffentlicht | PUB-ID: 2934181Adversarial attacks hidden in plain sightPUB | DOI | arXiv
Göpfert JP, Wersing H, Hammer B (2019) . -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982088Enhancing Very Fast Decision Trees with Local Split-Time PredictionsPUB | DOI
Losing V, Wersing H, Hammer B (2018)
In: 2018 IEEE International Conference on Data Mining (ICDM). IEEE: 287-296. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914730
Incremental on-line learning: A review and comparison of state of the art algorithmsPUB | PDF | DOI | WoS
Losing V, Hammer B, Wersing H (2018)
Neurocomputing 275: 1261-1274. -
2017 | Konferenzbeitrag | PUB-ID: 2914734
Self-Adjusting Memory: How to Deal with Diverse Drift TypesPUB | PDF | DOI
Losing V, Hammer B, Wersing H (2017)
Presented at the International Joint Conference on Artificial Intelligence (IJCAI) 2017, Melbourne. -
2017 | Konferenzbeitrag | PUB-ID: 2914732
Personalized Maneuver Prediction at IntersectionsPUB | PDF
Losing V, Hammer B, Wersing H (2017)
Presented at the IEEE Intelligent Transportation Systems Conference 2017, Yokohama. -
2016 | Konferenzbeitrag | PUB-ID: 2907624
Choosing the Best Algorithm for an Incremental On-line Learning TaskPUB | PDF
Losing V, Hammer B, Wersing H (2016)
Presented at the European Symposium on Artificial Neural Networks, Brügge. -
2016 | Konferenzbeitrag | PUB-ID: 2908455
Dedicated Memory Models for Continual Learning in the Presence of Concept DriftPUB | PDF
Losing V, Hammer B, Wersing H (2016)
Presented at the Continual Learning Workshop of the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Barcelona. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2907622
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept DriftPUB | PDF | DOI
Losing V, Hammer B, Wersing H (2016)
In: 2016 IEEE 16th International Conference on Data Mining (ICDM). Piscataway, NJ: IEEE: 291-300. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772413Efficient rejection strategies for prototype-based classificationPUB | DOI | WoS
Fischer L, Hammer B, Wersing H (2015)
Neurocomputing 169(SI): 334-342. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2776021
Interactive Online Learning for Obstacle Classification on a Mobile RobotPUB | PDF | DOI
Losing V, Hammer B, Wersing H (2015)
Presented at the International Joint Conference on Neural Networks, Killarney, Ireland. -
2014 | Patent | PUB-ID: 2906899System for Controlling an Automated DevicePUB | Download (ext.)
Wersing H, Queißer J (01.06.2016) . -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673548Rejection strategies for learning vector quantizationPUB
Fischer L, Hammer B, Wersing H (2014)
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 41-46. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2425561Decomposition of Multimodal Data for Affordance-based Identification of Potential GraspsPUB | DOI
Dornbusch D, Haschke R, Menzel S, Wersing H (2012)
Presented at the International Conference on Pattern Recognition Applications and Methods, Vilamoura, Algarve, Portugal. -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2604349Facial Communicative Signals - Valence Recognition in Task-Oriented Human-Robot InteractionPUB | DOI | WoS
Lang C, Wachsmuth S, Hanheide M, Wersing H (2012)
International Journal of Social Robotics - Special Issue on Measuring Human-Robot Interaction 4(3): 249-262. -
2012 | Report | PUB-ID: 2467027
Facial Communicative Signal Interpretation in Human-Robot Interaction by Discriminative Video Subsequence SelectionPUB | PDF
Lang C, Wachsmuth S, Hanheide M, Wersing H (2012) . -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2376395An iterative approach to local-PCAPUB | DOI
John S, Wersing H, Ritter H (2010)
In: Neural Networks (IJCNN), The 2010 International Joint Conference on. 1-6. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034704Facial Expressions as Feedback Cue in Human-Robot Interaction - a Comparison between Human and Automatic Recognition PerformancesPUB | DOI
Lang C, Wachsmuth S, Wersing H, Hanheide M (2010)
In: Workshop on CVPR for Human Communicative Behavior Analysis. IEEE Computer Society, Institute of Electrical and Electronics Engineers (Eds); San Francisco, California, USA: IEEE: 79-85. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034035Figure-ground segmentation using metrics adaptation in levelset methodsPUB
Denecke A, Ayllon Clemente I, Wersing H, Eggert J, Steil JJ (2010)
In: European Symposium on Artificial Neural Networks. 417-422. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2019022Correlating shape and functional properties using decomposition approachesPUB
Dornbusch D, Haschke R, Menzel S, Wersing H (2010)
In: Proc. FLAIRS-23. AAAI: 398-403. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2019017Finding Correlations in Multimodal Data Using Decomposition ApproachesPUB
Dornbusch D, Haschke R, Menzel S, Wersing H (2010)
In: Proc. ESANN 2010. Belgium: d-facto: 253-258. -
2009 | Patent | PUB-ID: 2637645Adaptive scene dependent filters in online learning environmentsPUB
Wersing H, Götting M, Steil JJ (2009) . -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1969815Online figure-ground segmentation with adaptive metrics in Generalized LVQPUB | DOI | WoS
Denecke A, Wersing H, Steil JJ, Körner E (2009)
Neurocomputing 72(7-9): 1470-1482. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1969825Incremental Figure-Ground Segmentation using localized adaptive metrics in LVQPUB | DOI
Denecke A, Wersing H, Steil JJ, Körner E (2009)
In: International Workshop on Self-Organizing Maps (WSOM). 45-53. -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1969830A Vision Architecture for Unconstrained and Incremental Learning of Multiple CategoriesPUB | DOI
