Computational Methods for the Analysis of Genomic Data and Biological Processes by Francisco Gómez-Vela, Federico Divina, Miguel García-Torres

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Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast by Federico Divina, Francisco Gómez-Vela, Miguel García-Torres

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Biclustering of Smart Building Electric Energy Consumption Data by Federico Divina, Francisco A. Goméz Vela, Miguel García Torres

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Stacking Ensemble Learning for Short-Term Electricity Consumption Forecasting by Federico Divina, Aude Gilson, Francisco Goméz-Vela, Miguel García Torres, José F. Torres

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A Comparative Study of Time Series Forecasting Methods for Short Term Electric Energy Consumption Prediction in Smart Buildings by Federico Divina, Miguel García Torres, Francisco A. Goméz Vela, José Luis Vázquez Noguera

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Hybridizing Deep Learning and Neuroevolution: Application to the Spanish Short-Term Electric Energy Consumption Forecasting by Federico Divina, José Francisco Torres Maldonado, Miguel García-Torres, Francisco Martínez-Álvarez, Alicia Troncoso

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Ensemble and Greedy Approach for the Reconstruction of Large Gene Co-Expression Networks by Francisco Gómez-Vela, Fernando M. Delgado-Chaves, Domingo S. Rodríguez-Baena, Miguel García-Torres, Federico Divina

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Computational Analysis of the Global Effects of <i>Ly6E</i> in the Immune Response to Coronavirus Infection Using Gene Networks by Fernando M. Delgado-Chaves, Francisco Gómez-Vela, Federico Divina, Miguel García-Torres, Domingo S. Rodriguez-Baena

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A Comparative Study of Supervised Machine Learning Algorithms for the Prediction of Long-Range Chromatin Interactions by Thomas Vanhaeren, Federico Divina, Miguel García-Torres, Francisco Gómez-Vela, Wim Vanhoof, Pedro Manuel Martínez-García

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Genome-wide prediction of topoisomerase IIβ binding by architectural factors and chromatin accessibility. by Pedro Manuel Martínez-García, Miguel García-Torres, Federico Divina, José Terrón-Bautista, Irene Delgado-Sainz, Francisco Gómez-Vela, Felipe Cortés-Ledesma

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Data of transcriptional effects of the merbarone-mediated inhibition of TOP2 by Fernando M. Delgado-Chaves, Pedro Manuel Martínez-García, Andrés Herrero-Ruiz, Francisco Gómez-Vela, Federico Divina, Silvia Jimeno-González, Felipe Cortés-Ledesma

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Adjacent Inputs With Different Labels and Hardness in Supervised Learning by Sebastian A. Grillo, Julio Cesar Mello Roman, Jorge Daniel Mello-Roman, Jose Luis Vazquez Noguera, Miguel Garcia-Torres, Federico Divina, Pedro Esteban Gardel Sotomayor

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A Trust-Based Methodology to Evaluate Deep Learning Models for Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images by Rodrigo Parra, Verena Ojeda, Jose Luis Vázquez Noguera, Miguel García-Torres, Julio César Mello-Román, Cynthia Villalba, Jacques Facon, Federico Divina, Olivia Cardozo, Verónica Elisa Castillo, Ingrid Castro Matto

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Distribution level electric current consumption and meteorological data set of the east region of Paraguay by Gustavo Velázquez, Félix Morales, Miguel García-Torres, Francisco Gómez-Vela, Federico Divina, José Luis Vázquez Noguera, Federico Daumas-Ladouce, Carlos Sauer Ayala, Diego P. Pinto-Roa, Pedro E. Gardel-Sotomayor, Julio César Mello Román

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Dataset of fundus images for the diagnosis of ocular toxoplasmosis by Olivia Cardozo, Verena Ojeda, Rodrigo Parra, Julio César Mello-Román, José Luis Vázquez Noguera, Miguel García-Torres, Federico Divina, Sebastian A. Grillo, Cynthia Villalba, Jacques Facon, Veronica Elisa Castillo Benítez, Ingrid Castro Matto, Diego Aquino-Brítez

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Analysis of Electric Energy Consumption Profiles Using a Machine Learning Approach: A Paraguayan Case Study by Félix Morales, Miguel García-Torres, Gustavo Velázquez, Federico Daumas-Ladouce, Pedro E. Gardel-Sotomayor, Francisco Gómez-Vela, Federico Divina, José Luis Vázquez Noguera, Carlos Sauer Ayala, Diego P. Pinto-Roa, Julio César Mello-Román, David Becerra-Alonso

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