Miguel García-Torres

52 papers B 2C 1Misc 1Journal 29Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep learning prediction of tooth extraction decisions from limited intraoral and extraoral image data. Discov. Artif. Intell. Ricardo Daniel Escobar Torres, Julieta Mendez, Pedro E. Gardel-Sotomayor, Ulises Villasanti, Ana Liesel Guggiari, Marta Ferreira, Julio César Mello Román, José Luis Vázquez Noguera, Miguel García-Torres, Jazmin Servin, María Silvia Verón González, Cecilia María Marín Ramírez
2026	J	`jnl`	RFMSU: A multivariate symmetrical uncertainty-based random forest. Pattern Recognit. Miguel García-Torres, Francisco Saucedo, Federico Divina, Santiago Gómez-Guerrero
2025	J	`jnl`	BinRec: addressing data sparsity and cold-start challenges in recommender systems with biclustering. Appl. Intell. Domingo S. Rodríguez-Baena, Francisco Gómez-Vela, Aurelio López-Fernández, Miguel García-Torres, Federico Divina
2025	J	`jnl`	Data Mining for Enhancing Learning and Assessment to a Microcompetence-Based Methodology in Higher Education. Rev. Iberoam. de Tecnol. del Aprendiz. Aurelio López-Fernández, Federico Divina, Francisco Antonio Gómez Vela, Miguel García-Torres
2025	J	`jnl`	Feature selection for high-dimensional data using a multivariate search space reduction strategy based scatter search. J. Heuristics Miguel García-Torres
2024	J	`jnl`	Effective Identification and Authentication of Healthcare IoT Using Fog Computing with Hybrid Cryptographic Algorithm. Symmetry P. Britto Corthis, G. P. Ramesh, Miguel García-Torres, Roberto Ruiz
2024	J	`jnl`	Feature selection applied to QoS/QoE modeling on video and web-based mobile data services: An ordinal approach. Comput. Commun. Miguel García-Torres, Diego P. Pinto-Roa, Carlos Nunez Castillo, Brenda Quiñonez, Gabriela Vázquez, Mauricio Allegretti, María E. García-Díaz
2024	J	`jnl`	Feature selection: a perspective on inter-attribute cooperation. Int. J. Data Sci. Anal. Gustavo Sosa-Cabrera, Santiago Gómez-Guerrero, Miguel García-Torres, Christian E. Schaerer
2024	—	`conf`	Fraudulent Transactions Identification Using a Machine Learning Approach. SOCO (2) Silvia Vázquez-Noguera, Miguel García-Torres, Sebastián A. Grillo, Francisco Gómez-Vela, Katherin Arrua, Ricardo R. Palma, Lorena Andrea Bearzotti
2024	J	`jnl`	Machine learning for electric energy consumption forecasting: Application to the Paraguayan system. Log. J. IGPL Felix Morales-Mareco, Miguel García-Torres, Federico Divina, Diego H. Stalder, Carlos Sauer Ayala
2023	J	`jnl`	Evolutionary feature selection on high dimensional data using a search space reduction approach. Eng. Appl. Artif. Intell. Miguel García-Torres, Roberto Ruiz, Federico Divina
2023	J	`jnl`	Feature Selection: A perspective on inter-attribute cooperation. CoRR Gustavo Sosa-Cabrera, Santiago Gómez-Guerrero, Miguel García-Torres, Christian E. Schaerer
2023	C	`conf`	Multiclass Diabetic Retinopathy Classification of Eye Fundus Images Small Datasets Performance Improvement - A Neuroevolution Approach. CLEI José Luis Vázquez Noguera, Julio César Mello Román, Diego P. Pinto-Roa, Santiago Gómez, Jordan Ayala, Diego A. Aquino Brítez, Pedro E. Gardel-Sotomayor, Miguel García-Torres, Jacques Facon, Verónica Elisa Castillo Benitez, Ingrid Castro Matto, Pastor E. Pérez Estigarribia
2022	J	`jnl`	Measuring Interactions in Categorical Datasets Using Multivariate Symmetrical Uncertainty. Entropy Santiago Gómez-Guerrero, Inocencio Ortiz, Gustavo Sosa-Cabrera, Miguel García-Torres, Christian E. Schaerer
2021	J	`jnl`	A multi-GPU biclustering algorithm for binary datasets. J. Parallel Distributed Comput. Aurelio López-Fernández, Domingo S. Rodríguez-Baena, Francisco Gómez-Vela, Federico Divina, Miguel García-Torres
2021	J	`jnl`	Adjacent Inputs With Different Labels and Hardness in Supervised Learning. IEEE Access Sebastián A. Grillo, Julio César Mello Román, Jorge Daniel Mello-Román, Jose Luis Vazquez Noguera, Miguel García-Torres, Federico Divina, Pedro E. Gardel-Sotomayor
