Publications by the researcher in collaboration with María Noelia Sánchez Maroño (39)

2024

  1. Preface

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

2019

  1. A Review of Microarray Datasets: Where to Find Them and Specific Characteristics

    Methods in Molecular Biology (Humana Press Inc.), pp. 65-85

  2. Insights into distributed feature ranking

    Information Sciences, Vol. 496, pp. 378-398

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. Exploring the consequences of distributed feature selection in DNA microarray data

    Proceedings of the International Joint Conference on Neural Networks

  2. Preprocessing in big data: New challenges for discretization and feature selection

    Frontiers in Data Science (CRC Press), pp. 285-328

2016

  1. A comparison of performance of K-complex classification methods using feature selection

    Information Sciences, Vol. 328, pp. 1-14

  2. A unified pipeline for online feature selection and classification

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

  3. Feature selection for high-dimensional data

    Progress in Artificial Intelligence, Vol. 5, Núm. 2, pp. 65-75

2015

  1. A distributed feature selection approach based on a complexity measure

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

  2. Distributed feature selection: An application to microarray data classification

    Applied Soft Computing Journal, Vol. 30, pp. 136-150

  3. Real-time tear film classification through cost-based feature selection

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

  4. Recent advances and emerging challenges of feature selection in the context of big data

    Knowledge-Based Systems, Vol. 86, pp. 33-45

2014

  1. A framework for cost-based feature selection

    Pattern Recognition

  2. A methodology for improving tear film lipid layer classification

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

  3. A review of microarray datasets and applied feature selection methods

    Information Sciences, Vol. 282, pp. 111-135

  4. Data classification using an ensemble of filters

    Neurocomputing, Vol. 135, pp. 13-20

  5. 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

  6. MC-ReliefF: An extension of ReliefF for cost-based feature selection

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

  7. Toward parallel feature selection from vertically partitioned data

    22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings