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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 ...
Análise comparativa de benchmarks para banco de dados NoSQL orientados a grafos de propriedades
(Universidade Federal de São Carlos, 2021-07-06)
The new era of data economics, based on data sets with enormous volume, wide variety of formats, and rapid speed in data production and utilization, has brought the need for new data management structures and methods. Then ...
Análise sobre o fator temporal em tarefas de quantificação com dados textuais
(Universidade Federal de São Carlos, 2023-12-13)
The quantification task, a recently discovered field in machine learning, estimates the
class distribution of a dataset. Usually, quantification tasks are solved through classifica-
tion, an inducted classifier predicts ...
Uma avaliação experimental entre MongoDB e Mongochain utilizando o benchmark YCSB+T
(Universidade Federal de São Carlos, 2024-04-04)
The Atomicity, Consistency, Isolation and Durability (ACID) properties found in a Database Management System (DBMS) are normally related to relational Databases (DB). On the other hand, the emergence of the Not Just SQL ...
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 ...
Fuzzy approach for classification and novelty detection in data streams
(Universidade Federal de São Carlos, 2022-02-11)
Learning in data streams (DS) is a research area that seeks to extract knowledge from a large amount of continuously generated data in a short period of time. The novelty detection (ND) is responsible for identifying the ...