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A novel strategy to classify chronic patients at risk: a hybrid machine learning approach
(2022)
Various care processes have been affected by COVID-19. One of the most dramatic has been
the care of chronic patients under medical supervision. According to the World Health Organization
(WHO), a chronic patient has one ...
Academic performance predicting model based on machine learning and keller's motivation measure
(2022)
This article investigates a model for predicting the academic performance of university students using Machine Learning techniques based on the level of motivation achieved with the implementation of the ARCS instructional ...
Engineering students' perception of the use of machine learning in accounting learning
(2022)
This article investigates the effects on motivation and learning of topics related to the accounting subject, with theimplementation of Machine Learning as a pedagogical tool in the context of university education. A ...
A new fast training algorithm for autoencoder neural networks based on extreme learning machine
(2022)
Autoencoders are neural networks that are characterized by having the same inputs and outputs. This kind of Neural Networks aim to estimate a nonlinear transformation whose parameters allow to represent the input patterns ...
Prediction of banana production using epidemiological parameters of black sigatoka: an application with random forest
(2022)
Accurate predictions of crop production are critical to developing effective strategies at the
farm level. Knowing banana production is due to the need to maximize the investment–profit ratio,
and the availability of ...