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Mostrando ítems 231-240 de 760
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Confianza y desconfianza en redes sociales: Detección de trolls
(Asociación de Técnicos de Informática (ATI), 2013)
Uno de los aspectos más importantes en la empresa 2.0 es la gestión de la reputación on line. En este trabajo, nos enfrentamos a los comportamientos deshonestos que se pueden llevar a cabo en la web 2.0 para alterar la ...
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Asynchronous dual-pipeline deep learning framework for online data stream classification
(IOS Press, 2020)
Data streaming classification has become an essential task in many fields where real-time decisions have to be made based on incoming information. Neural networks are a particularly suitable technique for the streaming ...
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A cloud-based integration platform for enterprise application integration: A Model-Driven Engineering approach
(John Wiley & Sons, 2020-10)
This article addresses major information systems integration problems, approaches, technologies, and tools within the context of Model-Driven Software Engineering. The Guaraná integration platform is introduced as an ...
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Conditioned Cooperative training for semi-supervised weapon detection
(Elsevier, 2023-10-01)
Violent assaults and homicides occur daily, and the number of victims of mass shootings increases every year. However, this number can be reduced with the help of Closed Circuit Television (CCTV) and weapon detection models, ...
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Run-time prediction of business process indicators using evolutionary decision rules
(Elsevier, 2017)
Predictive monitoring of business processes is a challenging topic of process mining which is concerned with the prediction of process indicators of running process instances. The main value of predictive monitoring is to ...
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Tactical Business-Process-Decision Support based on KPIs Monitoring and Validation
(Elsevier, 2018)
Key Performance Indicators (KPIs) can be used to evaluate the success of an organization, facilitating the detection of the deviations and unexpected evolution of the behaviour of a company. The difficulty for enterprises ...
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Machine learning techniques to discover genes with potential prognosis role in Alzheimer’s disease using different biological sources
(Elsevier, 2017)
Alzheimer’s disease is a complex progressive neurodegenerative brain disorder, being its prevalence ex pected to rise over the next decades. Unconventional strategies for elucidating the genetic mechanisms are necessary ...