Prof Dr Stefan Wermter
Citado por
Citado por
Continual lifelong learning with neural networks: A review
GI Parisi, R Kemker, JL Part, C Kanan, S Wermter
Neural Networks 113, 54-71, 2019
Hybrid neural systems
S Wermter, S Ron
Springer 1778 (1778), 2000
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
Hybrid neural systems: from simple coupling to fully integrated neural networks
K McGarry, S Wermter, J MacIntyre, SPW St Peter's Campus
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
Hybrid connectionist natural language processing
S Wermter
Chapman & Hall, 1995
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
Connectionist, statistical and symbolic approaches to learning for natural language processing
S Wermter, E Riloff, G Scheler
Springer, 1996
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
Developing crossmodal expression recognition based on a deep neural model
P Barros, S Wermter
Adaptive behavior 24 (5), 373-396, 2016
Self-organizing neural integration of pose-motion features for human action recognition
GI Parisi, C Weber, S Wermter
Frontiers in Neurorobotics 9, 3, 2015
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
Data mining using rule extraction from Kohonen self-organising maps
J Malone, K McGarry, S Wermter, C Bowerman
Neural Computing & Applications 15 (1), 9-17, 2006
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
Multimodal emotional state recognition using sequence-dependent deep hierarchical features
P Barros, D Jirak, C Weber, S Wermter
Neural Networks 72, 140-151, 2015
Neural network agents for learning semantic text classification
S Wermter
Information Retrieval 3 (2), 87-103, 2000
Robotics sound-source localization and tracking using interaural time difference and cross-correlation
JC Murray, H Erwin, S Wermter
AI Workshop on NeuroBotics, 2004
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
Generating multiple objects at spatially distinct locations
T Hinz, S Heinrich, S Wermter
arXiv preprint arXiv:1901.00686, 2019
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Artigos 1–20