María Del Mar Martínez Ballesteros-rekin lankidetzan egindako argitalpenak (17)

2024

  1. Advances in time series forecasting: innovative methods and applications

    AIMS Mathematics

2023

  1. A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia

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

  2. A new approach based on association rules to add explainability to time series forecasting models

    Information Fusion, Vol. 94, pp. 169-180

  3. Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals

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

  4. Evolutionary computation to explain deep learning models for time series forecasting

    Proceedings of the ACM Symposium on Applied Computing

2022

  1. A novel approach to discover numerical association based on the coronavirus optimization algorithm

    Proceedings of the ACM Symposium on Applied Computing

  2. Explainable machine learning for sleep apnea prediction

    Procedia Computer Science

2017

  1. Applications of Computational Intelligence in Time Series

    Computational Intelligence and Neuroscience

2016

  1. A nearest neighbours-based algorithm for big time series data forecasting

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

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

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

  3. 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

2010

  1. Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution

    Integrated Computer-Aided Engineering

2009

  1. Quantitative association rules applied to climatological time series forecasting

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