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Óscar Gabriel Reyes Pupo
Óscar Gabriel Reyes Pupo
Data Scientist Leader in Healios AG
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
2022015
Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer
JM Jiménez-Vacas, V Herrero-Aguayo, AJ Montero-Hidalgo, ...
EBioMedicine 51, 2020
802020
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
742019
Effective active learning strategy for multi-label learning
O Reyes, C Morell, S Ventura
Neurocomputing 273, 494-508, 2018
702018
Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study
E Perez, O Reyes, S Ventura
Medical image analysis 67, 101858, 2021
622021
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
622019
Splicing machinery dysregulation drives glioblastoma development/aggressiveness: oncogenic role of SRSF3
AC Fuentes-Fayos, MC Vázquez-Borrego, JM Jimenez-Vacas, L Bejarano, ...
Brain 143 (11), 3273-3293, 2020
602020
Statistical comparisons of active learning strategies over multiple datasets
O Reyes, AH Altalhi, S Ventura
Knowledge-Based Systems 145, 274-288, 2018
582018
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
432018
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
432014
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
382018
ReliefF-ML: an extension of ReliefF algorithm to multi-label learning
OGR Pupo, C Morell, SV Soto
Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2013
362013
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
332016
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
322016
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
272018
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
242019
Reliability and Acceptance of dreaMS, a Software Application for People with Multiple Sclerosis – a Feasibility Study
T Woelfle, S Pless, Ó Reyes, A Wiencierz, A Feinstein, P Calabrese, ...
Journal of Neurology, 2022
142022
Performing multi-target regression via gene expression programming-based ensemble models
J Moyano, O Reyes, S Fardoun, Habib M., Ventura
Neurocomputing 432 (7), 275-287, 2021
132021
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
112018
A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis
O Reyes, E Perez, RM Luque, J Castano, S Ventura
Artificial Intelligence in Medicine 108, 101950, 2020
102020
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