@article{10.1145/3605098.3636191,

title = {Evolutionary Feature Selection for Time-Series Forecasting},

author = {Maria Lourdes Linares-Barrera and Manuel J. Jimenez-Navarro and Isabel Sofia Brito and José C. Riquelme and María Martínez-Ballesteros},

url = {https://doi.org/10.1145/3605098.3636191},

doi = {10.1145/3605098.3636191},

year  = {2024},

date = {2024-01-01},

journal = {Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing},

volume = {N/A},

pages = {395-399},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-031-62799-6_9,

title = {Multi-Objective Lagged Feature Selection Based on Dependence Coefficient for Time-Series Forecasting},

author = {María Lourdes Linares-Barrera and Manuel J. Jiménez Navarro and José C. Riquelme and María Martínez-Ballesteros},

url = {https://doi.org/10.1007/978-3-031-62799-6_9},

doi = {10.1007/978-3-031-62799-6_9},

year  = {2024},

date = {2024-01-01},

journal = {Lecture Notes in Computer Science},

volume = {N/A},

pages = {81-90},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.engappai.2024.109088,

title = {Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning},

author = {Miguel Campos-Romero and Manuel Carranza-García and José C. Riquelme},

url = {https://doi.org/10.1016/j.engappai.2024.109088},

doi = {10.1016/j.engappai.2024.109088},

year  = {2024},

date = {2024-01-01},

journal = {Engineering Applications of Artificial Intelligence},

volume = {137},

pages = {109088},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.ijepes.2024.109947,

title = {Semi-real-time decision tree ensemble algorithms for very short-term solar irradiance forecasting},

author = {Jose E. Sanchez-Lopez and Javier Solís-García and Jose C. Riquelme},

url = {https://doi.org/10.1016/j.ijepes.2024.109947},

doi = {10.1016/j.ijepes.2024.109947},

year  = {2024},

date = {2024-01-01},

journal = {International Journal of Electrical Power & Energy Systems},

volume = {158},

pages = {109947},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.heliyon.2024.e25821,

title = {Addressing energy challenges in Iraq: Forecasting power supply and demand using artificial intelligence models},

author = {Morteza Aldarraji and Belén Vega-Márquez and Beatriz Pontes and Basim Mahmood and José C. Riquelme},

url = {https://doi.org/10.1016/j.heliyon.2024.e25821},

doi = {10.1016/j.heliyon.2024.e25821},

year  = {2024},

date = {2024-01-01},

journal = {Heliyon},

volume = {10},

pages = {e25821},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.heliyon.2024.e25838,

title = {An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market},

author = {José María Luna-Romera and Manuel Carranza-García and Ángel Arcos-Vargas and José C. Riquelme-Santos},

url = {https://doi.org/10.1016/j.heliyon.2024.e25838},

doi = {10.1016/j.heliyon.2024.e25838},

year  = {2024},

date = {2024-01-01},

journal = {Heliyon},

volume = {10},

pages = {e25838},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.apenergy.2023.121645,

title = {Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level},

author = {Tomás Cabello-López and Manuel Carranza-García and José C. Riquelme and Jorge García-Gutiérrez},

url = {https://doi.org/10.1016/j.apenergy.2023.121645},

doi = {10.1016/j.apenergy.2023.121645},

year  = {2023},

date = {2023-01-01},

journal = {Applied Energy},

volume = {350},

pages = {121645},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.neucom.2023.126312,

title = {Short-term solar irradiance forecasting in streaming with deep learning},

author = {Pedro Lara-Benítez and Manuel Carranza-García and José María Luna-Romera and José C. Riquelme},

url = {https://doi.org/10.1016/j.neucom.2023.126312},

doi = {10.1016/j.neucom.2023.126312},

year  = {2023},

date = {2023-01-01},

journal = {Neurocomputing},

volume = {546},

pages = {126312},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-031-42536-3_10,

title = {Efficient Short-Term Time Series Forecasting with Regression Trees},

author = {Pablo Reina-Jiménez and Manuel Carranza-García and Jose María Luna-Romera and José C. Riquelme},

