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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. ...
Redução de ruído Poisson com o algoritmo BM3D utilizando distâncias estocásticas
(Universidade Federal de São Carlos, 2021-06-02)
Noise is a problem constantly present in digital images incoming from multiple sources, being important to study noise filters to improve the quality of images. When dealing with radiographic images, Poisson noise is an ...
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 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 ...
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 ...
GSA: operacionalizando a gamificação em atividades do processo de desenvolvimento de software
(Universidade Federal de São Carlos, 2021-04-22)
Context: Software development companies are constantly seeking practices that improve the execution of their activities and, consequently, their processes. Several initiatives for using gamification have been observed in ...
Architectural redesign and evaluation of an open source MLOps platform: a case study of Apache Marvin-AI
(Universidade Federal de São Carlos, 2021-07-01)
Machine learning is a term linked to data science, a multidisciplinary area that encom- passes knowledge of computer science, mathematics, and domain experience. Given this multidisciplinary nature, a wide variety of ...