Kirstein S, Denecke A, Hasler S, Wersing H, Gross H-M, Körner E (2009)
Memetic Computing 1(4): 291-304. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1991920Feedback Interpretation based on Facial Expressions in Human–Robot InteractionPUB | DOI
Lang C, Hanheide M, Lohse M, Wersing H, Sagerer G (2009)
In: International Symposium on Robot and Human Interactive Communication (RO-MAN'09). Toyama, Japan: IEEE: 189-194. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142096Robust object segmentation by adaptive metrics in Generalized LVQPUB
Denecke A, Wersing H, Steil JJ, Körner E (2008)
In: Proc. of the European Symposium on Artificial Neural Networks (ESANN). 319-324. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996923
Online Learning of Objects and Faces in an Integrated Biologically Motivated ArchitecturePUB | PDF | DOI
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E (2007)
In: Proceedings of the 5th International Conference on Computer Vision Systems (ICVS 2007) . Bielefeld: Bielefeld University. -
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1632803Online Learning of Objects in a Biologically Motivated Visual ArchitecturePUB | DOI | WoS | PubMed | Europe PMC
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E (2007)
International Journal of Neural Systems 17(04): 219-230. -
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1594761
Adaptive scene dependent filters for segmentation and online learning of visual objectsPUB | PDF | DOI | WoS
Steil JJ, Götting M, Wersing H, Körner E, Ritter H (2007)
Neurocomputing 70(7-9): 1235-1246. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142151
Adaptive scene-dependent filters in online learning environmentsPUB | PDF
Götting M, Steil JJ, Wersing H, Körner E, Ritter H (2006)
In: New issues in neurocomputing. 13th European Symposium on Artificial Neural Networks 2005. 101-106. -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2142182Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis InteractionsPUB | DOI | WoS | PubMed | Europe PMC
Weng S, Wersing H, Steil JJ, Ritter H (2006)
IEEE Trans. Neural Networks 17(4): 843-862. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142157Recent Trends in Online Learning for Cognitive RoboticsPUB
Steil JJ, Wersing H (2006)
In: Proc. European Symposium on Artifical Neural Networks. Verleysen M (Ed); d-side publications. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142171A biologically motivated system for unconstrained online learning of visual objectsPUB | DOI
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E (2006)
In: Proc. of the Int. Conf. on Artificial Neural Networks (ICANN). Kollias S (Ed); , 2. Berlin, Heidelberg: Springer Berlin Heidelberg: 508-517. -
2004 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2714352A Computational Feature Binding Model of Human Texture PerceptionPUB
Ontrup J, Wersing H, Ritter H (2004)
Cognitive Processing 5(1): 32-44. -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1613503A neural network architecture for automatic segmentation of fluorescence micrographsPUB | DOI | WoS
Nattkemper TW, Wersing H, Schubert W, Ritter H (2002)
In: Neurocomputing. NEUROCOMPUTING, 48(1-4). ELSEVIER SCIENCE BV: 357-367. -
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1616820Dynamical stability conditions for recurrent neural networks with unsaturating piecewise linear transfer functionsPUB | DOI | WoS | PubMed | Europe PMC
Wersing H, Beyn W-J, Ritter H (2001)
Neural Computation 13(8): 1811-1825. -
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2142293A Competitive Layer Model for Feature Binding and Sensory SegmentationPUB | DOI | WoS | PubMed | Europe PMC
Wersing H, Steil JJ, Ritter H (2001)
Neural Computation 13(2): 357-387. -
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2375211A Neural Network Architecture for Automatic Segmentation of Fluorescence MicrographsPUB
Nattkemper TW, Wersing H, Schubert W, Ritter H (2000)
In: Proc. of the 8th Europ. Symp. on Art. Neur. Netw. (ESANN). Verleysen M (Ed); . -
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2374799Fluorescence Micrograph Segmentation by Gestalt-Based Feature BindingPUB
Nattkemper TW, Wersing H, Schubert W, Ritter H (2000)
In: Proc. of the Int. Joint Conf. on Neur. Netw. (IJCNN)., 1. Como, Italy: 248-254. -
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714744Automatic Evaluation of Multi-Parameter Fluorescence Micrographs with a Neural Network ArchitecturePUB
Nattkemper TW, Wersing H, Schubert W, Ritter H (2000)
In: Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS '00., 2. Las Vegas, USA: 739-744. -
2000 | Dissertation | PUB-ID: 2434189Spatial feature binding and learning in competitive neural layer architecturesPUB
Wersing H (2000)
Göttingen: Cuvillier. -
1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714834Backtracking Deterministic Annealing for Constraint Satisfaction ProblemsPUB
Wersing H, Ritter H (1999)
In: ICANN 99, Ninth Int. Conf. Artifical Neural Netwworks. Conference Publication / IEE, 470. London: IEE: 868-875. -
1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2714852Feature Binding and Relaxation Labeling with the Competitive Layer ModelPUB
Wersing H, Ritter H (1999)
In: Proceedings. ESANN '99, 7th European Symposium on Artificial Neural Networks. Bruges: 295-300. -
1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142325A Layered Recurrent Neural Network for Feature GroupingPUB
Wersing H, Steil JJ, Ritter H (1997)
In: Int. Conf. on Artificial Neural Networks. Gerstner W, Germond A, Hasler M, Nicoud J-D (Eds); 439-444.