María del Mar Martínez Ballesteros-rekin lankidetzan egindako argitalpenak (13)
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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External clustering validity index based on chi-squared statistical test
Information Sciences, Vol. 487, pp. 1-17
2018
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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
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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
2017
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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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A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation
Journal of Biomedical Informatics, Vol. 72, pp. 33-44
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)
2014
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Discovering gene association networks by multi-objective evolutionary quantitative association rules
Journal of Computer and System Sciences
2011
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Inferring gene-gene associations from quantitative association rules
International Conference on Intelligent Systems Design and Applications, ISDA
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Analysis of measures of quantitative association rules
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Evolutionary association rules for total ozone content modeling from satellite observations
Chemometrics and Intelligent Laboratory Systems, Vol. 109, Núm. 2, pp. 217-227