Heiko Wersing

Orcid: 0000-0001-8481-2396

According to our database1, Heiko Wersing authored at least 104 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions.
CoRR, 2024

2023
What you need to know about a learning robot: Identifying the enabling architecture of complex systems.
CoRR, 2023

2022
Intuitiveness in Active Teaching.
IEEE Trans. Hum. Mach. Syst., 2022

Interpretable Locally Adaptive Nearest Neighbors.
Neurocomputing, 2022

2021
Leveraging Inter-step Dependencies for Information Extraction from Procedural Task Instructions.
Proceedings of the Text, Speech, and Dialogue - 24th International Conference, 2021

Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning.
Proceedings of the ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction, Montreal, QC, Canada, October 18, 2021

2020
A Survey of Personalization for Advanced Driver Assistance Systems.
IEEE Trans. Intell. Veh., 2020

Beyond Cross-Validation - Accuracy Estimation for Incremental and Active Learning Models.
Mach. Learn. Knowl. Extr., 2020

Feeling Uncertain - Effects of a Vibrotactile Belt that Communicates Vehicle Sensor Uncertainty.
Inf., 2020

Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adversarial Attacks Hidden in Plain Sight.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Cooperative Intelligence - A Humane Perspective.
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

Prototype-Based Online Learning on Homogeneously Labeled Streaming Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Locally Adaptive Nearest Neighbors.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

The Lateral Line: Augmenting Spatiotemporal Perception with a Tactile Interface.
Proceedings of the Augmented Humans International Conference, 2020

2019
Adversarial attacks hidden in plain sight.
CoRR, 2019

Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units.
Proceedings of the International Conference on Robotics and Automation, 2019

Active Learning for Image Recognition Using a Visualization-Based User Interface.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Recovering Localized Adversarial Attacks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018
Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM).
Knowl. Inf. Syst., 2018

Incremental on-line learning: A review and comparison of state of the art algorithms.
Neurocomputing, 2018

Enhancing Very Fast Decision Trees with Local Split-Time Predictions.
Proceedings of the IEEE International Conference on Data Mining, 2018

Improving Active Learning by Avoiding Ambiguous Samples.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Mitigating Concept Drift via Rejection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Efficient accuracy estimation for instance-based incremental active learning.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Approach for Enhancing the Perception and Prediction of Traffic Dynamics with a Tactile Interface.
Proceedings of the Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2018

2017
Personalized maneuver prediction at intersections.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Personalization in advanced driver assistance systems and autonomous vehicles: A review.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Self-Adjusting Memory: How to Deal with Diverse Drift Types.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

From Tools Towards Cooperative Assistants.
Proceedings of the 5th International Conference on Human Agent Interaction, 2017

2016
Optimal local rejection for classifiers.
Neurocomputing, 2016

Online metric learning for an adaptation to confidence drift.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Choosing the best algorithm for an incremental on-line learning task.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Assistance-On-Demand: a Speech-Based Assistance System for Urban Intersections.
Proceedings of the Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2016

2015
Efficient rejection strategies for prototype-based classification.
Neurocomputing, 2015

Optimum Reject Options for Prototype-based Classification.
CoRR, 2015

Interactive online learning for obstacle classification on a mobile robot.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Combining offline and online classifiers for life-long learning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Certainty-based prototype insertion/deletion for classification with metric adaptation.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014
Rejection Strategies for Learning Vector Quantization - A Comparison of Probabilistic and Deterministic Approaches.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

Local Rejection Strategies for Learning Vector Quantization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Rejection strategies for learning vector quantization.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013
Facial communicative signal interpretation in human-robot interaction by discriminative video subsequence selection.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012
A life-long learning vector quantization approach for interactive learning of multiple categories.
Neural Networks, 2012

Facial Communicative Signals - Valence Recognition in Task-Oriented Human-Robot Interaction.
Int. J. Soc. Robotics, 2012

Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps.
Proceedings of the ICPRAM 2012, 2012

2011
Active 3D Object Localization Using a Humanoid Robot.
IEEE Trans. Robotics, 2011

A biologically inspired approach for interactive learning of categories.
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

2010
System approach for multi-purpose representations of traffic scene elements.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

Towards autonomous bootstrapping for life-long learning categorization tasks.
Proceedings of the International Joint Conference on Neural Networks, 2010

An iterative approach to local-PCA.
Proceedings of the International Joint Conference on Neural Networks, 2010

Learning Invariant Visual Shape Representations from Physics.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Correlating Shape and Functional Properties Using Decomposition Approaches.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

