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        AutorAguilar Astudillo, Eduardo (1)Alanya Beltrán, Joel Elvis (1)Anton-De los Santos, Juan (1)Anton-De los Santos, Marco (1)Auccahuasi, Wilver (1)Bernardo, Grisi (1)Bernardo, Madelaine (1)Cano Chuqui, Jorge (1)Capuñay Uceda, Oscar Efraín (1)Chamorro-Atalaya, Omar (1)... másTemas
        Machine learning (7)
        Predictive modelling (2)Risk assessment (Finances) (2)Artificial intelligence (1)Environmental change (1)Image processing (1)Legal procedure (1)Patient care (1)Predictive analytics (1)Satellite image (1)... másFecha
        2022 (7)


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        Machine learning model through ensemble bagged trees in predictive analysis of university teaching performance 

        Leva Apaza, Antenor; Chamorro-Atalaya, Omar; Anton-De los Santos, Marco; Anton-De los Santos, Juan; Chávez-Herrera, Carlos; Torres-Quiroz, Almintor; Tasayco-Jala, Abel; Peralta-Eugenio8, Gutember (Science and Information Organization, 2022)
        Acceso abierto
        The objective of this study is to analyze and discuss the metrics of the Machine Learning model through the Ensemble Bagged Trees algorithm, which will be applied to data on satisfaction with teaching performance in the ...
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        A system of remote patients' monitoring and alerting using the machine learning technique 

        Alanya Beltrán, Joel Elvis; Dhinakaran, M.; Phasinam, Khongdet; Srivastava, Kingshuk; Vijendra Babu, D.; Kumar Singh, Sitesh (Hindawi, 2022)
        Acceso abierto
        Machine learning has become an essential tool in daily life, or we can say it is a powerful tool in the majority of areas that we wish to optimize. Machine learning is being used to create techniques that can learn from ...
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        Identification of urban sectors prone to solid waste accumulation: A machine learning approach based on social indicators 

        Izquierdo Horna, Luis Antonio; Damaso Amante, Miker; Yanayaco Lazo, Deyvis Junior (Elsevier, 2022)
        Acceso abierto
        In the last decades, the accumulation of municipal solid waste in urban areas has become a latent concern in our society due to its implications for the exposed population and the possible health and environmental issues ...
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        Machine learning for personal credit evaluation: A systematic review 

        Ogosi Auqui, José Antonio; Cano Chuqui, Jorge; Guadalupe Mori, Victor Hugo; Obando Pacheco, David Hugo (World Scientific and Engineering Academy and Society, 2022)
        Acceso abierto
        The importance of information in today's world as it is a key asset for business growth and innovation. The problem that arises is the lack of understanding of knowledge quality properties, which leads to the development ...
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        Machine learning for credit risk in the Reactive Peru Program: A comparison of the Lasso and Ridge regression models 

        Soria Quijaite, Juan Jesús; Geraldo-Campos, Luis Alberto; Pando-Ezcurra, Tamara (Multidisciplinary Digital Publishing Institute, 2022)
        Acceso abierto
        COVID-19 has caused an economic crisis in the business world, leaving limitations in the continuity of the payment chain, with companies resorting to credit access. This study aimed to determine the optimal machine ...
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        Satellite image classification for environmental change prediction using image processing and machine learning techniques 

        Quiroz Chavil, Helga Kelly; Pérez Díaz, Nelly Aurora; Capuñay Uceda, Oscar Efraín; Niño-de-Guzman-Tito, Michael; Aguilar Astudillo, Eduardo (Neuro Quantology, 2022)
        Acceso abierto
        In this research satellite image classification for environmental change prediction using image processing and machine learning methods is used. As we know satellite images is one of the important sources of collecting ...
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        Methodology for the use of machine learning, applied in predicting the level of success in legal cases 

        Rojas Romero, Karin Corina; Auccahuasi, Wilver; Herrera, Lucas; Urbano, Kitty; Peláez, Brayan; Flores Peña, Pedro; Montes Osorio, Yuly; Bernardo, Grisi; Bernardo, Madelaine; Meza, Sandra; Ovalle, Christian; Hilario, Francisco; Liendo, Milner; Sernaque, Fernando (RWTH Aachen University, 2022)
        Acceso abierto
        ICTs have allowed the applications of artificial intelligence to grow exponentially, where different applications are being presented, based on the application of neural networks as prediction mechanisms for different ...

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