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Heiko Wersing
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2020 – today
- 2024
- [j27]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. Cogn. Syst. Res. 88: 101286 (2024) - [c74]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. EMNLP 2024: 19459-19475 - [i9]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 abs/2403.12533 (2024) - [i8]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 abs/2406.19170 (2024) - 2023
- [i7]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 abs/2311.14431 (2023) - 2022
- [j26]Jan Philip Göpfert
Interpretable Locally Adaptive Nearest Neighbors. Neurocomputing 470: 344-351 (2022) - [j25]Jan Philip Göpfert
Intuitiveness in Active Teaching. IEEE Trans. Hum. Mach. Syst. 52(3): 458-467 (2022) - [i6]Hendric Voß, Heiko Wersing, Stefan Kopp:
Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning. CoRR abs/2202.03775 (2022) - 2021
- [c73]Hendric Voß
Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning. ICMI Companion 2021: 317-323 - [c72]Nima Nabizadeh, Heiko Wersing, Dorothea Kolossa:
Leveraging Inter-step Dependencies for Information Extraction from Procedural Task Instructions. TDS 2021: 341-353 - 2020
- [j24]Matti Krüger, Tom Driessen
Feeling Uncertain - Effects of a Vibrotactile Belt that Communicates Vehicle Sensor Uncertainty. Inf. 11(7): 353 (2020) - [j23]Christian Limberg
Beyond Cross-Validation - Accuracy Estimation for Incremental and Active Learning Models. Mach. Learn. Knowl. Extr. 2(3): 327-346 (2020) - [j22]Martina Hasenjäger
A Survey of Personalization for Advanced Driver Assistance Systems. IEEE Trans. Intell. Veh. 5(2): 335-344 (2020) - [c71]Matti Krüger, Christiane B. Wiebel-Herboth, Heiko Wersing:
The Lateral Line: Augmenting Spatiotemporal Perception with a Tactile Interface. AHs 2020: 6:1-6:10 - [c70]Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Locally Adaptive Nearest Neighbors. ESANN 2020: 667-672 - [c69]Christian Limberg
Prototype-Based Online Learning on Homogeneously Labeled Streaming Data. ICANN (2) 2020: 204-213 - [c68]Bernhard Sendhoff, Heiko Wersing:
Cooperative Intelligence - A Humane Perspective. ICHMS 2020: 1-6 - [c67]Christian Limberg
Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot. ICONIP (2) 2020: 738-749 - [c66]Jan Philip Göpfert, André Artelt
Adversarial Attacks Hidden in Plain Sight. IDA 2020: 235-247 - [c65]Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet:
Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift. IJCNN 2020: 1-8 - [i5]Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Locally Adaptive Nearest Neighbors. CoRR abs/2011.03904 (2020) - [i4]Jan Philip Göpfert, Ulrike Kuhl, Lukas Hindemith, Heiko Wersing, Barbara Hammer:
Intuitiveness in Active Teaching. CoRR abs/2012.13551 (2020)
2010 – 2019
- 2019
- [c64]Jan Philip Göpfert
Recovering Localized Adversarial Attacks. ICANN (1) 2019: 302-311 - [c63]Christian Limberg
Active Learning for Image Recognition Using a Visualization-Based User Interface. ICANN (2) 2019: 495-506 - [c62]Viktor Losing, Taizo Yoshikawa, Martina Hasenjäger, Barbara Hammer
Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units. ICRA 2019: 9530-9536 - [i3]Jan Philip Göpfert
Adversarial attacks hidden in plain sight. CoRR abs/1902.09286 (2019) - [i2]Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Recovering Localized Adversarial Attacks. CoRR abs/1910.09239 (2019) - 2018
- [j21]Viktor Losing
Incremental on-line learning: A review and comparison of state of the art algorithms. Neurocomputing 275: 1261-1274 (2018) - [j20]Viktor Losing
Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM). Knowl. Inf. Syst. 54(1): 171-201 (2018) - [c61]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: 164-169 - [c60]Christian Limberg, Heiko Wersing, Helge J. Ritter:
Efficient accuracy estimation for instance-based incremental active learning. ESANN 2018 - [c59]Jan Philip Göpfert
