{"id":549,"date":"2020-09-11T05:23:19","date_gmt":"2020-09-11T05:23:19","guid":{"rendered":"http:\/\/jesus-gonzalez.com\/?page_id=549"},"modified":"2020-09-11T05:23:48","modified_gmt":"2020-09-11T05:23:48","slug":"machine-learning","status":"publish","type":"page","link":"https:\/\/jesus-gonzalez.com\/?page_id=549","title":{"rendered":"Machine Learning"},"content":{"rendered":"\n<ul class=\"wp-block-list\"><li>A MapReduce-based Framework to Perform Full Model Selection in Very Large Datasets. Angel Diaz-Pacheco, Jesus A. Gonzalez, Carlos Reyes-Garcia. IADIS International Journal on Computer Science &amp; Information Systems, 13 (1), 2018.<\/li><li>Full Model Selection in Big Data. Angel Diaz-Pacheco, Jesus A. Gonzalez, Carlos Reyes-Garcia. Mexican International Conference on Artificial Intelligence, 279-289, 2017.<\/li><li>MOPG: A Multi-Objective Evolutionary Algorithm for Prototype Generation. HJ Escalante, M Marin-Castro, A. Morales-Reyes, M. Graff, Alejandro Rosales-Perez, Manuel Montes, Carlos Reyes, Jesus A. Gonzalez. Pattern Analysis and Applications, 2017 (20:1), pp. 33 \u2013 47.<\/li><li>An Evolutionary Multi-Objective Model and Instance Selection for Support Vector Machines with Pareto-based Ensembles. A Rosales-Perez, S Garcia, JA Gonzalez, CAC Coello, F Herrera. IEEE Transactions on Evolutionary Computation 2017, 21 (6), 863 \u2013 877.<\/li><li>EMOPG+ FS: Evolutionary Multi-objective Prototype Generation and Feature Selection. Alejandro Rosales-P\u00e9rez, Jesus A Gonzalez, Carlos A Coello Coello, Carlos A Reyes-Garcia, Hugo Jair Escalante. Intelligent Data Analysis, 20, 2016.<\/li><li>Surrogate Modeling based on an Adaptive Network and Granular Computing. I Cruz-Vega, HJ Escalante, CA Reyes, Jesus A Gonzalez, A Rosales. Soft Computing, 2016, 20 (4), pp. 1549 \u2013 1563.<\/li><li>Surrogate-Assisted Multi-Objective Model Selection for Support Vector Machines. A. Rosales-Perez, Jesus A. Gonzalez, CAC Coello, HJ Escalante, CA Reyes-Garcia. Neurocomputing 2015, 150, pp. 163 \u2013 172.<\/li><li>Classifying Infant Cry Patterns by the Genetic Selection of a Fuzzy Model. A Rosales-Perez, CA Reyes-Garcia, JA Gonzalez, OF Reyes Galaviz. 2015 Biomedical Signal Processing and Control, 17, 38 \u2013 46.<\/li><li>Towards a Surrogate-Assisted Multi-Objective Full Model Selection. Alejandro Rosales-Perez, Jesus A. Gonzalez, Carlos Reyes-Garcia, Carlos Coello. Research in Computer Science, 71, pp. 95-105, 2014.<\/li><li>Evolutionary Multi-Objective Approach for Prototype Generation and Feature Selection. A Rosales-Perez, Jesus A Gonzalez, Carlos A Coello-Coello, CA Reyes-Garcia. Iberoamerican Congress on Pattern Recognition, 2014, pp. 424 \u2013 431.<\/li><li>Dimension Reduction Parameters for Leukemia Diagnostic based in Subspace Arrangement Segmentation. Leticia Flores-Pulido, G. Rodriguez-Gomez, Jesus A. Gonzalez. Applied Mathematics &amp; Information Sciences, 8 (6), 2014.<\/li><li>An Evolutionary Multi-Objective Approach for Prototype Generation. A Rosales-Perez, HJ Escalante, CA Coello-Coello, Jesus A Gonzalez, Carlos Reyes-Garcia. IEEE Congress on Evolutionary Computation, 2014, pp. 1100 \u2013 1107.