@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{Pedro2020,

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

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

doi = {10.3390/app10072322},

year  = {2020},

date = {2020-03-28},

journal = {Applied Sciences},

volume = {10},

number = {7},

pages = {2322},

note = {JCR (2018): 2.217},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Lara-Benítez2020,

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

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

doi = {10.3233/ICA-200617},

year  = {2020},

date = {2020-02-27},

journal = {Integrated Computer-Aided Engineering},

volume = {27},

number = {2},

pages = {101-119},

note = {JCR (2018): 4.904},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{A2019c,

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

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

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

year  = {2019},

date = {2019-09-03},

journal = {Neurocomputing},

volume = {353},

pages = {28-44},

note = {JCR(2018): 4.072},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Luna-Romera2019b,

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

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

doi = {10.1109/ACCESS.2019.2935386},

year  = {2019},

date = {2019-09-02},

journal = {IEEE Access},

note = {JCR (2018) 4.098},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{C2019,

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

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

doi = {10.1109/ACCESS.2019.2936478},

year  = {2019},

date = {2019-09-02},

journal = {IEEE Access},

note = {JCR (2018) 4.098},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{AJ2019,

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

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

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

year  = {2019},

date = {2019-06-05},

journal = {Pattern Analysis and Applications},

pages = {1-25},

note = {JCR(2018): 1.410},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Luna-Romera2019,

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

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

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

year  = {2019},

date = {2019-02-18},

journal = {Information Sciences},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{M2019,

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

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

doi = {10.3390/rs11030274},

year  = {2019},

date = {2019-01-31},

journal = {Remote Sensing},

volume = {11 (3)},

number = {274},

note = {JCR(2018): 4.118},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{A2018,

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

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

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

year  = {2018},

date = {2018-09-06},

journal = {Environmental Modelling and Software},

volume = {110},

pages = {52-61},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pltm16,

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

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

doi = {10.3390/en11030683},

year  = {2018},

date = {2018-01-01},

journal = {Energies},

volume = {11},

number = {3},

pages = {683},

note = {JCR: 2,626},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mmgahr18,

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

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

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

year  = {2018},

date = {2018-01-01},

journal = {Knowledge-Based System},

volume = {53},

number = {1},

pages = {176-192},

note = {JCR (2016): 4.529},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{algr18,

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

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

doi = {10.6036/8782},

year  = {2018},

date = {2018-01-01},

journal = {Dyna},

volume = {93},

number = {3},

pages = {683},

note = {JCR(2017): 0.522},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mgnr17,

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

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

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

year  = {2017},

date = {2017-01-01},

journal = {Information Fusion},

volume = {36},

pages = {114-129},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mgr16,

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

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

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

year  = {2016},

date = {2016-01-01},

journal = {Expert Systems with Applications},

volume = {43},

pages = {9-14},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mmtr16,

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

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

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

year  = {2016},

date = {2016-01-01},

journal = {Knowledge and Information Systems},

volume = {49},

number = {2},

pages = {481-509},

note = {JCR (2016): 2.004},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{trr16,

title = {Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks},

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

doi = {10.1080/09540091.2016.1149146},

year  = {2016},

date = {2016-01-01},

journal = {Connection Science},

volume = {28},

number = {3},

pages = {242-257},

note = {JCR (2016): 0.867, Q2},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mtmr16,

title = {Obtaining optimal quality measures for quantitative 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{l16,

title = {A Study of the Suitability of Autoencoders for Preprocessing Data in Breast Cancer Experimentation},

author = {J M Luna-Romera and L Macías-García and J García-Gutiérrez and M Martínez-Ballesteros and J C Riquelme and R González-Cámpora},

doi = {10.1016/j.jbi.2017.06.020},

year  = {2016},

date = {2016-01-01},

journal = {Journal of Biomedical Informatics},

volume = {72},

number = {C},

pages = {33-44},

note = {JCR (2016): 2.753},

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{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{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{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{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{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{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{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{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{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{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{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{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{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{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{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{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{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{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{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{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{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{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}

}