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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)
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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 mixed learning strategy for finding typical testors in large datasets
Conference ObjectAbstract: This paper presents a mixed, global and local, learning strategy for finding typical testors in largPalabras claves:ALGORITHMS, feature selection, testor theoryAutores:Eduardo Alba-Cabrera, Godoy-Calderon S., González-Guevara V., Julio Ibarra-FialloFuentes:scopusA new approach to two-dimensional filter for segmenting retinal vascular network from fundus images of premature born
Conference ObjectAbstract: There is a wide interest in the segmentation of retinal vessel structure from fundus images of pretePalabras claves:fundus image analysis, medical image processing, retinal vessels segmentation, Retinopathy of PrematurityAutores:Alonso-Calvo R., Antonio Criollo-Ramos, Crespo J., 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:scopusEnhancing vessel visibility in fundus images to aid the diagnosis of retinopathy of prematurity
ArticleAbstract: Retinopathy of prematurity is a disease that can affect premature or in similar conditions babies. FPalabras claves:Artificial Neural Network, fundus enhancement, medical image processing, Retinopathy of PrematurityAutores:Alonso-Calvo R., Crespo J., Julio Ibarra-Fiallo, Monserrate Intriago-PazmiñoFuentes:scopusEvaluation of open source software for testing performance of web applications
Conference ObjectAbstract: The evaluation of Open Source software for testing performance in Web applications is accomplished.Palabras claves:Iso/Iec 25010, ISO/IEC 25023, ISTQB, Open Source, Software qualityAutores:Fernando Maila-Maila, Julio Ibarra-Fiallo, Monserrate Intriago-PazmiñoFuentes:scopusNew strategies for evaluating the performance of typical testor algorithms
Conference ObjectAbstract: Typical testors have been used in feature selection and supervised classification problems in the loPalabras claves:feature selection, Logical combinatorial PR, test matrices, testor theory, typical testors algorithmsAutores:Diego Guilcapi, Eduardo Alba-Cabrera, Julio Ibarra-FialloFuentes:scopus