Publications

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2023

A. R. Troncoso-García and M. Martínez-Ballesteros and F. Mártinez-Álvarez and A. Troncoso

A new approach based on association rules to add explainability to time series forecasting models (Journal Article)

Information Fusion, 94 , pp. 169-180, 2023.

(Abstract | Links | BibTeX | Tags: association rules, time series, XAI)

2022

A. R. Troncoso-García and M. Martínez-Ballesteros and F. Martínez-Álvarez and A. Troncoso

Explainable machine learning for sleep apnea prediction (Conference)

KES International Conference on Knowledge Based and Intelligent information and Engineering Systems, 2022.

(Abstract | Links | BibTeX | Tags: association rules, deep learning, time series, XAI)

C. Segarra-Martín and M. Martínez-Ballesteros and A. Troncoso and F. Martínez-Álvarez

A novel approach to discover numerical association based on the Coronavirus Optimization Algorithm (Conference)

SAC 37th Symposium On Applied Computing, 2022.

(Abstract | BibTeX | Tags: association rules)

2020

F. Moleshi and A. Haeri and F. Martínez-Álvarez

A novel hybrid GA–PSO framework for mining quantitative association rules (Journal Article)

Soft Computing, 24 (6), pp. 4645-4666, 2020.

(Abstract | Links | BibTeX | Tags: association rules)

2016

M. Martínez-Ballesteros and A. Troncoso and F. Martínez-Álvarez and J. C. Riquelme

Improving a multi-objective evolutionary algorithm to discover quantitative association rules (Journal Article)

Knowledge and Information Systems, 49 , pp. 481-509, 2016.

(Links | BibTeX | Tags: association rules)

M. Martínez-Ballesteros and F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

Obtaining optimal quality measures for quantitative association rules (Journal Article)

Neurocomputing, 176 , pp. 36-47, 2016.

(Abstract | Links | BibTeX | Tags: association rules)

2015

M. Martínez-Ballesteros and J. Bacardit and A. Troncoso and J. C. Riquelme

Mining Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets (Journal Article)

Integrated Computer-Aided Engineering, 22 (1), pp. 21-39, 2015.

(Abstract | Links | BibTeX | Tags: association rules)

2014

M. Martínez-Ballesteros and F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

Selecting the Best Measures to Discover Quantitative Association Rules (Journal Article)

Neurocomputing, 126 , pp. 3-14, 2014.

(Abstract | Links | BibTeX | Tags: association rules)

2013

M. Martínez-Ballesteros and F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

A sensitivity analysis for quality measures of quantitative association rules (Conference)

HAIS 8th International Conference on Hibryd Artificial Intelligence Systems, Lecture Notes in Computer Science 2013.

(Links | BibTeX | Tags: association rules)

2011

M. Martínez-Ballesteros and F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

An Evolutionary Algorithm to Discover Quantitative Association Rules in Multidimensional Time Series (Journal Article)

Soft Computing, 15 (10), pp. 2065-2084, 2011.

(Abstract | Links | BibTeX | Tags: association rules)

M. Martínez-Ballesteros and C. Rubio-Escudero and J. C. Riquelme and F. Martínez-Álvarez

Mining quantitative association rules in microarray data using evolutive algorithms (Conference)

International Conference on Agents and Artificial Intelligence (ICAART'11), 2011.

(BibTeX | Tags: association rules)

2010

M. Martínez-Ballesteros and A. Troncoso and F. Martínez-Álvarez and J. C. Riquelme

Mining Quantitative Association Rules Based on Evolutionary Computation and its Application to Atmospheric Pollution (Journal Article)

Integrated Computer-Aided Engineering, 17 , pp. 227-242, 2010.

(Abstract | Links | BibTeX | Tags: association rules)

2009

M. Martínez-Ballesteros and F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

Descubriendo Reglas de Asociación Numéricas entre Series Temporales (Workshop)

CAEPIA XIII Conferencia de la Asociación Española para la Inteligencia Artificial. MINCODA I Workshop International on Mining of Non-Conventional Data, 2009.

(BibTeX | Tags: association rules)

M. Martínez-Ballesteros and F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

Quantitative Association Rules Applied to Climatological Time Series Forecasting (Conference)

IDEAL Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science 2009.

(Links | BibTeX | Tags: association rules)