url = {https://doi.org/10.1007/978-3-031-42536-3_10},

doi = {10.1007/978-3-031-42536-3_10},

year  = {2023},

date = {2023-01-01},

journal = {Lecture Notes in Networks and Systems},

volume = {N/A},

pages = {101-110},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-031-40725-3_62,

title = {A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma},

author = {M. Lourdes Linares-Barrera and María Martínez-Ballesteros and José M. García-Heredia and José C. Riquelme},

url = {https://doi.org/10.1007/978-3-031-40725-3_62},

doi = {10.1007/978-3-031-40725-3_62},

year  = {2023},

date = {2023-01-01},

journal = {Lecture Notes in Computer Science},

volume = {N/A},

pages = {731-742},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1145/3583133.3590603,

title = {Simultaneous Evolutionary Optimization of Features Subset and Clusters Number},

author = {José David Martín and Beatriz Pontes and José C. Riquelme},

url = {https://doi.org/10.1145/3583133.3590603},

doi = {10.1145/3583133.3590603},

year  = {2023},

date = {2023-01-01},

journal = {Proceedings of the Companion Conference on Genetic and Evolutionary Computation},

volume = {N/A},

pages = {307-310},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/s10489-023-05124-z,

title = {Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study},

author = {Javier Solís-García and Belén Vega-Márquez and Juan A. Nepomuceno and José C. Riquelme-Santos and Isabel A. Nepomuceno-Chamorro},

url = {https://doi.org/10.1007/s10489-023-05124-z},

doi = {10.1007/s10489-023-05124-z},

year  = {2023},

date = {2023-01-01},

journal = {Applied Intelligence},

volume = {53},

pages = {30691-30705},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.ctro.2023.100640,

title = {Benchmarking machine learning approaches to predict radiation-induced toxicities in lung cancer patients},

author = {Francisco J. Núñez-Benjumea and Sara González-García and Alberto Moreno-Conde and José C. Riquelme-Santos and José L. López-Guerra},

url = {https://doi.org/10.1016/j.ctro.2023.100640},

doi = {10.1016/j.ctro.2023.100640},

year  = {2023},

date = {2023-01-01},

journal = {Clinical and Translational Radiation Oncology},

volume = {41},

pages = {100640},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1093/jigpal/jzac033,

title = {Data streams classification using deep learning under different speeds and drifts},

author = {Pedro Lara-Benítez and Manuel Carranza-García and David Gutiérrez-Avilés and José C Riquelme},

url = {https://doi.org/10.1093/jigpal/jzac033},

doi = {10.1093/jigpal/jzac033},

issn = {1367-0751},

year  = {2022},

date = {2022-01-01},

journal = {Logic Journal of the IGPL},

abstract = {Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. Although deep neural networks are the state-of-the-art for many machine learning tasks, their performance in real-time data streaming scenarios is a research area that has not yet been fully addressed. Nevertheless, much effort has been put into the adaption of complex deep learning (DL) models to streaming tasks by reducing the processing time. The design of the asynchronous dual-pipeline DL framework allows making predictions of incoming instances and updating the model simultaneously, using two separate layers. The aim of this work is to assess the performance of different types of DL architectures for data streaming classification using this framework. We evaluate models such as multi-layer perceptrons, recurrent, convolutional and temporal convolutional neural networks over several time series datasets that are simulated as streams at different speeds. In addition, we evaluate how the different architectures react to concept drifts typically found in evolving data streams. The obtained results indicate that convolutional architectures achieve a higher performance in terms of accuracy and efficiency, but are also the most sensitive to concept drifts.},

note = {jzac033},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{app12083987,

title = {MOMIC: A Multi-Omics Pipeline for Data Analysis, Integration and Interpretation},

author = {Laura Madrid-Márquez and Cristina Rubio-Escudero and Beatriz Pontes and Antonio González-Pérez and José C. Riquelme and Maria E. Sáez},

