RAFAEL ALCALÁ FERNÁNDEZ-rekin lankidetzan egindako argitalpenak (7)

2023

  1. Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy

    Fuzzy Sets and Systems, Vol. 465

  2. Omics Data Preprocessing for Machine Learning: A Case Study in Childhood Obesity

    Genes, Vol. 14, Núm. 2

2022

  1. Human Multi-omics Data Pre-processing for Predictive Purposes Using Machine Learning: A Case Study in Childhood Obesity

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

  2. Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies

    Expert Systems with Applications, Vol. 193

  3. Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension

    International Journal of Fuzzy Systems, Vol. 24, Núm. 7, pp. 3082-3103

2020

  1. EXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research

    PLoS Computational Biology, Vol. 16, Núm. 4

2019

  1. Describing Sequential Association Patterns from Longitudinal Microarray Data Sets in Humans

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