Wermter's publications with Knowledge Technology

Discourse-wizard: discovering deep discourse structure in your conversation with RNNs

Chandrakant Bothe, Sven Magg, Cornelius Weber, Stefan Wermter

arXiv preprint arXiv:1806.11420 - Jun 2018.

Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks

Tobias Hinz, Nicolás Navarro-Guerrero, Sven Magg, Stefan Wermter

International Journal of Computational Intelligence and Applications, Volume 17, Number 2, pages 1--15, doi:10.1142/S1469026818500086 - Jun 2018. Open Access

A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks

Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter

Eleventh International Conference on Language Resources and Evaluation (LREC 2018), pages 1952--1952 - May 2018. Open Access

A self-organizing neural network architecture for learning human-object interactions

Luiza Mici, German I. Parisi, Stefan Wermter

Neurocomputing, Volume 307, pages 14--24, doi:10.1016/j.neucom.2018.04.015 - May 2018. Open Access

EmoRL: Real-time Acoustic Emotion Classification using Deep Reinforcement Learning

Egor Lakomkin, Mohammad Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter

Proceedings of the International Conference on Robotics and Automation (ICRA), pages 4445--4450, doi:10.1109/ICRA.2018.8461058 - May 2018.

Language-modulated Safer Actions using Deep Reinforcement Learning

Mohammad Ali Zamani, Sven Magg, Cornelius Weber, Stefan Wermter

ICRA PhD Forum - May 2018.

Learning Spatial Representation for Safe Human-Robot Collaboration in Joint Manual Tasks

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

ICRA workshop on the WORKplace is better with intelligent, collaborative, robot MATEs (WORKMATE) - May 2018.

A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition

Henrique Siqueira, Pablo Barros, Sven Magg, Cornelius Weber, Stefan Wermter

European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pages 1--6 - Apr 2018.

An Analysis of Subtask-Dependency in Robot Command Interpretation with Dilated CNNs

Manfred Eppe, Tayfun Alpay, Fares Abawi, Stefan Wermter

Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018), pages 25--30 - Apr 2018.

An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction

Luiza Mici, German I. Parisi, Stefan Wermter

IEEE Transactions on Cognitive and Developmental Systems, Volume 10, Number 4, pages 918--928, doi:10.1109/TCDS.2018.2832844 - Apr 2018. Open Access

Continuous convolutional object tracking

Peer Springstübe, Stefan Heinrich, Stefan Wermter

Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pages 73--78 - Apr 2018.

Image-to-Text Transduction with Spatial Self-Attention

Sebastian Springenberg, Egor Lakomkin, Cornelius Weber, Stefan Wermter

Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pages 43--48 - Apr 2018.

Inferencing Based on Unsupervised Learning of Disentangled Representations

Tobias Hinz, Stefan Wermter

Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) - Apr 2018.

Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic

Burhan Hafez, Matthias Kerzel, Cornelius Weber, Stefan Wermter

Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pages 509--514 - Apr 2018.

Surprisal-Based Activation in Recurrent Neural Networks

Tayfun Alpay, Fares Abawi, Stefan Wermter

Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018), pages 597--602 - Apr 2018.