Publikationen (99) Publikationen von JESÚS ALCALÁ FERNÁNDEZ

2024

  1. JFML-IoT: Fuzzy Control for IoT Systems based on the IEEE std 1855-2016

    IEEE International Conference on Fuzzy Systems

  2. 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. Enhancing soft computing techniques to actively address imbalanced regression problems

    Expert Systems with Applications, Vol. 234

  2. Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression

    Computer Methods and Programs in Biomedicine, Vol. 240

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

    Fuzzy Sets and Systems, Vol. 465

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

    Genes, Vol. 14, Núm. 2

  5. Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in children with obesity

    Computers in Biology and Medicine, Vol. 163

2022

  1. Gene Expression Profiles of Visceral and Subcutaneous Adipose Tissues in Children with Overweight or Obesity: The KIDADIPOSEQ Project

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

  2. 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)

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

    Expert Systems with Applications, Vol. 193

  4. 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

2021

  1. An approach to bridge the gap between ubiquitous embedded devices and JFML: A new module for Internet of Things

    IEEE International Conference on Fuzzy Systems

  2. Meta-Fuzzy Items for Fuzzy Association Rules

    IEEE International Conference on Fuzzy Systems

  3. Omics approaches in adipose tissue and skeletal muscle addressing the role of extracellular matrix in obesity and metabolic dysfunction

    International Journal of Molecular Sciences, Vol. 22, Núm. 5, pp. 1-33

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

  2. Evaluation of the predictive ability, environmental regulation and pharmacogenetics utility of a bmi-predisposing genetic risk score during childhood and puberty

    Journal of Clinical Medicine, Vol. 9, Núm. 6

  3. Temporal association rule mining: An overview considering the time variable as an integral or implied component

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 10, 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)

  2. Design of fuzzy controllers for embedded systems with JFML

    International Journal of Computational Intelligence Systems, Vol. 12, Núm. 1, pp. 204-214

  3. Experimental study on 164 algorithms available in software tools for solving standard non-linear regression problems

    IEEE Access, Vol. 7, pp. 108916-108939