Carme Torras

Selected papers on neural learning algorithms

Ruiz de Angulo V. and Torras C.: ``Neural learning methods yielding functional invariance". Theoretical Computer Science, vol. 320, no. 1, pp. 111-121, June 2004.

Ruiz de Angulo V. and Torras C.: ``A deterministic algorithm that emulates learning with random weights". Neurocomputing, vol. 48, no. 1-4, pp. 975-1002, Oct. 2002.

Ruiz de Angulo V. and Torras C.: ``Sequential learning in feedforward networks: proactive and retroactive interference minimization". Proc. Intl. Conf. on Artificial Neural Networks (ICANN-2002), Madrid, Spain, Lecture Notes in Computer Science 2415, pp. 1339-1344, Aug. 2002.

Torras C.: ``Artificial Intelligence and Neural Networks: Guest Editor's Introduction". Intl. Journal of Computational Intelligence and Applications, vol. 1, no. 4, pp. iii-v, Dec. 2001.

Ruiz de Angulo V. and Torras C.: ``Neural learning invariant to network size changes (and 2)". Proc. Intl. Conf. on Artificial Neural Networks (ICANN'01), Vienna, Austria, Lecture Notes in Computer Science 2130, pp. 33-40, Aug. 2001.

Ruiz de Angulo V. and Torras C.: ``Architecture-independent approximation of functions". Neural Computation, vol. 13, no. 5, pp. 1119-1135, May 2001.

Ruiz de Angulo V. and Torras C.: ``A framework to deal with interference in connectionist systems". AI Communications, vol. 13, no. 4, pp. 259-274, 2000.

Ruiz de Angulo V. and Torras C.: ``Learning of nonstationary processes". In ``Neural Network Systems, Techniques and Applications", Vol. 2: ``Optimization Techniques", edited by C.T. Leondes, pp. 175-207, Series in ``Advances in Control and Dynamic Systems", Academic Press, 1998.

Ruiz de Angulo V. and Torras C.: ``On-line learning with minimal degradation in feed-forward networks". IEEE Trans. on Neural Networks, vol. 6, no. 3, pp. 657-668, May 1995.

Ruiz de Angulo V. and Torras C.: ``Random weights and regularization". Proc. Intl. Conf. on Artificial Neural Networks (ICANN'94), Sorrento, May 1994.

Ruiz de Angulo V. and Torras C.: ``Minimally Disturbing Learning". Proc. Intl. Workshop on Artificial Neural Networks (IWANN'91), pp. 162-172, Granada, Sept. 1991.

Torras C.: ``Neuronal Oscillators: Experiments and Models". In ``Statistical Mechanics and Neural Networks", edited by L. Garrido, Lecture Notes in Physics, pp. 65-79, Springer-Verlag, 1990.

Torras C.: ``Exploring three possibilities in network design: Spontaneous node activity, node plasticity and temporal coding". In ``Neural Computers", edited by R. Eckmiller and C. von der Malsburg, pp. 301-310, Springer-Verlag, 1988.

Torras C.: ``On the relationship between two models of neural entrainment". Biological Cybernetics, vol. 57, no. 4-5, pp. 313-319, 1987.

Torras C.: ``Neural network model with rhythm assimilation capacity". IEEE Transactions on Systems, Man and Cybernetics, vol. 16, no. 5, pp. 680-693, Sept/Oct. 1986.

Torras C.: ``Entrainment in pacemakers characterized by a V-shaped PRC". Journal of Mathematical Biology, vol. 24, pp. 291-312, 1986.

Torras C.: ``Pacemaker neuron model with plastic firing rate: Entrainment and learning ranges". Biological Cybernetics, vol. 52, no. 2, pp. 79-91, 1985.