@article{10.1016/j.rineng.2024.103290, title = {Explainable deep learning on multi-target time series forecasting: An air pollution use case}, author = {Manuel J. Jiménez-Navarro and Mario Lovrić and Simonas Kecorius and Emmanuel Karlo Nyarko and María Martínez-Ballesteros}, url = {https://doi.org/10.1016/j.rineng.2024.103290}, doi = {10.1016/j.rineng.2024.103290}, year = {2024}, date = {2024-01-01}, journal = {Results in Engineering}, volume = {24}, pages = {103290}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1016/j.asoc.2024.111504, title = {Explaining deep learning models for ozone pollution prediction via embedded feature selection}, author = {M. J. Jiménez-Navarro and M. Martínez-Ballesteros and F. Martínez-Álvarez and G. Asencio-Cortés}, url = {https://doi.org/10.1016/j.asoc.2024.111504}, doi = {10.1016/j.asoc.2024.111504}, year = {2024}, date = {2024-01-01}, journal = {Applied Soft Computing}, volume = {157}, pages = {111504}, keywords = {}, pubstate = {published}, tppubtype = {article} } @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_8, title = {Ground-Level Ozone Forecasting Using Explainable Machine Learning}, author = {Angela Robledo Troncoso-García and Manuel Jesús Jiménez-Navarro and Francisco Martínez-Álvarez and Alicia Troncoso}, url = {https://doi.org/10.1007/978-3-031-62799-6_8}, doi = {10.1007/978-3-031-62799-6_8}, year = {2024}, date = {2024-01-01}, journal = {Lecture Notes in Computer Science}, volume = {N/A}, pages = {71-80}, 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{10.1007/978-3-031-62799-6_19, title = {Toward Explaining Competitive Success in League of Legends: A Machine Learning Analysis}, author = {Francisco Javier Galán-Sales and María Lourdes Linares-Barrera and Pablo Reina-Jiménez and Ana Rodríguez-López and Manuel Jesús Jiménez-Navarro}, url = {https://doi.org/10.1007/978-3-031-62799-6_19}, doi = {10.1007/978-3-031-62799-6_19}, year = {2024}, date = {2024-01-01}, journal = {Lecture Notes in Computer Science}, volume = {N/A}, pages = {184-193}, 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.2023.109730, title = {A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case}, author = {Jose Miguel Riquelme-Dominguez and Manuel Carranza-García and Pedro Lara-Benítez and Francisco M. González-Longatt}, url = {https://doi.org/10.1016/j.ijepes.2023.109730}, doi = {10.1016/j.ijepes.2023.109730}, year = {2024}, date = {2024-01-01}, journal = {International Journal of Electrical Power & Energy Systems}, volume = {156}, pages = {109730}, 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{10.3233/ica-230726, title = {Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation}, author = {José L. Salazar-González and José María Luna-Romera and Manuel Carranza-García and Juan A. Álvarez-García and Luis M. Soria-Morillo}, url = {https://doi.org/10.3233/ica-230726}, doi = {10.3233/ica-230726}, year = {2024}, date = {2024-01-01}, journal = {Integrated Computer-Aided Engineering}, volume = {31}, pages = {307-326}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1109/sst61991.2024.10755283, title = {Explainable Deep Learning with Embedded Feature Selection for Electricity Demand Forecasting}, author = {M. J. Jiménez-Navarro and A. R. Troncoso-García and A. Troncoso and F. Martínez-Álvarez and M. Martínez-Ballesteros}, url = {https://doi.org/10.1109/sst61991.2024.10755283}, doi = {10.1109/sst61991.2024.10755283}, year = {2024}, date = {2024-01-01}, journal = {2024 International Conference on Smart Systems and Technologies (SST)}, volume = {N/A}, pages = {153-158}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1093/jigpal/jzae062, title = {Embedded feature selection for neural networks via learnable drop layer}, author = {M J JimÉnez-Navarro and M MartÍnez-Ballesteros and I S Brito and F MartÍnez-Álvarez and G Asencio-CortÉs}, url = {https://doi.org/10.1093/jigpal/jzae062}, doi = {10.1093/jigpal/jzae062}, year = {2024}, date = {2024-01-01}, journal = {Logic Journal of the IGPL}, volume = {N/A}, pages = {N/A}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1093/jigpal/jzae030, title = {From simple to complex: a sequential method for enhancing time series forecasting with deep learning}, author = {M J Jiménez-Navarro and M Martínez-Ballesteros and F Martínez-Álvarez and A Troncoso and G Asencio-Cortés}, url = {https://doi.org/10.1093/jigpal/jzae030}, doi = {10.1093/jigpal/jzae030}, year = {2024}, date = {2024-01-01}, journal = {Logic Journal of the IGPL}, volume = {N/A}, pages = {N/A}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1145/3605098.3636034, title = {An evolutionary triclustering approach to discover electricity consumption patterns in France}, author = {David Gutierrez-Aviles and Jose F. Torres and Francisco Martinez-Alvarez and Jairo Cugliari}, url = {https://doi.org/10.1145/3605098.3636034}, doi = {10.1145/3605098.3636034}, year = {2024}, date = {2024-01-01}, journal = {Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing}, volume = {N/A}, pages = {386-394}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1007/978-3-031-62799-6_13, title = {An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines}, author = {Francesc Rodríguez-Díaz and José Francisco Torres and David Gutiérrez-Avilés and Alicia Troncoso and Francisco Martínez-Álvarez}, url = {https://doi.org/10.1007/978-3-031-62799-6_13}, doi = {10.1007/978-3-031-62799-6_13}, year = {2024}, date = {2024-01-01}, journal = {Lecture Notes in Computer Science}, volume = {N/A}, pages = {121-130}, 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{TRONCOSOGARCIA2023169, title = {A new approach based on association rules to add explainability to time series forecasting models}, author = {A. R. Troncoso-García and M. Martínez-Ballesteros and F. Martínez-Álvarez and A. Troncoso}, url = {https://www.sciencedirect.com/science/article/pii/S1566253523000295}, doi = {https://doi.org/10.1016/j.inffus.2023.01.021}, issn = {1566-2535}, year = {2023}, date = {2023-01-01}, journal = {Information Fusion}, volume = {94}, pages = {169-180}, abstract = {Machine learning and deep learning have become the most useful and powerful tools in the last years to mine information from large datasets. Despite the successful application to many research fields, it is widely known that some of these solutions based on artificial intelligence are considered black-box models, meaning that most experts find difficult to explain and interpret the models and why they generate such outputs. In this context, explainable artificial intelligence is emerging with the aim of providing black-box models with sufficient interpretability. Thus, models could be easily understood and further applied. This work proposes a novel method to explain black-box models, by using numeric association rules to explain and interpret multi-step time series forecasting models. Thus, a multi-objective algorithm is used to discover quantitative association rules from the target model. Then, visual explanation techniques are applied to make the rules more interpretable. Data from Spanish electricity energy consumption has been used to assess the suitability of the proposal.}, keywords = {Association rules, Explainable AI, Interpretability, machine learning, Time series forecasting}, pubstate = {published}, tppubtype = {article} } @article{articleh, title = {A Novel Distributed Forecasting Method Based on Information Fusion and Incremental Learning for Streaming Time Series}, author = {Laura Melgar-García and David Gutiérrez-Avilés and Cristina Rubio-Escudero and Alicia Troncoso}, doi = {10.2139/ssrn.4326600}, year = {2023}, date = {2023-01-01}, journal = {SSRN Electronic Journal}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{JIMENEZNAVARRO2023815, title = {PHILNet: A novel efficient approach for time series forecasting using deep learning}, author = {M. J. Jiménez-Navarro and M. Martínez-Ballesteros and F. Martínez-Álvarez and G. Asencio-Cortés}, url = {https://www.sciencedirect.com/science/article/pii/S0020025523003183}, doi = {https://doi.org/10.1016/j.ins.2023.03.021}, issn = {0020-0255}, year = {2023}, date = {2023-01-01}, journal = {Information Sciences}, volume = {632}, pages = {815-832}, abstract = {Time series is one of the most common data types in the industry nowadays. Forecasting the future of a time series behavior can be useful in planning ahead, saving time, resources, and helping avoid undesired scenarios. To make the forecasting, historical data is utilized due to the causal nature of the time series. Several deep learning algorithms have been presented in this area, where the input is processed through a series of non-linear functions to produce the output. We present a novel strategy to improve the performance of deep learning models in time series forecasting in terms of efficiency while reaching similar effectiveness. This approach separates the model into levels, starting with the easiest and continuing to the most difficult. The simpler levels deal with smoothed versions of the input, whereas the most sophisticated level deals with the raw data. This strategy seeks to mimic the human learning process, in which basic tasks are completed initially, followed by more precise and sophisticated ones. Our method achieved promising results, obtaining a 35% improvement in mean squared error and a 2.6 time decrease in training time compared with the best models found in a variety of time series.}, keywords = {Deep learning, Efficiency, Forecasting, Time series}, pubstate = {published}, tppubtype = {article} } @article{10.1186/s40537-023-00745-0, title = {A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting}, author = {Manuel J. Jiménez-Navarro and María Martínez-Ballesteros and Francisco Martínez-Álvarez and Gualberto Asencio-Cortés}, url = {https://doi.org/10.1186/s40537-023-00745-0}, doi = {10.1186/s40537-023-00745-0}, year = {2023}, date = {2023-01-01}, journal = {Journal of Big Data}, volume = {10}, pages = {N/A}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1145/3555776.3578634, title = {A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal}, author = {Manuel Jesus Jimenez Navarro and Maria Martinez Ballesteros and Isabel Sofia Brito and Francisco Martinez Alvarez and Gualberto Asencio Cortes}, url = {https://doi.org/10.1145/3555776.3578634}, doi = {10.1145/3555776.3578634}, year = {2023}, date = {2023-01-01}, journal = {Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing}, volume = {N/A}, pages = {441-448}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1007/978-3-031-42519-6_30, title = {Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation}, author = {Manuel J. Jiménez-Navarro and Belén Vega-Márquez and José María Luna-Romera and Manuel Carranza-García and María Martínez-Ballesteros}, url = {https://doi.org/10.1007/978-3-031-42519-6_30}, doi = {10.1007/978-3-031-42519-6_30}, year = {2023}, date = {2023-01-01}, journal = {Lecture Notes in Networks and Systems}, volume = {N/A}, pages = {319-328}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1007/978-3-031-43078-7_2, title = {Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning}, author = {M. J. Jiménez-Navarro and M. Martínez-Ballesteros and F. Martínez-Álvarez and G. Asencio-Cortés}, url = {https://doi.org/10.1007/978-3-031-43078-7_2}, doi = {10.1007/978-3-031-43078-7_2}, year = {2023}, date = {2023-01-01}, journal = {Lecture Notes in Computer Science}, volume = {N/A}, pages = {15-26}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1007/978-3-031-42536-3_13, title = {Explaining