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google(15)
Detection and Classification of Facial Features Through the Use of Convolutional Neural Networks (CNN) in Alzheimer Patients
Conference ObjectAbstract: In recent years, the widespread use of artificial neural networks in the field of image processing hPalabras claves:ALGORITHMS, Alzheimer’s, cnn, imagesAutores:Carlos Marcelo Borja-Galeas, César Byron Guevara Maldonado, Cesar Guevara, David R. Castillo Salazar, Héctor Fernando Gómez-Alvarado, Hugo Arias-Flores, Jairo Hidalgo-Guijarro, José Varela-Aldás, Lanzarini L.C., Marco Yandún-Velasteguí, Richard Rivera, Washington Raúl Fierro-SaltosFuentes:googlescopusData Stream Processing Method for Clustering of Trajectories
Conference ObjectAbstract: The constant advances in techniques for recording and collecting GPS trajectory information, the incPalabras claves:Buffer memory, cells, clusters, Data stream, TrajectoriesAutores:Estrebou C., Fernández-Bariviera A., GARY REYES ZAMBRANO, Lanzarini L.C.Fuentes:googlescopusData-Driven Gearbox Fault Severity Diagnosis Based on Concept Drift
Conference ObjectAbstract: Condition-based maintenance aims to determine the machine state in real time, by monitoring the signPalabras claves:Concept drift, concept evolution, Fault Detection, Jensen-Shannon divergence, Kullback-Leibler divergenceAutores:Diego R. Cabrera, Lanzarini L.C., Mariela Cerrada Lozada, Mario Peña, René-Vinicio Sánchez LojaFuentes:scopusAcademic performance of university students and its relation with employment
Conference ObjectAbstract: Educational Data Mining collects the various methods that allow extracting novelty and useful informPalabras claves:ACADEMIC PERFORMANCE, data visualization, Educational Data Mining, feature selectionAutores:Charnelli M.E., Javier F. Díaz, Lanzarini L.C.Fuentes:scopusFuzzy Cbkp_redit Risk Scoring Rules using FRvarPSO
ArticleAbstract: There is consensus that the best way for reducing insolvency situations in financial institutions isPalabras claves:Cbkp_redit risk, fuzzy rules, VarPSO (Variable Particle Swarm Optimization)Autores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusFuzzy classification rules with frvarpso using various methods for obtaining fuzzy sets
ArticleAbstract: Having strategies capable of automatically generating classification rules is highly useful in any dPalabras claves:Classification rules, Data Mining, Fuzzy C-means, fuzzy rules, Index Terms—FRvarPSO (Fuzzy Rules variable Particle Swarm Optimization)Autores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusGPS trajectory clustering method for decision making on intelligent transportation systems
Conference ObjectAbstract: Technological progress facilitates recording and collecting information on vehicles' GPS trajectoriePalabras claves:Clustering, GPS trajectories, Intelligent transportation systems, segmentationAutores:Fernández-Bariviera A., GARY REYES ZAMBRANO, Hasperué W., Lanzarini L.C.Fuentes:googlescopusExtraction of knowledge with population-based metaheuristics fuzzy rules applied to cbkp_redit risk
Conference ObjectAbstract: One of the goals of financial institutions is to reduce cbkp_redit risk. Consequently they must propPalabras claves:FR (Fuzzy Rules) cbkp_redit risk, VarPSO (Variable Particle Swarm Optimization)Autores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusFRvarPSO as an Alternative to Measure Cbkp_redit Risk in Financial Institutions
Conference ObjectAbstract: When assessing potential clients and their cbkp_redit status, financial institutions must use methodPalabras claves:Cbkp_redit risk, Classification rules, FRvarPSO (fuzzy rules variable particle swarm optimization), fuzzy rulesAutores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusFRvarPSO: A method for obtaining fuzzy classification rules using optimization Techniques
Conference ObjectAbstract: FRvarPSO is a new method for obtaining classification rules, which operates on nominal and/or fuzzyPalabras claves:Classification rules, Data Mining, fuzzy rules, Particle Swarm Optimization, varPSOAutores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopus