Julio Ibarra-Fiallo

16 papers C 4Journal 4Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
MVP - A Multistep Visual Pretraining Pipeline for Efficient Weather Recognition.
IEEE Access
Diego Acuña-Escobar, Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo
2024 — conf
Contextual Deep Learning Approaches for Time Series Reconstruction.
COINS
Julio Ibarra-Fiallo, Juan Alfonso Lara
2023 — conf
Improved Technique for Dimensionality Reduction: Star and Quasar Classification with Typical Testors.
IntelliSys (2)
Mateo Martínez-Mejía, Julio Ibarra-Fiallo
2023 J jnl
Quantitative Measures for Medical Fundus and Mammography Images Enhancement.
Int. J. Interact. Multim. Artif. Intell.
Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo, Adán Guzmán-Castillo, Raúl Alonso-Calvo, José Crespo
2022 — conf
A New Approach for Optimal Selection of Features for Classification Based on Rough Sets, Evolution and Neural Networks.
IntelliSys (1)
Eddy Torres-Constante, Julio Ibarra-Fiallo, Monserrate Intriago-Pazmiño
2022 — conf
Optic Disk Detection in Fundus Images of Retinopathy of Prematurity.
FTC (3)
Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo, María Pérez-Hernández, Adán Guzmán-Castillo, Eddy Torres-Constante
2020 J jnl
Enhancing vessel visibility in fundus images to aid the diagnosis of retinopathy of prematurity.
Health Informatics J.
Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo, José Crespo, Raúl Alonso-Calvo
2019 — conf
Evaluation of Open Source Software for Testing Performance of Web Applications.
WorldCIST (2)
Fernando Maila-Maila, Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo
2019 C conf
Real-time face identification from video surveillance cameras.
DATA
Diego Acuña-Escobar, Julio Ibarra-Fiallo, Monserrate Intriago-Pazmiño
2019 C conf
Segmenting retinal vascular net from retinopathy of prematurity images using convolutional neural network.
DATA
Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo, Raúl Alonso-Calvo, José Crespo
2019 — conf
Study of the Number Recognition Algorithms Efficiency After a Reduction of the Characteristic Space Using Typical Testors.
WorldCIST (1)
Kuntur Muenala, Julio Ibarra-Fiallo, Monserrate Intriago-Pazmiño
2017 — conf
A new approach to two-dimensional filter for segmenting retinal vascular network from fundus images of premature born.
ISSPIT
Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo, Raúl Alonso-Calvo, José Crespo, Antonio Criollo-Ramos
2016 J jnl
Generating synthetic test matrices as a benchmark for the computational behavior of typical testor-finding algorithms.
Pattern Recognit. Lett.
Eduardo Alba-Cabrera, Salvador Godoy-Calderón, Julio Ibarra-Fiallo
2015 C conf
A Mixed Learning Strategy for Finding Typical Testors in Large Datasets.
CIARP
Víctor Iván González-Guevara, Salvador Godoy-Calderón, Eduardo Alba-Cabrera, Julio Ibarra-Fiallo
2014 C conf
YYC: A Fast Performance Incremental Algorithm for Finding Typical Testors.
CIARP
Eduardo Alba-Cabrera, Julio Ibarra-Fiallo, Salvador Godoy-Calderón, Fernando Cervantes-Alonso
2013 — conf
A Theoretical and Practical Framework for Assessing the Computational Behavior of Typical Testor-Finding Algorithms.
CIARP (1)
Eduardo Alba-Cabrera, Julio Ibarra-Fiallo, Salvador Godoy-Calderón