Publicaciones en las que colabora con HÉCTOR EMILIO POMARES CINTAS (13)

2014

  1. Fast feature selection in a GPU cluster using the delta test

    Entropy, Vol. 16, Núm. 2, pp. 854-869

2013

  1. The use of video-gaming devices as a motivation for learning embedded systems programming

    IEEE Transactions on Education, Vol. 56, Núm. 2, pp. 199-207

2012

  1. Resultados de enseñanza y aprendizaje en el temario práctico de la asignatura Fundamentos de Informática

    Enseñanza y aprendizaje de ingeniería de computadores: Revista de Experiencias Docentes en Ingeniería de Computadores, Núm. 2, pp. 3-12

2011

  1. Variable selection in a GPU cluster using delta test

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

2009

  1. Applications in bio-informatics and biomedical engineering

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

  2. Intelligent system based on genetic programming for atrial fibrillation classification

    Applied Artificial Intelligence, Vol. 23, Núm. 10, pp. 895-909

2002

  1. Statistical analysis of the main parameters involved in the design of a genetic algorithm

    IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, Vol. 32, Núm. 1, pp. 31-37

  2. Time series analysis using normalized PG-RBF network with regression weights

    Neurocomputing, Vol. 42, Núm. 1-4, pp. 267-285

  3. Web newspaper layout optimization using simulated annealing

    IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

2001

  1. Optimization of web newspaper layout in real time

    Computer Networks, Vol. 36, Núm. 2-3, pp. 311-321

2000

  1. Analysis of the functional block involved in the design of radial basis function networks

    Neural Processing Letters, Vol. 12, Núm. 1, pp. 1-17

1999

  1. New methodology to obtain fuzzy systems autonomously from training data

    IEEE International Conference on Fuzzy Systems

  2. Sequential learning algorithm for PG-RBF network using regression weights for time series prediction

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