Publications

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Author Title Type [ Year(Asc)]
Filters: Keyword is Neural networks and Author is J I Arribas  [Clear All Filters]
2008
Tristán-Vega, A., and J. I. Arribas, "A radius and ulna TW3 bone age assessment system", IEEE Transactions on Biomedical Engineering, vol. 55, pp. 1463-1476, 2008.
2007
Sánchez-Ferrero, G. Vegas, and J. I. Arribas, "A statistical-genetic algorithm to select the most significant features in mammograms", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4673 LNCS, pp. 189-196, 2007.
2005
Arribas, J. I., and J. Cid-Sueiro, "A model selection algorithm for a posteriori probability estimation with neural networks", IEEE Transactions on Neural Networks, vol. 16, pp. 799-809, 2005.
Tristán-Vega, A., and J. I. Arribas, "A radius and ulna skeletal age assessment system", 2005 IEEE Workshop on Machine Learning for Signal Processing, Mystic, CT, 2005.
1999
Cid-Sueiro, J., J. I. Arribas, S. Urban-Munoz, and A. R. Figueiras-Vidal, "Cost functions to estimate a posteriori probabilities in multiclass problems", IEEE Transactions on Neural Networks, vol. 10, pp. 645-656, 1999.
Arribas, J. I., J. Cid-Sueiro, T. Adali, H. Ni, B. Wang, and A. R. Figueiras-Vidal, "Estimates of constrained multi-class a posteriori probabilities in time series problems with neural networks", Proceedings of the International Joint Conference on Neural Networks, Washington, DC, USA, IEEE, United States, 1999.
Arribas, J. I., J. Cid-Sueiro, T. Adali, and A. R. Figueiras-Vidal, "Neural architectures for parametric estimation of a posteriori probabilities by constrained conditional density functions", Neural Networks for Signal Processing - Proceedings of the IEEE Workshop, Madison, WI, USA, IEEE, Piscataway, NJ, United States, 1999.
Arribas, J. I., J. Cid-Sueiro, T. Adali, and A. R. Figueiras-Vidal, "Neural networks to estimate ML multi-class constrained conditional probability density functions", Proceedings of the International Joint Conference on Neural Networks, Washington, DC, USA, IEEE, United States, 1999.