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ORCIDJulio Ibarra-Fiallo
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- affiliation: Universidad San Francisco de Quito, Ecuador
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2020 – today
- 2024
[c12]Julio Ibarra-Fiallo, Juan A. Lara:
Contextual Deep Learning Approaches for Time Series Reconstruction. COINS 2024: 1-4- 2023
- [j3]Monserrate Intriago-Pazmiño
, Julio Ibarra-Fiallo, Adán Guzmán-Castillo, Raúl Alonso-Calvo, José Crespo:
Quantitative Measures for Medical Fundus and Mammography Images Enhancement. Int. J. Interact. Multim. Artif. Intell. 8(4): 117 (2023) - [c11]Mateo Martínez-Mejía, Julio Ibarra-Fiallo:
Improved Technique for Dimensionality Reduction: Star and Quasar Classification with Typical Testors. IntelliSys (2) 2023: 275-290 - 2022
- [c10]Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo, María Pérez-Hernández, Adán Guzmán-Castillo, Eddy Torres-Constante:
Optic Disk Detection in Fundus Images of Retinopathy of Prematurity. FTC (3) 2022: 370-380 - [c9]Eddy Torres-Constante, Julio Ibarra-Fiallo, Monserrate Intriago-Pazmiño:
A New Approach for Optimal Selection of Features for Classification Based on Rough Sets, Evolution and Neural Networks. IntelliSys (1) 2022: 211-225 - 2020
- [j2]Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo, José Crespo, Raúl Alonso-Calvo:
Enhancing vessel visibility in fundus images to aid the diagnosis of retinopathy of prematurity. Health Informatics J. 26(4): 2722-2736 (2020)
2010 – 2019
- 2019
- [c8]Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo, Raúl Alonso-Calvo, José Crespo:
Segmenting retinal vascular net from retinopathy of prematurity images using convolutional neural network. DATA 2019: 20:1-20:5 - [c7]Diego Acuña-Escobar, Julio Ibarra-Fiallo, Monserrate Intriago-Pazmiño:
Real-time face identification from video surveillance cameras. DATA 2019: 46:1-46:4 - [c6]Fernando Maila-Maila, Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo:
Evaluation of Open Source Software for Testing Performance of Web Applications. WorldCIST (2) 2019: 75-82 - [c5]Kuntur Muenala, Julio Ibarra-Fiallo, Monserrate Intriago-Pazmiño:
Study of the Number Recognition Algorithms Efficiency After a Reduction of the Characteristic Space Using Typical Testors. WorldCIST (1) 2019: 875-885 - 2017
- [c4]Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo, Raúl Alonso-Calvo, José Crespo, Antonio Criollo-Ramos:
A new approach to two-dimensional filter for segmenting retinal vascular network from fundus images of premature born. ISSPIT 2017: 405-409 - 2016
- [j1]Eduardo Alba-Cabrera, Salvador Godoy-Calderón, Julio Ibarra-Fiallo:
Generating synthetic test matrices as a benchmark for the computational behavior of typical testor-finding algorithms. Pattern Recognit. Lett. 80: 46-51 (2016) - 2015
- [c3]Víctor Iván González-Guevara, Salvador Godoy-Calderón, Eduardo Alba-Cabrera, Julio Ibarra-Fiallo:
A Mixed Learning Strategy for Finding Typical Testors in Large Datasets. CIARP 2015: 716-723 - 2014
- [c2]Eduardo Alba-Cabrera, Julio Ibarra-Fiallo, Salvador Godoy-Calderón, Fernando Cervantes-Alonso:
YYC: A Fast Performance Incremental Algorithm for Finding Typical Testors. CIARP 2014: 416-423 - 2013
- [c1]Eduardo Alba-Cabrera, Julio Ibarra-Fiallo, Salvador Godoy-Calderón:
A Theoretical and Practical Framework for Assessing the Computational Behavior of Typical Testor-Finding Algorithms. CIARP (1) 2013: 351-358
Coauthor Index
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