url = {https://www.mdpi.com/2076-3417/12/8/3987},

doi = {10.3390/app12083987},

issn = {2076-3417},

year  = {2022},

date = {2022-01-01},

journal = {Applied Sciences},

volume = {12},

number = {8},

abstract = {Background and Objectives: The burst of high-throughput omics technologies has given rise to a new era in systems biology, offering an unprecedented scenario for deriving meaningful biological knowledge through the integration of different layers of information. Methods: We have developed a new software tool, MOMIC, that guides the user through the application of different analysis on a wide range of omic data, from the independent single-omics analysis to the combination of heterogeneous data at different molecular levels. Results: The proposed pipeline is developed as a collection of Jupyter notebooks, easily editable, reproducible and well documented. It can be modified to accommodate new analysis workflows and data types. It is accessible via momic.us.es, and as a docker project available at github that can be locally installed. Conclusions: MOMIC offers a complete analysis environment for analysing and integrating multi-omics data in a single, easy-to-use platform.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1109/icip46576.2022.9897855,

title = {Temporal Axial Attention For Lidar-Based 3d Object Detection In Autonomous Driving},

author = {Manuel Carranza-Garcia and Jose C. Riquelme and Avideh Zakhor},

url = {https://doi.org/10.1109/icip46576.2022.9897855},

doi = {10.1109/icip46576.2022.9897855},

year  = {2022},

date = {2022-01-01},

journal = {2022 IEEE International Conference on Image Processing (ICIP)},

volume = {N/A},

pages = {201-205},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-031-15471-3_12,

title = {Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation},

author = {Tomás Cabello-López and Manuel Cañizares-Juan and Manuel Carranza-García and Jorge Garcia-Gutiérrez and José C. Riquelme},

url = {https://doi.org/10.1007/978-3-031-15471-3_12},

doi = {10.1007/978-3-031-15471-3_12},

year  = {2022},

date = {2022-01-01},

journal = {Lecture Notes in Computer Science},

volume = {N/A},

pages = {133-140},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{article,

title = {Object detection using depth completion and camera-LiDAR fusion for autonomous driving},

author = {Manuel Carranza-García and F. Galán-Sales and José María Luna-Romera and José Riquelme},

doi = {10.3233/ICA-220681},

year  = {2022},

date = {2022-01-01},

journal = {Integrated Computer-Aided Engineering},

volume = {29},

pages = {1-18},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{articlek,

title = {MOMIC: A Multi-Omics Pipeline for Data Analysis, Integration and Interpretation},

author = {Laura Madrid-Márquez and Cristina Rubio-Escudero and Beatriz Pontes and Antonio González-Pérez and José Riquelme and Maria Saez},

doi = {10.3390/app12083987},

year  = {2022},

date = {2022-01-01},

journal = {Applied Sciences},

volume = {12},

pages = {3987},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-030-87869-6_67,

title = {Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology},

author = {José María Luna-Romera and Manuel Carranza-García and David Gutiérrez-Avilés and José C. Riquelme-Santos},

url = {https://doi.org/10.1007/978-3-030-87869-6_67},

doi = {10.1007/978-3-030-87869-6_67},

year  = {2022},

date = {2022-01-01},

journal = {Advances in Intelligent Systems and Computing},

volume = {N/A},

pages = {706-716},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1142/s0129065721300011,

title = {An Experimental Review on Deep Learning Architectures for Time Series Forecasting},

author = {Pedro Lara-Benítez and Manuel Carranza-García and José C. Riquelme},

url = {https://doi.org/10.1142/s0129065721300011},

doi = {10.1142/s0129065721300011},

year  = {2021},

date = {2021-01-01},

journal = {International Journal of Neural Systems},

volume = {31},

pages = {2130001},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.neucom.2021.04.001,

title = {Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance},

author = {Manuel Carranza-García and Pedro Lara-Benítez and Jorge García-Gutiérrez and José C. Riquelme},

url = {https://doi.org/10.1016/j.neucom.2021.04.001},

doi = {10.1016/j.neucom.2021.04.001},

year  = {2021},

date = {2021-01-01},

journal = {Neurocomputing},

volume = {449},

pages = {229-244},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-030-57802-2_14,

