Prof Dr Stefan Wermter
Cited by
Cited by
Continual lifelong learning with neural networks: A review
GI Parisi, R Kemker, JL Part, C Kanan, S Wermter
Neural networks 113, 54-71, 2019
An overview of hybrid neural systems
S Wermter, R Sun
International Workshop on Hybrid Neural Systems, 1-13, 1998
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
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
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
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
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
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
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
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
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
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
The OMG-emotion behavior dataset
P Barros, N Churamani, E Lakomkin, H Siqueira, A Sutherland, S Wermter
Proceedings of the International Joint Conference on Neural Networks (IJCNN†…, 2018
Generating multiple objects at spatially distinct locations
T Hinz, S Heinrich, S Wermter
arXiv preprint arXiv:1901.00686, 2019
Hybrid connectionist natural language processing
S Wermter
Chapman & Hall, 1995
Survey on reinforcement learning for language processing
V Uc-Cetina, N Navarro-Guerrero, A Martin-Gonzalez, C Weber, ...
Artificial Intelligence Review 56 (2), 1543-1575, 2023
Connectionist, statistical and symbolic approaches to learning for natural language processing
S Wermter, E Riloff, G Scheler
Springer, 1996
Developing crossmodal expression recognition based on a deep neural model
P Barros, S Wermter
Adaptive behavior 24 (5), 373-396, 2016
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
Self-organizing neural integration of pose-motion features for human action recognition
GI Parisi, C Weber, S Wermter
Frontiers in Neurorobotics 9, 3, 2015
The system can't perform the operation now. Try again later.
Articles 1–20