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Detecção e classificação automáticas de alterações estruturais cerebrais em imagens de ressonância magnética para o auxílio ao diagnóstico do Alzheimer
(Universidade Federal de São Carlos, 2021-09-21)
Alzheimer's disease is a progressive and irreversible neurodegenerative condition with development characterized by asymmetrical brain atrophies. Across life, due to neuronal aging, a cognitively healthy brain presents ...
Optimum-path forest in support of collaborative filtering
(Universidade Federal de São Carlos, 2023-12-07)
Machine learning algorithms are being applied in various computational challenges, among which Recommender Systems (RS) present a range of techniques and approaches to effectively manage large volumes of data and provide ...
Planejamento de trajetória explorativa e informativa para monitoramento de ambientes desconhecidos com UAV: uma abordagem BO-POMDP
(Universidade Federal de São Carlos, 2023-10-31)
Unmanned Aerial Vehicles (UAVs) have been used for several applications in monitoring complex and unknown environments. The challenge is to plan missions for the UAV where the vehicle needs to visit and explore an area and ...
Simulador de alto nível para network-on-chip: método para a exploração de estratégias de mapeamento e roteamento
(Universidade Federal de São Carlos, 2024-05-14)
Many-core architectures can contain dozens or even hundreds of processing cores on a single chip, being used in high-performance applications due to their parallel execution capability. Although they offer great potential ...
Dimensionality reduction-based metric learning using information theoretic measures
(Universidade Federal de São Carlos, 2024-04-30)
Processing large amounts of data to extract useful information is one of the main issues that may be approached using machine learning. One way to obtain this information is by grouping data according to their common ...