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Advances in Intelligent Systems and Computing(1)
Communications in Computer and Information Science(1)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(1)
Lecture Notes in Networks and Systems(1)
Pattern Recognition Letters(1)
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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 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:scopusWeather Recognition Using Self-supervised Deep Learning
Conference ObjectAbstract: The automatic recognition of weather in images has many important applications in different fields,Palabras claves:FINE TUNING, Residual learning, Self-supervised deep learning, Transfer learning, Weather recognitionAutores:Diego Acuña-Escobar, Julio Ibarra-Fiallo, Monserrate Intriago-PazmiñoFuentes:scopusStudy of the Number Recognition Algorithms Efficiency After a Reduction of the Characteristic Space Using Typical Testors
Conference ObjectAbstract: The present work studies an application of typical testors to reduce the space of characteristics usPalabras claves:logistic regression, Number recognition algorithm, Stochastic algorithms, Typical testorAutores:Julio Ibarra-Fiallo, Kuntur Muenala, Monserrate Intriago-PazmiñoFuentes:scopus