title = {On the Performance of Deep Learning Models for Time Series Classification in Streaming},

author = {Pedro Lara-Benítez and Manuel Carranza-García and Francisco Martínez-Álvarez and José C. Riquelme},

url = {https://doi.org/10.1007/978-3-030-57802-2_14},

doi = {10.1007/978-3-030-57802-2_14},

year  = {2021},

date = {2021-01-01},

journal = {Advances in Intelligent Systems and Computing},

volume = {N/A},

pages = {144-154},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-030-57802-2_71,

title = {A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets},

author = {Miguel Ángel Molina and Gualberto Asencio-Cortés and José C. Riquelme and Francisco Martínez-Álvarez},

url = {https://doi.org/10.1007/978-3-030-57802-2_71},

doi = {10.1007/978-3-030-57802-2_71},

year  = {2021},

date = {2021-01-01},

journal = {Advances in Intelligent Systems and Computing},

volume = {N/A},

pages = {741-750},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.3390/nano11102706,

title = {Statistically Representative Metrology of Nanoparticles via Unsupervised Machine Learning of TEM Images},

author = {Haotian Wen and José María Luna-Romera and José C. Riquelme and Christian Dwyer and Shery L. Y. Chang},

url = {https://doi.org/10.3390/nano11102706},

doi = {10.3390/nano11102706},

year  = {2021},

date = {2021-01-01},

journal = {Nanomaterials},

volume = {11},

pages = {2706},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{articlec,

title = {OCEAn: Ordinal Classification with an Ensemble Approach},

author = {Belén Vega and Isabel Nepomuceno-Chamorro and Cristina Rubio-Escudero and José Riquelme},

doi = {10.1016/j.ins.2021.08.081},

year  = {2021},

date = {2021-01-01},

journal = {Information Sciences},

volume = {580},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{articlel,

title = {A data mining based clinical decision support system for survival in lung cancer},

author = {Beatriz Pontes and Francisco Núñez-Benjumea and Cristina Rubio-Escudero and Alberto Moreno Conde and Isabel Nepomuceno and Jesús Moreno and Jon Cacicedo and J. M. Praena-Fernández and German Rodriguez and Carlos Parra Calderón and Blas León and E. Campo and Felipe Couñago and José Riquelme and Jose Lopez Guerra},

doi = {10.5603/RPOR.a2021.0088},

year  = {2021},

date = {2021-01-01},

journal = {Reports of Practical Oncology and Radiotherapy},

volume = {26},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{articlem,

title = {OCEAn: Ordinal Classification with an Ensemble Approach},

author = {Belén Vega and Isabel Nepomuceno-Chamorro and Cristina Rubio-Escudero and José Riquelme},

doi = {10.1016/j.ins.2021.08.081},

year  = {2021},

date = {2021-01-01},

journal = {Information Sciences},

volume = {580},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Pedro2020,

title = {Temporal Convolutional Networks Applied to Energy-related Time Series Forecasting},

author = {P Lara-Benítez and M Carranza-García and J M Luna-Romera and J C Riquelme},

doi = {10.3390/app10072322},

year  = {2020},

date = {2020-03-28},

journal = {Applied Sciences},

volume = {10},

number = {7},

pages = {2322},

note = {JCR (2018): 2.217},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Lara-Benítez2020,

title = {Asynchronous dual-pipeline deep learning framework for online data stream classification},

author = {P Lara-Benítez and M Carranza-García and J García-Gutiérrez and J C Riquelme },

doi = {10.3233/ICA-200617},

year  = {2020},

date = {2020-02-27},

journal = {Integrated Computer-Aided Engineering},

volume = {27},

number = {2},

pages = {101-119},

note = {JCR (2018): 4.904},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-030-20055-8_22,

title = {Creation of Synthetic Data with Conditional Generative Adversarial Networks},

author = {Belén Vega-Márquez and Cristina Rubio-Escudero and José C. Riquelme and Isabel Nepomuceno-Chamorro},

