Publications dans lesquelles il/elle collabore avec María Del Mar Martínez Ballesteros (27)
2023
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A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020
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Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance
Artificial Intelligence in Medicine, Vol. 110
2019
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Analysis of the evolution of the Spanish labour market through unsupervised learning
IEEE Access, Vol. 7, pp. 121695-121708
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External clustering validity index based on chi-squared statistical test
Information Sciences, Vol. 487, pp. 1-17
2018
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An approach to validity indices for clustering techniques in Big Data
Progress in Artificial Intelligence, Vol. 7, Núm. 2, pp. 81-94
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Aproximación al índice externo de validación de clustering basado en chi cuadrado
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
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MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems
Knowledge-Based Systems, Vol. 153, pp. 176-192
2017
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A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation
Journal of Biomedical Informatics, Vol. 72, pp. 33-44
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Applications of Computational Intelligence in Time Series
Computational Intelligence and Neuroscience
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Machine learning techniques to discover genes with potential prognosis role in Alzheimer's disease using different biological sources
Information Fusion, Vol. 36, pp. 114-129
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Predicción de módulos defectuosos como un problema de optimización multiobjetivo
Actas de las 22nd Jornadas de Ingenier�a del Software y Bases de Datos, JISBD 2017
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Predicción de módulos defectuosos como un problema de optimización multiobjetivo
Actas de las 22nd Jornadas de Ingenier�a del Software y Bases de Datos, JISBD 2017
2016
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An approach to silhouette and dunn clustering indices applied to big data in spark
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Improving a multi-objective evolutionary algorithm to discover quantitative association rules
Knowledge and Information Systems, Vol. 49, Núm. 2, pp. 481-509
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Obtaining optimal quality measures for quantitative association rules
Neurocomputing, Vol. 176, pp. 36-47
2015
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Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets
Integrated Computer-Aided Engineering, Vol. 22, Núm. 1, pp. 21-39
2014
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Discovering gene association networks by multi-objective evolutionary quantitative association rules
Journal of Computer and System Sciences
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Selecting the best measures to discover quantitative association rules
Neurocomputing, Vol. 126, pp. 3-14
2013
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A sensitivity analysis for quality measures of quantitative association rules
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2011
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An evolutionary algorithm to discover quantitative association rules in multidimensional time series
Soft Computing, Vol. 15, Núm. 10, pp. 2065-2084