Learned Patterns in Deep Learning by Association Rules Mining}, author = {M. J. Jiménez-Navarro and M. Martínez-Ballesteros and F. Martínez-Álvarez and G. Asencio-Cortés}, url = {https://doi.org/10.1007/978-3-031-42536-3_13}, doi = {10.1007/978-3-031-42536-3_13}, year = {2023}, date = {2023-01-01}, journal = {Lecture Notes in Networks and Systems}, volume = {N/A}, pages = {132-141}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1007/978-3-031-42529-5_20, title = {Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting}, author = {Manuel Jesús Jiménez-Navarro and Camilo Restrepo-Estrada and Laura Melgar-García and David Gutierrez-Aviles}, url = {https://doi.org/10.1007/978-3-031-42529-5_20}, doi = {10.1007/978-3-031-42529-5_20}, year = {2023}, date = {2023-01-01}, journal = {Lecture Notes in Networks and Systems}, volume = {N/A}, pages = {209-218}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1007/978-3-031-18050-7_54, title = {Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection}, author = {Manuel Jesús Jiménez-Navarro and María Martínez-Ballesteros and Isabel Sofia Sousa Brito and Francisco Martínez-Álvarez and Gualberto Asencio-Cortés}, url = {https://doi.org/10.1007/978-3-031-18050-7_54}, doi = {10.1007/978-3-031-18050-7_54}, year = {2023}, date = {2023-01-01}, journal = {Lecture Notes in Networks and Systems}, volume = {N/A}, pages = {557-566}, 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{10.1007/978-3-031-42529-5_25, title = {An Approach to Enhance Time Series Forecasting by Fast Fourier Transform}, author = {F. Javier Galán-Sales and Pablo Reina-Jiménez and Manuel Carranza-García and José María Luna-Romera}, url = {https://doi.org/10.1007/978-3-031-42529-5_25}, doi = {10.1007/978-3-031-42529-5_25}, year = {2023}, date = {2023-01-01}, journal = {Lecture Notes in Networks and Systems}, volume = {N/A}, pages = {259-268}, 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{10.1038/s41392-023-01470-z, title = {A new treatment for sarcoma extracted from combination of miRNA deregulation and gene association rules}, author = {José Manuel García-Heredia and Marco Pérez and Eva M. Verdugo-Sivianes and María M. Martínez-Ballesteros and Sara M. Ortega-Campos and Amancio Carnero}, url = {https://doi.org/10.1038/s41392-023-01470-z}, doi = {10.1038/s41392-023-01470-z}, year = {2023}, date = {2023-01-01}, journal = {Signal Transduction and Targeted Therapy}, volume = {8}, pages = {N/A}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.3390/en16052317, title = {A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia}, author = {Ejigu Tefera Habtemariam and Kula Kekeba and María Martínez-Ballesteros and Francisco Martínez-Álvarez}, url = {https://doi.org/10.3390/en16052317}, doi = {10.3390/en16052317}, year = {2023}, date = {2023-01-01}, journal = {Energies}, volume = {16}, pages = {2317}, 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{10.1007/978-3-031-40725-3_18, title = {A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia}, author = {E. Tefera and M. Martínez-Ballesteros and A. Troncoso and F. Martínez-Álvarez}, url = {https://doi.org/10.1007/978-3-031-40725-3_18}, doi = {10.1007/978-3-031-40725-3_18}, year = {2023}, date = {2023-01-01}, journal = {Lecture Notes in Computer Science}, volume = {N/A}, pages = {207-218}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1007/978-3-031-43085-5_50, title = {Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals}, author = {A. R. Troncoso-García and M. Martínez-Ballesteros and F. Martínez-Álvarez and A. Troncoso}, url = {https://doi.org/10.1007/978-3-031-43085-5_50}, doi = {10.1007/978-3-031-43085-5_50}, year = {2023}, date = {2023-01-01}, journal = {Lecture Notes in Computer Science}, volume = {N/A}, pages = {626-637}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1145/3555776.3578994, title = {Evolutionary computation to explain deep learning models for time series forecasting}, author = {Angela Troncoso Garcia and Alicia Troncoso Lora and Francisco Martinez-Alvarez and Maria Martinez Ballesteros}, url = {https://doi.org/10.1145/3555776.3578994}, doi = {10.1145/3555776.3578994}, year = {2023}, date = {2023-01-01}, journal = {Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing}, volume = {N/A}, pages = {433-436}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1016/j.engappai.2023.106326, title = {Identifying novelties and anomalies for incremental learning in streaming time series forecasting}, author = {Laura Melgar-García and David Gutiérrez-Avilés and Cristina Rubio-Escudero and Alicia Troncoso}, url = {https://doi.org/10.1016/j.engappai.2023.106326}, doi = {10.1016/j.engappai.2023.106326}, year = {2023}, date = {2023-01-01}, journal = {Engineering Applications of Artificial Intelligence}, volume = {123}, pages = {106326}, 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{10.3390/biology12040579, title = {SigPrimedNet: A Signaling-Informed Neural Network for scRNA-seq Annotation of Known and Unknown Cell Types}, author = {Pelin Gundogdu and Inmaculada Alamo and Isabel A. Nepomuceno-Chamorro and Joaquin Dopazo and Carlos Loucera}, url = {https://doi.org/10.3390/biology12040579}, doi = {10.3390/biology12040579}, year = {2023}, date = {2023-01-01}, journal = {Biology}, volume = {12}, pages = {579}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1007/978-3-031-42697-1_5, title = {Cell-Level Pathway Scoring Comparison with a Biologically Constrained Variational Autoencoder}, author = {Pelin Gundogdu and Miriam Payá-Milans and Inmaculada Alamo-Alvarez and Isabel A. Nepomuceno-Chamorro and Joaquin Dopazo and Carlos Loucera}, url = {https://doi.org/10.1007/978-3-031-42697-1_5}, doi = {10.1007/978-3-031-42697-1_5}, year = {2023}, date = {2023-01-01}, journal = {Lecture Notes in Computer Science}, volume = {N/A}, pages = {62-77}, 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{10.1016/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{pontes2023development, title = {Development of a liver graft assessment expert machine-learning system: when the artificial intelligence helps liver transplant surgeons}, author = {Beatriz Pontes Balanza and Juan M Castillo Tuñón and Daniel Mateos García and Javier Padillo Ruiz and José C Riquelme Santos and José M Álamo Martinez and Carmen Bernal Bellido and Gonzalo Suarez Artacho and Carmen Cepeda Franco and Miguel A Gómez Bravo and others}, url = {https://doi.org/10.3389/fsurg.2023.1048451}, doi = {10.3389/fsurg.2023.1048451}, year = {2023}, date = {2023-01-01}, urldate = {2023-01-01}, journal = {Frontiers in Surgery}, volume = {10}, pages = {1048451}, publisher = {Frontiers Media SA}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{isa22, title = {Ten quick tips for biomarker discovery and validation analyses using machine learning}, author = {Ramon Diaz-Uriarte and Elisa Gómez de Lope and Rosalba Giugno and Holger Fröhlich and Petr V. Nazarov and Isabel A. Nepomuceno-Chamorro and Armin Rauschenberger and Enrico Glaab}, url = {https://doi.org/10.1371/journal.pcbi.1010357}, doi = {10.1371/journal.pcbi.1010357}, year = {2022}, date = {2022-01-01}, journal = {PLOS Computational Biology}, volume = {18}, number = {8}, pages = {1-17}, publisher = {Public Library of Science}, 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{10.1093/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{articleb, title = {Ten quick tips for biomarker discovery and validation analyses using machine learning}, author = {Ramon Diaz-Uriarte and Elisa Gomez de Lope and Rosalba Giugno and Holger Fröhlich and Petr Nazarov and Isabel Nepomuceno-Chamorro and Armin Rauschenberger and Enrico Glaab}, doi = {10.1371/journal.pcbi.1010357}, year = {2022}, date = {2022-01-01}, journal = {PLOS Computational Biology}, volume = {18}, pages = {e1010357}, keywords = {}, pubstate = {published}, tppubtype = {article} } @inbook{inbook, title = {An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting}, author = {Belén Vega and Javier Solí­s-Garcí­a and Isabel Nepomuceno-Chamorro and Cristina Rubio-Escudero}, doi = {10.1007/978-3-030-87869-6_64}, isbn = {978-3-030-87868-9}, year = {2022}, date = {2022-01-01}, pages = {675-684}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } @article{articlei, title = {Sa1267: INTRODUCING JOINT MODELING TECHNIQUES FOR PERSONALIZED PREDICTIONS IN CELIAC DISEASE}, author = {Lidia Serrano and Alfonso Rodríguez-Herrera and Carles Serrat and Cristina Rubio-Escudero}, doi = {10.1016/S0016-5085(22)60867-9}, year = {2022}, date = {2022-01-01}, journal = {Gastroenterology}, volume = {162}, pages = {S-361}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{articlej, title = {A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture}, author = {Laura Melgar-García and David Gutiérrez-Avilés and Maria Teresa Godinho and Rita Espada and Isabel Brito and Francisco Martínez-Álvarez and Alicia Troncoso and Cristina Rubio-Escudero}, doi = {10.1016/j.neucom.2021.06.101}, year = {2022}, date = {2022-01-01}, journal = {Neurocomputing}, volume = {500}, 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} } @inbook{inbookb, title = {An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting}, author = {Belén Vega and Javier Solí­s-Garcí­a and Isabel Nepomuceno-Chamorro and Cristina Rubio-Escudero}, doi = {10.1007/978-3-030-87869-6_64}, isbn = {978-3-030-87868-9}, year = {2022}, date = {2022-01-01}, pages = {675-684}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } @article{10.1016/j.knosys.2022.109644, title = {DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting}, author = {M. A. Molina-Cabanillas and M. J. Jiménez-Navarro and R. Arjona and F. Martínez-Álvarez and G. Asencio-Cortés}, url = {https://doi.org/10.1016/j.knosys.2022.109644}, doi = {10.1016/j.knosys.2022.109644}, year = {2022}, date = {2022-01-01}, journal = {Knowledge-Based Systems}, volume = {254}, pages = {109644}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1007/978-3-030-87869-6_68, title = {HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting}, author = {M. J. Jiménez-Navarro and F. Martínez-Alvarez and A. Troncoso and G. Asencio-Cortés}, url = {https://doi.org/10.1007/978-3-030-87869-6_68}, doi = {10.1007/978-3-030-87869-6_68}, year = {2022}, date = {2022-01-01}, journal = {Advances in Intelligent Systems and Computing}, volume = {N/A}, pages = {717-727}, 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{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{10.1145/3477314.3507343, title = {A novel approach to discover numerical association based on the coronavirus optimization algorithm}, author = {C. Segarra-Martín and M. Martínez-Ballesteros and A. Troncoso and F. Martínez-Álvarez}, url = {https://doi.org/10.1145/3477314.3507343}, doi = {10.1145/3477314.3507343}, year = {2022}, date = {2022-01-01}, journal = {Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing}, volume = {N/A}, pages = {1148-1151}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1016/j.procs.2022.09.351, title = {Explainable machine learning for sleep apnea prediction}, author = {A. R. Troncoso-García and M. Martínez-Ballesteros and F. Martínez-Álvarez and A. Troncoso}, url = {https://doi.org/10.1016/j.procs.2022.09.351}, doi = {10.1016/j.procs.2022.09.351}, year = {2022}, date = {2022-01-01}, journal = {Procedia Computer Science}, volume = {207}, pages = {2930-2939}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1111/mice.12810, title = {Deformation forecasting of a hydropower dam by hybridizing a long short‐term memory deep learning network with the coronavirus