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Mostrando ítems 11-20 de 21
Aplicação de aprendizado de máquina para classificação de informações em processos de roadmapping de inovação
(Universidade Federal de São Carlos, 2023-03-31)
The roadmapping process has been supported by different tools, software and, especially, data processing techniques in order to assist in the identification and extraction of strategic information. In this context, text ...
Melhorando a qos de streamig de vídeo adaptativo através de um loop de controle inteligente em redes programáveis
(Universidade Federal de São Carlos, 2024-02-08)
Video traffic constitutes a significant portion of Internet traffic, directly impacting the Quality of Service (QoS) for several applications sharing the network. Emerging on-demand video streaming technologies, like Dynamic ...
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 ...
Análise da predição da violência infantil por meio de árvores de decisão e regras de associação
(Universidade Federal de São Carlos, 2020-06-02)
According to the United Nations International Children's Emergency Fund (UNICEF), currently around 300 million children around the world suffer from various types of abuse, including: psychological, physical, sexual or ...
Conditional independence testing, two sample comparison and density estimation using neural networks
(Universidade Federal de São Carlos, 2020-08-03)
Given the vast amount of data available nowadays and the rapid increase of computational processing power, the field of machine learning and the so called algorithmic modeling have seen a recent surge in its popularity and ...
On the advances in pattern recognition using Optimum-Path Forest
(Universidade Federal de São Carlos, 2020-09-24)
Pattern recognition (PR) techniques have been paramount to solve different and complex problems in many fields of study. The basic idea behind PR techniques is to compute a model capable of classifying unknown samples. ...
Aprendizado de subcategorias para Never-ending Language Learning: uma abordagem baseada em perguntas e respostas
(Universidade Federal de São Carlos, 2021-01-08)
In recent years, ontologies have been used in information systems to index large corpora of documents or collections of facts and directly support user interaction with the system through functionalities such as navigation ...
Análise postural estática e dinâmica para a obtenção de dados em avaliação clínica
(Universidade Federal de São Carlos, 2021-02-05)
This research project makes use of kinematics for a study of the subject’s postural pattern,
through the processing of video images and with the use of a baropodometry platform. Men and
women aged between 18 and 60 years, ...
Redes neurais para grafos e suas aplicações aos sistemas complexos
(Universidade Federal de São Carlos, 2022-04-08)
Complex systems are composed of several components that interact with each other. A natural
approach for these types of systems is to use mathematical graph abstraction. In different
contexts in the real world, it is ...
Data preparation pipeline recommendation via meta-learning
(Universidade Federal de São Carlos, 2021-05-26)
Data preparation is a essential stage in the machine learning pipeline, aiming to convert noisy and disordered data into refined data compatible with the algorithms. However, data preparation is time-consuming and requires ...