Browsing Scientific Production by Subject "Machine Learning"
Now showing items 1-14 of 14
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An integrative model to predict product replacement using deep learning on longitudinal data
(2020) [Journal article]Past research on product upgrades has focused either on understanding who and when will upgrade or on figuring out why consumers will upgrade, but seldom on all. It has also neglected the interplay between these matters ... -
Aprendizado de máquina nos serviços farmacêuticos : uma revisão integrativa
(2023) [Journal article]A crescente digitalização e aplicação de inteligência artificial (IA) em problemas complexos do mundo real, tem potencial de melhorar os serviços de saúde, inclusive da atuação dos farmacêuticos no processo do cuidado. O ... -
Assessing atypical brain functional connectivity development : an approach based on generative adversarial networks
(2023) [Journal article]Generative Adversarial Networks (GANs) are promising analytical tools in machine learning applications. Characterizing atypical neurodevelopmental processes might be useful in establishing diagnostic and prognostic biomarkers ... -
Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets
(2021) [Journal article]The Coronavirus pandemic caused by the novel SARS-CoV-2 has significantly impacted human health and the economy, especially in countries struggling with financial resources for medical testing and treatment, such as Brazil’s ... -
Data mining the memory access stream to detect anomalous application behavior
(2017) [Complete work published in event] -
Dual neural network approach for virtual sensor at indoor positioning system
(2020) [Complete work published in event] -
Modeling coordinated operation of multiple hydropower reservoirs at a continental scale using artificial neural network : the case of Brazilian hydropower system
(2021) [Journal article]Reservoirs considerably affect river streamflow and need to be accurately represented in environmental impact studies. Modeling reservoir outflow represents a challenge to hydrological studies since reservoir operations ... -
Prediction of attempted suicide in men and women with crack-cocaine use disorder in Brazil
(2020) [Journal article]Background: Suicide is a severe health problem, with high rates in individuals with addiction. Considering the lack of studies exploring suicide predictors in this population, we aimed to investigate factors associated ... -
Prediction of indicators through machine learning and anomaly detection : a case study in the supplementary health system in Brazil
(2021) [Journal article]The research aimed to investigate the stages of a MachineLearning model process creation inordertopredict the indicator over the number of medical appointments per day done in the areaof supplementary health inthe region ... -
Quantifying power system frequency quality and extracting typical patterns within short time scales below one hour
(2024) [Journal article]This paper addresses the lack of consideration of short time scales, below one hour, such as sub-15-min and sub-1-hr, in grid codes for frequency quality analysis. These time scales are becoming increasingly important due ... -
Reconstruction of water mask from optical cloudy Landsat scenes using Naive Bayes algorithm
(2023) [Complete work published in event] -
Segmentation of dental restorations on panoramic radiographs using deep learning
(2022) [Journal article]Convolutional Neural Networks (CNNs) such as U-Net have been widely used for medical image segmentation. Dental restorations are prominent features of dental radiographs. Applying U-Net on the panoramic image is challenging, ... -
Soluble amyloid-beta isoforms predict downstream Alzheimer’s disease pathology
(2021) [Journal article]Background: Changes in soluble amyloid-beta (Aβ) levels in cerebrospinal fluid (CSF) are detectable at early preclinical stages of Alzheimer’s disease (AD). However, whether Aβ levels can predict downstream AD pathological ... -
Using UAV for automatic lithological classification of open pit mining front
(2019) [Journal article]Mine planning is dependent on the natural lithologic features and on the definition of their limits. The geological model is constantly updated during the life of the mine, based on all the information collected so far, ...