optimization algorithm}, author = {Kien‐Trinh T. Bui and José F. Torres and David Gutiérrez‐Avilés and Viet‐Ha Nhu and Dieu Tien Bui and Francisco Martínez‐Álvarez}, url = {https://doi.org/10.1111/mice.12810}, doi = {10.1111/mice.12810}, year = {2022}, date = {2022-01-01}, journal = {Computer-Aided Civil and Infrastructure Engineering}, volume = {37}, pages = {1368-1386}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1007/978-3-031-07472-1_18, title = {Updating Prediction Models for Predictive Process Monitoring}, author = {Alfonso E. Márquez-Chamorro and Isabel A. Nepomuceno-Chamorro and Manuel Resinas and Antonio Ruiz-Cortés}, url = {https://doi.org/10.1007/978-3-031-07472-1_18}, doi = {10.1007/978-3-031-07472-1_18}, year = {2022}, date = {2022-01-01}, journal = {Lecture Notes in Computer Science}, volume = {N/A}, pages = {304-318}, keywords = {}, pubstate = {published}, tppubtype = {article} } @inproceedings{10.1007/978-3-030-87869-6_62, title = {Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting}, author = {Manuel Carranza-García and Pedro Lara-Benítez and José María Luna-Romera and José C. Riquelme}, editor = {Hugo Sanjurjo González and Iker Pastor López and Pablo García Bringas and Héctor Quintián and Emilio Corchado}, isbn = {978-3-030-87869-6}, year = {2022}, date = {2022-01-01}, booktitle = {16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)}, pages = {654--664}, publisher = {Springer International Publishing}, address = {Cham}, abstract = {Solar energy is currently among the most important and convenient renewable sources, with a great potential to reduce the use of fossil fuels. However, power generation from solar panels is very irregular and highly dependent on weather conditions. Therefore, solar irradiance forecasting is a fundamental task to ensure an efficient power management. In power plants, besides the temporal observations, it is essential to consider the spatial relationship between close photovoltaic panels. In this work, we study the importance of feature selection for forecasting solar irradiance time series using spatio-temporal data. The experimental study considers nine feature selection techniques and compares the predictive performance of four regression algorithms using the different subsets of features. The data used comes from two different locations in Canada with multiple solar panels. The results demonstrate that including the proper spatial information using feature selection, particularly the methods based on evolutionary computation, enhances significantly the forecasting accuracy.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @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{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{articled, title = {Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market}, author = {Belén Vega and Cristina Rubio-Escudero and Isabel Nepomuceno-Chamorro and Angel Arcos-Vargas}, doi = {10.3390/app11136097}, year = {2021}, date = {2021-01-01}, journal = {Applied Sciences}, volume = {11}, pages = {6097}, keywords = {}, pubstate = {published}, tppubtype = {article} } @inbook{inbookc, title = {Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming}, author = {Laura Melgar-García and David Gutiérrez-Avilés and Cristina Rubio-Escudero and Alicia Troncoso}, doi = {10.1007/978-3-030-85713-4_18}, isbn = {978-3-030-85712-7}, year = {2021}, date = {2021-01-01}, pages = {185-195}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } @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{articlen, title = {Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market}, author = {Belén Vega and Cristina Rubio-Escudero and Isabel Nepomuceno-Chamorro and Angel Arcos-Vargas}, doi = {10.3390/app11136097}, year = {2021}, date = {2021-01-01}, journal = {Applied Sciences}, volume = {11}, pages = {6097}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{articleo, title = {Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach}, author = {José-Lázaro Amaro-Mellado and Laura Melgar-García and Cristina Rubio-Escudero and David Gutiérrez-Avilés}, doi = {10.1016/j.cageo.2021.104736}, year = {2021}, date = {2021-01-01}, journal = {Computers & Geosciences}, volume = {150}, pages = {104736}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1007/978-3-030-86271-8_43, title = {A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery}, author = {M. Á. Molina and M. J. Jiménez-Navarro and F. Martínez-Álvarez and G. Asencio-Cortés}, url = {https://doi.org/10.1007/978-3-030-86271-8_43}, doi = {10.1007/978-3-030-86271-8_43}, year = {2021}, date = {2021-01-01}, journal = {Lecture Notes in Computer Science}, volume = {N/A}, pages = {511-523}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1007/978-3-030-85713-4_21, title = {Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks}, author = {J. F. Torres and M. J. Jiménez-Navarro and F. Martínez-Álvarez and A. Troncoso}, url = {https://doi.org/10.1007/978-3-030-85713-4_21}, doi = {10.1007/978-3-030-85713-4_21}, year = {2021}, date = {2021-01-01}, journal = {Lecture Notes in Computer Science}, volume = {N/A}, pages = {216-225}, 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{10.1007/978-3-030-85713-4_11, title = {Evaluation of the Transformer Architecture for Univariate Time Series Forecasting}, author = {Pedro Lara-Benítez and Luis Gallego-Ledesma and Manuel Carranza-García and José M. Luna-Romera}, url = {https://doi.org/10.1007/978-3-030-85713-4_11}, doi = {10.1007/978-3-030-85713-4_11}, year = {2021}, date = {2021-01-01}, journal = {Lecture Notes in Computer Science}, volume = {N/A}, pages = {106-115}, 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_22, title = {Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering}, author = {Laura Melgar-García and Maria Teresa Godinho and Rita Espada and David Gutiérrez-Avilés and Isabel Sofia Brito and Francisco Martínez-Álvarez and Alicia Troncoso and Cristina Rubio-Escudero}, url = {https://doi.org/10.1007/978-3-030-57802-2_22}, doi = {10.1007/978-3-030-57802-2_22}, year = {2021}, date = {2021-01-01}, journal = {Advances in Intelligent Systems and Computing}, volume = {N/A}, pages = {226-236}, 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{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/app11146410, title = {Evolutionary 3D Image Segmentation of Curve Epithelial Tissues of Drosophila melanogaster}, author = {Carlos Capitán-Agudo and Beatriz Pontes and Pedro Gómez-Gálvez and Pablo Vicente-Munuera}, url = {https://doi.org/10.3390/app11146410}, doi = {10.3390/app11146410}, year = {2021}, date = {2021-01-01}, journal = {Applied Sciences}, volume = {11}, pages = {6410}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{Nepomuceno-Chamorro2020, title = {Using Prior Knowledge in the Inference of Gene Association Networks}, author = {I A Nepomuceno-Chamorro and B Vega-Márquez and J L Galván-Rojas and C Rubio-Escudero and J A Nepomuceno}, doi = {10.1007/s10489-020-01705-4}, year = {2020}, date = {2020-03-31}, journal = {Applied Intelligence}, note = {JCR (2018): 2.882}, keywords = {machine learning}, 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 = {machine learning}, 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 = {data streaming, machine learning}, pubstate = {published}, tppubtype = {article} } @article{B2020, title = {Deep Learning Techniques to Improve the Performance of Olive Oil Classification}, author = {B Vega-Márquez and I Nepomuceno-Chamorro and N Jurado-Campos and C Rubio-Escudero}, doi = {10.3389/fchem.2019.00929}, year = {2020}, date = {2020-01-17}, journal = {Frontiers in Chemistry}, volume = {7}, pages = {929}, note = {JCR (2018): 3.782}, keywords = {machine learning}, pubstate = {published}, tppubtype = {article} } @article{articlee, title = {Generation of Synthetic Data with Conditional Generative Adversarial Networks}, author = {Belén Vega and Cristina Rubio-Escudero and Isabel Nepomuceno-Chamorro}, doi = {10.1093/jigpal/jzaa059}, year = {2020}, date = {2020-01-01}, journal = {Logic Journal of the IGPL}, volume = {30}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{articlef, title = {Using prior knowledge in the inference of gene association networks}, author = {Isabel Nepomuceno-Chamorro and Juan Nepomuceno and José Galván Rojas and Belén Vega and Cristina Rubio-Escudero}, doi = {10.1007/s10489-020-01705-4}, year = {2020}, date = {2020-01-01}, journal = {Applied Intelligence}, volume = {50}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{articleg, title = {Deep Learning Techniques to Improve the Performance of Olive Oil Classification}, author = {Belén Vega and Isabel Nepomuceno-Chamorro and Natividad Campos and Cristina Rubio-Escudero}, doi = {10.3389/fchem.2019.00929}, year = {2020}, date = {2020-01-01}, journal = {Frontiers in Chemistry}, volume = {7}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.3390/rs13010089, title = {On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data}, author = {Manuel Carranza-García and Jesús Torres-Mateo and Pedro Lara-Benítez and Jorge García-Gutiérrez}, url = {https://doi.org/10.3390/rs13010089}, doi = {10.3390/rs13010089}, year = {2020}, date = {2020-01-01}, journal = {Remote Sensing}, volume = {13}, pages = {89}, 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{10.1016/j.bdr.2020.100135, title = {Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration}, author = {A. M. Fernández and D. Gutiérrez-Avilés and A. Troncoso and F. Martínez–Álvarez}, url = {https://doi.org/10.1016/j.bdr.2020.100135}, doi = {10.1016/j.bdr.2020.100135}, year = {2020}, date = {2020-01-01}, journal = {Big Data Research}, volume = {19-20}, pages = {100135}, 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{10.1145/3341105.3374071, title = {High-content screening images streaming analysis using the STriGen methodology}, author = {Laura Melgar-García and David Gutiérrez-Avilés and Cristina Rubio-Escudero and Alicia Troncoso}, url = {https://doi.org/10.1145/3341105.3374071}, doi = {10.1145/3341105.3374071}, year = {2020}, date = {2020-01-01}, journal = {Proceedings of the 35th Annual ACM Symposium on Applied Computing}, volume = {N/A}, pages = {537-539}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1007/978-3-030-20055-8_9, title = {Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks}, author = {Antonio M. Fernández and David Gutiérrez-Avilés and Alicia Troncoso and Francisco Martínez-Álvarez}, url = {https://doi.org/10.1007/978-3-030-20055-8_9}, doi = {10.1007/978-3-030-20055-8_9}, year = {2020}, date = {2020-01-01}, journal = {Advances in Intelligent Systems and Computing}, volume = {N/A}, pages = {91-100}, 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{10.1007/978-3-030-20055-8_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{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 = {machine learning}, 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 = {clustering, machine learning}, 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 = {big data, Energy, machine learning}, pubstate = {published}, tppubtype = {article} } @article{Rodas-Silva2019, title = {Selection of software product line implementation components using recommender systems: An application to Wordpress}, author = {J Rodas-Silva and JA Galindo and J Garcia‐Gutierrez and D Benavides}, doi = {10.1109/ACCESS.2019.2918469}, year = {2019}, date = {2019-09-02}, journal = {IEEE Access}, note = {JCR (2018) 4.099}, keywords = {Software}, 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 = {machine learning}, 