<\/li><li>Multi-Objective Model Type Selection. A Rosales-Perez, JA Gonzalez, CAC Coello, HJ Escalante, 2014, Neurocomputing 146, 83 \u2013 94.<\/li><li>Synthetic Oversampling of Instances Using Clustering. AI Sanchez, EF Morales, Jesus A Gonzalez. International Journal on Artificial Intelligence Tools, 2013, 22 (02).<\/li><li>On the Application of Genetic Selection of a Customized Fuzzy Model for the Classification of Infant Cry Patterns. Alejandro Rosales-Perez, Carlos Reyes-Garcia, Jesus A. Gonzalez, Orion Reyes-Galaviz. Models and Analysis of Vocal Emissions for Biomedical Applications, 2013.<\/li><li>Bias and Variance Multi-Objective Optimization for Support Vector Machines Model Selection. A Rosales-Perez, HJ Escalante, Jesus A Gonzalez, CA Reyes-Garcia, Carlos A Coello-Coello, Iberian Conference on Pattern Recognition and Image Analysis, 2013, pp. 108 \u2013 116.<\/li><li>Bias and Variance Optimization for SVMs Model Selection. A Rosales-Perez, HJ Escalante, Jesus A Gonzalez, CA Reyes-Garcia. The Twenty-Sixth International FLAIRS Conference, 2013.<\/li><li>A Hybrid Surrogate-based Approach for Evolutionary Multi-Objective Optimization. A Rosales-Perez, CAC Coello, JA Gonzalez, CA Reyes-Garcia. 2013 IEEE Congress on Evolutionary Computation, 2548 \u2013 2555.<\/li><li>Acute Leukemia Classification by Ensemble Particle Swarm Model Selection. HJ Escalante, M Montes-y-Gomez, JA Gonzalez, P Gomez-Gil. Artificial Intelligence in Medicine. 2012.<\/li><li>Learning Temporal Nodes Bayesian Networks. P Hernandez-Leal, LE Sucar, JA Gonzalez. 2011, The 24th Florida Artificial Intelligence Research Society Conference (FLAIRS 24).<\/li><li>Genetic Selection of Fuzzy Model for Acute Leukemia Classification. A Rosales-Perez, CA Reyes-Garcia, P Gomez-Gil, Jesus A Gonzalez, Leopoldo Altamirano. Mexican International Conference on Artificial Intelligence, 2011, pp. 537 \u2013 548.<\/li><li>Symbolic One-Class Learning from Imbalanced Datasets: Application in Medical Diagnosis. L Mena, JA Gonzalez. International Journal on Artificial Intelligence Tools, 2009 18 (02), 273 \u2013 309.<\/li><li>Selecting Minority Examples from Misclassified Data for Over-Sampling. Jorge de la Calleja, Olac Fuentes, Jesus A. Gonzalez. FLAIRS Conference, 2008, 276-281.<\/li><li>Weighted Instance-based Learning using Representative Intervals. Octavio Gomez, Eduardo Morales, Jesus A. Gonzalez. Mexican International Conference on Artificial Intelligence, 2007, pp. 420 \u2013 430.<\/li><li>Machine Learning for Imbalanced Datasets: Application in Medical Diagnostic. LJ Mena, JA Gonzalez. FLAIRS 2006, 574-579.<\/li><li>Defining New Argumentation-based Semantics by Minimal Models. JC Nieves, U Cortes, M Osorio, I Olmos, JA Gonzalez. Seventh Mexican International Conference on Computer Science, 2006, pp. 210 \u2013 220.<\/li><li>Data Mining with Decision Trees and Neural Networks for Calcification Detection in Mammograms. BA Flores, JA Gonzalez. Mexican International Conference on Artificial Intelligence, 2004, 232 \u2013 241.<\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>A MapReduce-based Framework to Perform Full Model Selection in Very Large Datasets. Angel Diaz-Pacheco, Jesus A. Gonzalez, Carlos Reyes-Garcia. 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