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Edwin Villanueva Talavera
Title
Cited by
Cited by
Year
A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets
S Espezua, E Villanueva, CD Maciel, A Carvalho
Neurocomputing 149, 767-776, 2015
442015
Efficient methods for learning Bayesian network super-structures
E Villanueva, CD Maciel
Neurocomputing 123, 3-12, 2014
342014
Towards an efficient genetic algorithm optimizer for sequential projection pursuit
S Espezua, E Villanueva, CD Maciel
Neurocomputing 123, 40-48, 2014
302014
Feature selection algorithm recommendation for gene expression data through gradient boosting and neural network metamodels
R Aduviri, D Matos, E Villanueva
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
102019
Modeling associations between genetic markers using Bayesian networks
E Villanueva, CD Maciel
Bioinformatics 26 (18), i632-i637, 2010
92010
Optimized Algorithm for Learning Bayesian Network Super-Structures
E Villanueva, CD Maciel
International Conference on Pattern Recognition Applications and Methods …, 2012
72012
A novel ensemble method for high-dimensional genomic data classification
A Espichan, E Villanueva
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
62019
A neural network architecture with an attention-based layer for spatial prediction of fine particulate matter
LE Colchado, E Villanueva, J Ochoa-Luna
2021 IEEE 8th International Conference on Data Science and Advanced …, 2021
52021
An air quality monitoring and forecasting system for Lima city with low-cost sensors and artificial intelligence models
L Montalvo, D Fosca, D Paredes, M Abarca, C Saito, E Villanueva
Frontiers in Sustainable Cities, 2022
42022
Investigating generative neural-network models for building pest insect detectors in sticky trap images for the Peruvian horticulture
J Cabrera, E Villanueva
Annual International Conference on Information Management and Big Data, 356-369, 2021
42021
Gaussian Hierarchical Bayesian Clustering Algorithm
RER Christ, EV Talavera, CD Maciel
Seventh International Conference on Intelligent Systems Design and …, 2007
32007
Smart Multi-Sensor Calibration of Low-Cost Particulate Matter Monitors
E Villanueva, S Espezua, G Castelar, K Diaz, E Ingaroca
Sensors 23 (7), 3776, 2023
22023
Comparative Study of Spatial Prediction Models for Estimating PM 2.5 Concentration Level in Urban Areas
VE Vargas-Campos I.R.
Information Management and Big Data 1410, 169-180, 2021
22021
On the Crossover Operator for GA-based Optimizers In Sequential Projection Pursuit
S Espezua, E Villanueva, CD Maciel
International Conference on Pattern Recognition Applications and Methods …, 2012
22012
Predicting daily trends in the lima stock exchange general index using economic indicators and financial news sentiments
A Ulloa, S Espezua, J Villavicencio, O Miranda, E Villanueva
Annual International Conference on Information Management and Big Data, 34-49, 2021
12021
Investigating generative neural-network models for building pest insect detectors in sticky trap images for the Peruvian horticulture
JJC Rios, E Villanueva
NeurIPS 2021 Workshop LatinX in AI, 2021
12021
Modeling and Predicting the Lima Stock Exchange General Index with Bayesian Networks and Information from Foreign Markets
VE Chapi D., Espezua S., Villavicencio J., Miranda O.
Information Management and Big Data 1410, 154-168, 2021
1*2021
Drug recommendation system for geriatric patients based on bayesian networks and evolutionary computation
L Montalvo, E Villanueva
Intelligent Human Systems Integration 2020: Proceedings of the 3rd …, 2020
12020
Auto-Rotating Perceptrons
D Saromo, E Villota, E Villanueva
arXiv preprint arXiv:1910.02483, 2019
12019
Adaptive Markets Hypothesis: A Machine Learning Approach. 1
O Miranda, E Villanueva
2023
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