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Julio Ibarra-Fiallo

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affiliation: Universidad San Francisco de Quito, Ecuador

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Journal Articles

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2023
[j3]
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  - journals/ijimai/IntriagoPazminoIGAC23
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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)
2020
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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)
2016
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  - journals/prl/Alba-CabreraGI16
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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)

Conference and Workshop Papers

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2022
[c10]
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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]
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  - conf/intellisys/Torres-Constante22
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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
2019
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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]
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  - conf/data2/Acuna-EscobarII18
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Diego Acuña-Escobar, Julio Ibarra-Fiallo, Monserrate Intriago-Pazmiño:
Real-time face identification from video surveillance cameras. DATA 2019: 46:1-46:4
[c6]
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  - conf/worldcist/Maila-MailaII19
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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
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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
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  - conf/isspit/Intriago-Pazmino17
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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
2015
[c3]
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  - conf/ciarp/Gonzalez-Guevara15
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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]
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  - conf/ciarp/Alba-CabreraIGC14
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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]
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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

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