Publicaciones en las que colabora con Jesús Cid Sueiro (28)

2011

  1. Class and subclass probability re-estimation to adapt a classifier in the presence of concept drift

    Neurocomputing, Vol. 74, Núm. 16, pp. 2614-2623

2009

  1. Cost-sensitive and modular land-cover classification based on posterior probability estimates

    International Journal of Remote Sensing, Vol. 30, Núm. 22, pp. 5877-5899

  2. Cost-sensitive learning based on bregman divergences

    Machine Learning

  3. Improving classification under changes in class and within-class distributions

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2007

  1. Minimax regret classifier for imprecise class distributions

    Journal of Machine Learning Research, Vol. 8, pp. 103-130

  2. Q-probabilistic routing in wireless sensor networks

    Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP

2006

  1. Estimation of Posterior Probabilities with Neural Networks: Application to Microcalcification Detection in Breast Cancer Diagnosis

    Handbook of Neural Engineering (John Wiley & Sons, Inc.), pp. 41-58

2005

  1. A model selection algorithm for a posteriori probability estimation with neural networks

    IEEE Transactions on Neural Networks, Vol. 16, Núm. 4, pp. 799-809

  2. Loss functions to combine learning and decision in multiclass problems

    Neurocomputing, Vol. 69, Núm. 1-3, pp. 3-17

  3. Minimax classifiers based on neural networks

    Pattern Recognition, Vol. 38, Núm. 1, pp. 29-39

2004

  1. A fixed-point algorithm to minimax learning with neural networks

    IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, Vol. 34, Núm. 4, pp. 383-392

  2. Local estimation of posterior class probabilities to minimize classification errors

    IEEE Transactions on Neural Networks, Vol. 15, Núm. 2, pp. 309-317

  3. Robust joint channel and noise estimation in Bayesian blind equalizers

    Signal Processing, Vol. 84, Núm. 3, pp. 535-548

2003

  1. A neuro-evolutionary framework for Bayesian blind equalization in digital communications

    Signal Processing, Vol. 83, Núm. 2, pp. 325-338

  2. Bayesian and RBF structures for wireless communications detection

    Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

  3. Neural posterior probabilities for microcalcification detection in breast cancer diagnoses

    International IEEE/EMBS Conference on Neural Engineering, NER

2002

  1. Extension of blind Bayesian equalization algorithms for multiuser detection

    PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON WIRELESS AND OPTICAL COMMUNICATIONS

  2. Minimax strategies for training classifiers under unknown priors

    Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

  3. Minimax strategies for training classifiers under unknown priors

    NEURAL NETWORKS FOR SIGNAL PROCESSING XII, PROCEEDINGS

  4. Neural minimax classifiers

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)