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Aprendizado de máquina construtivo e classificação hierárquica multirrótulo aplicados à geração de moléculas
(Universidade Federal de São Carlos, 2023-02-09)
One of the goals of Medicinal Chemistry is to discover new molecules with drug-like characteristics, which is challenging because the search space is discrete, unstructured, and enormous. In recent years, computation has ...
Algoritmos genéticos multiobjetivo para classificação hierárquica de elementos transponíveis
(Universidade Federal de São Carlos, 2018-11-09)
In Machine Learning (ML), commonly a classification problem consists of associating an instance to only one class within an usually small number of classes. However, there are more complex problems involving dozens and ...
Classificação de retornos utilizando dados de alta frequência no mercado de bitcoins
(Universidade Federal de São Carlos, 2020-03-10)
In the cryptocurrency market, Bitcoin stands out as the most accepted traded in the world. However, due to its high volatility, the prediction of price behaviors, in special, the trend classification, becomes a challenge ...
Single, multi- and many-objective meta-heuristic algorithms applied to pattern recognition
(Universidade Federal de São Carlos, 2019-07-10)
In the last few years, metaheuristic algorithms have been used for solving several problems in engineering, biology, physics, among others, since many of them can be modeled as being optimization tasks. Metaheuristic methods ...
Análise de sentimento multiclasse: uma abordagem com o uso de aprendizado de máquina
(Universidade Federal de São Carlos, 2019-02-28)
In the globalized world, the analysis of data generated from the most varied sources, especially the textual ones, has become of great importance for the acquisition of knowledge and information. In this respect, the ...