Oscar Gabriel Reyes Pupo
Oscar Gabriel Reyes Pupo
Senior Data Science at Healios Technologies
Dirección de correo verificada de healios.tech
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Año
Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context
O Reyes, C Morell, S Ventura
Neurocomputing 161, 168-182, 2015
732015
Evolutionary feature weighting to improve the performance of multi-label lazy algorithms
O Reyes, C Morell, S Ventura
Integrated Computer-Aided Engineering 21 (4), 339-354, 2014
362014
ReliefF-ML: an extension of reliefF algorithm to multi-label learning
OGR Pupo, C Morell, SV Soto
Iberoamerican Congress on Pattern Recognition, 528-535, 2013
282013
JCLAL: A Java Framework for Active Learning
O Reyes, E Pérez, M del Carmen Rodrıguez-Hernández, HM Fardoun, ...
Journal of Machine Learning Research 17 (95), 1-5, 2016
242016
Effective lazy learning algorithm based on a data gravitation model for multi-label learning
O Reyes, C Morell, S Ventura
Information Sciences 340, 159-174, 2016
192016
Effective active learning strategy for multi-label learning
O Reyes, C Morell, S Ventura
Neurocomputing 273, 494-508, 2018
172018
Statistical comparisons of active learning strategies over multiple datasets
O Reyes, AH Altalhi, S Ventura
Knowledge-Based Systems 145, 274-288, 2018
162018
Evolutionary Strategy to perform Batch-Mode Active Learning on Multi-Label Data
O Reyes, S Ventura
ACM Transactions on Intelligent Systems and Technology 9 (4), 46:1--46:26, 2018
162018
A locally weighted learning method based on a data gravitation model for multi-target regression
O Reyes, A Cano, HM Fardoun, S Ventura
International Journal of Computational Intelligence Systems 11, 282-295, 2018
102018
Dysregulation of the splicing machinery is associated to the development of non-alcoholic fatty liver disease
M del Río-Moreno, E Alors-Pérez, S González-Rubio, G Ferrín, O Reyes, ...
The Journal of Clinical Endocrinology & Metabolism, jc.2019-00021, https …, 2019
72019
Changes in splicing machinery components influence, precede, and early predict the development of type 2 diabetes: from the CORDIOPREV Study
MD Gahete, M del Rio-Moreno, A Camargo, JF Alcala-Diaz, E Alors-Perez, ...
EBioMedicine 37, 356-365, 2018
62018
Learning similarity metric to improve the performance of lazy multi-label ranking algorithms
O Reyes, C Morell, S Ventura
2012 12th International Conference on Intelligent Systems Design and …, 2012
52012
Performing Multi-Target Regression via a Parameter Sharing-based Deep Network
O Reyes, S Ventura
International Journal of Neural Systems 29 (9 (1950014)), 1-22, 2019
32019
An ensemble-based method for the selection of instances in the multi-target regression problem
O Reyes, H Fardoun, S Ventura
Integrated Computer-Aided Engineering 25 (4), 305-320, 2018
32018
Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer
JM Jiménez-Vacas, V Herrero-Aguayo, AJ Montero-Hidalgo, ...
EBioMedicine, 102547, 2020
22020
Signal Speech Reconstruction and Noise removal using Convolutional Denoising Audioencoders with Neural Deep Learning
A Houda, O Chakkor, O Reyes, S Ventura
Analog Integrated Circuits and Signal Processing. https://doi.org/10.1007 …, 2019
22019
Modelos para el diseño de bases de datos difusas
OGR Pupo, YCF Reyna, MA Rodríguez, AU Jiménez
Revista Cubana de Ciencias Informáticas 6 (4), 2012
2*2012
Módulo para el control de la baja estudiantil en el SIGENU
RL Machado, OGR Pupo
Ciencias Holguín 17 (2), 2011
22011
Mantenimiento del Sistema para la Tramitación de Interrupciones en los Sistemas de Informática y Comunicaciones (TI)
OGR Pupo
Ciencias Holguín 16 (1), 2010
22010
Nuevos modelos de aprendizaje híbrido para clasificación y ordenamiento multi-etiqueta
O Reyes
Universidad de Córdoba, 2016
12016
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Artículos 1–20