Publicaciones en las que colabora con Verónica Bolón Canedo (114)

2024

  1. The imbalance problem: A comparison of sampling approaches using different parameters and feature selection methods in the context of classification

    Expert Systems

2023

  1. Data-driven predictive maintenance framework for railway systems

    Intelligent Data Analysis, Vol. 27, Núm. 4, pp. 1087-1102

  2. E2E-FS: An End-to-End Feature Selection Method for Neural Networks

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 45, Núm. 7, pp. 8311-8323

2022

  1. Anomaly Detection on Natural Language Processing to Improve Predictions on Tourist Preferences

    Electronics (Switzerland), Vol. 11, Núm. 5

  2. Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning

    Information Sciences, Vol. 607, pp. 1245-1264

  3. Feature Selection: From the Past to the Future

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

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

    Neurocomputing, Vol. 470, pp. 365-375

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

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

  6. Machine learning techniques to predict different levels of hospital care of CoVid-19

    Applied Intelligence, Vol. 52, Núm. 6, pp. 6413-6431

2021

  1. Dealing with heterogeneity in the context of distributed feature selection for classification

    Knowledge and Information Systems, Vol. 63, Núm. 1, pp. 233-276

2020

  1. A delayed elastic-net approach for performing adversarial attacks

    Proceedings - International Conference on Pattern Recognition

  2. A scalable saliency-based feature selection method with instance-level information

    Knowledge-Based Systems, Vol. 192

  3. Can data placement be effective for Neural Networks classification tasks? Introducing the orthogonal loss

    Proceedings - International Conference on Pattern Recognition

  4. 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

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

    Knowledge-Based Systems, Vol. 197

  6. Importance of coding co-morbidities for APR-DRG assignment: Focus on cardiovascular and respiratory diseases

    Health Information Management Journal, Vol. 49, Núm. 1, pp. 47-57

  7. Performance evaluation of unsupervised techniques in cyber-attack anomaly detection

    Journal of Ambient Intelligence and Humanized Computing, Vol. 11, Núm. 11, pp. 4477-4489

  8. 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. Biases in feature selection with missing data

    Neurocomputing, Vol. 342, pp. 97-112