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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 Machine Learning Model Comparison and Selection Framework for Software Defect Prediction Using VIKOR
Conference ObjectAbstract: In today’s time, software quality assurance is the most essential and costly set of activities durinPalabras claves:Machine learning, MCDM, NASA dataset, Software defect pbkp_rediction, VIKOR methodAutores:Byron Alcívar Martínez Tayupanda, Luis Andy Briones Peñafiel, Miguel Angel Quiroz Martinez, Sulay Stephanie Camatón PaguayFuentes:googlescopusA New Model for the Selection of Information Technology Project in a Neutrosophic Environment
ArticleAbstract: Usually, companies confront the difficulty to make the best decision about the way to invest their rPalabras claves:Balanced Scorecard Model, Information Technology Project, Neutrosophic Analytic Hierarchy Process, Zero-one linear programmingAutores:González-Caballero E., Jesús Rafael Hechavarría Hernández, Maikel Yelandi Leyva Vazquez, Miguel Angel Quiroz Martinez, Portilla-Castell Y.Fuentes:googlescopusA framework for selecting classification models in the intruder detection system using topsis
Conference ObjectAbstract: As the network has expanded considerably, security mechanisms are a key issue in networks. IntrusivePalabras claves:INTRUSION DETECTION SYSTEM (IDS), Machine learning, NSL-KDD, TOPSISAutores:Carlos Jose Espinoza Alcivar, Deivid Temistocles Leon Rugel, Maikel Yelandi Leyva Vazquez, Miguel Angel Quiroz MartinezFuentes:googlescopusChatbot for Technical Support, Analysis of Critical Success Factors Using Fuzzy Cognitive Maps
Conference ObjectAbstract: Remote assistance needs to be automated for better coverage in time, quality, and quantity of clientPalabras claves:Chatbots, Critical success factors, Fuzzy cognitive maps simulation, Natural Language, technical supportAutores:Daniel Humberto Plua Moran, Maikel Yelandi Leyva Vazquez, Mayorga Plua S.E., Miguel Angel Quiroz Martinez, Monica Daniela Gomez Rios, Monica Gómez RíosFuentes:googlescopusComparative Analysis to Select an Emotion Recognition Tool Applying The AHP Model
OtherAbstract:Palabras claves:Autores:Miguel Angel Quiroz MartinezFuentes:googleAutomatización de los procesos de registro y procesamiento de información para la gestión de microcréditos del banco comunitario "Mujeres emprededoras" de la organización afroecuatoriana "Mujeres progresistas" del barrio Nigeria - Isla Trinitaria/Guayaquil.
Bachelor ThesisAbstract: A comienzos del año 2000 se conformó un grupo de mujeres creando la Agrupación Afroamericana de mujePalabras claves:BANCO COMUNITARIO, INFORMACIÓN DE LA GESTIÓN, MICROCRÉDITOS, PROCESO DE REGISTROAutores:Argenis Raul Chang Escobar, Cesar Enrique Mendoza Chavez, Maria Monserrate Mero Delgado, Miguel Angel Quiroz Martinez, Rony Daniel Ortiz ParragaFuentes:rraaeAutomatización de los procesos de registro y procesamiento de información para la gestión de microcréditos del banco comunitario" Mujeres emprededoras" de la organización …
OtherAbstract:Palabras claves:Autores:Miguel Angel Quiroz MartinezFuentes: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:googlescopus