Wermter's publications with Knowledge Technology

Multimodal Target Speech Separation with Voice and Face References

Leyuan Qu, Cornelius Weber, Stefan Wermter

INTERSPEECH2020, doi:ARXIV:2005.08335 - Oct 2020. Open Access

Neural Networks for Detecting Irrelevant Questions during Visual Question Answering

Mengdi Li, Cornelius Weber, Stefan Wermter

International Conference on Artificial Neural Networks (ICANN), Volume LNCS 12397, pages 786-797, doi:10.1007/978-3-030-61616-8_63 - Oct 2020.

Neuro-Genetic Visuomotor Architecture for Robotic Grasping

Matthias Kerzel, Josua Spisak, Erik Strahl, Stefan Wermter

Artificial Neural Networks and Machine Learning – ICANN 2020, pages 533-545, doi:10.1007/978-3-030-61616-8_43 - Oct 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 - Oct 2020.

Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)

Alexander Sutherland, Suna Bensch, Thomas Hellström, Sven Magg, Stefan Wermter

Artificial Neural Networks and Machine Learning – ICANN 2020, pages 660--671, doi:10.1007/978-3-030-61609-0_52 - Oct 2020.

Towards a data generation framework for affective shared perception and Social cue learning using virtual avatars

Matthias Kerzel, Stefan Wermter

Workshop on Affective Shared Perception, ICDL 2020 - Oct 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, pages 529-540, doi:10.1007/978-3-030-61609-0_42 - Oct 2020.

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), doi:10.1109/RO-MAN47096.2020.9223477 - Sep 2020.

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. 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, Volume 12, doi:10.3389/fnbot.2020.00028 - Jun 2020. Open Access

Curious Hierarchical Actor-Critic Reinforcement Learning

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

Artificial Neural Networks and Machine Learning – ICANN 2020, pages 408--419, doi:10.1007/978-3-030-61616-8_33 - May 2020. Open Access

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 - May 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 - Apr 2020. Open Access

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, doi:10.1609/aaai.v34i04.6037 - 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

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 - Feb 2020. Open Access

Artificial Neural Networks and Machine Learning – ICANN 2020

Igor Farkaš, Paolo Masulli, Stefan Wermter

Springer International Publishing, doi:10.1007/978-3-030-61609-0 - 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.

Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification

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

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