Wermter's publications with Knowledge Technology

Automatically augmenting an emotion dataset improves classification using audio

Egor Lakomkin, Cornelius Weber, Stefan Wermter

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, Volume 2, pages 194--197, doi:ARXIV:1803.11506 - Apr 2017.

Improving Robot Motor Learning with Negatively Valenced Reinforcement Signals

Nicolás Navarro-Guerrero, Robert Lowe, Stefan Wermter

Frontiers in Neurorobotics, Volume 11, Number 10, doi:10.3389/fnbot.2017.00010 - Apr 2017. Open Access

A Deep Neural Model for Emotion-Driven Multimodal Attention

German I. Parisi, Pablo Barros, Haiyan Wu, Guochun Yang, Zhenghan Li, Xun Liu, Stefan Wermter

AAAI Spring Symposium Series, pages 482--485 - Mar 2017.

Emotion-modulated attention improves expression recognition: A deep learning model

Pablo Barros, German I. Parisi, Stefan Wermter, Cornelius Weber

Neurocomputing, Volume 253, pages 104--114, doi:10.1016/j.neucom.2017.01.096 - Mar 2017. Open Access

Lifelong Learning of Action Representations with Deep Neural Self-Organization

German I. Parisi, Stefan Wermter

AAAI Spring Symposium Series, pages 608--612 - Mar 2017.

A Compressing Auto-encoder as a Developmental Model of Grid Cells

Anthony Kiggundu, Cornelius Weber, Stefan Wermter

Abstract Collection of the 1st Human Brain Project (HBP) Student Conference, pages 35--37, doi:10.3389/978-2-88945-421-1 - Feb 2017.

Crossmodal language grounding, learning, and teaching

Stefan Heinrich, Cornelius Weber, Stefan Wermter, Ruobing Xie, Yankei Lin, Zhiyuan Liu

Proceedings of the NIPS2016 Workshop on Cognitive Computation (CoCo@NIPS2016), pages 62--68 - Dec 2016.

Training Agents with Interactive Reinforcement Learning and Contextual Affordances

Francisco Cruz, Sven Magg, Cornelius Weber, Stefan Wermter

IEEE Transactions on Cognitive and Developmental Systems, Volume 8, Number 4, pages 271--284, doi:10.1109/TCDS.2016.2543839 - Dec 2016. Open Access

Developing crossmodal expression recognition based on a deep neural model

Pablo Barros, Stefan Wermter

Adaptive Behavior, Volume 24, Number 5, pages 273--396, doi:10.1177/1059712316664017 - Oct 2016. Open Access

Multi-modal Integration of Dynamic Audiovisual Patterns for an Interactive Reinforcement Learning Scenario

Francisco Cruz, German I. Parisi, Johannes Twiefel, Stefan Wermter

IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 759--766, doi:10.1109/IROS.2016.7759137 - Oct 2016.

Multi-modal Integration of Speech and Gestures for Interactive Robot Scenarios

Francisco Cruz, German I. Parisi, Stefan Wermter

IEEE/RSJ International Conference on Intelligent Robots and Systems, Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics - Oct 2016.

A Robotic Home Assistant with Memory Aid Functionality

Iris Wieser, Sibel Toprak, Andreas Grenzing, Tobias Hinz, Sayantan Auddy, Ethem Can Karaoğuz, Abhilash Chandran, Melanie Remmels, Ahmed El Shinawi, Josip Josifovski, Leena Chennuru Vankadara, Faiz Ul Wahab, Alireza M. Bahnemiri, Debasish Sahu, Stefan Heinrich, Nicolás Navarro-Guerrero, Erik Strahl, Johannes Twiefel, Stefan Wermter

Proceedings of the 39th German Conference on Artificial Intelligence (KI2016), Volume 9904, pages 102--115, doi:10.1007/978-3-319-46073-4_8 - Sep 2016.

Learning Multiple Timescales in Recurrent Neural Networks

Tayfun Alpay, Stefan Heinrich, Stefan Wermter

Proceedings of the 25th International Conference on Artificial Neural Networks (ICANN 2016), Volume 9886, pages 132--139, doi:10.1007/978-3-319-44778-0_16 - Sep 2016.

Recognition of Transitive Actions with Hierarchical Neural Network Learning

Luiza Mici, German I. Parisi, Stefan Wermter

Proceedings of the 25th International Conference on Artificial Neural Networks, pages 472--479, doi:10.1007/978-3-319-44781-0_56 - Sep 2016.

Recurrent Neural Network for syntax learning with flexible predicates for robotic architectures

Xavier Hinaut, Johannes Twiefel, Stefan Wermter

2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), doi:10.1109/DEVLRN.2016.7846807 - Sep 2016.

The Effects of Regularization on Learning Facial Expressions with Convolutional Neural Networks

Tobias Hinz, Pablo Barros, Stefan Wermter

Proceedings of the 25th International Conference on Artificial Neural Networks (ICANN 2016), pages 80--87, doi:10.1007/978-3-319-44781-0_10 - Sep 2016.

Towards Effective Classification of Imbalanced Data with Convolutional Neural Networks

Vidwath Raj, Sven Magg, Stefan Wermter

Artificial Neural Networks in Pattern Recognition, doi:https://doi.org/10.1007/978-3-319-46182-3_13 - Sep 2016.

A Robotic Home Assistant with Memory Aid Functionality

Iris Wieser, Sibel Toprak, Andreas Grenzing, Tobias Hinz, Sayantan Auddy, Ethem Can Karaoğuz, Abhilash Chandran, Melanie Remmels, Ahmed El Shinawi, Josip Josifovski, Leena Chennuru Vankadara, Faiz Ul Wahab, Alireza M. Bahnemiri, Debasish Sahu, Stefan Heinrich, Nicolás Navarro-Guerrero, Erik Strahl, Johannes Twiefel, Stefan Wermter

Video Session of 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2016), pages 369 - Aug 2016.

Emergence of Multimodal Action Representations from Neural Network Self-Organization

German I. Parisi, Jun Tani, Cornelius Weber, Stefan Wermter

Cognitive Systems Research, Volume 43, doi:10.1016/j.cogsys.2016.08.002 - Aug 2016.

Human Motion Assessment in Real Time Using Recurrent Self-Organization

German I. Parisi, Sven Magg, Stefan Wermter

Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pages 71--76, doi:10.1109/ROMAN.2016.7745093 - Aug 2016.