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Aprendizado de mudança de conceito por floresta de caminhos ótimos
(Universidade Federal de São Carlos, 2020-12-17)
Classification algorithms take their decisions according to a learning process on the training set. Therefore, the data to be classified in the test set must have the same distribution as the training set to be correctly ...
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 ...
Committee of NAS-based models
(Universidade Federal de São Carlos, 2021-05-28)
Network Architecture Search (NAS) has achieved great results and generated models comparable with humans’ classifications. Automating the definition of a neural architecture reduces the need for expert work efforts and ...
ACUX: um guia para escrita de aspectos de UX em Critérios de Aceitação de User Stories
(Universidade Federal de São Carlos, 2021-04-27)
In recent years, the use of agile software development practices has expanded. In this same context, the concern with User Experience (UX) factors in the software development process has become evident, which is a differential, ...
Avaliação de geradores automáticos de dados de teste com ênfase no teste de mutação
(Universidade Federal de São Carlos, 2021-03-31)
Context: With the increasing presence of technology in daily life, it is crucial to guarantee the quality of software products, which can be reached by testing activity. However, testing is highly expensive, once it is ...
Enriquecendo a previsão de séries temporais usando informação textual
(Universidade Federal de São Carlos, 2021-02-25)
The ability to extract knowledge and forecast stock trends is crucial to mitigate investors' risks and uncertainties in the market. The stock trend is affected by non-linearity, complexity, noise, and especially the ...
Caracterização de um dataset de mobilidade dos ônibus da cidade de São Paulo
(Universidade Federal de São Carlos, 2021-01-28)
Simulation is a widely used technique for validation and testing of routing protocols in vehicular networks (VANETs). These simulations are based on mobility models that must follow the real movement patterns of vehicles ...
Detecção de postagens com informações falsas sobre a pandemia do Covid-19 na rede social Instagram
(Universidade Federal de São Carlos, 2021-07-05)
This dissertation addresses the detection of false information on Instagram, the social network
that has been growing more and more compared to other social media platforms. Because it
is a social network with multimedia ...
Onto Solar Flare - uma ontologia de domínio/aplicação sobre explosões solares sob escopo do método ECID
(Universidade Federal de São Carlos, 2020-08-14)
Solar flares are phenomena capable of causing several damages in radio systems, communication
satellites, global positioning systems (GPS), among others. The possible damage can vary
according to the intensity of the ...
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 ...