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 = {big data, clustering, clustering validation}, 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 = {machine learning}, 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{10.1007/978-3-030-20521-8_22, title = {Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting}, author = {J. F. Torres and D. Gutiérrez-Avilés and A. Troncoso and F. Martínez-Álvarez}, url = {https://doi.org/10.1007/978-3-030-20521-8_22}, doi = {10.1007/978-3-030-20521-8_22}, year = {2019}, date = {2019-01-01}, journal = {Lecture Notes in Computer Science}, volume = {N/A}, pages = {259-269}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1111/ahg.12297, title = {Graph coloring for extracting discriminative genes in cancer data}, author = {Mohamed A. Mahfouz and Juan A. Nepomuceno}, url = {https://doi.org/10.1111/ahg.12297}, doi = {10.1111/ahg.12297}, year = {2019}, date = {2019-01-01}, journal = {Annals of Human Genetics}, volume = {83}, pages = {141-159}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{10.1007/978-3-030-19651-6_14, title = {Convolutional Neural Networks for Olive Oil Classification}, author = {Belén Vega-Márquez and Andrea Carminati and Natividad Jurado-Campos and Andrés Martín-Gómez and Lourdes Arce-Jiménez and Cristina Rubio-Escudero and Isabel A. Nepomuceno-Chamorro}, url = {https://doi.org/10.1007/978-3-030-19651-6_14}, doi = {10.1007/978-3-030-19651-6_14}, year = {2019}, date = {2019-01-01}, journal = {Lecture Notes in Computer Science}, volume = {N/A}, pages = {137-145}, 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{Roldan-Fernandez2018, title = {Cross-Border Energy Exchange and Renewable Premiums: The Case of the Iberian System}, author = {Juan Manuel Roldan-Fernandez and Catalina Gómez-Quiles and Adrien Merre and Manuel Burgos-Payán and Jesús Manuel Riquelme-Santos}, doi = {10.3390/en11123277}, year = {2018}, date = {2018-11-14}, journal = {Energies}, volume = {11}, number = {12}, pages = {3277}, note = {JCR(2017): 2.676}, keywords = {Energy}, pubstate = {published}, tppubtype = {article} } @article{Cerero2018, title = {SCORE: Simulator for cloud optimization of resources and energy consumption}, author = {D. 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Kolodziej}, doi = {https://doi.org/10.1016/j.simpat.2018.09.001}, year = {2018}, date = {2018-11-14}, journal = {Simulation Modelling Practice and Theory}, note = {JCR(2018):2,371 }, keywords = {Software architecture}, pubstate = {published}, tppubtype = {article} } @article{Á.2018, title = {Evaluation of deep neural networks for traffic sign detection systems}, author = {Arcos-García Á. and Álvarez-García J. A. and Morillo Soria L. M. }, doi = {https://doi.org/10.1016/j.neucom.2018.08.009}, year = {2018}, date = {2018-11-14}, journal = {Neurocomputing}, note = {JCR(2017): 3,241}, keywords = {Software architecture}, pubstate = {published}, tppubtype = {article} } @article{Á.2018b, title = {Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods}, author = {Arcos-García Á. and Álvarez-García J. A. and Morillo Soria L. M. }, doi = {https://doi.org/10.1016/j.neunet.2018.01.005}, year = {2018}, date = {2018-11-14}, journal = {Neural Networks}, note = {JCR(2017): 7,197}, keywords = {Software architecture}, 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 = {machine learning}, pubstate = {published}, tppubtype = {article} } @article{Nepomuceno2018, title = {Pairwise gene GO-based measures for biclustering of high-dimensional expression data}, author = {J A Nepomuceno and A Troncoso and I A Nepomuceno-Chamorro and J S Aguilar-Ruiz}, doi = {10.1186/s13040-018-0165-9}, year = {2018}, date = {2018-03-27}, journal = {BioData mining}, volume = {11}, number = {4}, note = {JCR(2018): 2.301}, keywords = {machine learning}, pubstate = {published}, tppubtype = {article} } @article{González2018, title = {Optimal design of neighbouring offshore wind farms: A co-evolutionary approach}, author = {Javier Serrano González and Manuel Burgos Payán and Jesús Manuel Riquelme Santos}, doi = {10.1016/j.apenergy.2017.10.120}, year = {2018}, date = {2018-01-14}, journal = {Applied Energy}, volume = {209}, pages = {140-152}, note = {JCR(2017): 7,900}, keywords = {Energy}, 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{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{faarm18, title = {Novel tree-based algorithm to discover seismic patterns in earthquake catalogs}, author = {E Florido and G Asencio--Cortés and J L Aznarte and C Rubio-Escudero and F Martínez--Álvarez}, doi = {https://doi.org/10.1016/j.cageo.2018.03.005}, year = {2018}, date = {2018-01-01}, journal = {Computers & Geosciences}, volume = {115}, pages = {96-104}, note = {JCR(2016): 2,53}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{ntna18, title = {Pairwise gene GO-based measures for biclustering of high-dimensional expression data}, author = {J Nepomuceno and A Troncoso-Lora and I A Nepomuceno-Chamorro and J Aguilar-Ruiz}, doi = {https://doi.org/10.1186/s13040-018-0165-9}, year = {2018}, date = {2018-01-01}, journal = {Biodata Mining}, volume = {11}, number = {1}, pages = {1-4}, note = {JCR(2016): 1,57}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{gggr18, title = {TRIQ: a new method to evaluate triclusters}, author = {D Gutiérrez-Avilés and R Giráldez and F J Gil-Cumbreras and C Rubio-Escudero}, doi = {https://doi.org/10.1186/s13040-018-0177-5}, year = {2018}, date = {2018-01-01}, journal = {BioData Mining}, volume = {2018}, pages = {11-15}, note = {JCR(2016): 1,57}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{González2017, title = {Optimal wind-turbine micro-siting of offshore wind farms: A grid-like layout approach}, author = {Javier Serrano González and Ángel Luis Trigo García and Manuel Burgos Payán and Jesús Manuel Riquelme Santos and Ángel Gaspar González Rodríguez}, doi = {10.1016/j.apenergy.2017.05.071}, year = {2017}, date = {2017-08-14}, journal = {Applied Energy}, volume = {200}, pages = {28-38}, note = {JCR(2017): 7,900}, keywords = {Energy}, pubstate = {published}, tppubtype = {article} } @article{J.Y.2017, title = {Benchmarking real-time vehicle data streaming models for a Smart city}, author = {Fernandez-Rodrıguez J.Y. and Álvarez-García J.A. and Arias Fisteus J. and Rodríguez Luaces M.A. Corcoba Magaña, V. }, doi = {https://doi.org/10.1016/j.is.2017.09.002. }, year = {2017}, date = {2017-08-14}, journal = {Information Systems}, note = {JCR(2016): 2,551}, keywords = {Software architecture}, pubstate = {published}, tppubtype = {article} } @article{Á.2017, title = {Exploiting synergies of mobile mapping sensors and deep learning for traffic sign recognition systems}, author = {Arcos-García Á. and Soilán M. and Álvarez-García J. A. and Riveiro B. }, doi = {https://doi.org/10.1016/j.eswa.2017.07.042}, year = {2017}, date = {2017-08-14}, journal = {Expert Systems with Applications}, note = {JCR (2016): 3,928}, keywords = {Software architecture}, pubstate = {published}, tppubtype = {article} } @article{delaa.2017, title = {Mobile activity recognition and fall detection system for elderly people using Ameva algorithm}, author = {Álvarez de la Concepción M. Á. and Morillo Soria L. M. and Álvarez-García J. A. and González-Abril, L.}, doi = {https://doi.org/10.1016/j.pmcj.2016.05.002. }, year = {2017}, date = {2017-08-14}, journal = {Pervasive and Mobile Computing}, note = {JCR (2016): 2,974}, keywords = {machine learning}, pubstate = {published}, tppubtype = {article} } @article{Fernández2017, title = {The voluntary price for the small consumer: Real-time pricing in Spain}, author = {Juan Manuel Roldán Fernández and Manuel Burgos Payán and Jesús Manuel Riquelme Santos and Ángel Luis Trigo García}, year = {2017}, date = {2017-03-14}, journal = {Energy Policy, Elsevier}, number = {102}, pages = {41-51}, note = {JCR(2017): 4,039}, keywords = {Energy}, pubstate = {published}, tppubtype = {article} } @article{fatm17, title = {Large earthquake magnitude prediction in Chile with imbalanced classifiers and ensemble learning}, author = {G Fernández-Gómez M. J. andAsencio-Cortés and A Troncoso and F Martínez-Álvarez}, doi = {10.3390/app7060625}, year = {2017}, date = {2017-01-01}, journal = {Applied Sciences}, volume = {7}, number = {6}, pages = {625}, note = {IF: 1.68}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{ldatb17, title = {Content-based methods in peer assessment of open-response questions to grade students as authors and as graders}, author = {O Loaces and J D í and A Alonso-Betanzos and A Troncoso and A Bahamonde}, doi = {10.1016/j.knosys.2016.06.024}, year = {2017}, date = {2017-01-01}, journal = {Knowledge-Based Systems}, volume = {117}, pages = {79-87}, note = {JCR (2016): 4.529}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{rvrnhp17, title = {Data mining techniques applied to hydrogen lactose breath test}, author = {C Rubio-Escudero and J Valverde-Fernandez and A Rodríguez-Herrera and I Nepomuceno-Chamorro and Y Hernández-Mendoza and B Pontes-Balanza}, doi = {10.1371/journal.pone.0170385}, year = {2017}, date = {2017-01-01}, journal = {PLOS ONE}, volume = {12}, number = {1}, note = {IF: 3.057, Q1 11/56}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{ambi17, title = {Earthquake magnitude prediction in Hindukush region using machine learning techniques}, author = {K Asim and F Martínez-Álvarez and A Basit and T Iqbal}, doi = {10.17535/crorr.2016.0011}, year = {2017}, date = {2017-01-01}, journal = {Natural Hazards}, volume = {85}, number = {1}, pages = {471-486}, note = {IF: 1.83}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{amakc, title = {Influence of sintering temperature on the microstructure and mechanical properties of in situ reinforced titanium composites by inductive hot pressing.}, author = {C Arévalo and I Montealegre-Meléndez and E Ariza and Rubio-Escudero M Kitzmantel and Neubauer E C.}, doi = {10.3390/ma9110919}, year = {2017}, date = {2017-01-01}, journal = {Materials}, volume = {9}, number = {11}, pages = {919}, note = {IF: 2.577, Q1 63/271}, 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{ammt17, title = {Medium-large earthquake magnitude prediction in Tokyo with artificial neural networks}, author = {G Asencio-Cortés and F Martínez-Álvarez and A Morales-Esteban and A Troncoso}, doi = {10.1007/s00521-015-2121-7}, year = {2017}, date = {2017-01-01}, journal = {Neural Computing and Applications}, volume = {28}, number = {5}, pages = {1043-1055}, note = {IF: 2.50}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{bamk17, title = {PSF: Introduction to R Package for Pattern Sequence Based Forecasting Algorithm}, author = {N Bokde and G Asencio-Cortés and F Martínez-Álvarez and K Kulat}, year = {2017}, date = {2017-01-01}, journal = {R Journal, in press}, volume = {9}, number = {1}, pages = {324-333}, note = {IF: 1.075}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{gsckurgb17, title = {Quantifying biomass consumption and carbon release from the California Rim fire by integrating airborne LiDAR and Landsat OLI data}, author = {M Garcia and S Saatchi and A Casas and A Koltunov and S Ustin and C Ramirez and J Garcia‐Gutierrez and H Balzter}, doi = {10.1002/2015JG003315}, year = {2017}, date = {2017-01-01}, journal = {Journal of Geophysical Research: Biogeoscience}, volume = {122}, pages = {318}, note = {JCR(2015): 3.318 Q1 27/184 Geoscience, Multidisciplinary}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{assm17, title = {Temporal analysis of Croatian seismogenic zones to improve earthquake magnitude prediction}, author = {G Asencio-Cortés and S Scitovski and R Scitovski and F Martínez-Álvarez}, doi = {10.1007/s12145-017-0295-5}, year = {2017}, date = {2017-01-01}, journal = {Earth Science Informatics, in press}, volume = {10}, number = {3}, pages = {303–320}, note = {JCR (2016): 1.495}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{ammrt17, title = {Using Principal Component Analysis to Improve Earthquake Magnitude Prediction in Japan}, author = {Asencio-Cort G é and Martínez- F Á and A Morales-Esteban and J Reyes and A Troncoso}, year = {2017}, date = {2017-01-01}, journal = {Logic Journal of the IGPL, in press}, volume = {25}, number = {6}, pages = {949–966}, note = {IF: 0.575}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{m17c, title = {Analysis of the Microstructure and Mechanical Properties of Titanium-Based Composites Reinforced by Secondary Phases and B4C Particles Produced via Direct Hot Pressing.