Edwin Villanueva

Orcid: 0000-0002-6540-1230

According to our database1, Edwin Villanueva authored at least 21 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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Bibliography

2024
Enhancing Pokémon VGC Player Performance: Intelligent Agents Through Deep Reinforcement Learning and Neuroevolution.
Proceedings of the HCI in Games, 2024

2023
Smart Multi-Sensor Calibration of Low-Cost Particulate Matter Monitors.
Sensors, April, 2023

2022
Unpaired Faces to Cartoons: Improving XGAN.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Predicting Daily Trends in the Lima Stock Exchange General Index Using Economic Indicators and Financial News Sentiments.
Proceedings of the Information Management and Big Data, 2021

Investigating Generative Neural-Network Models for Building Pest Insect Detectors in Sticky Trap Images for the Peruvian Horticulture.
Proceedings of the Information Management and Big Data, 2021

A Novel Method to Estimate Parents and Children for Local Bayesian Network Learning.
Proceedings of the Intelligent Systems and Applications, 2021

A Neural Network Architecture with an Attention-based Layer for Spatial Prediction of Fine Particulate Matter.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020
Comparative Study of Spatial Prediction Models for Estimating PM<sub>2.5</sub> Concentration Level in Urban Areas.
Proceedings of the Information Management and Big Data, 2020

Modeling and Predicting the Lima Stock Exchange General Index with Bayesian Networks and Information from Foreign Markets.
Proceedings of the Information Management and Big Data, 2020

Drug Recommendation System for Geriatric Patients Based on Bayesian Networks and Evolutionary Computation.
Proceedings of the Intelligent Human Systems Integration 2020, 2020

2019
Auto-Rotating Perceptrons.
CoRR, 2019

2018
A novel ensemble method for high-dimensional genomic data classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Feature selection algorithm recommendation for gene expression data through gradient boosting and neural network metamodels.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2015
A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets.
Neurocomputing, 2015

2014
Efficient methods for learning Bayesian network super-structures.
Neurocomputing, 2014

Towards an efficient genetic algorithm optimizer for sequential projection pursuit.
Neurocomputing, 2014

2012
Efficient evolutionary system for learning BN structures (Sistema evolutivo eficiente para aprendizagem estrutural de redes Bayesianas).
PhD thesis, 2012

Optimized Algorithm for Learning Bayesian Network Super-structures.
Proceedings of the ICPRAM 2012, 2012

On the Crossover Operator for GA-based Optimizers in Sequential Projection Pursuit.
Proceedings of the ICPRAM 2012, 2012

2010
Modeling associations between genetic markers using Bayesian networks.
Bioinform., 2010

2007
Gaussian Hierarchical Bayesian Clustering Algorithm.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007


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