Finding correlations in multimodal data using decomposition approaches.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Figure-ground Segmentation using Metrics Adaptation in Level Set Methods.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Facial expressions as feedback cue in human-robot interaction - a comparison between human and automatic recognition performances.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Approaches and Challenges for Cognitive Vision Systems.
Proceedings of the Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems, 2009

A Model for Learning Topographically Organized Parts-Based Representations of Objects in Visual Cortex: Topographic Nonnegative Matrix Factorization.
Neural Comput., 2009

A vision architecture for unconstrained and incremental learning of multiple categories.
Memetic Comput., 2009

Online figure-ground segmentation with adaptive metrics in generalized LVQ.
Neurocomputing, 2009

Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Feedback interpretation based on facial expressions in human-robot interaction.
Proceedings of the 18th IEEE International Symposium on Robot and Human Interactive Communication, 2009

Large-Scale Real-Time Object Identification Based on Analytic Features.
Proceedings of the Artificial Neural Networks, 2009

2008
A biologically motivated visual memory architecture for online learning of objects.
Neural Networks, 2008

Unsupervised extraction of design components for a 3D parts-based representation.
Proceedings of the International Joint Conference on Neural Networks, 2008

Online Learning for Bootstrapping of Object Recognition and Localization in a Biologically Motivated Architecture.
Proceedings of the Computer Vision Systems, 6th International Conference, 2008

An Integrated System for Incremental Learning of Multiple Visual Categories.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

A Vector Quantization Approach for Life-Long Learning of Categories.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Robust object segmentation by adaptive metrics in Generalized LVQ.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007
Combining Reconstruction and Discrimination with Class-Specific Sparse Coding.
Neural Comput., 2007

Adaptive scene dependent filters for segmentation and online learning of visual objects.
Neurocomputing, 2007

Online Learning of Objects in a Biologically Motivated Visual Architecture.
Int. J. Neural Syst., 2007

Word Recognition with a Hierarchical Neural Network.
Proceedings of the Advances in Nonlinear Speech Processing, 2007

A Comparison of Features in Parts-Based Object Recognition Hierarchies.
Proceedings of the Artificial Neural Networks, 2007

Towards incremental hierarchical behavior generation for humanoids.
Proceedings of the 2007 7th IEEE-RAS International Conference on Humanoid Robots, November 29th, 2007

A hierarchical model for syllable recognition.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
Learning lateral interactions for feature binding and sensory segmentation from prototypic basis interactions.
IEEE Trans. Neural Networks, 2006

A Biologically Motivated System for Unconstrained Online Learning of Visual Objects.
Proceedings of the Artificial Neural Networks, 2006

Biologically motivated visual behaviors for humanoids: Learning to interact and learning in interaction.
Proceedings of the 2006 6th IEEE-RAS International Conference on Humanoid Robots, 2006

Recent trends in online learning for cognitive robots.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Adaptive scene-dependent filters in online learning environments.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005
Evolutionary optimization of a hierarchical object recognition model.
IEEE Trans. Syst. Man Cybern. Part B, 2005

Online Learning for Object Recognition with a Hierarchical Visual Cortex Model.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Class-Specific Sparse Coding for Learning of Object Representations.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Peripersonal space and object recognition for humanoids.
Proceedings of the 5th IEEE-RAS International Conference on Humanoid Robots, 2005

Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

Co-evolutionary modular neural networks for automatic problem decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
A computational feature binding model of human texture perception.
Cogn. Process., 2004

Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model.
Proceedings of the Parallel Problem Solving from Nature, 2004

A decision making framework for game playing using evolutionary optimization and learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Learning Optimized Features for Hierarchical Models of Invariant Object Recognition.
Neural Comput., 2003

Sparse Coding with Invariance Constraints.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
A neural network architecture for automatic segmentation of fluorescence micrographs.
Neurocomputing, 2002

Unsupervised Learning of Combination Features for Hierarchical Recognition Models.
Proceedings of the Artificial Neural Networks, 2002

2001
A Competitive-Layer Model for Feature Binding and Sensory Segmentation.
Neural Comput., 2001

Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions.
Neural Comput., 2001

Learning Lateral Interactions for Feature Binding and Sensory Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Using Maximal Recurrence in Linear Threshold Competitive Layer Networks.
Proceedings of the Artificial Neural Networks, 2001

2000
Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Spatial feature binding and learning in competitive neural layer architectures.
Cuvillier, ISBN: 978-3-89712-925-2, 2000

1999
Feature binding and relaxation labeling with the competitive layer model.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1997
A Layered Recurrent Neural Network for Feature Grouping.
Proceedings of the Artificial Neural Networks, 1997


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