Mitigating Concept Drift via Rejection. ICANN (1) 2018: 456-467 - [c58]Christian Limberg
Improving Active Learning by Avoiding Ambiguous Samples. ICANN (1) 2018: 518-527 - [c57]Viktor Losing, Heiko Wersing, Barbara Hammer
Enhancing Very Fast Decision Trees with Local Split-Time Predictions. ICDM 2018: 287-296 - 2017
- [c56]Matti Krüger, Christiane B. Wiebel, Heiko Wersing:
From Tools Towards Cooperative Assistants. HAI 2017: 287-294 - [c55]Viktor Losing, Barbara Hammer
Self-Adjusting Memory: How to Deal with Diverse Drift Types. IJCAI 2017: 4899-4903 - [c54]Martina Hasenjäger
Personalization in advanced driver assistance systems and autonomous vehicles: A review. ITSC 2017: 1-7 - [c53]Viktor Losing, Barbara Hammer
Personalized maneuver prediction at intersections. ITSC 2017: 1-6 - 2016
- [j19]Lydia Fischer, Barbara Hammer
Optimal local rejection for classifiers. Neurocomputing 214: 445-457 (2016) - [c52]Nadja Schömig, Martin Heckmann
Assistance-On-Demand: a Speech-Based Assistance System for Urban Intersections. AutomotiveUI (adjunct) 2016: 51-56 - [c51]Viktor Losing, Barbara Hammer, Heiko Wersing:
Choosing the best algorithm for an incremental on-line learning task. ESANN 2016 - [c50]Viktor Losing, Barbara Hammer
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift. ICDM 2016: 291-300 - [c49]Lydia Fischer, Barbara Hammer
Online metric learning for an adaptation to confidence drift. IJCNN 2016: 748-755 - 2015
- [j18]Lydia Fischer, Barbara Hammer
Efficient rejection strategies for prototype-based classification. Neurocomputing 169: 334-342 (2015) - [c48]Lydia Fischer, Barbara Hammer, Heiko Wersing:
Certainty-based prototype insertion/deletion for classification with metric adaptation. ESANN 2015 - [c47]Lydia Fischer, Barbara Hammer
Combining offline and online classifiers for life-long learning. IJCNN 2015: 1-8 - [c46]Viktor Losing, Barbara Hammer
Interactive online learning for obstacle classification on a mobile robot. IJCNN 2015: 1-8 - [i1]Lydia Fischer, Barbara Hammer
Optimum Reject Options for Prototype-based Classification. CoRR abs/1503.06549 (2015) - 2014
- [c45]Lydia Fischer, Barbara Hammer, Heiko Wersing:
Rejection strategies for learning vector quantization. ESANN 2014 - [c44]Lydia Fischer, Barbara Hammer
Local Rejection Strategies for Learning Vector Quantization. ICANN 2014: 563-570 - [c43]Lydia Fischer, David Nebel, Thomas Villmann, Barbara Hammer
Rejection Strategies for Learning Vector Quantization - A Comparison of Probabilistic and Deterministic Approaches. WSOM 2014: 109-118 - 2013
- [c42]Christian Lang, Sven Wachsmuth, Marc Hanheide
Facial communicative signal interpretation in human-robot interaction by discriminative video subsequence selection. ICRA 2013: 170-177 - 2012
- [j17]Christian Lang, Sven Wachsmuth
Facial Communicative Signals - Valence Recognition in Task-Oriented Human-Robot Interaction. Int. J. Soc. Robotics 4(3): 249-262 (2012) - [j16]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: 90-105 (2012) - [c41]Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing:
Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps. ICPRAM (2) 2012: 585-589 - 2011
- [j15]Alexander Andreopoulos, Stephan Hasler, Heiko Wersing, Herbert Janssen, John K. Tsotsos
Active 3D Object Localization Using a Humanoid Robot. IEEE Trans. Robotics 27(1): 47-64 (2011) - [c40]Stephan Kirstein, Heiko Wersing:
A biologically inspired approach for interactive learning of categories. ICDL-EPIROB 2011: 1-6 - 2010
- [c39]Christian Lang, Sven Wachsmuth
Facial expressions as feedback cue in human-robot interaction - a comparison between human and automatic recognition performances. CVPR Workshops 2010: 79-85 - [c38]Alexander Denecke, Irene Ayllón Clemente, Heiko Wersing, Julian Eggert, Jochen Jakob Steil:
Figure-ground Segmentation using Metrics Adaptation in Level Set Methods. ESANN 2010 - [c37]Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing:
