RAFAEL ALCALÁ FERNÁNDEZ-rekin lankidetzan egindako argitalpenak (6)

2024

  1. Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study

    Artificial Intelligence in Medicine, Vol. 156

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)

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)