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 | 44 | 2015 |
Efficient methods for learning Bayesian network super-structures E Villanueva, CD Maciel Neurocomputing 123, 3-12, 2014 | 34 | 2014 |
Towards an efficient genetic algorithm optimizer for sequential projection pursuit S Espezua, E Villanueva, CD Maciel Neurocomputing 123, 40-48, 2014 | 30 | 2014 |
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 | 10 | 2019 |
Modeling associations between genetic markers using Bayesian networks E Villanueva, CD Maciel Bioinformatics 26 (18), i632-i637, 2010 | 9 | 2010 |
Optimized Algorithm for Learning Bayesian Network Super-Structures E Villanueva, CD Maciel International Conference on Pattern Recognition Applications and Methods …, 2012 | 7 | 2012 |
A novel ensemble method for high-dimensional genomic data classification A Espichan, E Villanueva 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 6 | 2019 |
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 | 5 | 2021 |
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 | 4 | 2022 |
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 | 4 | 2021 |
Gaussian Hierarchical Bayesian Clustering Algorithm RER Christ, EV Talavera, CD Maciel Seventh International Conference on Intelligent Systems Design and …, 2007 | 3 | 2007 |
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 | 2 | 2023 |
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 | 2 | 2021 |
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 | 2 | 2012 |
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 | 1 | 2021 |
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 | 1 | 2021 |
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 | 1 | 2020 |
Auto-Rotating Perceptrons D Saromo, E Villota, E Villanueva arXiv preprint arXiv:1910.02483, 2019 | 1 | 2019 |
Adaptive Markets Hypothesis: A Machine Learning Approach. 1 O Miranda, E Villanueva | | 2023 |