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RAFAEL
ALCALÁ FERNÁNDEZ
CATEDRÁTICO DE UNIVERSIDAD
Publicacións (93) Publicacións de RAFAEL ALCALÁ FERNÁNDEZ
2023
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Enhancing soft computing techniques to actively address imbalanced regression problems
Expert Systems with Applications, Vol. 234
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Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy
Fuzzy Sets and Systems, Vol. 465
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Omics Data Preprocessing for Machine Learning: A Case Study in Childhood Obesity
Genes, Vol. 14, Núm. 2
2022
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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)
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Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies
Expert Systems with Applications, Vol. 193
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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
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Meta-Fuzzy Items for Fuzzy Association Rules
IEEE International Conference on Fuzzy Systems
2020
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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
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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
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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)
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Experimental study on 164 algorithms available in software tools for solving standard non-linear regression problems
IEEE Access, Vol. 7, pp. 108916-108939
2018
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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
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Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification
IEEE Transactions on Fuzzy Systems, Vol. 25, Núm. 6, pp. 1376-1390
2014
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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
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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
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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
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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
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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
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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
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Obtaining accurate TSK fuzzy rule-based systems by multi-objective evolutionary learning in high-dimensional regression problems
IEEE International Conference on Fuzzy Systems