}, author = {I Montealegre-Melendez and Ar é and E Ariza and E M Pérez-Soriano and C Rubio-Escudero and M Kitzmantel and E Neubauer}, doi = {doi:10.3390/ma10111240}, year = {2017}, date = {2017-01-01}, journal = {Materials}, volume = {10}, number = {11}, pages = {1240}, note = {IF: 2.577, Q1 63/271}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{Enríquez2016, title = {An approach to the use of word embeddings in an opinion classification task}, author = {Fernando Enríquez and José A. Troyano and Tomás López-Solaz}, doi = {10.1016/j.eswa.2016.09.005}, year = {2016}, date = {2016-11-01}, journal = {Expert Systems with Applications}, volume = {66}, pages = {1-6}, note = {JCR (2016): 3,928}, keywords = {machine learning}, pubstate = {published}, tppubtype = {article} } @article{Fernández2016, title = {Renewable generation versus demand-side management. A comparison for the Spanish market}, author = {Juan Manuel Roldán Fernández and Manuel Burgos Payán and Jesús Manuel Riquelme Santos and Ángel Luis Trigo García}, year = {2016}, date = {2016-09-14}, journal = {Energy Policy, Elsevier}, number = {96}, pages = {458-470}, note = {JCR(2016): 4,14}, keywords = {Energy}, pubstate = {published}, tppubtype = {article} } @article{Cotelo2016, title = {Tweet categorization by combining content and structural knowledge}, author = {Juan M. Cotelo and Fermín L. Cruz and Fernando Enríquez and José Antonio Troyano Jiménez}, doi = {10.1016/j.inffus.2016.01.002}, year = {2016}, date = {2016-09-14}, journal = {Information Fusion}, volume = {31}, pages = {54-64}, note = {JCR (2016): 5,667}, keywords = {machine learning}, pubstate = {published}, tppubtype = {article} } @article{Morillo2016, title = {Discrete classification technique applied to TV advertisements liking recognition system based on low-cost eeg headsets}, author = {LM Soria Morillo and JA Álvarez-García and L Gonzalez-Abril and JA Ortega Ramírez }, doi = {https://doi.org/10.1186/s12938-016-0181-2. }, year = {2016}, date = {2016-09-14}, journal = {Biomedical Engineering Online}, note = {JCR (2016): 1,683}, keywords = {machine learning}, pubstate = {published}, tppubtype = {article} } @article{Delgado2016, title = {Reusing UI elements with Model-Based User Interface Development}, author = {Antonio Delgado and Antonio Jose Estepa and José Antonio Troyano Jiménez and Rafael Estepa}, doi = {10.1016/j.ijhcs.2015.09.003}, year = {2016}, date = {2016-02-14}, journal = {International Journal of Human-Computer Studies, }, volume = {86}, pages = {48-62}, note = {JCR (2016): 2,863}, keywords = {machine learning}, pubstate = {published}, tppubtype = {article} } @article{dftm16, title = {A new methodology based on imbalanced classification for predicting outliers in electricity demand time series}, author = {F J Duque-Pintor and Fernández-G M J ó and A Troncoso and Martínez- F Á}, year = {2016}, date = {2016-01-01}, journal = {Energies}, volume = {9}, number = {9}, pages = {752}, note = {IF: 2.262}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{ll15, title = {A comparison of machine learning techniques applied to Landsat TM5 spectral data for biomass estimation.}, author = {P M López-Serrano and C A López-Sánchez and Álvarez-González J G and García-Gutiérrez J}, doi = {10.1080/07038992.2016.1217485}, year = {2016}, date = {2016-01-01}, journal = {Canadian Journal of Remote Sensing}, volume = {42}, number = {6}, pages = {690-705}, note = {JCR: 1.976 Q2 12/28 Remote Sensing}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{aftm16, title = {A novel methodology to predict urban traffic congestion with ensemble learning}, author = {G Asencio-Cortés and E Florido and A Troncoso and F Martínez-Álvarez}, doi = {10.1007/s00500-016-2288-6}, year = {2016}, date = {2016-01-01}, journal = {Soft Computing}, volume = {20}, number = {11}, pages = {4205-4216}, note = {IF: 2.47}, 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{mrgg16, title = {An immunohistochemical profile predictive of recurrence and/or mortality in patients with non-special type (NST) invasive mammary carcinoma}, author = {L Macías-García and A Robles-Frías and J García-Gutiérrez and R González-Cámpora}, doi = {-}, year = {2016}, date = {2016-01-01}, journal = {Analytical and Quantitative Cytopathology and Histopathology}, volume = {38}, number = {3}, pages = {159-167}, note = {JCR(2015): 0.918 Q4 179/187 CELL BIOLOGY}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{rmgm16, title = {Comparison between Utsu's and Vere-Jones' aftershocks model by means of a computer simulation based on the Acceptance-rejection Sampling of von Neumann}, author = {J Reyes and A Morales-Esteban and E González and F Martínez-Álvarez}, doi = {10.1016/j.tecto.2016.06.005}, year = {2016}, date = {2016-01-01}, journal = {Tectonophysics}, volume = {682}, pages = {108-119}, note = {IF: 2.69}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{gbgetg16, title = {Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest}, author = {J Guerra-Hernández and E Bastos G{o}rgens and J Garcia-Gutierrez and L C Estraviz Rodriguez and M Tomé and E González-Ferreiro}, doi = {10.5721/EuJRS20164911}, year = {2016}, date = {2016-01-01}, journal = {European Journal of Remote Sensing}, volume = {49}, number = {533}, pages = {185-204}, note = {JCR(2016): 1.533 Q3 20/29 Remote Sensing}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{t16, title = {Contemporary training methodologies based on evolutionary artificial neural networks with product and sigmoid neurons for classification}, author = {A J Tallón-Ballesteros}, doi = {10.3233/AIC-150681}, year = {2016}, date = {2016-01-01}, journal = {AI Communications}, volume = {29}, number = {3}, pages = {469-471}, note = {JCR (2015): 0.364}, 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{481-509}, note = {JCR (2016): 2.004}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{g16d, title = {Improving models for environmental applications of LiDAR: novel approaches based on soft computing}, author = {J Garcia-Gutierrez}, doi = {10.3233/AIC-140643}, year = {2016}, date = {2016-01-01}, journal = {AI Communications}, volume = {29}, number = {1}, pages = {213-214}, note = {JCR (2015): 0.364 Q4 126/130 Computer Science, Artificial Intelligence}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{dhtms16, title = {Massive Missing Data Reconstruction in Ocean Buoys with Evolutionary Product Unit Neural Networks}, author = {A M Durán-Rosal and C Hervás-Martínez and A J Tallón-Ballesteros and A C Martínez-Estudillo and S Salcedo-Sanz}, doi = {10.1016/j.oceaneng.2016.03.053}, year = {2016}, date = {2016-01-01}, journal = {Ocean Engineering}, volume = {117}, pages = {292-301}, note = {JCR (2015): 1.488, Q1}, keywords = {}, pubstate = 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association rules}, author = {M Martínez-Ballesteros and A Troncoso and F Martínez-Álvarez and J C Riquelme}, doi = {10.1016/j.neucom.2014.10.100}, year = {2016}, date = {2016-01-01}, journal = {Neurocomputing}, volume = {176}, pages = {36-47}, note = {JCR (2016): 3.317, Q1}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{mgr16b, title = {On the evolutionary weighting of neighbours and features in the k-Nearest Neighbours rule}, author = {D Mateos-García and Jorge García-Gutiérrez and J C Riquelme}, year = {2016}, date = {2016-01-01}, journal = {Neurocomputing}, volume = {326–327}, number = {31}, pages = {54-60}, note = {JCR (2016): 3.317, Q1}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{mapnrk16, title = {Analysis of the influence of starting materials and processing conditions on the properties of W/Cu alloys}, author = {I Montealegre-Meléndez and C Arévalo and E M Perez-Soriano and E Neubauer and C Rubio-Escudero and M 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Javier Ortega}, doi = {10.1016/j.eswa.2015.02.003}, year = {2015}, date = {2015-06-14}, journal = {Expert Systems with Applications}, volume = {42}, number = {10}, pages = {4743-4754}, note = {JCR (2015): 2,981}, keywords = {machine learning}, pubstate = {published}, tppubtype = {article} } @article{grfabcipm, title = {Ethnic difference in risk of toxicity in prostate cancer patients treated with dynamic arc radiation therapy}, author = {Matute l. Guerra J. 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A.}, doi = {https://doi.org/10.1016/j.patrec.2015.06.018. }, year = {2015}, date = {2015-03-14}, journal = {Pattern Recognition Letters}, note = {JCR (2014): 1,586}, keywords = {Software architecture}, pubstate = {published}, tppubtype = {article} } @article{Carmona-Delgado2015, title = {Probabilistic load flow with versatile non-Gaussian power injections}, author = {Cristina Carmona-Delgado and Esther Romero-Ramos and Jesús Manuel Riquelme Santos}, doi = {10.1016/j.epsr.2014.10.006}, year = {2015}, date = {2015-02-14}, journal = {Electric Power Systems Research}, volume = {119}, pages = {266-277}, note = {JCR (2015): 1,809}, keywords = {Energy}, pubstate = {published}, tppubtype = {article} } @article{Gjoreski2015, title = {Competitive Live Evaluations of Activity-Recognition Systems}, author = {H Gjoreski and S Kozina and M Gams and M Lustrek and JA Álvarez-García and JH Hong and Julian Ramos and Anind K Dey, Maurizio Bocca and Neal Patwari}, doi = {10.1109/MPRV.2015.3. }, year = {2015}, date = {2015-01-14}, journal = {Pervasive Computing, IEEE}, note = {JCR (2014): 1,836}, keywords = {machine learning}, pubstate = {published}, tppubtype = {article} } @article{fmmra15, title = {Detecting precursory patterns to enhance earthquake prediction in Chile}, author = {E Florido and F Martínez-Álvarez and A Morales-Esteban and J Reyes and J L Aznarte}, doi = {10.1016/j.cageo.2014.12.002}, year = {2015}, date = {2015-01-01}, journal = {Computers and Geosciences}, volume = {76}, pages = {112-120}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{gmtr15, title = {A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables}, author = {J Garcia-Gutierrez and F Martinez-Alvarez and A Troncoso and J C Riquelme}, doi = {10.1016/j.neucom.2014.09.091}, year = {2015}, date = {2015-01-01}, journal = {Neurocomputing.}, volume = {167}, pages = {24-31}, note = {JCR(2015): Q1 31/130 Computer Science, Artificial Intelligence}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{ldatb15, title = {A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments}, author = {O Loaces and J Díez and A Alonso-Betanzos and A Troncoso and A Bahamonde}, doi = {10.1016/j.knosys.2015.05.019}, year = {2015}, date = {2015-01-01}, journal = {Knowledge-Based Systems}, volume = {85}, pages = {322-328}, note = {JCR (2015)}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{taj15, title = {A multi-scale smoothing kernel for measuring time-series similarity}, author = {A Troncoso and M Arias and Riquelme Jc.