Publicaciones en las que colabora con Diego Peteiro Barral (27)

2018

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

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

2017

  1. Evaluation of an automatic dry eye test using MCDM methods and rank correlation

    Medical and Biological Engineering and Computing, Vol. 55, Núm. 4, pp. 527-536

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

  2. Novel methods in distributed machine learning for large datasets

    Novel methods in distributed machine learning for large datasets

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. Evaluation of Class Binarization and Feature Selection in Tear Film Classification using TOPSIS

    Communications in Computer and Information Science

  3. 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. Multi-criteria evaluation of class binarization and feature selection in tear film lipid layer classification

    ICAART 2013 - Proceedings of the 5th International Conference on Agents and Artificial Intelligence

  6. Online machine learning

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

  7. 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