Mostrando 10 resultados de: 18
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Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST(5)
2018 5th International Conference on eDemocracy and eGovernment, ICEDEG 2018(2)
ACM International Conference Proceeding Series(2)
2020 7th International Conference on eDemocracy and eGovernment, ICEDEG 2020(1)
2021 8th International Conference on eDemocracy and eGovernment, ICEDEG 2021(1)
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A Fuzzy-Based Recommender System for Public Tax Payment
Conference ObjectAbstract: Governmental institutions around the world need funding to keep and raise their social and financialPalabras claves:EGovernment, fuzzy logic, recommender systems, tax paymentsAutores:Jaime Meza Hormaza, Luis Terán, Piaun A., Tomala M.Fuentes:scopusA new approach to taxation centred on the citizen: Case study of Quito’s Municipality and the Dutch government
ArticleAbstract: Governmental institutions need funding to keep and raise their social and financial programs. One ofPalabras claves:EGovernment, fuzzy logic, recommender systems, Tax administration, tax payments, Taxation supervisionAutores:Jaime Meza Hormaza, Luis Terán, Pijnenburg M.Fuentes:scopusCognitive systems for urban planning: A literature review
Conference ObjectAbstract: The need of citizens engagement in modeling the vast amount of services provided by governments hasPalabras claves:BIG DATA, Cognitive cities, Cognitive computing, Collective Intelligence, Fuzzy methods, Smart cities, Urban PlanningAutores:Jaime Meza Hormaza, Lorena Recalde, Luis TeránFuentes:scopusCollective Intelligence Education, Enhancing the Collaborative Learning
Conference ObjectAbstract: Education continually maintains challenges evidenced by an evolution since its origins. The processPalabras claves:Collective Intelligence, higher education, ictAutores:Alex F. Jimenez, Jaime Meza Hormaza, Karina Mendoza, Leticia Vaca-CardenasFuentes:scopusCIR: Fostering collective creativity
Conference ObjectAbstract: Nowadays, society and organizations face an accelerated innovation that requires of professionals wiPalabras claves:Collective Intelligence, creativity, Emotional Intelligence, ict, innovationAutores:Jaime Meza Hormaza, Monguet-Fierro J.M., Mónica Vaca-Cárdenas, Oswaldo Ortiz, Sonia RomanFuentes:googlescopusCase of study of latent Dirichlet assignment method (LDA) in literary review processes
ArticleAbstract: The literary review processes have used multiple methods for the search and classification of studiePalabras claves:HOUSING, Lda, Literature review methods, recommender systemsAutores:Emanuel Muñoz, Jaime Meza Hormaza, Nelson Salgado ReyesFuentes:scopusAccuracy' measures of sentiment analysis algorithms for spanish corpus generated in peer assessment
Conference ObjectAbstract: The purpose of this study is to test a model that classifies some sentiment as positive or negativePalabras claves:classification algorithms, higher education, Machine learning, Peer Assessment, sentiment analysis, Spanish corpusAutores:Jaime Meza Hormaza, Lorena Bowen Mendoza, Maricela Pinargote Ortega, Ventura Soto S.Fuentes:scopusFostering collective intelligence education
Conference ObjectAbstract: New educational models are necessary to update learning environments to the digitally shared communiPalabras claves:Collective intelligence education, Learning patterns, Teaching KPIAutores:Grimón F., Jaime Meza, Jaime Meza Hormaza, Monguet-Fierro J.M., Trejo A.Fuentes:googlescopusGuess the score, fostering collective intelligence in the class
Conference ObjectAbstract: This paper proposes the use of serious games as a tool to enhance collective intelligence of undergrPalabras claves:Collective intelligence education, ICT tools, Learning, Patterns, Serious GamesAutores:Jaime Meza, Jaime Meza Hormaza, Monguet-Fierro J.M.Fuentes:googlescopusFeature selection reveal peripheral blood parameter's changes between COVID-19 infections patients from Brazil and Ecuador
ArticleAbstract: The investigation of conventional complete blood-count (CBC) data for classifying the SARS-CoV-2 infPalabras claves:Brazil, covid-19, ECUADOR, Hematological data, Machine learning, SARS-COV-2Autores:Dorn M., Feltes B.C., Jaime Meza, Jaime Meza Hormaza, Jorge Parraga-Alava, Luis Terán, Portmann E., Vieira I.A.Fuentes:googlescopus