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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 ...
Conversing learning: applying the wisdom of crowds to assist never ending learning tasks
(Universidade Federal de São Carlos, 2013-09-21)
In Machine Learning systems we often apply techniques are often applied to learn about real world problems behavior from data. Traditionally, such data comes from instances of datasets (that represents the target problem) ...
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 ...
Análise de uma implementação distribuída do algoritmo de detecção de novidade em fluxos de Dados MINAS para detecção de intrusão em um ambiente de névoa
(Universidade Federal de São Carlos, 2021-07-05)
The ongoing implementation of the Internet of Things (IoT) is sharply increasing
the number and variety of small devices on edge networks.
Likewise, the attack opportunities for hostile agents also grows, requiring ...
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 ...