Finding correlations in multimodal data using decomposition approaches. ESANN 2010 - [c36]Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing:
Correlating Shape and Functional Properties Using Decomposition Approaches. FLAIRS 2010 - [c35]Mathias Franzius, Heiko Wersing:
Learning Invariant Visual Shape Representations from Physics. ICANN (3) 2010: 298-302 - [c34]Samuel John, Heiko Wersing, Helge J. Ritter:
An iterative approach to local-PCA. IJCNN 2010: 1-6 - [c33]Stephan Kirstein, Heiko Wersing, Edgar Körner:
Towards autonomous bootstrapping for life-long learning categorization tasks. IJCNN 2010: 1-8 - [c32]Jens Schmüdderich, Nils Einecke
System approach for multi-purpose representations of traffic scene elements. ITSC 2010: 1677-1684
2000 – 2009
- 2009
- [j14]Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner:
Online figure-ground segmentation with adaptive metrics in generalized LVQ. Neurocomputing 72(7-9): 1470-1482 (2009) - [j13]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): 291-304 (2009) - [j12]Kenji Hosoda, Masataka Watanabe
A Model for Learning Topographically Organized Parts-Based Representations of Objects in Visual Cortex: Topographic Nonnegative Matrix Factorization. Neural Comput. 21(9): 2605-2633 (2009) - [c31]Stephan Hasler, Heiko Wersing, Stephan Kirstein, Edgar Körner:
Large-Scale Real-Time Object Identification Based on Analytic Features. ICANN (2) 2009: 663-672 - [c30]Christian Lang, Marc Hanheide
Feedback interpretation based on facial expressions in human-robot interaction. RO-MAN 2009: 189-194 - [c29]Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner:
Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ. WSOM 2009: 45-53 - [p1]Julian Eggert, Heiko Wersing:
Approaches and Challenges for Cognitive Vision Systems. Creating Brain-Like Intelligence 2009: 215-247 - 2008
- [j11]Stephan Kirstein, Heiko Wersing, Edgar Körner:
A biologically motivated visual memory architecture for online learning of objects. Neural Networks 21(1): 65-77 (2008) - [c28]Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner:
Robust object segmentation by adaptive metrics in Generalized LVQ. ESANN 2008: 319-324 - [c27]Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, Edgar Körner:
A Vector Quantization Approach for Life-Long Learning of Categories. ICONIP (1) 2008: 805-812 - [c26]Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, Edgar Körner:
An Integrated System for Incremental Learning of Multiple Visual Categories. ICONIP (1) 2008: 813-820 - [c25]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: 383-392 - [c24]Zdravko Bozakov, Lars Gräning, Stephan Hasler, Heiko Wersing, Stefan Menzel:
Unsupervised extraction of design components for a 3D parts-based representation. IJCNN 2008: 2009-2016 - 2007
- [j10]Heiko Wersing, Stephan Kirstein, Michael Götting, Holger Brandl
Online Learning of Objects in a Biologically Motivated Visual Architecture. Int. J. Neural Syst. 17(4): 219-230 (2007) - [j9]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): 1235-1246 (2007) - [j8]Stephan Hasler, Heiko Wersing, Edgar Körner:
Combining Reconstruction and Discrimination with Class-Specific Sparse Coding. Neural Comput. 19(7): 1897-1918 (2007) - [c23]Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Christian Goerick:
A hierarchical model for syllable recognition. ESANN 2007: 573-578 - [c22]Christian Goerick, Bram Bolder, Herbert Janssen, Michael Gienger, Hisashi Sugiura
Towards incremental hierarchical behavior generation for humanoids. Humanoids 2007: 248-255 - [c21]Stephan Hasler, Heiko Wersing, Edgar Körner:
A Comparison of Features in Parts-Based Object Recognition Hierarchies. ICANN (2) 2007: 210-219 - [c20]Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Stefan Menzel, Bernhard Sendhoff, Christian Goerick:
Word Recognition with a Hierarchical Neural Network. NOLISP 2007: 142-151 - 2006
- [j7]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): 843-862 (2006) - [c19]Jochen J. Steil, Heiko Wersing:
