Julio Ibarra-Fiallo
0000-0003-2907-4153
USFQ
40
Coauthors
16
Documentos
4
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Volumen de publicaciones por año
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Año de publicación | Num. Publicaciones |
---|---|
2012 | 1 |
2013 | 1 |
2014 | 1 |
2015 | 1 |
2016 | 1 |
2017 | 1 |
2019 | 4 |
2020 | 1 |
2022 | 3 |
2023 | 2 |
Publicaciones por áreas de conocimiento
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Área de conocimiento | Num. Publicaciones |
---|---|
Ciencias de la computación | 13 |
Algoritmo | 9 |
Aprendizaje automático | 4 |
Visión por computadora | 3 |
Red neuronal artificial | 1 |
Minería de datos | 1 |
Ingeniería de software | 1 |
Software | 1 |
Meteorología | 1 |
Publicaciones por áreas temáticas
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Área temática | Num. Publicaciones |
---|---|
Métodos informáticos especiales | 7 |
Ciencias de la computación | 6 |
Programación informática, programas, datos, seguridad | 6 |
Enfermedades | 3 |
Funcionamiento de bibliotecas y archivos | 2 |
Cirugía y especialidades médicas afines | 2 |
Medicina y salud | 2 |
Fisiología humana | 1 |
Literaturas de otras lenguas itálicas | 1 |
Instrumentos de precisión y otros dispositivos | 1 |
Principales fuentes de datos
Origen | Num. Publicaciones |
---|---|
Scopus | 16 |
Google Scholar | 6 |
RRAAE | 0 |
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Coautores destacados por número de publicaciones
Coautor | Num. Publicaciones |
---|---|
Monserrate Intriago-Pazmiño | 11 |
Eduardo Alba-Cabrera | 5 |
Godoy-Calderon S. | 4 |
Eddy Torres-Constante | 3 |
Crespo J. | 3 |
Alonso-Calvo R. | 3 |
Diego Acuña-Escobar | 2 |
Cristhian Cola-Pilicita | 1 |
González-Guevara V. | 1 |
Antonio Criollo-Ramos | 1 |
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Top Keywords
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Publicaciones del autor
A Hybrid Method for Characters Recognition using Ant Colony Feature Selection, KNN and Reducts
Conference ObjectAbstract: This work addresses the development of a hybrid method for feature selection and a strategy to classPalabras claves:ant colony feature selection, binary decision trees, exponential complexity, feature selection, handwritten characters recognition, pattern recognitionAutores:Cristhian Cola-Pilicita, Julio Ibarra-Fiallo, Monserrate Intriago-PazmiñoFuentes:googlescopusA New Approach for Optimal Selection of Features for Classification Based on Rough Sets, Evolution and Neural Networks
Conference ObjectAbstract: In number recognition, one of the challenges is to deal with the high dimensionality of data that afPalabras claves:accuracy, Evolutionary strategy, exponential complexity, Handwritten number classification, Minimal length, Neural networks, pattern recognition, Super-reductsAutores:Eddy Torres-Constante, Julio Ibarra-Fiallo, Monserrate Intriago-PazmiñoFuentes:googlescopusA New Handwritten Number Recognition Approach Using Typical Testors, Genetic Algorithms, and Neural Networks
Conference ObjectAbstract: In this paper, a method combining three techniques is proposed in order to reduce the amount of featPalabras claves:Evolutionary strategy, Fitness function, Genetic Algorithms, Handwritten number classification, Multi-layer neural network, Typical testorsAutores:Eddy Torres-Constante, Julio Ibarra-Fiallo, Monserrate Intriago-PazmiñoFuentes:googlescopusA theoretical and practical framework for assessing the computational behavior of typical testor-finding algorithms
Conference ObjectAbstract: Although the general relevance of Testor Theory as the theoretical ground for useful feature selectiPalabras claves:feature selection, testor theory, Typical testor algorithmsAutores:Eduardo Alba-Cabrera, Godoy-Calderon S., Julio Ibarra-FialloFuentes:scopusGenerating synthetic test matrices as a benchmark for the computational behavior of typical testor-finding algorithms
ArticleAbstract: Each typical testor-finding algorithm has a specific sensibility towards the number of rows, columnsPalabras claves:feature selection, testor theory, Typical testor algorithmsAutores:Eduardo Alba-Cabrera, Godoy-Calderon S., Julio Ibarra-FialloFuentes:scopus