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A Framework for Modeling Critical Success Factors in the Selection of Machine Learning Algorithms for Breast Cancer Recognition
Conference ObjectAbstract: Analysis of critical success factors allows software development organizations to focus on the factoPalabras claves:Bosom cancer recognition, Critical success factors, Fuzzy Mental Maps, Machine learningAutores:Eddy Raul Montenegro Marin, Galo Valverde Landivar, Maikel Yelandi Leyva Vazquez, Miguel Angel Quiroz MartinezFuentes:scopusA Framework for Selecting Machine Learning Models Using TOPSIS
Conference ObjectAbstract: In machine learning, it is common when multiple algorithms are applied to different data sets that aPalabras claves:Breast Cancer, Breast cancer Wisconsin dataset, Data set, Machine learning, TOPSISAutores:Luis Andy Briones Peñafiel, Maikel Yelandi Leyva Vazquez, Miguel Angel Quiroz Martinez, Steven Xavier Sanchez MuñozFuentes:scopusA model for a cardiac disease diagnosis based on computing with word and competitive fuzzy cognitive maps
OtherAbstract: Fuzzy cognitive maps have received increasing attention for the representation of the causal knowledPalabras claves:Autores:Geomayra Stefania Delgado Veloz, Maikel Yelandi Leyva Vazquez, Ronald Mauricio Alvarado FloresFuentes:googleA model for the scenario analysis based on diffuse cognitive maps: A case study in biomedical software
ArticleAbstract: The scenario analysis is a strategic planning method frequently used in technological management. ThPalabras claves:Biomedical software, Causal models, Diffuse cognitive maps, OWA Operators, scenario analysisAutores:Febles-Estrada A., Gulín-González J., Maikel Yelandi Leyva Vazquez, Teruel K.P.Fuentes:googlescopusAHP Applied to the Prioritization of Recreational Spaces in Green Areas. Case Study: Urban Area of the El Empalme Canton, Ecuador
Conference ObjectAbstract: The deficiency of green areas in the urban area of El Empalme canton in Ecuador, induces the dissatiPalabras claves:Analytic hierarchy process, Green areas, Recreational spaces, Urban green area, Urban green indexAutores:Jesús Rafael Hechavarría Hernández, Lizbeth Amelia Toapanta Orbea, Maikel Yelandi Leyva VazquezFuentes:scopusClinical assessment using an algorithm based on fuzzy C-means clustering
Conference ObjectAbstract: The Fuzzy c-means (FCM) algorithms define a grouping criterion from a function, which seeks to minimPalabras claves:Clinical assessment, Fuzzy grouping, fuzzy logic, Glasgow, TriageAutores:Carlos Alberto Sánchez Castillo, Edwin Guillermo Guaman Redrovan, Guijarro Alfonso Aníbal Rodríguez, Jessica Yepez Holguin, Lorenzo Jovanny Cevallos Torres, Maikel Yelandi Leyva Vazquez, Miguel Botto-TobarFuentes:googlescopusComparative study of artificial intelligence techniques for the diagnosis of diseases in livestock
Conference ObjectAbstract: The diagnosis of diseases is a complex cognitive process that involves training, experience, recogniPalabras claves:Artificial Intelligence Techniques, classification, Decision Making, Diagnosis of diseases, pbkp_redictionAutores:González C.N., Katya M. Faggioni, Maikel Yelandi Leyva Vazquez, Paúl Javier Álvarez-SagubayFuentes:scopusComponente informático para la selección de equipos de trabajo quirúrgico en el sistema XAVIA HIS aplicando Análisis de Redes Sociales
OtherAbstract: Se desarrolla un componente informático para la selección de equipos de trabajo quirúrgico en el SisPalabras claves:Autores:Maikel Yelandi Leyva VazquezFuentes:googleBenchmarking Neural Networks Activation Functions for Cancer Detection
Conference ObjectAbstract: The choice of the most suitable activation functions for artificial neural networks significantly afPalabras claves:Activation functions, Benchmarking, Cancer detection, Neural networksAutores:Daniel Humberto Plua Moran, Josue Ricardo Borja Vernaza, Maikel Yelandi Leyva Vazquez, Miguel Angel Quiroz MartinezFuentes:googlescopusAnalysis of the causes of drug use by means of machine learning
ArticleAbstract: Drug consumption is a real problem that affects a large part of the world’s adult society, but unquePalabras claves:Causal analysis, Drug use, Machine learningAutores:Cevallos R.E.H., Iyo Alexis Cruz Piza, Maikel Yelandi Leyva Vazquez, Teruel K.P.Fuentes:scopus