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Enhancing solar flare forecasting: a multi-class and multi-label classification approach to handle imbalanced time series
(Universidade Federal de São Carlos, 2019-06-21)
Solar flares are huge releases of energy from the Sun. They are categorized in five levels
according to their potential damage to Earth (A, B, C, M, and X) and may produce strong
impacts to communication systems, threatening ...
Processamento eficiente de junção espacial em ambiente paralelo e distribuído baseado em Spatialhadoop
(Universidade Federal de São Carlos, 2017-02-17)
The huge volume of spatial data generated and made available in recent years from
different sources, such as remote sensing, smart phones, space telescopes, and
satellites, has motivated researchers and practitioners ...
Aprendizado de máquina aplicado ao auxílio do diagnóstico da doença de Parkinson
(Universidade Federal de São Carlos, 2017-07-26)
Currently, it is not a trivial task to point out a test that can diagnose accurately enough a patient
with Parkinson’s Disease, as well as it is quit difficult to assess the level of the disease.
Experts recommend the ...
Mineração de regras de associação espaço-temporais temáticas aplicada a imagens de explosões solares
(Universidade Federal de São Carlos, 2018-09-14)
Introduction. Space weather analysis is a complex task that involves spatiotemporal data from satellite images added to data from daily bulletins.
These data are characterized as time series of georeferenced images and ...
On the training algorithms for Restricted Boltzmann Machine-Based Models
(Universidade Federal de São Carlos, 2018-12-05)
Deep learning techniques have been studied extensively in the last years, due to its good results related to essential tasks on a large range of applications, such as speech and face recognition, as well as objects ...