url = {https://doi.org/10.1007/978-3-030-20055-8_22},

doi = {10.1007/978-3-030-20055-8_22},

year  = {2020},

date = {2020-01-01},

journal = {Advances in Intelligent Systems and Computing},

volume = {N/A},

pages = {231-240},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.artmed.2020.101976,

title = {Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance},

author = {Laura Macías-García and María Martínez-Ballesteros and José María Luna-Romera and José M. García-Heredia and Jorge García-Gutiérrez and José C. Riquelme-Santos},

url = {https://doi.org/10.1016/j.artmed.2020.101976},

doi = {10.1016/j.artmed.2020.101976},

year  = {2020},

date = {2020-01-01},

journal = {Artificial Intelligence in Medicine},

volume = {110},

pages = {101976},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-030-20055-8_1,

title = {Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering},

author = {José David Martín-Fernández and José María Luna-Romera and Beatriz Pontes and José C. Riquelme-Santos},

url = {https://doi.org/10.1007/978-3-030-20055-8_1},

doi = {10.1007/978-3-030-20055-8_1},

year  = {2020},

date = {2020-01-01},

journal = {Advances in Intelligent Systems and Computing},

volume = {N/A},

pages = {3-13},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1089/big.2020.0051,

title = {Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model},

author = {F. Martínez-Álvarez and G. Asencio-Cortés and J. F. Torres and D. Gutiérrez-Avilés and L. Melgar-García and R. Pérez-Chacón and C. Rubio-Escudero and J. C. Riquelme and A. Troncoso},

url = {https://doi.org/10.1089/big.2020.0051},

doi = {10.1089/big.2020.0051},

year  = {2020},

date = {2020-01-01},

journal = {Big Data},

volume = {8},

pages = {308-322},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{A2019c,

title = {Semi-wrapper feature subset selector for feed-forward neural networks: applications to binary and multi-class classification problems},

author = {A Tallón and R Ruiz and J C Riquelme},

doi = {10.1016/j.neucom.2018.05.133},

year  = {2019},

date = {2019-09-03},

journal = {Neurocomputing},

volume = {353},

pages = {28-44},

note = {JCR(2018): 4.072},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Luna-Romera2019b,

title = {Analysis of the evolution of the Spanish labour market through unsupervised learning},

author = {J M Luna-Romera and F Núñez-Hernández and M Martínez-Ballesteros and J C Riquelme and C. Usabiaga Ibáñez},

doi = {10.1109/ACCESS.2019.2935386},

year  = {2019},

date = {2019-09-02},

journal = {IEEE Access},

note = {JCR (2018) 4.098},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{C2019,

title = {A novel ensemble method for electric vehicle power consumption forecasting: application to the Spanish system},

author = {Gómez-Quiles C and G Asencio–Cortés and A Gastalver-Rubio and F Martínez–Álvarez and A. Troncoso and J C Riquelme and Jesús Manuel Riquelme-Santos},

doi = {10.1109/ACCESS.2019.2936478},

year  = {2019},

date = {2019-09-02},

journal = {IEEE Access},

note = {JCR (2018) 4.098},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{AJ2019,

title = {Filter-based feature selection in the context of evolutionary neural networks in supervised machine learning},

author = {AJ Tallón-Ballesteros and J C Riquelme and R Ruiz},

doi = {10.1007/s10044-019-00798-z},

year  = {2019},

date = {2019-06-05},

journal = {Pattern Analysis and Applications},

pages = {1-25},

note = {JCR(2018): 1.410},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Luna-Romera2019,

title = {External Clustering Validity Index based on chi-squared statistical test},

author = {J M Luna-Romera and M Martínez-Ballesteros and J García-Gutiérrez and J C Riquelme},

doi = {10.1016/j.ins.2019.02.046},

year  = {2019},

date = {2019-02-18},

journal = {Information Sciences},

note = {JCR(2017): 4,305},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{M2019,

title = {A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks},

author = {M Carranza-García and J García-Gutiérrez and J C Riquelme},

doi = {10.3390/rs11030274},

year  = {2019},

date = {2019-01-31},

journal = {Remote Sensing},

volume = {11 (3)},

number = {274},

note = {JCR(2018): 4.118},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.neucom.2016.08.159,