}, doi = {10.1016/j.neucom.2014.08.099}, year = {2015}, date = {2015-01-01}, journal = {Neurocomputing}, volume = {167}, pages = {8-17}, note = {JCR(2015): Q1 31/130 Computer Science, Artificial Intelligence}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{ta15, title = {A new multiple classifier system for the prediction of protein's contacts map}, author = {C E Santiesteban Toca and J S Aguilar-Ruiz}, year = {2015}, date = {2015-01-01}, journal = {Inf. Process Lett.}, volume = {115}, number = {12}, pages = {983-990}, note = {JCR (2015): 0.605}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{mgmrar15, title = {A novel method for seismogenic zoning based on triclustering. Application to the Iberian Peninsula}, author = {F Martínez-Álvarez and D Gutiérrez-Avilés and A Morales-Esteban and J Reyes and J L Amaro-Mellado and C Rubio-Escudero}, doi = {10.3390/e17075000}, year = {2015}, date = {2015-01-01}, journal = {Entropy}, volume = {17}, number = {7}, pages = {5000-5021}, note = {IF: 1.743 Q2 25/79}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{mtar15, title = {A Survey on Data Mining Techniques Applied to Electricity-Related Time Series Forecasting}, author = {F Martínez-Álvarez and A Troncoso and Asencio-Cort G é and J C Riquelme}, doi = {10.3390/en81112361}, year = {2015}, date = {2015-01-01}, journal = {Energies}, volume = {8}, number = {11}, pages = {13162-13193}, note = {IF 2.077, 72/231 Energy Q2}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{ggmr15, title = {An Evolutionary Majority Voting to Improve Support Vector Machines' Classification of LIDAR and Imagery Data Fusion}, author = {J Garcia-Gutierrez and M Garcia and D Mateos-Garcia and J C Riquelme}, doi = {10.1016/j.neucom.2014.08.086}, year = {2015}, date = {2015-01-01}, journal = {Neurocomputing}, volume = {163}, pages = {17-24}, note = {JCR(2015): Q1 31/130 Computer Science, Artificial Intelligence}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{pgj15, title = {Biclustering on Expression Data: A Review}, author = {B Pontes and R Giráldez and Aguilar-Ruiz Js.}, doi = {10.1016/j.jbi.2015.06.028}, year = {2015}, date = {2015-01-01}, journal = {Journal of Biomedical Informatics}, volume = {75}, pages = {163-180}, note = {IF Q1 20/104}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{nma15, title = {Building transcriptional association networks in Cytoscape with RegNetC}, author = {I A Nepomuceno-Chamorro and A E Márquez and J S Aguilar Ruiz}, doi = {10.1109/TCBB.2014.2385702}, year = {2015}, date = {2015-01-01}, journal = {IEEE/ACM Transactions on Computational Biology and Bioinformatics}, volume = {12}, number = {4}, pages = {823-4}, note = {IF: 1.609 Q1 26/123 STATISTICS & PROBABILITY, Q2 32/101 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{mbtr15, title = {Enhancing the scalability of evolutionary algorithms to discover quantitative association rules in large-scale datasets}, author = {M Martínez-Ballesteros and J Bacardit and A Troncoso and J C Riquelme}, doi = {10.3233/ICA-140479}, year = {2015}, date = {2015-01-01}, journal = {Integrated Computer-Aided Engineering}, volume = {22}, number = {1}, pages = {21-39}, note = {JCR (2015): 4.981, Q1}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{ntna15, title = {Integrating biological knowledge based on functional annotations for biclustering of gene expression data}, author = {J A Nepomuceno and A Troncoso-Lora and I A Nepomuceno-Chamorro and J Aguilar-Ruiz}, doi = {10.1016/j.cmpb.2015.02.010}, year = {2015}, date = {2015-01-01}, journal = {Computer Methods and Programs in Biomedicine}, volume = {119}, number = {3}, pages = {163-180}, note = {JCR (2015): 1.862 Q1 16/105 Computer Science, Theory and Methods}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{tscrp15, title = {Local models-based regression trees for very short-term wind speed prediction}, author = {A Troncoso and S Salcedo-Sanz and C Casanova-Mateo and J C Riquelme and L Prieto}, doi = {10.1016/j.renene.2015.03.071}, year = {2015}, date = {2015-01-01}, journal = {Renewable Energy}, volume = {81}, pages = {589-598}, note = {IF , 24/81 Energy Q2, 10/29 Green Sc&Tech Q2}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{gr15, title = {MSL: A Measure to Evaluate Three-dimensional Patterns in Gene Expression Data}, author = {D Gutiérrez-Avilés and C Rubio-Escudero}, doi = {10.4137/EBO.S25822}, year = {2015}, date = {2015-01-01}, journal = {Evol Bioinform}, volume = {11}, number = {404}, pages = {121-135}, note = {IF: , Q3 30/56}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{pgj15b, title = {Quality Measures for Gene Expression Biclusters}, author = {B Pontes and R Giráldez and Aguilar-Ruiz Js.}, doi = {10.1371/journal.pone.0115497}, year = {2015}, date = {2015-01-01}, journal = {PLOS ONE}, volume = {2}, number = {3}, pages = {1-24}, note = {IF 3.057 Q1 11/63}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{nta15, title = {Scatter search-based identification of local patterns with positive and negative correlations in gene expression data}, author = {J A Nepomuceno and A Troncoso-Lora and J Aguilar-Ruiz}, doi = {10.1016/j.asoc.2015.06.019}, year = {2015}, date = {2015-01-01}, journal = {Applied Soft Computing}, volume = {35}, pages = {635-651}, note = {JCR(2015): Q1 16/104 Computer Science, Interdisciplinary Applications}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{cc15, title = {Soft computing methods for the prediction of protein tertiary structures: A survey}, author = {Alfonso E Márquez Chamorro and G Asencio Cortés and C E Santiesteban Toca and J S Aguilar-Ruiz}, doi = {10.1016/j.asoc.2015.06.024}, year = {2015}, date = {2015-01-01}, journal = {Appl. 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Application to San Pedro cliff at the Alhambra in Granada}, author = {Morales-Esteban A. and J L de Justo and J Reyes and Aza{ J M n} ó and J M Durand and Martínez- F Á}, doi = {10.1016/j.soildyn.2014.10.023}, year = {2015}, date = {2015-01-01}, journal = {Soil Dynamics and Earthquake Engineering}, volume = {69}, pages = {28-45}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{González-Longatt2014, title = {Wind-resource atlas of Venezuela based on on-site anemometry observation}, author = {Francisco González-Longatt and Javier Serrano González and Manuel Burgos Payán and Jesús Manuel Riquelme Santos}, doi = {10.1016/j.rser.2014.07.172}, year = {2014}, date = {2014-11-14}, journal = {Renewable and Sustainable Energy Reviews, Elsevier}, volume = {39}, pages = {898-911}, note = {JCR (2014): 5,901}, keywords = {Energy}, pubstate = {published}, tppubtype = {article} } @article{Fernández-Montes2014, title = {Software reference architecture for smart environments: Perception}, author = {A. Fernández-Montes and J. A. Ortega and J.I. Sánchez-Venzalá and L. González-Abril}, doi = {https://doi.org/10.1016/j.csi.2014.02.004}, year = {2014}, date = {2014-11-14}, journal = {Computer Standards & Interfaces }, volume = {36}, number = {6}, pages = {928-940}, note = {JCR(2014):1,177}, keywords = {Software architecture}, pubstate = {published}, tppubtype = {article} } @article{Cruz2014, title = {Building layered, multilingual sentiment lexicons at synset and lemma levels}, author = {Fermín L. Cruz and José A. Troyano and Beatriz Pontes and F. Javier Ortega }, doi = {10.1016/j.eswa.2014.04.005}, year = {2014}, date = {2014-10-14}, journal = {Expert Systems with Applications}, volume = {41}, number = {13}, pages = {5984-5994}, note = {JCR (2014): 2,240}, keywords = {machine learning}, pubstate = {published}, tppubtype = {article} } @article{Fernázndez-Montes2014, title = {Energy wasting at Internet Data centers due to Fear}, author = {A. Fernández-Montes and D. Fernández and L. González-Abril and J. A. Ortega and J. A. Álvarez }, doi = {https://doi.org/10.1016/j.patrec.2015.06.018}, year = {2014}, date = {2014-06-18}, journal = {Pattern Recognition Letters}, volume = {66}, pages = {59-65}, note = {JCR(2015):1,58}, keywords = {Software architecture}, pubstate = {published}, tppubtype = {article} } @article{González2014, title = {A review and recent developments in the optimal wind-turbine micro-siting problem}, author = {Javier Serrano González and Manuel Burgos Payán and Jesús Manuel Riquelme Santos and Francisco González-Longatt}, doi = {10.1016/j.rser.2013.09.027}, year = {2014}, date = {2014-02-14}, journal = {Renewable and Sustainable Energy Reviews, Elsevier}, volume = {30}, pages = {133-144}, note = {JCR (2014): 5,901}, keywords = {Energy}, pubstate = {published}, tppubtype = {article} } @article{Cotelo2014, title = {Dynamic topic-related tweet retrieval}, author = {Juan M. Cotelo and Fermín L. Cruz and José A. Troyano}, doi = {10.1002/asi.22991}, year = {2014}, date = {2014-01-14}, journal = {Journal of the Association for Information Science and Technology }, volume = {65}, number = {3}, pages = {513-523}, note = {JCR (2014): 1,864}, keywords = {machine learning}, pubstate = {published}, tppubtype = {article} } @article{mmss14, title = {A fast partitioning algorithm using adaptive Mahalanobis clustering with application to seismic zoning}, author = {A Morales-Esteban and S Martínez-Álvarez F. and Scitovski and R Scitovski}, doi = {10.1016/j.cageo.2014.09.003}, year = {2014}, date = {2014-01-01}, journal = {Computers and Geosciences}, volume = {73}, pages = {132-141}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{ta14, title = {A similarity-based approach for data stream classification}, author = {Dayrelis Mena Torres and Jes 'u}, doi = {10.1016/j.eswa.2013.12.041}, year = {2014}, date = {2014-01-01}, journal = {Expert Syst. Appl.}, volume = {41}, number = {9}, pages = {4224-4234}, note = {JCR (2014): 2.240}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{cpo14, title = {Building Layered, Multilingual Sentiment Lexicons at Synset and Lemma Levels}, author = {Fermín L. Cruz and José A. Troyano and Beatriz Pontes and F. Javier Ortega}, doi = {10.1016/j.eswa.2014.04.005}, year = {2014}, date = {2014-01-01}, journal = {Expert Systems With Applications}, volume = {41}, number = {13}, pages = {5984-5994}, note = {IF 2.240 Q1 29/123}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{jgmprnppga14, title = {Data mining tools for predicting the risk of toxicity in prostate cancer patients treated with radiation therapy}, author = {R Jose and J L Lopez Guerra and R Matute and B Pontes and C Rubio and I Nepomuceno and F Puebla and J M Praena-Fernandez and M J Ortiz Gordillo and I Azinovic}, doi = {10.1016/S0167-8140(15)30841-0}, year = {2014}, date = {2014-01-01}, journal = {Radiotherapy Oncology}, volume = {111}, number = {1}, pages = {S30}, note = {IF: 4.317, Q1 11/125}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{mnr14, title = {Discovering gene association networks by multi-objective evolutionary quantitative association rules}, author = {M Martínez-Ballesteros and I A Nepomuceno-Chamorro and J C Riquelme}, doi = {10.1016/J.JCSS.2013.03.010}, year = {2014}, date = {2014-01-01}, journal = {Journal of Computer and Systems Sciences}, volume = {89}, number = {1}, pages = {118-136}, note = {JCR (2014): , Q2}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{m14, title = {Discovering quantitative association rules: A novel approach based on evolutionary algorithms}, author = {M Martínez-Ballesteros}, doi = {10.3233/AIC-130590}, year = {2014}, date = {2014-01-01}, journal = {AI Communications}, volume = {27}, number = {2}, pages = {153-165}, note = {JCR (2014): 0.547, Q4}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{p14, title = {Evolutionary Biclustering of Gene Expression Data: Shifting and Scaling Pattern-based Evaluation}, author = {B Pontes}, doi = {10.3233/AIC-140598}, year = {2014}, date = {2014-01-01}, journal = {AI Communications}, volume = {27}, number = {3}, pages = {288-290}, note = {IF 0.547 Q4 111/123}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{ccda14, title = {Evolutionary decision rules for predicting protein contact maps}, author = {A E Márquez Chamorro and Asencio Cort é and Divina F. and J S Aguilar-Ruiz}, year = {2014}, date = {2014-01-01}, journal = {Pattern Anal. Appl.