Recent trends in online learning for cognitive robots. ESANN 2006: 77-87 - [c18]Michael Götting, Jochen J. Steil, Heiko Wersing, Edgar Körner, Helge J. Ritter:
Adaptive scene-dependent filters in online learning environments. ESANN 2006: 101-106 - [c17]Christian Goerick, Inna Mikhailova, Heiko Wersing, Stephan Kirstein:
Biologically motivated visual behaviors for humanoids: Learning to interact and learning in interaction. Humanoids 2006: 48-55 - [c16]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: 508-517 - 2005
- [j6]Georg Schneider, Heiko Wersing, Bernhard Sendhoff
Evolutionary optimization of a hierarchical object recognition model. IEEE Trans. Syst. Man Cybern. Part B 35(3): 426-437 (2005) - [c15]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: 2691-2698 - [c14]Stephan Kirstein, Heiko Wersing, Edgar Körner:
Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture. DAGM-Symposium 2005: 301-308 - [c13]Christian Goerick, Heiko Wersing, Inna Mikhailova, Mark Dunn:
Peripersonal space and object recognition for humanoids. Humanoids 2005: 387-392 - [c12]Stephan Hasler, Heiko Wersing, Edgar Körner:
Class-Specific Sparse Coding for Learning of Object Representations. ICANN (1) 2005: 475-480 - [c11]Stephan Kirstein, Heiko Wersing, Edgar Körner:
Online Learning for Object Recognition with a Hierarchical Visual Cortex Model. ICANN (1) 2005: 487-492 - 2004
- [j5]Jörg Ontrup, Heiko Wersing, Helge J. Ritter:
A computational feature binding model of human texture perception. Cogn. Process. 5(1): 31-44 (2004) - [c10]Alexandro Mark, Bernhard Sendhoff, Heiko Wersing:
A decision making framework for game playing using evolutionary optimization and learning. IEEE Congress on Evolutionary Computation 2004: 373-380 - [c9]Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner:
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model. PPSN 2004: 662-671 - 2003
- [j4]Heiko Wersing, Edgar Körner:
Learning Optimized Features for Hierarchical Models of Invariant Object Recognition. Neural Comput. 15(7): 1559-1588 (2003) - [c8]Heiko Wersing, Julian Eggert, Edgar Körner:
Sparse Coding with Invariance Constraints. ICANN 2003: 385-392 - 2002
- [j3]Tim W. Nattkemper
A neural network architecture for automatic segmentation of fluorescence micrographs. Neurocomputing 48(1-4): 357-367 (2002) - [c7]Heiko Wersing, Edgar Körner:
Unsupervised Learning of Combination Features for Hierarchical Recognition Models. ICANN 2002: 1225-1230 - 2001
- [j2]Heiko Wersing, Jochen J. Steil, Helge J. Ritter:
A Competitive-Layer Model for Feature Binding and Sensory Segmentation. Neural Comput. 13(2): 357-387 (2001) - [j1]Heiko Wersing, Wolf-Jürgen Beyn, Helge J. Ritter:
Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions. Neural Comput. 13(8): 1811-1825 (2001) - [c6]Heiko Wersing, Helge J. Ritter:
Using Maximal Recurrence in Linear Threshold Competitive Layer Networks. ICANN 2001: 799-805 - [c5]Heiko Wersing:
Learning Lateral Interactions for Feature Binding and Sensory Segmentation. NIPS 2001: 1009-1016 - 2000
- [b1]Heiko Wersing:
Spatial feature binding and learning in competitive neural layer architectures. Cuvillier 2000, ISBN 978-3-89712-925-2, pp. 1-153 - [c4]Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge J. Ritter:
A neural network architecture for automatic segmentation of fluorescence micrographs. ESANN 2000: 177-182 - [c3]Tim W. Nattkemper, Heiko Wersing, Helge J. Ritter, Walter Schubert:
Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. IJCNN (1) 2000: 348-353
1990 – 1999
- 1999
- [c2]Heiko Wersing, Helge J. Ritter:
Feature binding and relaxation labeling with the competitive layer model. ESANN 1999: 295-300 - 1997
- [c1]Heiko Wersing, Jochen J. Steil, Helge J. Ritter:
A Layered Recurrent Neural Network for Feature Grouping. ICANN 1997: 439-444
Coauthor Index
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last updated on 2024-11-15 20:39 CET by the dblp team
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