Oscar Gabriel Reyes Pupo

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 16

Top Topics

Active Learning

Active Learning Strategies

Gene Expression Programming

Top Venues

Integr. Comput. Aided Eng.

ACM Trans. Intell. Syst. Technol.

Artif. Intell. Medicine

Publications

Oscar Gabriel Reyes Pupo, Eduardo Pérez
Performing Cancer Diagnosis via an Isoform Expression Ranking-based LSTM Model. ACM Trans. Intell. Syst. Technol. 14 (6) (2023)
Eduardo Pérez, Oscar Gabriel Reyes Pupo
Performing Melanoma Diagnosis by an Effective Multi-view Convolutional Network Architecture. Int. J. Comput. Vis. 131 (11) (2023)
Eduardo Pérez, Oscar Gabriel Reyes Pupo, Sebastián Ventura
Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study. Medical Image Anal. 67 (2021)
Jose M. Moyano, Oscar Gabriel Reyes Pupo, Habib M. Fardoun, Sebastián Ventura
Performing multi-target regression via gene expression programming-based ensemble models. Neurocomputing 432 (2021)
Oscar Gabriel Reyes Pupo, Eduardo Pérez, Raúl M. Luque, Justo Castaño, Sebastián Ventura
A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis. Artif. Intell. Medicine 108 (2020)
Oscar Gabriel Reyes Pupo, Raúl M. Luque, Justo Castaño, Sebastián Ventura
A Supervised Methodology for Analyzing Dysregulation in Splicing Machinery: An Application in Cancer Diagnosis. CBMS (2019)
Oscar Gabriel Reyes Pupo, Sebastián Ventura
Performing Multi-Target Regression via a Parameter Sharing-Based Deep Network. Int. J. Neural Syst. 29 (9) (2019)
Oscar Gabriel Reyes Pupo, Habib M. Fardoun, Sebastián Ventura
An ensemble-based method for the selection of instances in the multi-target regression problem. Integr. Comput. Aided Eng. 25 (4) (2018)
Oscar Gabriel Reyes Pupo, Abdulrahman H. Altalhi, Sebastián Ventura
Statistical comparisons of active learning strategies over multiple datasets. Knowl. Based Syst. 145 (2018)
Oscar Gabriel Reyes Pupo, Sebastián Ventura
Evolutionary Strategy to Perform Batch-Mode Active Learning on Multi-Label Data. ACM Trans. Intell. Syst. Technol. 9 (4) (2018)
Oscar Gabriel Reyes Pupo, Jose María Moyano Murillo, José María Luna, Sebastián Ventura
A gene expression programming method for multi-target regression. LOPAL (2018)
Oscar Gabriel Reyes Pupo, Alberto Cano, Habib M. Fardoun, Sebastián Ventura
A locally weighted learning method based on a data gravitation model for multi-target regression. Int. J. Comput. Intell. Syst. 11 (1) (2018)
Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura
Effective active learning strategy for multi-label learning. Neurocomputing 273 (2018)
Oscar Gabriel Reyes Pupo, Eduardo Pérez, María del Carmen Rodríguez-Hernández, Habib M. Fardoun, Sebastián Ventura
JCLAL: A Java Framework for Active Learning. J. Mach. Learn. Res. 17 (2016)
Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura
Effective lazy learning algorithm based on a data gravitation model for multi-label learning. Inf. Sci. (2016)
Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura
Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context. Neurocomputing 161 (2015)
Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura
Evolutionary feature weighting to improve the performance of multi-label lazy algorithms. Integr. Comput. Aided Eng. 21 (4) (2014)
Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura Soto
ReliefF-ML: An Extension of ReliefF Algorithm to Multi-label Learning. CIARP (2) (2013)
Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura
Learning similarity metric to improve the performance of lazy multi-label ranking algorithms. ISDA (2012)