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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 ...
Método para classificação de sementes agrícolas em imagens obtidas por tomografia de raios-X em alta resolução
(Universidade Federal de São Carlos, 2020-05-20)
This research produced a method for classifying agricultural oil seeds based on tomography (CT) assays. Oilseeds may present good or poor quality for planting, the latter being related to the presence of defects associated ...
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 ...
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 ...
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 ...
Método para classificação de padrões da Lagarta do cartucho (Spodoptera frugiperda) na cultura do milho baseado em processamento de imagens digitais e aprendizado de máquina
(Universidade Federal de São Carlos, 2021-12-29)
The detection, identification, and control of the Fall Armyworm (Spodoptera frugperda) pest
into the maize culture (Zea mays) are greatly dependent on the human factor. Currently, such
control occurs mainly through the ...
Método para contagem de plantas de milho baseado no processamento digital de imagens multiespectrais utilizando Drones em ambiente de campo
(Universidade Federal de São Carlos, 2022-03-15)
The processing of multispectral images acquired with an embedded camera in unmanned aerial vehicles (Drones) has brought new opportunities for precision agriculture. In such a context, this work presents a method for ...
Quantificação da tortuosidade de vasos sanguíneos: definições e influência das etapas de realce e segmentação
(Universidade Federal de São Carlos, 2021-11-08)
Morphological features of blood vessels can be used as markers of several pathologies affecting the tissues of organisms. Among these features, tortuosity displays a vital role in the study and diagnostic of conditions ...