2021	—	`conf`	Automatic Diagnosis of Diabetic Retinopathy from Fundus Images Using Neuro-Evolutionary Algorithms. MedInfo Diego A. Aquino Brítez, Jordan Ayala Gómez, José Luis Vázquez Noguera, Miguel García-Torres, Julio César Mello Román, Pedro E. Gardel-Sotomayor, Verónica Elisa Castillo Benitez, Ingrid Castro Matto, Diego P. Pinto-Roa, Jaques Facon, Sebastián Alberto Grillo
2021	—	`conf`	Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images with Residual Neural Networks. MIE Rodrigo Parra, Verena Ojeda, José Luis Vázquez Noguera, Miguel García-Torres, Julio César Mello Román, Cynthia Villalba, Jacques Facon, Federico Divina, Olivia Cardozo, Verónica Elisa Castillo, Ingrid Castro Matto
2021	—	`conf`	Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach. SOCO José A. Gallardo, Miguel García-Torres, Francisco Gómez-Vela, Félix Morales, Federico Divina, David Becerra-Alonso, Gustavo Velázquez, Federico Daumas-Ladouce, José Luis Vázquez Noguera, Carlos Sauer Ayala, Diego P. Pinto-Roa, Pedro E. Gardel-Sotomayor, Julio César Mello Román
2021	J	`jnl`	Genome-wide prediction of topoisomerase IIβ binding by architectural factors and chromatin accessibility. PLoS Comput. Biol. Pedro Manuel Martínez García, Miguel García-Torres, Federico Divina, José Terrón-Bautista, Irene Delgado-Sainz, Francisco Gómez-Vela, Felipe Cortés-Ledesma
2021	—	`conf`	Scatter search for high-dimensional feature selection using feature grouping. GECCO Companion Miguel García-Torres, Francisco Gómez-Vela, Federico Divina, Diego P. Pinto-Roa, José Luis Vázquez Noguera, Julio César Mello Román
2021	J	`jnl`	Technical analysis strategy optimization using a machine learning approach in stock market indices. Knowl. Based Syst. Jordan Ayala, Miguel García-Torres, José Luis Vázquez Noguera, Francisco Gómez-Vela, Federico Divina
2020	—	`conf`	Analysis of Student Achievement Scores via Cluster Analysis. ICEUTE Viviana Elizabeth Jiménez Chaves, Miguel García-Torres, David Becerra-Alonso, Francisco Gómez-Vela, Federico Divina, Jose Luis Vazquez Noguera
2020	J	`jnl`	Identifying livestock behavior patterns based on accelerometer dataset. J. Comput. Sci. Domingo S. Rodríguez-Baena, Francisco Gómez-Vela, Miguel García-Torres, Federico Divina, Carlos D. Barranco, Norberto Díaz-Díaz, Manuel Jiménez, Gema Montalvo
2020	—	`conf`	Multi-Objective Pareto Histogram Equalization. CLEI Selected Papers Federico Daumas-Ladouce, Miguel García-Torres, José Luis Vázquez Noguera, Diego P. Pinto-Roa, Horacio Legal Ayala
2019	J	`jnl`	A multivariate approach to the symmetrical uncertainty measure: Application to feature selection problem. Inf. Sci. Gustavo Sosa-Cabrera, Miguel García-Torres, Santiago Gómez-Guerrero, Christian E. Schaerer, Federico Divina
2019	—	`conf`	Analysis of Student Achievement Scores: A Machine Learning Approach. CISIS-ICEUTE Miguel García-Torres, David Becerra-Alonso, Francisco Antonio Gómez Vela, Federico Divina, Isabel López-Cobo, Francisco Martínez-Álvarez
2019	—	`conf`	Analysis of Teacher Training in Mathematics in Paraguay's Elementary Education System Using Machine Learning Techniques. CISIS-ICEUTE Viviana Elizabeth Jiménez Chaves, Miguel García-Torres, José Luis Vázquez Noguera, César D. Cabrera Oviedo, Andrea Paola Riego Esteche, Federico Divina, Manuel Marrufo-Vázquez
2019	J	`jnl`	Ensemble and Greedy Approach for the Reconstruction of Large Gene Co-Expression Networks. Entropy Francisco Gómez-Vela, Fernando M. Delgado-Chaves, Domingo S. Rodríguez-Baena, Miguel García-Torres, Federico Divina
2019	J	`jnl`	Entropy and Contrast Enhancement of Infrared Thermal Images Using the Multiscale Top-Hat Transform. Entropy Julio César Mello Román, José Luis Vázquez Noguera, Horacio Legal Ayala, Diego P. Pinto-Roa, Santiago Gómez-Guerrero, Miguel García-Torres
2019	—	`conf`	Map-Elites Algorithm for Features Selection Problem. AMW Brenda Quiñonez, Diego P. Pinto-Roa, Miguel García-Torres, María E. García-Díaz, Carlos Nunez Castillo, Federico Divina
