Edwin Villanueva

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 13

Top Topics

Selection Algorithm

Gene Expression

Gradient Boosting

Top Venues

Publications

Gian Rodriguez, Edwin Villanueva, Johan Baldeón
Enhancing Pokémon VGC Player Performance: Intelligent Agents Through Deep Reinforcement Learning and Neuroevolution. HCI (47) (2024)
Edwin Villanueva, Soledad Espezua, George Castelar, Kyara Diaz, Erick Ingaroca
Smart Multi-Sensor Calibration of Low-Cost Particulate Matter Monitors. Sensors 23 (7) (2023)
Stev H. Ramos, Joel Cabrera, Daniel Ibáñez, Alejandro B. Jiménez-Panta, César Beltrán Castañón, Edwin Villanueva
Unpaired Faces to Cartoons: Improving XGAN. CVPR Workshops (2022)
Adrian Ulloa, Soledad Espezua, Julio Villavicencio, Oscar Miranda, Edwin Villanueva
Predicting Daily Trends in the Lima Stock Exchange General Index Using Economic Indicators and Financial News Sentiments. SIMBig (2021)
Luis E. Colchado, Edwin Villanueva, José Ochoa Luna
A Neural Network Architecture with an Attention-based Layer for Spatial Prediction of Fine Particulate Matter. DSAA (2021)
Sergio del Río, Edwin Villanueva
A Novel Method to Estimate Parents and Children for Local Bayesian Network Learning. IntelliSys (2) (2021)
Joel Cabrera, Edwin Villanueva
Investigating Generative Neural-Network Models for Building Pest Insect Detectors in Sticky Trap Images for the Peruvian Horticulture. SIMBig (2021)
Lourdes Montalvo, Edwin Villanueva
Drug Recommendation System for Geriatric Patients Based on Bayesian Networks and Evolutionary Computation. IHSI (2020)
Daniel Chapi, Soledad Espezua, Julio Villavicencio, Oscar Miranda, Edwin Villanueva
Modeling and Predicting the Lima Stock Exchange General Index with Bayesian Networks and Information from Foreign Markets. SIMBig (2020)
Irvin Rosendo Vargas-Campos, Edwin Villanueva
Concentration Level in Urban Areas. SIMBig (2020)
Daniel Saromo, Elizabeth Villota, Edwin Villanueva
Auto-Rotating Perceptrons. CoRR (2019)
Robert Aduviri, Daniel Matos, Edwin Villanueva
Feature selection algorithm recommendation for gene expression data through gradient boosting and neural network metamodels. BIBM (2018)
Alexandra Espichan, Edwin Villanueva
A novel ensemble method for high-dimensional genomic data classification. BIBM (2018)
Soledad Espezua, Edwin Villanueva, Carlos Dias Maciel, André C. P. L. F. de Carvalho
A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets. Neurocomputing 149 (2015)
Edwin Villanueva, Carlos Dias Maciel
Efficient methods for learning Bayesian network super-structures. Neurocomputing 123 (2014)
Soledad Espezua, Edwin Villanueva, Carlos Dias Maciel
Towards an efficient genetic algorithm optimizer for sequential projection pursuit. Neurocomputing 123 (2014)
Soledad Espezua, Edwin Villanueva, Carlos Dias Maciel
On the Crossover Operator for GA-based Optimizers in Sequential Projection Pursuit. ICPRAM (1) (2012)
Edwin Villanueva, Carlos Dias Maciel
Optimized Algorithm for Learning Bayesian Network Super-structures. ICPRAM (1) (2012)
Edwin Villanueva, Carlos Dias Maciel
Modeling associations between genetic markers using Bayesian networks. Bioinform. 26 (18) (2010)