César Castelo-Fernández

According to our database, César Castelo-Fernández authored at least 9 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Preserving Privacy, Enhancing Robustness: Federated Learning for Lung Disease Identification in Chest X-Ray Images.

Weld Lucas Cunha, César Castelo-Fernández, Rafael Simionato, Matheus Soares de Lacerda, Samuel Botter Martins

Proceedings of the Intelligent Systems - 34th Brazilian Conference, 2024

2020

An efficient parallel implementation for training supervised optimum-path forest classifiers.

Aldo Culquicondor, Alexandro Baldassin, César Castelo-Fernández, João P. L. de Carvalho, João Paulo Papa

Neurocomputing, 2020

An Approach for Asbestos-related Pleural Plaque Detection.

Azael de Melo e Sousa, César Castelo-Fernández, Daniel Osaku, Ericson Bagatin, Fabiano Reis, Alexandre X. Falcão

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Improving Supervised Superpixel-Based Codebook Representations by Local Convolutional Features.

César Castelo-Fernández, Alexandre X. Falcão

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Learning Visual Dictionaries from Class-Specific Superpixel Segmentation.

César Castelo-Fernández, Alexandre X. Falcão

Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Graph-Based Image Segmentation Using Dynamic Trees.

Jordão Bragantini, Samuel Botter Martins, César Castelo-Fernández, Alexandre Xavier Falcão

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2016

A New Parallel Training Algorithm for Optimum-Path Forest-Based Learning.

Aldo Culquicondor, César Castelo-Fernández, João Paulo Papa

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2015

Automatic Video Summarization Using the Optimum-Path Forest Unsupervised Classifier.

César Castelo-Fernández, Guillermo Calderón-Ruiz

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2010

Improving the Accuracy of the Optimum-Path Forest Supervised Classifier for Large Datasets.

César Castelo-Fernández, Pedro J. de Rezende, Alexandre X. Falcão, João Paulo Papa

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010