Wermter's publications with Knowledge Technology
Publications in 2020
INTERSPEECH2020, doi:ARXIV:2005.08335 - Oct 2020.

International Conference on Artificial Neural Networks (ICANN), Volume LNCS 12397, pages 786-797, doi:10.1007/978-3-030-61616-8_63 - Oct 2020.
Artificial Neural Networks and Machine Learning – ICANN 2020, pages 533-545, doi:10.1007/978-3-030-61616-8_43 - Oct 2020.
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)


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

Workshop on Affective Shared Perception, ICDL 2020 - Oct 2020.

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


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


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


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

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


Frontiers in Neurorobotics, Volume 12, doi:10.3389/fnbot.2020.00028 - Jun 2020.

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

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.

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


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

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

The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), pages 1--1, doi:10.1609/aaai.v34i04.6037 - Feb 2020.

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

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


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

Springer International Publishing, doi:10.1007/978-3-030-61609-0 - 2020.
Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN’20), pages 591--596 - 2020.
Publications in 2019
Frontiers in Robotics and AI, Volume 6, Number 137, doi:https://doi.org/10.3389/frobt.2019.00137 - Dec 2019.
