John Edison Arevalo Ovalle

  • National University of Colombia, Bogotá, Colombia

According to our database1, John Edison Arevalo Ovalle authored at least 16 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Gated multimodal networks.
Neural Comput. Appl., 2020

Combining morphometric features and convolutional networks fusion for glaucoma diagnosis.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

Gated Multimodal Units for Information Fusion.
Proceedings of the 5th International Conference on Learning Representations, 2017

A Multi-task Approach to Predict Likability of Books.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Representation learning for mammography mass lesion classification with convolutional neural networks.
Comput. Methods Programs Biomed., 2016

A Two-Step Retrieval Method for Image Captioning.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2016

An unsupervised feature learning framework for basal cell carcinoma image analysis.
Artif. Intell. Medicine, 2015

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Convolutional neural networks for mammography mass lesion classification.
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.
Proceedings of the Working Notes of CLEF 2015, 2015

MindLab at ImageCLEF 2014: Scalable Concept Image Annotation.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014

Unsupervised feature learning for content-based histopathology image retrieval.
Proceedings of the 12th International Workshop on Content-Based Multimedia Indexing, 2014

Distributed Cache Strategies for Machine Learning Classification Tasks over Cluster Computing Resources.
Proceedings of the High Performance Computing - First HPCLATAM, 2014

A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

BIGS: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources.
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.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012