50 citations · 77 across the 9 of their papers we have counts for
9 papers
On tuning a mean-field model for semi-supervised classification
Emílio Bergamim, Fabricio Breve
Semi-supervised learning (SSL) has become an interesting research area due to its capacity for learning in scenarios where both labeled and unlabeled data are available. In this wo…
Model-agnostic interpretation by visualization of feature perturbations
Wilson E. Marcílio-Jr, Danilo M. Eler, Fabrício Breve
Interpretation of machine learning models has become one of the most important research topics due to the necessity of maintaining control and avoiding bias in these algorithms. Si…
Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach
Jefferson Antonio Ribeiro Passerini, Fabricio Aparecido Breve
In the interactive image segmentation task, the Particle Competition and Cooperation (PCC) model is fed with a complex network, which is built from the input image. In the network…
Visually Impaired Aid using Convolutional Neural Networks, Transfer Learning, and Particle Competition and Cooperation
Fabricio Breve, Carlos Norberto Fischer
Navigation and mobility are some of the major problems faced by visually impaired people in their daily lives. Advances in computer vision led to the proposal of some navigation sy…
Building Networks for Image Segmentation using Particle Competition and Cooperation
Fabricio Breve
Particle competition and cooperation (PCC) is a graph-based semi-supervised learning approach. When PCC is applied to interactive image segmentation tasks, pixels are converted int…
Simple Interactive Image Segmentation using Label Propagation through kNN graphs
Fabricio Aparecido Breve
Many interactive image segmentation techniques are based on semi-supervised learning. The user may label some pixels from each object and the SSL algorithm will propagate the label…
Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection
Fabricio A Breve, Marcos G Quiles, Liang Zhao +1
Object selection refers to the mechanism of extracting objects of interest while ignoring other objects and background in a given visual scene. It is a fundamental issue for many c…
Particle Competition and Cooperation for Semi-Supervised Learning with Label Noise
Fabricio Aparecido Breve, Liang Zhao, Marcos Gonçalves Quiles
Semi-supervised learning methods are usually employed in the classification of data sets where only a small subset of the data items is labeled. In these scenarios, label noise is…
Interactive Image Segmentation using Label Propagation through Complex Networks
Fabricio Aparecido Breve
Interactive image segmentation is a topic of many studies in image processing. In a conventional approach, a user marks some pixels of the object(s) of interest and background, and…