Publicacións nas que colabora con Verónica Bolón Canedo (31)

2024

  1. A review of green artificial intelligence: Towards a more sustainable future

    Neurocomputing, Vol. 599

  2. CUDA acceleration of MI-based feature selection methods

    Journal of Parallel and Distributed Computing, Vol. 190

  3. Finding a needle in a haystack: insights on feature selection for classification tasks

    Journal of Intelligent Information Systems, Vol. 62, Núm. 2, pp. 459-483

  4. Towards federated feature selection: Logarithmic division for resource-conscious methods

    Neurocomputing, Vol. 596

2023

  1. Do all roads lead to Rome? Studying distance measures in the context of machine learning

    Pattern Recognition, Vol. 141

  2. Feature selection for domain adaptation using complexity measures and swarm intelligence

    Neurocomputing, Vol. 548

  3. Inteligencia artificial: del pasado al futuro

    El derecho de marcas y de la competencia ante las tecnologías de vanguardia (Tirant lo Blanch), pp. 15-35

  4. Machine Learning Methods for Predicting League of Legends Game Outcome

    IEEE Transactions on Games, Vol. 15, Núm. 2, pp. 171-181

2022

  1. Feature Selection: From the Past to the Future

    Learning and Analytics in Intelligent Systems (Springer Nature), pp. 11-34

  2. How important is data quality? Best classifiers vs best features

    Neurocomputing, Vol. 470, pp. 365-375

  3. Less is more: Low-precision feature selection for wearables

    Proceedings of the International Joint Conference on Neural Networks

  4. Low-precision feature selection on microarray data: an information theoretic approach

    Medical and Biological Engineering and Computing, Vol. 60, Núm. 5, pp. 1333-1345

  5. Reduced precision discretization based on information theory

    Procedia Computer Science

2021

  1. Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection?

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

2020

  1. Do we need hundreds of classifiers or a good feature selection?

    ESANN 2020 - Proceedings, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

  2. Feature selection with limited bit depth mutual information for portable embedded systems

    Knowledge-Based Systems, Vol. 197

  3. When Size Matters: Markov Blanket with Limited Bit Depth Conditional Mutual Information

    Communications in Computer and Information Science

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. Distributed classification based on distances between probability distributions in feature space

    Information Sciences, Vol. 496, pp. 431-450

  3. Feature Selection Applied to Microarray Data

    Methods in Molecular Biology (Humana Press Inc.), pp. 123-152