A Theoretical and Practical Framework for Assessing the Computational Behavior of Typical Testor-Finding Algorithms. - Eduardo Alba-Cabrera; Julio Ibarra-Fiallo; Salvador Godoy-Calderón (CIARP (1), 2013)

YYC: A Fast Performance Incremental Algorithm for Finding Typical Testors. - Eduardo Alba-Cabrera; Julio Ibarra-Fiallo; Salvador Godoy-Calderón; Fernando Cervantes-Alonso (CIARP, 2014)

A Mixed Learning Strategy for Finding Typical Testors in Large Datasets. - Víctor Iván González-Guevara; Salvador Godoy-Calderón; Eduardo Alba-Cabrera; Julio Ibarra-Fiallo (CIARP, 2015)

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)

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 (ISSPIT, 2017)

Real-time face identification from video surveillance cameras. - Diego Acuña-Escobar; Julio Ibarra-Fiallo; Monserrate Intriago-Pazmiño (DATA, 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 (DATA, 2019)

Evaluation of Open Source Software for Testing Performance of Web Applications. - Fernando Maila-Maila; Monserrate Intriago-Pazmiño; Julio Ibarra-Fiallo (WorldCIST (2), 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 (WorldCIST (1), 2019)

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)

Optic Disk Detection in Fundus Images of Retinopathy of Prematurity. - Monserrate Intriago-Pazmiño; Julio Ibarra-Fiallo; María Pérez-Hernández 001; Adán Guzmán-Castillo; Eddy Torres-Constante (FTC (3), 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 (IntelliSys (1), 2022)

Improved Technique for Dimensionality Reduction: Star and Quasar Classification with Typical Testors. - Mateo Martínez-Mejía; Julio Ibarra-Fiallo (IntelliSys (2), 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)

Contextual Deep Learning Approaches for Time Series Reconstruction. - Julio Ibarra-Fiallo; Juan A. Lara (COINS, 2024)