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SBIdC-MPH: sistema baseado em internet das coisas para o monitoramento de pacientes com hipertensão
(Universidade Federal de São Carlos, 2022-02-09)
Noncommunicable Diseases (NCDs) are one of the greatest challenges in Health, mainly due to their magnitude and their high social cost. The four main groups of NCDs, cardiovascular diseases, Cancer, Diabetes and chronic ...
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 ...
Melhoria do tratamento de obstáculos na abordagem de agrupamento de dados espaciais SWMU clustering
(Universidade Federal de São Carlos, 2020-08-20)
The technological has been improved considerably in recent years, providing the great benefits to several areas of application. Among these areas, agriculture had a great boost, enabling the increasing of the production ...
Atividades didáticas para o ensino de computação na pré-escola
(Universidade Federal de São Carlos, 2020-12-16)
In the 21st century, various activities involve the use of or depend on computer technologies to exist. In this scenario, although children are surrounded by computing, many are still passive users, that is, they do not ...
Neural networks for feature-extraction in multi-target classification
(Universidade Federal de São Carlos, 2020-08-21)
Multi-target learning is a prediction task where each data example is associated with multiple target-variables (outputs) simultaneously. One of the challenges in this research field is related to the high dimensionality ...
Análise comparativa de benchmarks para banco de dados NoSQL orientados a grafos de propriedades
(Universidade Federal de São Carlos, 2021-07-06)
The new era of data economics, based on data sets with enormous volume, wide variety of formats, and rapid speed in data production and utilization, has brought the need for new data management structures and methods. Then ...
Análise sobre o fator temporal em tarefas de quantificação com dados textuais
(Universidade Federal de São Carlos, 2023-12-13)
The quantification task, a recently discovered field in machine learning, estimates the
class distribution of a dataset. Usually, quantification tasks are solved through classifica-
tion, an inducted classifier predicts ...
Paralelização híbrida do algoritmo Black Hole em um system on chip
(Universidade Federal de São Carlos, 2022-02-24)
Black Hole (BH) is a bioinspired metaheuristic algorithm based on the theory of relativity in which a sufficiently compact mass can deform the space-time to form a black hole, where no particles or electromagnetic radiation ...
Fuzzy approach for classification and novelty detection in data streams
(Universidade Federal de São Carlos, 2022-02-11)
Learning in data streams (DS) is a research area that seeks to extract knowledge from a large amount of continuously generated data in a short period of time. The novelty detection (ND) is responsible for identifying the ...
Uma infraestrutura computacional para a identificação de estudantes universitários com possível perfil depressivo usando dados de sensores móveis
(Universidade Federal de São Carlos, 2023-12-18)
Depression, one of the most prevalent mental disorders, significantly impacts the lives of millions worldwide. This mental disorder not only causes severe health problems but also negatively interferes with the lives of ...