Óscar Gabriel Reyes Pupo
Óscar Gabriel Reyes Pupo
Independent Scientist
Verified email at healios.tech
Title
Cited by
Cited by
Year
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
1282015
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
412014
Effective active learning strategy for multi-label learning
O Reyes, C Morell, S Ventura
Neurocomputing 273, 494-508, 2018
342018
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
312013
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
302018
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
292016
Statistical comparisons of active learning strategies over multiple datasets
O Reyes, AH Altalhi, S Ventura
Knowledge-Based Systems 145, 274-288, 2018
272018
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
262019
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
242016
Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer
JM Jiménez-Vacas, V Herrero-Aguayo, AJ Montero-Hidalgo, ...
EBioMedicine 51, 102547, 2020
172020
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
172019
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
152018
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
142018
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
62019
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
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
62012
Sistema AnGeL para el diagnóstico de generadores en operación
VHO De la Torre, J Ramírez, A Pascacio, O Reyes, J Carrillo, M Iturbe, ...
Boletín IIE, 62-68, 2005
52005
Módulo para el control de la baja estudiantil en el SIGENU
RL Machado, OGR Pupo
Ciencias Holguín 17 (2), 2011
42011
Splicing machinery dysregulation drives glioblastoma development/aggressiveness: oncogenic role of SRSF3
AC Fuentes-Fayos, MC Vázquez-Borrego, JM Jiménez-Vacas, L Bejarano, ...
Brain 143 (11), 3273-3293, 2020
22020
A supervised methodology for analyzing dysregulation in splicing machinery: an application in cancer diagnosis
O Reyes, RM Luque, J Castaño, S Ventura
32nd IEEE CBMS International Symposium on Computer-Based Medical Systems, 2019
22019
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Articles 1–20