S. Wermter

A time-based self-organising model for document clustering

Chihli Hung, S. Wermter, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

A recurrent neural network for sound-source motion tracking and prediction

S. Wermter, J.C. Murray, H. Erwin, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Spatio-temporal neural data mining architecture in learning robots

S. Wermter, M. Elshaw, J. Malone, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

An associator network approach to robot learning by imitation through vision, motor control and language

S. Wermter, M. Elshaw, C. Weber, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

A constructive and hierarchical self-organizing model in a non-stationary environment

Chihli Hung, S. Wermter, S. Wermter, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Self organising neural place codes for vision based robot navigation

S. Wermter, K. Burn, K. Chokshi, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Connectionist symbol processing : dead or alive ?

Lokendra Shastri, Dan Roth, C. L. Giles, 1999 .

Analyzing the Influence of Dataset Composition for Emotion Recognition pdf

S. Wermter, A. Sutherland, S. Magg, 2021, ArXiv.