John Edison Arevalo Ovalle

According to our database, John Edison Arevalo Ovalle authored at least 16 papers between 2012 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Gated multimodal networks.

John Edison Arevalo Ovalle, Thamar Solorio, Manuel Montes-y-Gómez, Fabio A. González

Neural Comput. Appl., 2020

2017

Combining morphometric features and convolutional networks fusion for glaucoma diagnosis.

Oscar J. Perdomo, John Edison Arevalo Ovalle, Fabio A. González

Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

Gated Multimodal Units for Information Fusion.

John Edison Arevalo Ovalle, Thamar Solorio, Manuel Montes-y-Gómez, Fabio A. González

Proceedings of the 5th International Conference on Learning Representations, 2017

A Multi-task Approach to Predict Likability of Books.

Suraj Maharjan, John Edison Arevalo Ovalle, Manuel Montes-y-Gómez, Fabio A. González, Thamar Solorio

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Representation learning for mammography mass lesion classification with convolutional neural networks.

John Edison Arevalo Ovalle, Fabio A. González, Raúl Ramos-Pollán, José Luís Oliveira, Miguel Ángel Guevara-López

Comput. Methods Programs Biomed., 2016

A Two-Step Retrieval Method for Image Captioning.

Luis Pellegrin, Jorge A. Vanegas, John Edison Arevalo Ovalle, Viviana Beltrán, Hugo Jair Escalante, Manuel Montes-y-Gómez, Fabio A. González

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2016

2015

An unsupervised feature learning framework for basal cell carcinoma image analysis.

John Edison Arevalo Ovalle, Angel Cruz-Roa, Viviana Arias, Eduardo Romero, Fabio A. González

Artif. Intell. Medicine, 2015

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma.

Sebastian Otálora, Angel Cruz-Roa, John Edison Arevalo Ovalle, Manfredo Atzori, Anant Madabhushi, Alexander R. Judkins, Fabio A. González, Henning Müller, Adrien Depeursinge

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Convolutional neural networks for mammography mass lesion classification.

John Edison Arevalo Ovalle, Fabio A. González, Raúl Ramos-Pollán, José Luís Oliveira, Miguel Ángel Guevara-López

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

INAOE-UNAL at ImageCLEF 2015: Scalable Concept Image Annotation.

Luis Pellegrin, Jorge A. Vanegas, John Edison Arevalo Ovalle, Viviana Beltrán, Hugo Jair Escalante, Manuel Montes-y-Gómez, Fabio A. González

Proceedings of the Working Notes of CLEF 2015, 2015

2014

MindLab at ImageCLEF 2014: Scalable Concept Image Annotation.

Jorge A. Vanegas, John Edison Arevalo Ovalle, Juan Sebastian Otálora Montenegro, Fabian Páez, Santiago A. Pérez-Rubiano, Fabio A. González

Proceedings of the Working Notes for CLEF 2014 Conference, 2014

Unsupervised feature learning for content-based histopathology image retrieval.

Jorge A. Vanegas, John Edison Arevalo Ovalle, Fabio A. González

Proceedings of the 12th International Workshop on Content-Based Multimedia Indexing, 2014

Distributed Cache Strategies for Machine Learning Classification Tasks over Cluster Computing Resources.

John Edison Arevalo Ovalle, Raúl Ramos-Pollán, Fabio A. González

Proceedings of the High Performance Computing - First HPCLATAM, 2014

2013

A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection.

Angel Alfonso Cruz-Roa, John Edison Arevalo Ovalle, Anant Madabhushi, Fabio Augusto González Osorio

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012

BIGS: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources.

Raúl Ramos-Pollán, Fabio A. González, Juan C. Caicedo, Angel Cruz-Roa, Jorge E. Camargo, Jorge A. Vanegas, Santiago A. Perez, José David Bermeo, Juan Sebastian Otálora Montenegro, Paola K. Rozo, John Edison Arevalo Ovalle

Proceedings of the 8th IEEE International Conference on E-Science, 2012

Bag of Features for Automatic Classification of Alzheimer's Disease in Magnetic Resonance Images.

Andrea Rueda, John Edison Arevalo Ovalle, Angel Cruz-Roa, Eduardo Romero, Fabio A. González

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012