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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 ...
Curriculum learning applied to the combined algorithm selection and hyperparameter optimization problem
(Universidade Federal de São Carlos, 2021-05-25)
AutoML has the goal to find the best Machine Learning (ML) pipeline in a complex and high dimensional search space by evaluating multiple algorithm configurations. Training multiple ML algorithms is time costly, and as ...
Towards semantic association rules mining from ontology-based semantic trajectories
(Universidade Federal de São Carlos, 2021-02-09)
Different technologies and social-cultural aspects of our lives have allowed the acquisition of people's mobility data. The same applies to other moving objects, such as birds with GPS trackers and hurricanes with real-time ...
Auditchain: um mecanismo para atestar a integridade de logs baseado na prova de existência em blockchain pública
(Universidade Federal de São Carlos, 2021-04-12)
Digital data are critical to people and companies, acting as a crucial element in the decisionmaking process in different areas. Thus, attesting to data integrity is crucial because forgery can result in significant losses. ...
Detecção de câncer de próstata em imagens de microscopia utilizando grafos de contexto glandular
(Universidade Federal de São Carlos, 2021-04-19)
Every year a large part of the male population is affected by Prostate Cancer (PCa), with many cases of deaths occurring especially in men over 40 years old. PCa is a pervasive condition that diffuses and manifests itself ...