2019	J	`jnl`	Predictive Models for the Medical Diagnosis of Dengue: A Case Study in Paraguay. Comput. Math. Methods Medicine Jorge Daniel Mello-Román, Julio César Mello Román, Santiago Gómez-Guerrero, Miguel García-Torres
2019	J	`jnl`	RGB Inter-Channel Measures for Morphological Color Texture Characterization. Symmetry Nelson Luis Durañona Sosa, José Luis Vázquez Noguera, Juan José Cáceres Silva, Miguel García-Torres, Horacio Legal Ayala
2019	—	`conf`	Self-Assessment of the Computer Engineering Career at the Universidad Americana. ICACIT Viviana Elizabeth Jiménez Chaves, Graciela Molinas Santana, Andrea Paola Riego Esteche, José Luis Vázquez Noguera, Miguel García-Torres, Sergio Duarte Masi
2018	B	`conf`	Analysis of Relevance and Redundance on Topoisomerase 2b (TOP2B) Binding Sites: A Feature Selection Approach. EvoApplications Pedro Manuel Martínez García, Miguel García-Torres, Federico Divina, Francisco Antonio Gómez Vela, Felipe Cortés-Ledesma
2018	—	`conf`	Color Image Enhancement Using a Multiscale Morphological Approach. CACIC Raul Mendez, Rodolfo Cardozo, José Luis Vázquez Noguera, Horacio Legal Ayala, Julio César Mello Román, Sebastián A. Grillo, Miguel García-Torres
2018	J	`jnl`	Soft Computing for Analysis of Biomedical Data. Comput. Math. Methods Medicine Federico Divina, Miguel García-Torres, Ting Hu, Christian E. Schaerer
2017	—	`conf`	Bioinformatics from a Big Data Perspective: Meeting the Challenge. IWBBIO (2) Francisco Gómez-Vela, Aurelio López, José Antonio Lagares, Domingo S. Baena, Carlos D. Barranco, Miguel García-Torres, Federico Divina
2017	J	`jnl`	Understanding a Version of Multivariate Symmetric Uncertainty to assist in Feature Selection. CoRR Gustavo Sosa-Cabrera, Miguel García-Torres, Santiago Gómez, Christian Schaerer, Federico Divina
2016	Misc	`conf`	Feature Selection Using Approximate Multivariate Markov Blankets. HAIS Rafael Arias-Michel, Miguel García-Torres, Christian Schaerer, Federico Divina
2016	J	`jnl`	High-dimensional feature selection via feature grouping: A Variable Neighborhood Search approach. Inf. Sci. Miguel García-Torres, Francisco Gómez-Vela, Belén Melián-Batista, J. Marcos Moreno-Vega
2013	J	`jnl`	Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data. Inf. Sci. Miguel García-Torres, Rubén Armañanzas, Concha Bielza, Pedro Larrañaga
2012	J	`jnl`	Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches. Expert Syst. Appl. Roberto Ruiz, José C. Riquelme, Jesús S. Aguilar-Ruiz, Miguel García-Torres
2011	B	`conf`	A Two-Phase Heuristic Construction of Feature Sets for Classification. ICTAI Miguel García-Torres, Roberto Ruiz, Belén Melián-Batista, José A. Moreno-Pérez, J. Marcos Moreno-Vega
2011	J	`jnl`	Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms. IEEE ACM Trans. Comput. Biol. Bioinform. Rubén Armañanzas, Yvan Saeys, Iñaki Inza, Miguel García-Torres, Concha Bielza, Yves Van de Peer, Pedro Larrañaga
2010	—	`conf`	Feature Selection Applied to Data from the Sloan Digital Sky Survey. IEA/AIE (1) Miguel Á. Montero, Roberto Ruiz, Miguel García-Torres, Luis M. Sarro
2009	—	`ch.`	Metaheuristics in Data Mining. Encyclopedia of Data Warehousing and Mining Miguel García-Torres
2007	—	`conf`	Ranking Attributes Using Learning of Preferences by Means of SVM. CAEPIA Alejandro Hernández-Arauzo, Miguel García-Torres, Antonio Bahamonde
2006	J	`jnl`	Solving feature subset selection problem by a Parallel Scatter Search. Eur. J. Oper. Res. Félix García-López, Miguel García-Torres, Belén Melián-Batista, José A. Moreno-Pérez, J. Marcos Moreno-Vega
2005	—	`conf`	Data Mining with Scatter Search. EUROCAST Ignacio José García del Amo, Miguel García-Torres, Belén Melián-Batista, José A. Moreno-Pérez, J. Marcos Moreno-Vega, Raquel Rivero Martín
2004	—	`conf`	Solving Feature Subset Selection Problem by a Hybrid Metaheuristic. Hybrid Metaheuristics Miguel García-Torres, Félix C. García López, Belén Melián-Batista, José A. Moreno-Pérez, J. Marcos Moreno-Vega
2003	—	`conf`	Scatter Search for the Feature Selection Problem. CAEPIA Félix C. García López, Miguel García-Torres, José A. Moreno-Pérez, J. Marcos Moreno-Vega