Wermter's publications with Knowledge Technology

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 Neurobotics - 2020.

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 Robotics and AI - 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

Virtual or Physical? Social Robots Teaching a Fictional Language Through a Role-Playing Game Inspired by Game of Thrones

Hassan Ali, Shreyans Bhansali, Ilay Köksal, Matthias Möller, Theresa Pekarek-Rosin, Sachin Sharma, Ann-Katrin Thebille, Julian Tobergte, Sören Hübner, Aleksej Logacjov, Ozan Özdemir, Jose Rodriguez Parra, Mariela Sanchez, Nambiar Shruti Surendrakumar, Tayfun Alpay, Sascha Griffiths, Stefan Heinrich, Erik Strahl, Cornelius Weber, Stefan Wermter

International Conference on Social Robotics (ICSR 2019), pages 358--367, doi:10.1007/978-3-030-35888-4_33 - Nov 2019.

Emotion Recognition from Body Expressions with a Neural Network Architecture

Nourhan Elfaramawy, Pablo Barros, German I. Parisi, Stefan Wermter

HAI '17: Proceedings of the 5th International Conference on Human Agent Interaction, pages 143--149, doi:10.1145/3125739.3125772 - Oct 2019.

A Reservoir Computing Framework for Continuous Gesture Recognition

Stephan Tietz, Doreen Jirak, Stefan Wermter

Artificial Neural Networks and Machine Learning – ICANN 2019, pages 7-18 - Sep 2019.

Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples

Marcus Soll, Tobias Hinz, Sven Magg, Stefan Wermter

Artificial Neural Networks and Machine Learning – ICANN 2019, pages 685--696, doi:10.1007/978-3-030-30508-6_54 - Sep 2019.

LipSound: Neural Mel-spectrogram Reconstruction for Lip Reading

Leyuan Qu, Cornelius Weber, Stefan Wermter

The 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019) - Sep 2019. Open Access

Mixed-Reality Deep Reinforcement Learning for a Reach-to-grasp Task

Hadi Beik-Mohammadi, Mohammad Ali Zamani, Matthias Kerzel, Stefan Wermter

Artificial Neural Networks and Machine Learning – ICANN 2019, pages 611-623 - Sep 2019.

The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling

Pablo Barros, Nikhil Churamani, Angelica Lim, Stefan Wermter

Proceedings of the IEEE Conference on Affective Computing and Intelligent Interaction (ACII), pages 311--317, doi:10.1109/ACII.2019.8925530 - Sep 2019.

Compositional Learning of Human Activities With a Self-Organizing Neural Architecture

Luiza Mici, German I. Parisi, Stefan Wermter

Frontiers in Robotics and AI, Volume 6, Number 72, doi:https://doi.org/10.3389/frobt.2019.00072 - Aug 2019. Open Access

Curriculum goal masking for continuous deep reinforcement learning

Manfred Eppe, Sven Magg, Stefan Wermter

2019 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), pages 183--188 - Aug 2019.

Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space

Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter

Proceedings of the Ninth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob), pages 240--246 - Aug 2019.

Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks

Sayantan Auddy, Sven Magg, Stefan Wermter

2019 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), pages 13--18 - Aug 2019.