Julio Ibarra-Fiallo

According to our database, Julio Ibarra-Fiallo authored at least 15 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Contextual Deep Learning Approaches for Time Series Reconstruction.

Julio Ibarra-Fiallo, Juan A. Lara

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024

2023

Quantitative Measures for Medical Fundus and Mammography Images Enhancement.

Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo, Adán Guzmán-Castillo, Raúl Alonso-Calvo, José Crespo

Int. J. Interact. Multim. Artif. Intell., 2023

Improved Technique for Dimensionality Reduction: Star and Quasar Classification with Typical Testors.

Mateo Martínez-Mejía, Julio Ibarra-Fiallo

Proceedings of the Intelligent Systems and Applications, 2023

2022

A New Approach for Optimal Selection of Features for Classification Based on Rough Sets, Evolution and Neural Networks.

Eddy Torres-Constante, Julio Ibarra-Fiallo, Monserrate Intriago-Pazmiño

Proceedings of the Intelligent Systems and Applications, 2022

Optic Disk Detection in Fundus Images of Retinopathy of Prematurity.

Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo, María Pérez-Hernández, Adán Guzmán-Castillo, Eddy Torres-Constante

Proceedings of the Future Technologies Conference, 2022

2020

Enhancing vessel visibility in fundus images to aid the diagnosis of retinopathy of prematurity.

Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo, José Crespo, Raúl Alonso-Calvo

Health Informatics J., 2020

2019

Study of the Number Recognition Algorithms Efficiency After a Reduction of the Characteristic Space Using Typical Testors.

Kuntur Muenala, Julio Ibarra-Fiallo, Monserrate Intriago-Pazmiño

Proceedings of the New Knowledge in Information Systems and Technologies, 2019

Evaluation of Open Source Software for Testing Performance of Web Applications.

Fernando Maila-Maila, Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo

Proceedings of the New Knowledge in Information Systems and Technologies, 2019

Segmenting retinal vascular net from retinopathy of prematurity images using convolutional neural network.

Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo, Raúl Alonso-Calvo, José Crespo

Proceedings of the Second International Conference on Data Science, 2019

Real-time face identification from video surveillance cameras.

Diego Acuña-Escobar, Julio Ibarra-Fiallo, Monserrate Intriago-Pazmiño

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.

Monserrate Intriago-Pazmiño, Julio Ibarra-Fiallo, Raúl Alonso-Calvo, José Crespo, Antonio Criollo-Ramos

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.

Eduardo Alba-Cabrera, Salvador Godoy-Calderón, Julio Ibarra-Fiallo

Pattern Recognit. Lett., 2016

2015

A Mixed Learning Strategy for Finding Typical Testors in Large Datasets.

Víctor Iván González-Guevara, Salvador Godoy-Calderón, Eduardo Alba-Cabrera, Julio Ibarra-Fiallo

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.

Eduardo Alba-Cabrera, Julio Ibarra-Fiallo, Salvador Godoy-Calderón, Fernando Cervantes-Alonso

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.

Eduardo Alba-Cabrera, Julio Ibarra-Fiallo, Salvador Godoy-Calderón

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013