Selection of Publications


Discrete Time Backpropagation:

Duro, R.J., and Santos, J., “Modeling Temporal Series Through Synaptic Delay Based Neural Networks”, Neural Computing and Applications, Vol. 11, pp. 224-237, 2003. Abstract.

Santos, J. and Duro, R.J, “Pi Units in Temporal Time Delay Based Networks Trained with Discrete Time Backpropagation”, International Journal of Computers, Systems and Signals, Vol. 2, No. 1, pp. 31-42, 2001. Abstract.

Santos, J. and Duro, R.J., “Influence of Noise on Discrete Time Backpropagation Trained Networks”, Neurocomputing, Vol 41, No. 1-4, pp. 67-89, 2001. Abstract.

Duro, R.J., and Santos, J., “Discrete Time Backpropagation for Training Synaptic Delay Based Artificial Neural Networks”, IEEE Transactions on Artificial Neural Networks, Vol. 10, No. 4, pp. 779-789, July 1999. Abstract.

Gaussian Synapse Networks:

Becerra, J.A., Santos, J. and Duro, R.J. “Self Pruning Gaussian Synapse Networks for Behavior Based Robots”, Artificial Neural Networks - Lecture Notes in Computer Science, Vol. 2415, pp. 837-843, Springer-Verlag, Berlín 2002. Abstract

Duro, R.J., Crespo, J.L., and Santos, J., “Training Higher Order Gaussian Synapses”, Foundations and Tools for Neural Modeling, Lecture Notes in Computer Science, pp. 537-545, Vol. 1606, Springer-Verlag, Berlín 1999. Abstract.

Hybrid Systems:

Santos, J., Cabarcos, M., Otero, R.P., and Mira, J., “Parallelization of Connectionist Models Based on a Symbolic Formalism”, Biological and Artificial Computation: From Neuroscience to Technology, J. Mira, R. Moreno-Díaz and J. Cabestany (Eds.), Lecture Notes in Computer Science, Vol. 1240, pp. 304-312, Springer-Verlag, Berlín, 1997.

Santos, J., Lorenzo, D., Gómez, S., Heras, J., and Otero, R.P., “Knowledge Refinement of an Expert System Using a Symbolic-connectionist Approach”, Artificial Intelligence in Medicine, E. Keravnou., C. Garbay, R. Baud, and J. Wyatt (Eds.), Lecture Notes in Artificial Intelligence, Vol. 1211, pp. 517-520, Springer-Verlag, Berlín, 1997.

Santos, J., Otero, R.P., and Mira, J., “NETTOOL: A Hybrid Connectionist-Symbolic Development Environment”, From Natural to Artificial Neural Computation, Lecture Notes in Computer Science, Vol. 930, pp. 658-665, Springer-Verlag, Berlín, 1995.

Bioinformatics:

Santos, J., “Codon Based Amino Acid Encoding for the Neural Network Prediction of Protein Secondary Structure”, Proceedings of the 5th Spanish Bioinformatics Conference, pp. 101-106, Barcelona, 2004. Abstract