Sven Magg
Sven Magg
Postdoctoral Researcher, Universität Hamburg
Verified email at - Homepage
TitleCited byYear
A multichannel convolutional neural network for hand posture recognition
P Barros, S Magg, C Weber, S Wermter
International Conference on Artificial Neural Networks, 403-410, 2014
Training agents with interactive reinforcement learning and contextual affordances
F Cruz, S Magg, C Weber, S Wermter
IEEE Transactions on Cognitive and Developmental Systems 8 (4), 271-284, 2016
NICO—Neuro-inspired companion: A developmental humanoid robot platform for multimodal interaction
M Kerzel, E Strahl, S Magg, N Navarro-Guerrero, S Heinrich, S Wermter
2017 26th IEEE International Symposium on Robot and Human Interactive …, 2017
An efficient hybridization of genetic algorithms and particle swarm optimization for inverse kinematics
S Starke, N Hendrich, S Magg, J Zhang
2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1782 …, 2016
Interactive reinforcement learning through speech guidance in a domestic scenario
F Cruz, J Twiefel, S Magg, C Weber, S Wermter
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
Human motion assessment in real time using recurrent self-organization
GI Parisi, S Magg, S Wermter
2016 25th IEEE international symposium on robot and human interactive …, 2016
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks
T Hinz, N Navarro-Guerrero, S Magg, S Wermter
International Journal of Computational Intelligence and Applications 17 (02 …, 2018
Towards effective classification of imbalanced data with convolutional neural networks
V Raj, S Magg, S Wermter
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 150-162, 2016
Gasnets and ctrnns–a comparison in terms of evolvability
S Magg, A Philippides
International Conference on Simulation of Adaptive Behavior, 461-472, 2006
Pattern formation in homogeneous and heterogeneous swarms: differences between versatile and specialized agents
S Magg, R te Boekhorst
2007 IEEE Symposium on Artificial Life, 311-316, 2007
Reusing neural speech representations for auditory emotion recognition
E Lakomkin, C Weber, S Magg, S Wermter
arXiv preprint arXiv:1803.11508, 2018
Analysing the multiple timescale recurrent neural network for embodied language understanding
S Heinrich, S Magg, S Wermter
Artificial neural networks, 149-174, 2015
Neural and statistical processing of spatial cues for sound source localisation
J Davila-Chacon, S Magg, J Liu, S Wermter
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
Attention modeled as information in learning multisensory integration
J Bauer, S Magg, S Wermter
Neural Networks 65, 44-52, 2015
Improving reinforcement learning with interactive feedback and affordances
F Cruz, S Magg, C Weber, S Wermter
4th International Conference on Development and Learning and on Epigenetic …, 2014
On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks
E Lakomkin, MA Zamani, C Weber, S Magg, S Wermter
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
Deep reinforcement learning using symbolic representation for performing spoken language instructions
MA Zamani, S Magg, C Weber, S Wermter
2nd Workshop on Behavior Adaptation, Interaction and Learning for Assistive …, 2017
Improving interactive reinforcement learning: What makes a good teacher?
F Cruz, S Magg, Y Nagai, S Wermter
Connection Science 30 (3), 306-325, 2018
Emorl: continuous acoustic emotion classification using deep reinforcement learning
E Lakomkin, MA Zamani, C Weber, S Magg, S Wermter
2018 IEEE International Conference on Robotics and Automation (ICRA), 1-6, 2018
Learning human motion feedback with neural self-organization
GI Parisi, F von Stosch, S Magg, S Wermter
2015 International Joint Conference on Neural Networks (IJCNN), 1-6, 2015
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