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Prof Dr Stefan Wermter
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Cited by
Year
Continual lifelong learning with neural networks: A review
GI Parisi, R Kemker, JL Part, C Kanan, S Wermter
Neural networks 113, 54-71, 2019
19022019
An overview of hybrid neural systems
S Wermter, R Sun
International Workshop on Hybrid Neural Systems, 1-13, 1998
2851998
An analysis of convolutional long short-term memory recurrent neural networks for gesture recognition
E Tsironi, P Barros, C Weber, S Wermter
Neurocomputing 268, 76-86, 2017
1992017
Hybrid neural systems: from simple coupling to fully integrated neural networks
K McGarry, S Wermter, J MacIntyre
Neural Computing Surveys 2 (1), 62-93, 1999
1601999
Face expression recognition with a 2-channel convolutional neural network
D Hamester, P Barros, S Wermter
2015 International Joint Conference on Neural Networks (IJCNN), 1787-1794, 2015
1342015
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
1192018
Lifelong learning of spatiotemporal representations with dual-memory recurrent self-organization
GI Parisi, J Tani, C Weber, S Wermter
Frontiers in neurorobotics 12 (Article 78), 2018
1182018
Socially assistive robots: a comprehensive approach to extending independent living
DO Johnson, RH Cuijpers, JF Juola, E Torta, M Simonov, A Frisiello, ...
International Journal of Social Robotics 6 (2), 195-211, 2014
1132014
Hybrid connectionist natural language processing
S Wermter
Chapman & Hall, 1995
1111995
Connectionist, statistical and symbolic approaches to learning for natural language processing
S Wermter, E Riloff, G Scheler
Springer, 1996
1031996
Lifelong learning of human actions with deep neural network self-organization
GI Parisi, J Tani, C Weber, S Wermter
Neural Networks 96, 137-149, 2017
1022017
Developing crossmodal expression recognition based on a deep neural model
P Barros, S Wermter
Adaptive behavior 24 (5), 373-396, 2016
1002016
Efficient facial feature learning with wide ensemble-based convolutional neural networks
H Siqueira, S Magg, S Wermter
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5800-5809, 2020
992020
Semantic object accuracy for generative text-to-image synthesis
T Hinz, S Heinrich, S Wermter
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1552-1565, 2022
972022
Self-organizing neural integration of pose-motion features for human action recognition
GI Parisi, C Weber, S Wermter
Frontiers in Neurorobotics 9, 3, 2015
972015
Data mining using rule extraction from Kohonen self-organising maps
J Malone, K McGarry, S Wermter, C Bowerman
Neural Computing & Applications 15, 9-17, 2006
952006
Improved techniques for training single-image gans
T Hinz, M Fisher, O Wang, S Wermter
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer†…, 2021
902021
Generating multiple objects at spatially distinct locations
T Hinz, S Heinrich, S Wermter
arXiv preprint arXiv:1901.00686, 2019
902019
Multimodal emotional state recognition using sequence-dependent deep hierarchical features
P Barros, D Jirak, C Weber, S Wermter
Neural Networks 72, 140-151, 2015
892015
The OMG-emotion behavior dataset
P Barros, N Churamani, E Lakomkin, H Siqueira, A Sutherland, S Wermter
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
882018
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Articles 1–20