Publicaciones en las que colabora con Diego Peteiro Barral (23)

2018

  1. On the scalability of feature selection methods on high-dimensional data

    Knowledge and Information Systems, Vol. 56, Núm. 2, pp. 395-442

2016

  1. A unified pipeline for online feature selection and classification

    Expert Systems with Applications, Vol. 55, pp. 532-545

2015

  1. Distributed one-class support vector machine

    International Journal of Neural Systems, Vol. 25, Núm. 7

2014

  1. A methodology for improving tear film lipid layer classification

    IEEE Journal of Biomedical and Health Informatics, Vol. 18, Núm. 4, pp. 1485-1493

  2. Learning on vertically partitioned data based on chi-square feature selection and naive bayes classification

    ICAART 2014 - Proceedings of the 6th International Conference on Agents and Artificial Intelligence

2013

  1. A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks

    Expert Systems with Applications, Vol. 40, Núm. 10, pp. 3900-3905

  2. A distributed learning algorithm based on frontier vector quantization and information theory

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

  3. A study on the scalability of artificial neural networks training algorithms using multiple-criteria decision-making methods

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

  4. A survey of methods for distributed machine learning

    Progress in Artificial Intelligence, Vol. 2, Núm. 1, pp. 1-11

  5. Online machine learning

    Efficiency and Scalability Methods for Computational Intellect (IGI Global), pp. 27-54

  6. Toward the scalability of neural networks through feature selection

    Expert Systems with Applications, Vol. 40, Núm. 8, pp. 2807-2816

2012

  1. A mixture of experts for classifying sleep apneas

    Expert Systems with Applications, Vol. 39, Núm. 8, pp. 7084-7092

  2. An analysis of clustering approaches to distributed learning on heterogeneously distributed datasets

    Frontiers in Artificial Intelligence and Applications, Vol. 243, pp. 69-78

  3. Interferential tear film lipid layer classification: An automatic dry eye test

    Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

2011

  1. A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms

    ESANN 2011 - 19th European Symposium on Artificial Neural Networks

  2. Dealing with "very large" datasets: An overview of a promising research line: Distributed learning

    ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence

  3. Distributed learning on nonuniform class-probability distributions based on genetic algorithms and artificial neural networks

    IEEE SSCI 2011 - Symposium Series on Computational Intelligence - HIMA 2011: 2011 IEEE Workshop on Hybrid Intelligent Models and Applications

  4. On the Effectiveness of Distributed Learning onDifferent Class-Probability Distributions of Data

    Advances in Artificial Intelligence: 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011, La Laguna, Spain, November 7-11, 2011. Proceedings

  5. On the effectiveness of distributed learning on different class-probability distributions of data

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

  6. Scalability Analysis of ANN TrainingAlgorithms with Feature Selection

    Advances in Artificial Intelligence: 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011, La Laguna, Spain, November 7-11, 2011. Proceedings