Wermter's publications with Knowledge Technology

Exploring Human-Robot Trust Through the Investment Game: An Immersive Space Mission Scenario

Emy Arts, Sebastian Zörner, Kavish Bhatia, Glareh Mir, Florian Schmalzl, Ankit Srivastava, Brenda Vasiljevic, Tayfun Alpay, Annika Peters, Erik Strahl, Stefan Wermter

Proceedings of the 8th International Conference on Human-Agent Interaction (HAI '20), doi:10.1145/3406499.3415078 - Nov 2020. Open Access

Multimodal Target Speech Separation with Voice and Face References

Leyuan Qu, Cornelius Weber, Stefan Wermter

INTERSPEECH2020 - Oct 2020. Open Access

Echo State Networks and Long Short-Term Memory for Continuous Gesture Recognition: a Comparative Study

Doreen Jirak, Stephan Tietz, Hassan Ali, Stefan Wermter

Cognitive Computation, doi:10.1007/s12559-020-09754-0 - Jul 2020.

Integrating Image-based and Knowledge-based Representation Learning

Ruobing Xie, Stefan Heinrich, Zhiyuan Liu, Cornelius Weber, Yuan Yao, Stefan Wermter, Maosong Sun

IEEE Transactions on Cognitive and Developmental Systems, Volume 12, Number 2, pages 169--178, doi:10.1109/TCDS.2019.2906685 - Apr 2020. Open Access

Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks

Henrique Siqueira, Sven Magg, Stefan Wermter

The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), pages 1--1 - Feb 2020. Open Access

Understanding auditory representations of emotional expressions with neural networks

Iris Wieser, Pablo Barros, Stefan Heinrich, Stefan Wermter

Neural Computing and Applications, Volume 32, Number 4, pages 1007–1022, doi:10.1007/s00521-018-3869-3 - Feb 2020. Open Access

Crossmodal Language Grounding in an Embodied Neurocognitive Model

Stefan Heinrich, Yuan Yao, Tobias Hinz, Zhiyuan Liu, Thomas Hummel, Matthias Kerzel, Cornelius Weber, Stefan Wermter

Frontiers in Neurorobotics, doi:10.3389/fnbot.2020.00052 - 2020.

EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators

Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter

Proceedings of The 12th Language Resources and Evaluation Conference (LREC 2020), pages 620--627, doi:https://www.aclweb.org/anthology/2020.lrec-1.78 - 2020. Open Access

Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination

Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter

Robotics and Autonomous Systems, Volume 133, pages 103630, doi:10.1016/j.robot.2020.103630 - 2020. Open Access

Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning

Hadi Beik-Mohammadi, Matthias Kerzel, Benedikt Pleintinger, Thomas Hulin, Philipp Reisich, Annika Schmidt, Aaron Pereira, Stefan Wermter, Neal Y. Lii

Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) - 2020.

New Results on Sparse Autoencoders for Posture Classification and Segmentation

Doreen Jirak, Stefan Wermter

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN’20), pages 187--192 - 2020.

Self-Organizing Kernel-based Convolutional Echo State Network for Human Actions Recognition

Gin Chong Lee, Chu Kiong Loo, Wei Shiung Liew, Stefan Wermter

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN’20), pages 591--596 - 2020.

Solving visual object ambiguities when pointing: an unsupervised learning approach

Doreen Jirak, David Biertimpel, Matthias Kerzel, Stefan Wermter

Neural Computing and Applications, doi:https://doi.org/10.1007/s00521-020-05109-w - 2020. Open Access

Teaching NICO How to Grasp: An Empirical Study on Crossmodal Social Interaction as a Key Factor for Robots Learning from Humans

Matthias Kerzel, Theresa Pekarek-Rosin, Erik Strahl, Stefan Heinrich, Stefan Wermter

Frontiers in Neurorobotics, doi:https://doi.org/10.3389/fnbot.2020.00028 - 2020. Open Access

Variational Autoencoder with Global- and Medium Timescale Auxiliaries for Emotion Recognition from Speech

Hussam Almotlak, Cornelius Weber, Leyuan Qu, Stefan Wermter

International Conference on Artificial Neural Networks (ICANN), Volume LNCS 12396/12397 - 2020.

What Can Computational Models Learn From Human Selective Attention? A Review From an Audiovisual Unimodal and Crossmodal Perspective

Di Fu, Cornelius Weber, Guochun Yang, Matthias Kerzel, Weizhi Nan, Pablo Barros, Haiyan Wu, Xun Liu, Stefan Wermter

Frontiers in Integrative Neuroscience, Volume 14, Number 10, pages 10, doi:10.3389/fnint.2020.00010 - 2020. Open Access

Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification

Pablo Barros, Manfred Eppe, German I. Parisi, Stefan Wermter

Frontiers in Robotics and AI, Volume 6, Number 137, doi:https://doi.org/10.3389/frobt.2019.00137 - Dec 2019. Open Access

Bootstrapping Knowledge Graphs From Images and Text

Jiayuan Mao, Yuan Yao, Stefan Heinrich, Tobias Hinz, Cornelius Weber, Stefan Wermter, Zhiyuan Liu, Maosong Sun

Frontiers in Neurorobotics, Volume 13, Number 93, doi:10.3389/fnbot.2019.00093 - Nov 2019. Open Access

Exploring Low-level and High-level Transfer Learning for Multi-task Facial Recognition with a Semi-supervised Neural Network

Pablo Barros, Erik Fliesswasser, Matthias Kerzel, Stefan Wermter

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 1378--1384 - Nov 2019.

From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving

Manfred Eppe, D.H. Phuong Nguyen, Stefan Wermter

Frontiers in Robotics and AI, Volume 6, pages 123, doi:doi.org/10.3389/frobt.2019.00123 - Nov 2019. Open Access