}, volume = {17}, number = {4}, pages = {725-737}, note = {JCR (2014): 0.646}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{ggmdrn14, title = {Evolutionary feature selection to estimate forest stand variables using LiDAR}, author = {J García-Gutiérrez and E González-Ferreiro and D Miranda and U Dieguez and J C Riquelme Santos and R M Navarro-Cerrillo}, doi = {10.1016/j.jag.2013.06.005}, year = {2014}, date = {2014-01-01}, journal = {International Journal of Applied Earth Observation and Geoinformation.}, volume = {26}, number = {2}, pages = {119-131}, note = {JCR(2014): 2.6 Q1 3/28 Remote Sensing}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{gr14, title = {Mining 3D patterns from gene expression temporal data: a new tricluster evaluation measure}, author = {D Gutiérrez-Avilés and C Rubio-Escudero}, doi = {10.1155/2014/624371}, year = {2014}, date = {2014-01-01}, journal = {The Scientific World Journal}, volume = {1}, pages = {453}, note = {IF: Q1 13/59}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{mmtj14, title = {Selecting the best measures to discover quantitative association rules}, author = {M Martínez-Ballesteros and F Martínez-Álvarez and A Troncoso and Riquelme Jc.}, doi = {10.1016/j.neucom.2013.01.056}, year = {2014}, date = {2014-01-01}, journal = {Neurocomputing}, volume = {126}, pages = {3-14}, note = {JCR (2014): 2.083, Q2}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{rnnjgi, title = {Transcriptional response to cardiac injury in the zebrafish: systematic identification of genes with highly concordant activity across in vivo models.}, author = {S Rodius and P V Nazarov and I A Nepomuceno-Chamorro and C Jeanty and J M González-Rosa and M Ibberson and Benites Costa da R.M. and Xenarios I. and Mercader N. and Azuaje F.}, doi = {10.1186/1471-2164-15-852}, year = {2014}, date = {2014-01-01}, journal = {BMC Genomics}, volume = {15}, number = {896}, pages = {852-867}, note = {IF: 26/163 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{grmr14, title = {TriGen: A genetic algorithm to mine triclusters in temporal gene expression data}, author = {D Gutiérrez-Avilés and C Rubio-Escudero and Martínez- F Á and J C Riquelme}, doi = {10.1016/j.neucom.2013.03.061}, year = {2014}, date = {2014-01-01}, journal = {Neurocomputing}, volume = {132}, pages = {42-53}, note = {IF: 2.083 Q/123}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{rrrh13, title = {A Study of Subgroup Discovery Approaches for Defect Prediction}, author = {D Rodriguez and R Ruiz and J C Riquelme and R Harrison}, doi = {10.1016/j.infsof.2013.05.002}, year = {2013}, date = {2013-01-01}, journal = {Information and Software Technology}, volume = {55}, number = {10}, pages = {1810-1822}, note = {IF 1.328, 31/105 Soft Eng Q2, 51/135 Inf Sys Q2}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{pgj13, title = {Configurable Pattern-based Evolutionary Biclustering of Gene Expression Data}, author = {B Pontes and R Giráldez and Aguilar-Ruiz Js.}, doi = {10.1186/1748-7188-8-4}, year = {2013}, date = {2013-01-01}, journal = {Algorithms for Molecular Biology}, volume = {8}, number = {1}, pages = {4-26}, note = {IF 1.857 Q2 19/52}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{mmr13, title = {Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula}, author = {Reyes J Martínez-Álvarez and A Morales-Esteban and C Rubio-Escudero}, doi = {10.1016/j.knosys.2013.06.011}, year = {2013}, date = {2013-01-01}, journal = {Knowledge-Based Systems}, volume = {50}, pages = {198-210}, note = {IF: 3.058 Q/121}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{mmr13b, title = {Earthquake prediction in seismogenic areas of the Iberian Peninsula based on computational intelligence}, author = {A Morales-Esteban and F Martínez-Álvarez and J Reyes}, year = {2013}, date = {2013-01-01}, journal = {Tectonophysics}, volume = {593}, pages = {121-134}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{thrr13, title = {Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems}, author = {A J Tallón-Ballesteros and C Hervás-Martínez and J C Riquelme and R Ruiz}, doi = {10.1016/j.neucom.2012.08.041}, year = {2013}, date = {2013-01-01}, journal = {Neurocomputing}, volume = {114}, number = {19}, pages = {107-117}, note = {JCR (2013): 2.005, Q1}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{sler13, title = {Finding Improved Local Minima of Power System Optimization Problems by Interior-Point Methods}, author = {Jes 'u and Alicia Troncoso Lora and Antonio Gómez Exp ó and José Mart L í}, year = {2013}, date = {2013-01-01}, journal = {IEEE Transactions on Power Systems}, volume = {18}, number = {3}, pages = {238-244}, note = {IF: 3.530}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{gbbgd13, title = {Modelling stand biomass fractions in Galician Eucalyptus globulus plantations by use of different LiDAR pulse densities}, author = {Miranda D González-Ferreiro and L Barreiro-Fernandez and S Bujan and J Garcia-Gutierrez and U Dieguez-Aranda}, doi = {10.5424/fs/2013223-03878}, year = {2013}, date = {2013-01-01}, journal = {Forest Systems}, volume = {22}, number = {3}, pages = {510-525}, note = {JCR (2013): 0.620 Q3 40/66 FORESTRY}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{rmm13, title = {Neural networks to predict earthquakes in Chile}, author = {J Reyes and A Morales-Esteban and F Martínez-Álvarez}, year = {2013}, date = {2013-01-01}, journal = {Applied Soft Computing}, volume = {13}, number = {2}, pages = {1314-1328}, note = {IF 2.61}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{dpgj12, title = {An effective measure for assessing the quality of biclusters}, author = {F Divina and B Pontes and R Giráldez and Aguilar-Ruiz Js.}, doi = {10.1016/j.compbiomed.2011.11.015}, year = {2012}, date = {2012-01-01}, journal = {Computers in Biology and Medicine}, volume = {42}, number = {2}, pages = {245-256}, note = {IF 1.162 Q3 60/100}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{fhrr12, title = {Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection}, author = {F Fernández-Navarro and César Hervás-Mart í and Roberto Ruiz and Jose C Riquelme}, doi = {10.1016/j.asoc.2012.01.008}, year = {2012}, date = {2012-01-01}, journal = {Applied Soft Computing}, volume = {12}, number = {6}, pages = {1787-1800}, note = {IF 2.140, 18/100 Int App Q1, 23/115 Art Int Q1}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{gmj12, title = {EVOR-STACK: a label-dependent evolutive stacking on remote sensing data fusion}, author = {J García Gutiérrez and D Mateos García and Riquelme Jc.}, doi = {10.1016/j.neucom.2011.02.020}, year = {2012}, date = {2012-01-01}, journal = {Neurocomputing}, volume = {75}, number = {1}, pages = {115-122}, note = {JCR(2012): 1.634 Q2 37/115 Computer Science, Artificial Intelligence}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{rrag12, title = {Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches}, author = {R Ruiz and J C Riquelme and J S Aguilar-Ruiz and Garc M í}, doi = {10.1016/j.eswa.2012.03.061}, year = {2012}, date = {2012-01-01}, journal = {Expert Systems with Applications}, volume = {39}, number = {12}, pages = {11094-11102}, note = {Pages. IF 1.854, 13/79 Oper Res Q1, 56/243 Eng Elec Q1}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{r12b, title = {Fusion of Knowledge towards the Identification of Genetic Profiles}, author = {C Rubio-Escudero}, doi = {10.3233/AIC-2011-0506}, year = {2012}, date = {2012-01-01}, journal = {AI Communications}, volume = {25}, number = {1}, pages = {65-67}, note = {IF: 0.449}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{mgr12, title = {On the evolutionary optimization of k-NN by label-dependent feature weighting}, author = {D Mateos-García and J García-Gutiérrez and J C Riquelme-Santos}, doi = {10.1016/j.patrec.2012.08.011}, year = {2012}, date = {2012-01-01}, journal = {Pattern Recognition Letters}, volume = {33}, number = {16}, pages = {2232-2238}, note = {JCR (2012): 1.266 Q2 56/115 Computer Science, Artificial Intelligence}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{mjmn12, title = {Probabilistic method to select calculation accelerograms based on USHAR spectra.}, author = {A Morales-Esteban and J L de Justo and F Martínez-Álvarez and J M Aza{ n}ón}, year = {2012}, date = {2012-01-01}, journal = {Soil Dynamics and Earthquake Engineering}, volume = {43}, number = {3}, pages = {174-185}, note = {IF 1.28}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{rrra12, title = {Searching for Rules to Detect Defective Modules: A Subgroup Discovery Approach}, author = {D Rodriguez and R Ruiz and J C Riquelme and J S Aguilar-Ruiz}, doi = {10.1016/j.ins.2011.01.039}, year = {2012}, date = {2012-01-01}, journal = {Information Sciences}, volume = {191}, pages = {14-30}, note = {IF , 6/132 Inf Sys Q1}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{th11, title = {A two-stage algorithm in evolutionary product unit neural networks for classification}, author = {A J Tallón-Ballesteros and C Hervás-Martínez}, doi = {10.1016/j.neucom.2012.08.041}, year = {2011}, date = {2011-01-01}, journal = {Exp. Syst. Appl.