Publicacions en col·laboració amb investigadors/es de Universidad Carlos III de Madrid (16)

2022

  1. Inclusion of AGC Models in a Reduced Model of the Spanish Electric Power System

    2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022

2021

  1. Combined vehicle to building (V2B) and vehicle to home (V2H) strategy to increase electric vehicle market share

    Energy, Vol. 237

2016

  1. Design Patterns Combination for Agile Development of Teaching/Learning Haptic Simulators

    International Journal of Engineering Education, Vol. 32, Núm. 2, pp. 1036-1052

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. 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)

  2. Cost-sensitive learning based on bregman divergences

    Machine Learning

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

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

2007

  1. Q-probabilistic routing in wireless sensor networks

    PROCEEDINGS OF THE 2007 INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS AND INFORMATION PROCESSING

  2. Q-probabilistic routing in wireless sensor networks

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

  3. Minimax regret classifier for imprecise class distributions

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

2005

  1. Minimax classifiers based on neural networks

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

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

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

2004

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

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

  2. 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

2002

  1. Neural minimax classifiers

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

  2. Minimax strategies for training classifiers under unknown priors

    Neural Networks for Signal Processing - Proceedings of the IEEE Workshop