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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 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 ...
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 ...
Auto-treinamento com ruído utilizando data augmentations para tarefas de detecção de comentários ofensivos e discurso de ódio
(Universidade Federal de São Carlos, 2024-07-16)
Online social media is rife with offensive and hateful comments, necessitating the development of automated detection systems to manage the vast volume of posts generated every second. Creating high-quality human-labeled ...
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 ...
Rahl – a new residual-based adaptive Huber loss function for CQI prediction in 5G networks
(Universidade Federal de São Carlos, 2024-09-19)
The evolution of data consumption patterns, increasingly decentralized from human behavior, has exerted pressure on the transmission resources within the current mobile network infrastructure. In response to this challenge, ...
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 ...
Uma avaliação experimental entre MongoDB e Mongochain utilizando o benchmark YCSB+T
(Universidade Federal de São Carlos, 2024-04-04)
The Atomicity, Consistency, Isolation and Durability (ACID) properties found in a Database Management System (DBMS) are normally related to relational Databases (DB). On the other hand, the emergence of the Not Just SQL ...