T. Gautama

Equitable spatiotemporal energy coding in shape from motion modeling

T. Gautama, Marc Van Hulle, 1998 .

Separation of acoustic signals using self-organizing neural networks

T. Gautama, M.M. Van Hulle, 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).

Modeling motion processing in macaque area MT/V5: From single cells to population codes

Marc M. Van Hulle, T. Gautama, 2003 .

TOWARDS QUALITATIVEASSESSMENTOFMACHINE LEARNINGALGORITHMS: UTILISINGSIGNALMODALITY CHARACTERISATION

Mo Chen, Anthony Kuh, T. Gautama, 2006 .

Towards Qualitative Assessment of Machine Learning Algorithms: Utilising Signal Modality Characterisation

T. Gautama, Mo Chen, A. Kuh, 2006, 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing.

A class of Modular Recurrent Neural Networks: Preservation of Signal Modality

Mo Chen, Danilo P. Mandic, Marc M. Van Hulle, 2004 .

A hierarchical density-based clustering analysis of auditory fMRI activation data

T. Gautama, M.M. Van Hulle, F.F. Deleus, 2001, Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Signal Processing Society Workshop (IEEE Cat. No.01TH8584).

Does iterative nonlinear neural adaptive filtering affect the nature of the processed signal?

T. Gautama, M. Van Hulle, D. Mandic, 2004, 7th Seminar on Neural Network Applications in Electrical Engineering, 2004. NEUREL 2004. 2004.