Edwin Villanueva
Orcid: 0000-0002-6540-1230
According to our database1,
Edwin Villanueva
authored at least 21 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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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
Sensors, April, 2023
2022
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
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
2018
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
Neurocomputing, 2014
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
Bioinform., 2010
2007
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007