María Del Mar Martínez Ballesteros-rekin lankidetzan egindako argitalpenak (22)

2024

  1. Evolutionary Feature Selection for Time-Series Forecasting

    Proceedings of the ACM Symposium on Applied Computing

  2. Multi-Objective Lagged Feature Selection Based on Dependence Coefficient for Time-Series Forecasting

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2023

  1. 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

  1. Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance

    Artificial Intelligence in Medicine, Vol. 110

2019

  1. Analysis of the evolution of the Spanish labour market through unsupervised learning

    IEEE Access, Vol. 7, pp. 121695-121708

  2. External clustering validity index based on chi-squared statistical test

    Information Sciences, Vol. 487, pp. 1-17

2018

  1. An approach to validity indices for clustering techniques in Big Data

    Progress in Artificial Intelligence, Vol. 7, Núm. 2, pp. 81-94

  2. 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

  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. Applications of Computational Intelligence in Time Series

    Computational Intelligence and Neuroscience

  2. 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

  3. 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

  1. Improving a multi-objective evolutionary algorithm to discover quantitative association rules

    Knowledge and Information Systems, Vol. 49, Núm. 2, pp. 481-509

  2. Obtaining optimal quality measures for quantitative association rules

    Neurocomputing, Vol. 176, pp. 36-47

2015

  1. 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

  1. Selecting the best measures to discover quantitative association rules

    Neurocomputing, Vol. 126, pp. 3-14

2013

  1. 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

  1. An evolutionary algorithm to discover quantitative association rules in multidimensional time series

    Soft Computing, Vol. 15, Núm. 10, pp. 2065-2084

  2. Mining quantitative association rules in microarray data using evolutive algorithms

    ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence

  3. On the use of algorithms to discover motifs in DNA sequences

    International Conference on Intelligent Systems Design and Applications, ISDA