Edwin Villanueva

21 papers B 1Journal 8Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Unsupervised Model Based on Knowledge Graph and Concepts for Sentiment Analysis.
IEEE Open J. Comput. Soc.
Yonatan Mamani-Coaquira, Edwin Villanueva
2024 J jnl
A Review on Text Sentiment Analysis With Machine Learning and Deep Learning Techniques.
IEEE Access
Yonatan Mamani-Coaquira, Edwin Villanueva
2024 — conf
Enhancing Pokémon VGC Player Performance: Intelligent Agents Through Deep Reinforcement Learning and Neuroevolution.
HCI (47)
Gian Rodriguez, Edwin Villanueva, Johan Baldeón
2023 J jnl
Smart Multi-Sensor Calibration of Low-Cost Particulate Matter Monitors.
Sensors
Edwin Villanueva, Soledad Espezua, George Castelar, Kyara Diaz, Erick Ingaroca
2022 — conf
Unpaired Faces to Cartoons: Improving XGAN.
CVPR Workshops
Stev H. Ramos, Joel Cabrera, Daniel Ibáñez, Alejandro B. Jiménez-Panta, César Beltrán Castañón, Edwin Villanueva
2021 B conf
A Neural Network Architecture with an Attention-based Layer for Spatial Prediction of Fine Particulate Matter.
DSAA
Luis E. Colchado, Edwin Villanueva, José Ochoa Luna
2021 — conf
A Novel Method to Estimate Parents and Children for Local Bayesian Network Learning.
IntelliSys (2)
Sergio del Río, Edwin Villanueva
2021 — conf
Investigating Generative Neural-Network Models for Building Pest Insect Detectors in Sticky Trap Images for the Peruvian Horticulture.
SIMBig
Joel Cabrera, Edwin Villanueva
2021 — conf
Predicting Daily Trends in the Lima Stock Exchange General Index Using Economic Indicators and Financial News Sentiments.
SIMBig
Adrian Ulloa, Soledad Espezua, Julio Villavicencio, Oscar Miranda, Edwin Villanueva
2020 — conf
Comparative Study of Spatial Prediction Models for Estimating PM
SIMBig
Irvin Rosendo Vargas-Campos, Edwin Villanueva
2020 — conf
Drug Recommendation System for Geriatric Patients Based on Bayesian Networks and Evolutionary Computation.
IHSI
Lourdes Montalvo, Edwin Villanueva
2020 — conf
Modeling and Predicting the Lima Stock Exchange General Index with Bayesian Networks and Information from Foreign Markets.
SIMBig
Daniel Chapi, Soledad Espezua, Julio Villavicencio, Oscar Miranda, Edwin Villanueva
2019 J jnl
Auto-Rotating Perceptrons.
CoRR
Daniel Saromo, Elizabeth Villota, Edwin Villanueva
2018 — conf
A novel ensemble method for high-dimensional genomic data classification.
BIBM
Alexandra Espichan, Edwin Villanueva
2018 — conf
Feature selection algorithm recommendation for gene expression data through gradient boosting and neural network metamodels.
BIBM
Robert Aduviri, Daniel Matos, Edwin Villanueva
2015 J jnl
A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets.
Neurocomputing
Soledad Espezua, Edwin Villanueva, Carlos Dias Maciel, André C. P. L. F. de Carvalho
2014 J jnl
Efficient methods for learning Bayesian network super-structures.
Neurocomputing
Edwin Villanueva, Carlos Dias Maciel
2014 J jnl
Towards an efficient genetic algorithm optimizer for sequential projection pursuit.
Neurocomputing
Soledad Espezua, Edwin Villanueva, Carlos Dias Maciel
2012 — conf
On the Crossover Operator for GA-based Optimizers in Sequential Projection Pursuit.
ICPRAM (1)
Soledad Espezua, Edwin Villanueva, Carlos Dias Maciel
2012 — conf
Optimized Algorithm for Learning Bayesian Network Super-structures.
ICPRAM (1)
Edwin Villanueva, Carlos Dias Maciel
2010 J jnl
Modeling associations between genetic markers using Bayesian networks.
Bioinform.
Edwin Villanueva, Carlos Dias Maciel