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Alocação de carteiras de ações utilizando aprendizado de máquina e regras fuzzy
(Universidade Federal de São Carlos, 2022-09-22)
Long-term investments through stock portfolios attract the attention of investors, who are looking for simple and effective ways to select stocks to compose a portfolio, as well as find a series of assets that will have ...
Detecção de defeitos em tecidos através de redes neurais convolucionais
(Universidade Federal de São Carlos, 2022-05-03)
This work aims to apply transfer learning to a detector based on convolutional neural networks to identify defects and patterns through tissue images. With Industry 4.0, intelligent systems are increasingly being applied ...
Redes neurais aplicadas a grafos: uma abordagem semi-supervisionada
(Universidade Federal de São Carlos, 2022-04-18)
In this work, we propose an in-depth analysis of Graph Convolutional Networks, a semi-supervised machine learning method for node classification in graph-structured data. Based on the seminal work proposed by Thomas Kipf ...
Utilização de métodos de aprendizado de máquina para estimação de escores de propensão
(Universidade Federal de São Carlos, 2022-04-18)
Increasingly larger and more complex databases can be easily obtained and appropriate technologies for modeling massive amounts of data become increasingly necessary in order to optimize results and predictions. Machine ...
Avaliação de métodos de construção de redes e detecção de comunidades no agrupamento de textos
(Universidade Federal de São Carlos, 2022-09-20)
Due to the large amount of data produced daily in text format, whether publicly on social networks or privately within companies, there is a need to analyze and extract information from them. The goal is to turn them into ...
Classificação não supervisionada para autômato celular elementar do Wolfram
(Universidade Federal de São Carlos, 2022-09-23)
Cellular Automata are gaining ground in many research areas such as biology, physics
and chemistry. But as more parameters are added, it becomes impossible to find
features that may be interesting for a particular ...