title = {On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule},

author = {Daniel Mateos-García and Jorge García-Gutiérrez and José C. Riquelme-Santos},

url = {https://doi.org/10.1016/j.neucom.2016.08.159},

doi = {10.1016/j.neucom.2016.08.159},

year  = {2019},

date = {2019-01-01},

journal = {Neurocomputing},

volume = {326-327},

pages = {54-60},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-319-94120-2_54,

title = {Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses},

author = {C. Rubio-Escudero and G. Asencio-Cortés and F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme},

url = {https://doi.org/10.1007/978-3-319-94120-2_54},

doi = {10.1007/978-3-319-94120-2_54},

year  = {2019},

date = {2019-01-01},

journal = {Advances in Intelligent Systems and Computing},

volume = {N/A},

pages = {553-561},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{A2018,

title = {A Novel Approach to Forecast Urban Surface-Level Ozone Considering Heterogeneous Locations and Limited Information},

author = {Gómez-Losada A and G Asencio–Cortés and F Martínez–Álvarez and J C Riquelme},

doi = {10.1016/j.envsoft.2018.08.013},

year  = {2018},

date = {2018-09-06},

journal = {Environmental Modelling and Software},

volume = {110},

pages = {52-61},

note = {JCR (2018) 4.552 13/106 Comp. Sc./Int App Q1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pltm16,

title = {Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities},

author = {R Pérez-Chacón and J M Luna-Romera and A Troncoso and F Martínez-Álvarez and J C Riquelme},

doi = {10.3390/en11030683},

year  = {2018},

date = {2018-01-01},

journal = {Energies},

volume = {11},

number = {3},

pages = {683},

note = {JCR: 2,626},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mmgahr18,

title = {MRQAR: a generic MapReduce framework to discover Quantitative Association Rules in Big Data problems},

author = {D Martín and M Martínez-Ballesteros and D García-Gil and J Alcalá-Fdez and F Herrera and J C Riquelme-Santos},

doi = {10.1016/j.knosys.2018.04.037},

year  = {2018},

date = {2018-01-01},

journal = {Knowledge-Based System},

volume = {53},

number = {1},

pages = {176-192},

note = {JCR (2016): 4.529},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{algr18,

title = {Contadores inteligentes: ahorros potenciales para el consumidor},

author = {A Arcos-Vargas and J M Luna-Romera and J García-Gutiérrez and J C Riquelme-Santos},

doi = {10.6036/8782},

year  = {2018},

date = {2018-01-01},

journal = {Dyna},

volume = {93},

number = {3},

pages = {683},

note = {JCR(2017): 0.522},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mgnr17,

title = {Machine learning techniques to discover genes with Potential Prognosis Role in Alzheimer's Disease using different biological sources},

author = {M Martínez-Ballesteros and J M García-Heredia and I Nepomuceno-Chamorro and J C Riquelme},

doi = {10.1016/j.inffus.2016.11.005},

year  = {2017},

date = {2017-01-01},

journal = {Information Fusion},

volume = {36},

pages = {114-129},

note = {JCR (2015): 4.353, Q1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mgr16,

title = {An evolutionary voting for k-nearest neighbours},

author = {D Mateos-García and Jorge García-Gutiérrez and J C Riquelme},

doi = {10.1016/j.eswa.2015.08.017},

year  = {2016},

date = {2016-01-01},

journal = {Expert Systems with Applications},

volume = {43},

pages = {9-14},

note = {JCR(2015): 2.981 Q1 19/130 Computer Science, Artificial Intelligence},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mmtr16,

title = {Improving a multi-objective evolutionary algorithm to discover quantitative association rules},

author = {M Martínez-Ballesteros and F Martínez-Álvarez and A Troncoso and J C Riquelme},

doi = {10.1007/s10115-015-0911-y},

year  = {2016},

date = {2016-01-01},

journal = {Knowledge and Information Systems},

volume = {49},

number = {2},

pages = {481-509},

note = {JCR (2016): 2.004},

keywords = {},

pubstate = {published},

tppubtype = {article}

}