JESÚS ALCALÁ FERNÁNDEZ-rekin lankidetzan egindako argitalpenak (64)

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. Enhancing soft computing techniques to actively address imbalanced regression problems

    Expert Systems with Applications, Vol. 234

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

    Fuzzy Sets and Systems, Vol. 465

  3. 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

2021

  1. Meta-Fuzzy Items for Fuzzy Association Rules

    IEEE International Conference on Fuzzy Systems

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

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

2018

  1. Analyzing gender disparities in STEAM: a Case Study from Bioinformatics Workshops in the University of Granada

    Enseñanza y aprendizaje de ingeniería de computadores: Revista de Experiencias Docentes en Ingeniería de Computadores, Núm. 8, pp. 5-16

  2. Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007–2017)

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 8, Núm. 2

  3. MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems

    Knowledge-Based Systems, Vol. 153, pp. 176-192

2017

  1. Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification

    IEEE Transactions on Fuzzy Systems, Vol. 25, Núm. 6, pp. 1376-1390

  2. KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

    International Journal of Computational Intelligence Systems, Vol. 10, Núm. 1, pp. 1238-1249

2016

  1. NICGAR: A Niching Genetic Algorithm to mine a diverse set of interesting quantitative association rules

    Information Sciences, Vol. 355-356, pp. 208-228

  2. Special Issue on Computational Intelligence Software

    IEEE Computational Intelligence Magazine

2014

  1. A new multiobjective evolutionary algorithm for mining a reduced set of interesting positive and negative quantitative association rules

    IEEE Transactions on Evolutionary Computation, Vol. 18, Núm. 1, pp. 54-69