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Uma abordagem de otimização utilizando Algoritmo Genético com estratégias de busca local e melhoramento genético para minimização do makespan no problema de programação da produção job shop
(Universidade Federal de São Carlos, 2021-11-12)
Many works nowadays use metaheuristics to deal with the class of problems known in the literature as Job Shop Scheduling Problem (JSSP) due to its complexity since it consists of combinatorial problems and belongs to the ...
Improving data locality of bagging ensembles for data streams through mini-batching
(Universidade Federal de São Carlos, 2021-08-27)
Machine Learning techniques have been employed in virtually all domains in the past few years. In many applications, learning algorithms will have to cope with dynamic environments, under both memory and time constraints, ...
Uma arquitetura não intrusiva e reativa para realizar o processo ETL em tempo real em ambientes de data warehousing
(Universidade Federal de São Carlos, 2021-12-20)
There is a great interest in obtaining data that support the decision-making process in business. These data are available in data sources in the operational environment, which are autonomous, heterogeneous, and distributed. ...
Detecção e classificação automáticas de alterações estruturais cerebrais em imagens de ressonância magnética para o auxílio ao diagnóstico do Alzheimer
(Universidade Federal de São Carlos, 2021-09-21)
Alzheimer's disease is a progressive and irreversible neurodegenerative condition with development characterized by asymmetrical brain atrophies. Across life, due to neuronal aging, a cognitively healthy brain presents ...
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 ...
Optimum-path forest in support of collaborative filtering
(Universidade Federal de São Carlos, 2023-12-07)
Machine learning algorithms are being applied in various computational challenges, among which Recommender Systems (RS) present a range of techniques and approaches to effectively manage large volumes of data and provide ...
Planejamento de trajetória explorativa e informativa para monitoramento de ambientes desconhecidos com UAV: uma abordagem BO-POMDP
(Universidade Federal de São Carlos, 2023-10-31)
Unmanned Aerial Vehicles (UAVs) have been used for several applications in monitoring complex and unknown environments. The challenge is to plan missions for the UAV where the vehicle needs to visit and explore an area and ...
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 ...