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Modelo de minería de datos para la predicción de casos de anemia en gestantes de la provincia de Ilo.
(Universidad Nacional de Moquegua, 2019)
Using crystallographic water properties for the analysis and prediction of lectin-carbohydrate complex structures
(Oxford Univ Press Inc, 2015-02)
Understanding protein-ligand interactions is a fundamental question in basic biochemistry, and the role played by the solvent along this process is not yet fully understood. This fact is particularly relevant in lectins, ...
Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop
(PERGAMON-ELSEVIER SCIENCE LTD, 2009)
This paper describes the modeling of a weed infestation risk inference system that implements a collaborative inference scheme based on rules extracted from two Bayesian network classifiers. The first Bayesian classifier ...
Can digital games help us identify our skills to manage abstractions?
(Springer, 2016-12)
In this work we present our progress in the field of Intelligent User Profiling. Our objective is to build a user profile that captures users’ skills rather than classical users’ interests. Thus, we propose a novel approach ...
Uma abordagem inovadora para classificação de tráfego em tempo real em ambiente de redes definidas por software (SDN)
(Universidade Federal de Minas GeraisBrasilENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICAPrograma de Pós-Graduação em Engenharia ElétricaUFMG, 2019-08-02)
The growing demand for high-speed transmission rates on recent years has attracted research in new mechanisms for network traffic characterization and classification. Their inadequate treatment degrades the performance of ...
Modelo Predictivo del Índice NPS Basado en Información Textual de Percepción del Servicio al Cliente
(Universidad Ricardo PalmaPE, 2019)
En la actualidad la administradora del fondo de pensiones (AFP) del mercado peruano viene realizando encuestas telefónicas para medir el nivel de servicio que ofrece a sus clientes, se hace uso del Net Promoter Score una ...
Diagnóstico de Enfermedades Card´ıacas con los algoritmos supervisados Naives Bayesian
(Universidad de Palermo, 2020)
Robustez de classificadores Naive Bayes híbridos quanto a quebra do pressuposto de independência das variáveisRobustness of hybrid Naive Bayes classifiers in breaking variable independence guidelines
(Universidade Federal de ViçosaEstatística Aplicada e Biometria, 2023)
Bayesian Classifiers in Intrusion Detection Systems
(Universidad de la Costa, 2020)
Comparação de algoritmos de aprendizado de máquina na classificação de neoplasias mamárias
(Universidade Federal de UberlândiaBrasilSistemas de Informação, 2021)