Gaussian Hierarchical Bayesian Clustering Algorithm. - Rafael Eduardo Ruviaro Christ; Edwin Villanueva Talavera; Carlos Dias Maciel (ISDA, 2007)

Modeling associations between genetic markers using Bayesian networks. - Edwin Villanueva; Carlos Dias Maciel (Bioinform., 2010)

On the Crossover Operator for GA-based Optimizers in Sequential Projection Pursuit. - Soledad Espezua; Edwin Villanueva; Carlos Dias Maciel (ICPRAM (1), 2012)

Optimized Algorithm for Learning Bayesian Network Super-structures. - Edwin Villanueva; Carlos Dias Maciel (ICPRAM (1), 2012)

Efficient evolutionary system for learning BN structures (Sistema evolutivo eficiente para aprendizagem estrutural de redes Bayesianas). - Edwin Villanueva Talavera (2012)

Towards an efficient genetic algorithm optimizer for sequential projection pursuit. - Soledad Espezua; Edwin Villanueva; Carlos Dias Maciel (Neurocomputing, 2014)

Efficient methods for learning Bayesian network super-structures. - Edwin Villanueva; Carlos Dias Maciel (Neurocomputing, 2014)

A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets. - Soledad Espezua; Edwin Villanueva; Carlos Dias Maciel; André C. P. L. F. de Carvalho (Neurocomputing, 2015)

Feature selection algorithm recommendation for gene expression data through gradient boosting and neural network metamodels. - Robert Aduviri; Daniel Matos; Edwin Villanueva (BIBM, 2018)

A novel ensemble method for high-dimensional genomic data classification. - Alexandra Espichan; Edwin Villanueva (BIBM, 2018)

Auto-Rotating Perceptrons. - Daniel Saromo; Elizabeth Villota; Edwin Villanueva (CoRR, 2019)

Drug Recommendation System for Geriatric Patients Based on Bayesian Networks and Evolutionary Computation. - Lourdes Montalvo; Edwin Villanueva (IHSI, 2020)

Modeling and Predicting the Lima Stock Exchange General Index with Bayesian Networks and Information from Foreign Markets. - Daniel Chapi; Soledad Espezua; Julio Villavicencio; Oscar Miranda; Edwin Villanueva (SIMBig, 2020)

Comparative Study of Spatial Prediction Models for Estimating PM2.5 Concentration Level in Urban Areas. - Irvin Rosendo Vargas-Campos; Edwin Villanueva (SIMBig, 2020)

A Neural Network Architecture with an Attention-based Layer for Spatial Prediction of Fine Particulate Matter. - Luis E. Colchado; Edwin Villanueva; José Ochoa Luna (DSAA, 2021)

A Novel Method to Estimate Parents and Children for Local Bayesian Network Learning. - Sergio del Río; Edwin Villanueva (IntelliSys (2), 2021)

Investigating Generative Neural-Network Models for Building Pest Insect Detectors in Sticky Trap Images for the Peruvian Horticulture. - Joel Cabrera; Edwin Villanueva (SIMBig, 2021)

Predicting Daily Trends in the Lima Stock Exchange General Index Using Economic Indicators and Financial News Sentiments. - Adrian Ulloa; Soledad Espezua; Julio Villavicencio; Oscar Miranda; Edwin Villanueva (SIMBig, 2021)

Unpaired Faces to Cartoons: Improving XGAN. - Stev H. Ramos; Joel Cabrera; Daniel Ibáñez; Alejandro B. Jiménez-Panta; César Beltrán Castañón; Edwin Villanueva (CVPR Workshops, 2022)

Smart Multi-Sensor Calibration of Low-Cost Particulate Matter Monitors. - Edwin Villanueva; Soledad Espezua; George Castelar; Kyara Diaz; Erick Ingaroca (Sensors, 2023)

Enhancing Pokémon VGC Player Performance: Intelligent Agents Through Deep Reinforcement Learning and Neuroevolution. - Gian Rodriguez; Edwin Villanueva; Johan Baldeón (HCI (47), 2024)

A Review on Text Sentiment Analysis With Machine Learning and Deep Learning Techniques. - Yonatan Mamani-Coaquira; Edwin Villanueva (IEEE Access, 2024)