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Métodos de aprendizado ativo
(Universidade Federal de São Carlos, 2022-04-12)
In the field of supervised learning, the good performance of a prediction model is generally tied to the presence of a large labelled training set. However, there are many situations where labelling an instance is expensive ...
Uma abordagem estatística sobre a estimação de redshifts de quasares usando dados do S-PLUS
(Universidade Federal de São Carlos, 2022-09-08)
Redshift is a cosmic index used to measure distances to astronomical objects. The study of this quantity is important for the understanding of the expansion of the Universe and the current objective of the stars, according ...
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 ...
Um estudo sobre os impactos de algumas medidas sanitárias na incidência e mortalidade por COVID-19
(Universidade Federal de São Carlos, 2022-04-07)
Since March 2020, Brazil, like the whole world, has been facing a major pandemic caused by COVID-19 (SARS-CoV-2). COVID-19 is a highly transmissible respiratory infection and for this reason governments around the world ...
Estudo e comparação das técnicas de validação cruzada desenvolvidas para séries temporais
(Universidade Federal de São Carlos, 2022-04-18)
Testing the generalization capacity of an algorithm obtained is crucial for any prediction methodology, for which cross-validation methods were developed. However, when dealing with data that have dependency among observations, ...
Árvores hibridas: particionamento recursivo baseado em modelos paramétricos
(Universidade Federal de São Carlos, 2022-04-12)
The present study seeks to explore hybrid trees, so called called recursive partitioning based on parametric models. Such method is based on traditional decision trees (regression and classification tree) and parametric ...
Um estudo sobre a provisão de consórcio com séries temporais e machine learning
(Universidade Federal de São Carlos, 2022-04-07)
The consortium sector of a particular company works by dividing its customers into groups that start and finish at the same time the payment of installments of a combined amount to obtain their own vehicle. The acquisition ...
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 ...
Análise, seleção e agrupamento de características relevantes das equipes da NFL durante os anos de 2013-2016 e suas relações - um estudo de caso
(Universidade Federal de São Carlos, 2022-09-14)
On this work, the study of different NFL (National Football League) variables was proposed, with the main goal of analysing, selecting and clustering their characteristics and its correlations. Data on the official NFL ...
Modelagem de fração cura com a distribuição Gompertz
(Universidade Federal de São Carlos, 2022-09-06)
Survival Analysis is a broad and crucial field of Statistical Science.
Survival models are useful for estimating the reliability function, describe data properties and more.
Considering medical studies, the aim is ...