Julio Ibarra-Fiallo

Affiliations:
  • Universidad San Francisco de Quito, Ecuador


According to our database1, Julio Ibarra-Fiallo authored at least 13 papers between 2013 and 2023.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Quantitative Measures for Medical Fundus and Mammography Images Enhancement.
Int. J. Interact. Multim. Artif. Intell., 2023

2022
A New Approach for Optimal Selection of Features for Classification Based on Rough Sets, Evolution and Neural Networks.
Proceedings of the Intelligent Systems and Applications, 2022

Optic Disk Detection in Fundus Images of Retinopathy of Prematurity.
Proceedings of the Future Technologies Conference, 2022

2020
Enhancing vessel visibility in fundus images to aid the diagnosis of retinopathy of prematurity.
Health Informatics J., 2020

2019
Study of the Number Recognition Algorithms Efficiency After a Reduction of the Characteristic Space Using Typical Testors.
Proceedings of the New Knowledge in Information Systems and Technologies, 2019

Evaluation of Open Source Software for Testing Performance of Web Applications.
Proceedings of the New Knowledge in Information Systems and Technologies, 2019

Segmenting retinal vascular net from retinopathy of prematurity images using convolutional neural network.
Proceedings of the Second International Conference on Data Science, 2019

Real-time face identification from video surveillance cameras.
Proceedings of the Second International Conference on Data Science, 2019

2017
A new approach to two-dimensional filter for segmenting retinal vascular network from fundus images of premature born.
Proceedings of the 2017 IEEE International Symposium on Signal Processing and Information Technology, 2017

2016
Generating synthetic test matrices as a benchmark for the computational behavior of typical testor-finding algorithms.
Pattern Recognit. Lett., 2016

2015
A Mixed Learning Strategy for Finding Typical Testors in Large Datasets.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014
YYC: A Fast Performance Incremental Algorithm for Finding Typical Testors.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2013
A Theoretical and Practical Framework for Assessing the Computational Behavior of Typical Testor-Finding Algorithms.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013


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