}, volume = {38}, number = {1}, pages = {743-754}, note = {JCR (2011): 2.203, Q1}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{mmr11, title = {An Evolutionary Algorithm to Discover Quantitative Association Rules in Multidimensional Time Series}, author = {M Martínez-Ballesteros and Troncoso A and Martínez-Álvarez F. and J C Riquelme}, doi = {10.1007/s00500-011-0705-4}, year = {2011}, date = {2011-01-01}, journal = {Soft Computing}, volume = {15}, number = {10}, pages = {2065-2084}, note = {IF 1.880 24/99 Int App Q1, 30/111 Art Int Q2}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{ggr11, title = {Automatic environmental quality assessment for mixed-land zones using LIDAR and intelligent techniques}, author = {J Garcia Gutierrez and L Gonçalves Seco and J C Riquelme}, doi = {10.1016/j.eswa.2010.12.065}, year = {2011}, date = {2011-01-01}, journal = {Expert Systems with Applications}, volume = {38}, pages = {6}, note = {JCR(2011): 2.203 Q1 22/111 Computer Science, Multidisciplinary}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{ardn11, title = {CARGENE: Characterization of Set of Genes based on Metabolic Pathway Analysis}, author = {J S Aguilar-Ruiz and Rodr D í and N Diaz-Diaz and I Nepomuceno}, doi = {10.1504/IJDMB.2011.043033}, year = {2011}, date = {2011-01-01}, journal = {International Journal of Data Mining and Bioinformatics}, volume = {5}, number = {5}, pages = {558-573}, note = {IF: 0.429 Q4 44/46 MATHEMATICAL & COMPUTATIONAL BIOLOGY}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{m11, title = {Clustering preprocessing to improve time series forecasting}, author = {F Martínez-Álvarez}, year = {2011}, date = {2011-01-01}, journal = {Artificial Intelligence Communications}, volume = {24}, number = {1}, pages = {97-98}, note = {IF 0.837}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{mtra11, title = {Discovery of motifs to forecast outlier occurrence in time series}, author = {F Martínez-Álvarez and A Troncoso and J C Riquelme and J S Aguilar-Ruiz}, doi = {10.1016/j.patrec.2011.05.002}, year = {2011}, date = {2011-01-01}, journal = {Pattern Recognition Letters}, volume = {32}, number = {12}, pages = {1652-1665}, note = {IF 1.0/111 Art Int Q3}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{mtra11b, title = {Energy time series forecasting based on pattern sequence similarity}, author = {F Martínez-Álvarez and A Troncoso and J C Riquelme and J S Aguilar-Ruiz}, doi = {10.1109/TKDE.2010.227}, year = {2011}, date = {2011-01-01}, journal = {IEEE Transactions on Knowledge and Data Engineering}, volume = {23}, number = {8}, pages = {1230-1243}, note = {IF 1.657, 29/135 Inf Sys Q1, 35/111 Art Int Q2}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{msrcc11, title = {Evolutionary Association Rules for Total Ozone Content Modeling from Satellite Observations}, author = {M Martínez-Ballesteros and S Salcedo-Sanz and J C Riquelme and C Casanova-Mateo and J L Camacho}, doi = {10.1016/j.chemolab.2011.09.011}, year = {2011}, date = {2011-01-01}, journal = {Chemometrics and Intelligent Laboratory Systems}, volume = {109}, number = {2}, pages = {217-227}, note = {JCR (2011): 1.920, Q1}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{nadnmad11, title = {Prognostic transcriptional association networks: A new supervised approach based on regression trees}, author = {I A Nepomuceno-Chamorro and F Azuaje and Y Devaux and P V Nazarov and A Muller and J S Aguilar-Ruiz and Wagner Dr.}, doi = {10.1093/bioinformatics/btq645}, year = {2011}, date = {2011-01-01}, journal = {Bioinformatics}, volume = {27}, number = {2}, pages = {252-258}, note = {IF: 5.468 15/158 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{rrz, title = {Optimization of Multi-classifiers for Computational Biology: Application to gene finding and expression.}, author = {C Rubio-Escudero and R Romero-Záliz and Val I C del Zwir}, doi = {10.1007/s00214-009-0648-3}, year = {2010}, date = {2010-03-15}, journal = {Theoretical Chemistry Accounts}, volume = {125}, number = {3-6}, pages = {599-611}, note = {IF: , Q2 43/127}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{naj10, title = {Inferring gene regression networks with model trees}, author = {I A Nepomuceno-Chamorro and J S Aguilar-Ruiz and Riquelme Jc.}, doi = {10.1186/1471-2105-11-517}, year = {2010}, date = {2010-01-01}, journal = {BMC Bioinformatics}, volume = {11}, pages = {517-529}, note = {IF: Q1 4/37 MATHEMATICAL & COMPUTATIONAL BIOLOGY, Q2 57/158 BIOTECHNOLOGY & APPLIED MICROBIOLOGY}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{mtmj10, title = {Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution}, author = {M Martínez-Ballesteros and A Troncoso and F Martínez-Álvarez and Riquelme Jc.}, doi = {10.3233/ICA-2010-0340}, year = {2010}, date = {2010-01-01}, journal = {Integrated Computer-Aided Engineering}, volume = {17}, number = {3}, pages = {227-242}, note = {JCR (2010): 2.122, Q1}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{mmtdr10, title = {Pattern recognition to forecast seismic time series}, author = {F Martínez-Álvarez and A Morales-Esteban and A Troncoso and J L de Justo and C Rubio}, doi = {10.1016/j.eswa.2010.05.050}, year = {2010}, date = {2010-01-01}, journal = {Exp. Syst. Appl.}, volume = {37}, number = {12}, pages = {8333-8342}, note = {IF: 1.926 Q2 34/108}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{rrchcz08, title = {A multiobjective evolutionary conceptual clustering methodology for gene annotation within structural databases: a case of study on the gene ontology database}, author = {R C Romero-Zaliz and C Rubio-Escudero and J P Cobb and F Herrera and O Cordón and I Zwir}, doi = {10.1109/TEVC.2008.915995}, year = {2008}, date = {2008-01-01}, journal = {Evolutionary Computation, IEEE Transactions on}, volume = {12}, number = {6}, pages = {679-701}, note = {IF: 3.849, Q1 3/94}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{traj08, title = {Evolutionary Techniques applied to the optimal short-term scheduling of the electrical energy production}, author = {A Troncoso and J C Riquelme and J S Aguilar-Ruiz and Riquelme Jm.}, doi = {10.1016/j.ejor.2006.06.044}, year = {2008}, date = {2008-01-01}, journal = {European Journal of Operational Research}, volume = {185}, number = {3}, pages = {1114-1127}, note = {IF 1.627, 13/64 Oper Res Q1}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{agatr07, title = {Application of fuzzy logic and data mining techniques as tools for qualitative interpretation of acid mine drainage processes}, author = {J Aroba and J A Grande and J M Andujar and M L de la Torre and J C Riquelme}, doi = {10.1007/s00254-006-0627-0}, year = {2007}, date = {2007-01-01}, journal = {Environmental Geology}, volume = {53}, number = {1}, pages = {135-145}, note = {IF 0,722 102/137 Geos Q3}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{trgmj07, title = {Electricity market price forecasting based on weighted nearest neighbors techniques}, author = {A Troncoso and J M Riquelme and A Gómez and J L Martínez and Riquelme Jc.}, doi = {10.1109/TPWRS.2007.901670}, year = {2007}, date = {2007-01-01}, journal = {IEEE Transactions on Power Systems}, volume = {22}, number = {3}, pages = {1294-1301}, note = {IF 1,698, 60/227 Eng Elec Q2}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{agj07, title = {Natural encoding for evolutionary supervised learning}, author = {J S Aguilar-Ruiz and R Giráldez and Riquelme Jc.}, doi = {10.1109/TEVC.2006.883466}, year = {2007}, date = {2007-01-01}, journal = {IEEE Transactions on Evolutionary Computation}, volume = {11}, number = {4}, pages = {466-479}, note = {IF 2.426, 5/79 Th. Met Q1, 10/93 Art Int Q1}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{nrarg07, title = {SatDNA Analyzer: a computing tool for satellite-DNA evolutionary analysis}, author = {R Navajas-Pérez and C Rubio-Escudero and J L Aznarte and M R Rejón and M A Garrido-Ramos}, doi = {10.1093/bioinformatics/btm005}, year = {2007}, date = {2007-01-01}, journal = {Bioinformatics}, volume = {23}, number = {6}, pages = {767-768}, note = {IF: 5.039 Q1 8/60}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{rpapfr06, title = {A comparison of effort estimation methods for 4GL programs: experiences with Statistics and Data Mining}, author = {J C Riquelme and M Polo and J S Aguilar-Ruiz and M Piattini and F Ferrer and F Ruiz}, doi = {10.1142/S0218194006002719}, year = {2006}, date = {2006-01-01}, journal = {International Journal of Software Engineering and Knowledge Engineering}, volume = {16}, number = {1}, pages = {127-140}, note = {IF 0.413, 69/82 Soft Q4, 71/85 Eng Art Int Q4, 146/206 Eng Elec Q3}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{l06, title = {Advances in Optimization and Prediction Techniques: Real-World Applications}, author = {A Troncoso Lora}, year = {2006}, date = {2006-01-01}, journal = {Artificial Intelligence Communications, IOS Press}, volume = {3}, number = {19}, pages = {295-297}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{rrj06, title = {Incremental wrapper-based gene selection from microarray expresion data for cancer classification}, author = {R Ruiz and J C Riquelme and Aguilar-Ruiz Js.}, doi = {10.1016/j.patcog.2005.11.001}, year = {2006}, date = {2006-01-01}, journal = {Pattern Recognition}, volume = {39}, number = {12}, pages = {2383-2392}, note = {IF 1.822, 18/85 Art Int Q1, 28/206 Eng Elec Q1}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{faj05, title = {Connecting Segments for Visual Data Exploration and Interactive Mining of Decision Rules}, author = {F Ferrer-Troyano and J S Aguilar-Ruiz and Riquelme Jc.}, doi = {10.3217/jucs-011-11-1835}, year = {2005}, date = {2005-01-01}, journal = {Journal of Universal Computer Science}, volume = {11}, number = {11}, pages = {1835-1848}, note = {IF 0.337, 68/79 Q4, Soft Eng 64/71 Th. Meth. Q4}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{faj05b, title = {Incremental Rule Learning and Border Examples Selection from Numerical Data Streams}, author = {F Ferrer-Troyano and J S Aguilar-Ruiz and Riquelme Jc.}, doi = {10.3217/jucs-011-08-1426}, year = {2005}, date = {2005-01-01}, journal = {Journal of Universal Computer Science}, volume = {11}, number = {8}, pages = {1426-1439}, note = {IF 0.337, 68/79 Q4, Soft Eng 64/71 Th. Meth. Q4}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{gaj05, title = {Knowledge-based Fast Evaluation for Evolutionary Learning}, author = {R Giráldez and J S Aguilar-Ruiz and Riquelme Jc.}, doi = {10.1109/TSMCC.2004.841904}, year = {2005}, date = {2005-01-01}, journal = {IEEE Systems, Man and Cybernetics Part C}, volume = {35}, number = {2}, pages = {254-261}, note = {IF 0.706, 7/18 Cyb Q2, 48/79 Art Int Q3, 49/83 Int App Q3}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{art03, title = {Evolutionary Learning of Hierarchical Decision Rules}, author = {J Aguilar-Ruiz and J C Riquelme and M Toro}, doi = {10.1109/TSMCB.2002.805696}, year = {2003}, date = {2003-01-01}, journal = {IEEE Systems, Man and Cybernetics Part B}, volume = {33}, number = {2}, pages = {324-331}, note = {IF: 1.029, 14/47 Autom Q2, 32/77 Art Int Q2, 4/18 Cyb Q1}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{rat03, title = {Finding representative patterns with ordered projections}, author = {J C Riquelme and J S Aguilar-Ruiz and M Toro}, doi = {10.1016/S0031-3203(02)00119-X}, year = {2003}, date = {2003-01-01}, journal = {Pattern Recognition}, volume = {36}, number = {4}, pages = {1009-1018}, note = {IF 1.611, 22/77 Art Int Q2, 37/205 Eng Elec Q1}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{Riquelme0000, title = {Supervised Learning by means of Accuracy-aware Evolutionary Algorithms}, author = {J C Riquelme and J S Aguilar-Ruiz and C del Valle}, doi = {10.1016/S0020-0255(03)00175-0}, year = {2003}, date = {2003-01-01}, journal = {Information Sciences}, volume = {156}, number = {3-4}, pages = {173-188}, note = {IF: 0.447, 58/78 Inf Sys Q3}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{rra02, title = {Projection-based measure for efficient feature selection}, author = {R Ruiz and J C Riquelme and J S Aguilar-Ruiz}, year = {2002}, date = {2002-01-01}, journal = {Journal of Intelligent and Fuzzy Systems}, volume = {12}, number = {3-4}, pages = {175-183}, note = {IF: 0.092, 70/74 Artif Int Q4}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{rrct01, title = {An evolutionary and local search algorithm for motion planning of two manipulators}, author = {M A Ridao and J C Riquelme and E F Camacho and M Toro}, doi = {10.1002/rob.1037}, year = {2001}, date = {2001-01-01}, journal = {Journal of Robotic System}, volume = {18}, number = {8}, pages = {463-476}, note = {IF: 0.505, 6/12 Robotics Q2}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{arrt01, title = {An evolutionary approach to estimating software development projects}, author = {J Aguilar and I Ramos and J C Riquelme and M Toro}, doi = {10.1016/S0950-5849(01)00193-8}, year = {2001}, date = {2001-01-01}, journal = {Information and Software Technology}, volume = {43}, number = {14}, pages = {875-882}, note = {IF: 0.257, 60/73 Inf Syst Q4, 59/60 Soft Eng Q4}, keywords = {}, pubstate = {published}, tppubtype = {article} }