Publicaciones (93) Publicaciones de RAFAEL ALCALÁ FERNÁNDEZ

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. 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

2017

  1. Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification

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

2014

  1. A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification systems: D-MOFARC algorithm

    Applied Soft Computing Journal, Vol. 24, pp. 470-481

  2. Comparison and design of interpretable linguistic vs. scatter FRBSs: Gm3m generalization and new rule meaning index for global assessment and local pseudo-linguistic representation

    Information Sciences, Vol. 282, pp. 190-213

  3. METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems

    Information Sciences, Vol. 276, pp. 63-79

2013

  1. A review of the application of multiobjective evolutionary fuzzy systems: Current status and further directions

    IEEE Transactions on Fuzzy Systems, Vol. 21, Núm. 1, pp. 45-65

  2. A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off

    Knowledge-Based Systems, Vol. 54, pp. 32-41

  3. Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities

    Proceedings of the 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

  4. Obtaining accurate TSK fuzzy rule-based systems by multi-objective evolutionary learning in high-dimensional regression problems

    IEEE International Conference on Fuzzy Systems