3 papers
cs.LG2026
Particle Competition and Cooperation for Robust Graph Convolutional Network Learning Under Label Noise
Fabricio Breve
Graph Convolutional Networks (GCNs) are highly sensitive to label noise, since corrupted supervision can propagate through the graph and degrade learned node representations. This…
cs.CV2023
From Pixels to Titles: Video Game Identification by Screenshots using Convolutional Neural Networks
Fabricio Breve
This paper investigates video game identification through single screenshots, utilizing ten convolutional neural network (CNN) architectures (VGG16, ResNet50, ResNet152, MobileNet,…
cs.LG2020
Segmentação de imagens utilizando competição e cooperação entre partículas
Bárbara Ribeiro da Silva, Fabricio Aparecido Breve
This paper presents an extension proposal of the semi-supervised learning method known as Particle Competition and Cooperation for carrying out tasks of image segmentation. Prelimi…