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Perspectivas do aprendizado de máquina no ensino da Engenharia Química
(Universidade Federal de São Carlos, 2021-06-28)
Machine learning is an area of Artificial Intelligence that can predict results from a large
set of data. Therefore, many areas are already benefiting from this new technology, such as credit
analysis companies that use ...
Aprendizado não supervisionado de métricas via redução de dimensionalidade para reconhecimento de dígitos numéricos
(Universidade Federal de São Carlos, 2021-11-16)
Character recognition is a task that has occurred since the last century and is still a problem to be solved nowadays. One of the challenges is that the characters to be classified are images, therefore, they have many ...
Utilização de aprendizado supervisionado na predição da demanda de energia no processo de produção de cumeno
(Universidade Federal de São Carlos, 2021-06-29)
Data Science is a field of knowledge very requested nowadays, specially for
digital and technology industries. Despite the increasing investment in this area,
also by chemical industries, some elements of data science, ...
Incorporando correlações entre exemplos para classificação multirrótulo via espaço de classes
(Universidade Federal de São Carlos, 2021-06-22)
Multi-label classification is a machine learning task where instances can be classified into two or more labels simultaneously. In this task, there exist correlations between the instances belonging to same or similar sets ...
Árvore de predição semi-supervisionada para predição de localização subcelular de proteínas
(Universidade Federal de São Carlos, 2021-11-19)
Protein subcellular localization is a really important classification task, because the location of proteins inside a cell is directly related to these protein’s functions. As there are a lot of proteins that reside at the ...
Avaliação de métodos de construção de redes na classificação semi-supervisionada de textos
(Universidade Federal de São Carlos, 2021-11-23)
Due to the shear amount of data produced daily in text format, being it publicly on social media or privately inside enterprises, there is a growing need to analyze and extract information from them. The objective is to ...
Análise comparativa entre algoritmos de agrupamento e de detecção de comunidades em redes
(Universidade Federal de São Carlos, 2021-11-22)
Clustering is one of the most notorious Machine Learning techniques and has an infinite number of practical applications in different areas of knowledge. Understanding the types of approaches and their characteristics is ...