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Classificação preditiva de fases para ligas multicomponentes CrCoFeMnNi utilizando machine learning
(Universidade Federal de São Carlos, 2023-02-16)
When we refer to multicomponent alloys, or high entropy alloys as they are commonly called, it is inevitable to discuss the challenge of exploring new compositions that may be of scientific interest. This difficulty is ...
Classificação de imagens de satélite com redes neurais convolucionais
(Universidade Federal de São Carlos, 2023-04-06)
Satellite images are used in several areas, such as agribusiness, urban planning, environmental monitoring, among others. These images have a large and complex amount of data and the application of Machine Learning techniques ...
Classifcação binária via Bayes Ingênuo: um estudo comparativo de predições
(Universidade Federal de São Carlos, 2023-03-17)
In this undergraduate thesis, we propose a review of the Naive Bayes classifcation
method applied to binary response variables, with a more in-depth formalization of the
Gaussian Naive Bayes and Flexible Naive Bayes ...
Algoritimo de detecção de retinopatia diabética baseado em aprendizado de máquina
(Universidade Federal de São Carlos, 2023-04-06)
In this study, the application of neural network and machine learning techniques was explored in order to identify the presence of lesions related to diabetic retinopathy (DR) in fundus images. DR is a frequent complication ...
Análise comparativa entre técnicas de aprendizado de máquina aplicadas para a predição de preços de produtos hortifrutícolas
(Universidade Federal de São Carlos, 2023-08-29)
Family farming is characterized as any form of land cultivation managed by a family, employing its own members as the main labor force. Most agricultural establishments in Brazil fit this definition, however, the area ...
Investigação de métodos de seleção de atributos para problemas de classificação hierárquica multirrótulo
(Universidade Federal de São Carlos, 2023-04-06)
Classification is the task of assigning data instances to classes. In Hierarchical Multi- label Classification, instances may belong to two or more classes (labels) simultaneously, where the classes are hierarchically ...
Análise comparativa de algoritmos de construção de grafos e técnicas de incorporação de palavras na análise de sentimentos
(Universidade Federal de São Carlos, 2024-02-01)
Sentiment analysis has become a crucial tool for understanding public perception in various areas, such as marketing, politics, and social media. It allows the extraction of valuable insights from large volumes of text, ...
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 ...