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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 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:googlescopusBenchmarking 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:googlescopusAn Analysis of Deep Learning Architectures for Cancer Diagnosis
Conference ObjectAbstract: It was analyzed the reference information on Deep Learning applications in the areas of diagnosis anPalabras claves:architectures, Cancer diagnosis, deep learning, Machine learningAutores:Bedor Caballero J.A., Daniel Humberto Plua Moran, Galo Valverde Landivar, Maikel Yelandi Leyva Vazquez, Miguel Angel Quiroz MartinezFuentes:googlescopusAn Efficient Approach for Selecting QoS-Based Web Service Machine Learning Models Using Topsis
Conference ObjectAbstract: With the advancement of Service Oriented Architecture (SOA), web services have gained great populariPalabras claves:Machine learning, qos, QWS dataset, TOPSIS, WEB SERVICESAutores:Erick David Alvarado Castillo, Josue Leonardo Moncayo Redin, Luis Andy Briones Peñafiel, Miguel Angel Quiroz MartinezFuentes:googlescopusDeep Learning for Edge Computing: A Survey
Conference ObjectAbstract: A compendium of Deep Learning algorithms that are applied in Edge Computing through IoT devices thatPalabras claves:Data Analysis, deep learning, Edge computing, Machine learning, SurveyAutores:Cordero Solis L.B., Galo Valverde Landivar, Joffre Luis Leon Veas, Miguel Angel Quiroz MartinezFuentes:scopusDeterminación de los factores de riesgo del cáncer de mama mediante aprendizaje automático y el índice SHAP
Bachelor ThesisAbstract: El cáncer de mama es un tumor maligno que afecta a las personas de todo el mundo, con mayor frecuencPalabras claves:APRENDIZAJE AUTOMÁTICO, CÁNCER MAMA, FACTORES, ÍNDICE SHAPAutores:Danny Alexander Baque Rodríguez, Miguel Angel Quiroz Martinez, Wellington Cristóbal Mieles SarmientoFuentes:rraaeAnálisis y evaluación de la técnica de procesamiento de lenguaje natural automático supervisado para determinar la polaridad de un texto no estructurado en redes sociales
OtherAbstract: La clasificación de documentos basada en opiniones se convirtió en un tema interesante para la sociePalabras claves:Autores:Miguel Angel Quiroz MartinezFuentes:google