I had a paper accepted at Expert Systems With Applications:
- BREVE, Fabricio Aparecido. COVID-19 Detection on Chest X-Ray Images: A comparison of CNN architectures and ensembles. Expert Systems with Applications, 2022. (Accepted for Publication)
I had a paper accepted at Expert Systems With Applications:
Permanent link to this article: https://www.fabriciobreve.com/2022/05/09/paper-accepted-expert-systems-with-applications-2/
We had a paper accepted at the Journal of Statistical Mechanics: Theory and Experiment:
The preprint is available here.
Congratulations to Emílio!
Permanent link to this article: https://www.fabriciobreve.com/2022/05/06/paper-accepted-at-the-journal-of-statistical-mechanics-theory-and-experiment/
Está disponível a primeira aula do curso de Sistemas Operacionais II, com uma Introdução ao sistema operacional Linux:
Confira no Youtube:
Permanent link to this article: https://www.fabriciobreve.com/2021/04/26/linux-introducao-sistemas-operacionais-ii/
No segundo semestre de 2020, por conta da pandemia e impossibilidade de aulas presenciais, as aulas expositivas da disciplina Redes de Computadores do curso Bacharelado em Ciência da Computação foram gravadas e disponibilizadas online.
Estou disponibilizando esses vídeos para todos que desejarem aprender com este material. Espero que seja útil. São mais de 32 horas, divididas em 8 vídeos (tópicos) que estão nesta playlist:
Este material está sendo disponibilizado apenas com o objetivo de compartilhar conhecimento e, naturalmente, não oferece créditos em cursos ou disciplinas de qualquer instituição.
Permanent link to this article: https://www.fabriciobreve.com/2021/03/03/redes-de-computadores-aulas-online-gratuitas/
We had two papers accepted at The 20th International Conference on Computational Science and its Applications (ICCSA 2020):
Preprints are available in the publications section.
Congratulations to Jefferson and Guilherme!
Permanent link to this article: https://www.fabriciobreve.com/2020/06/24/two-papers-accepted-iccsa-2020/
Permanent link to this article: https://www.fabriciobreve.com/2020/03/25/two-papers-accepted-wcci-2020-ijcnn-2020-and-ieee-cec-2020/
MSc Caio Carneloz made his Python implementation of the Particle Competition and Cooperation (PCC) model available on GitHub (pycc). Check it out if you want to use the algorithm on your data.
The MATLAB implementation is also available on GitHub, including a version with the main loop compiled in C (MEX) for faster execution.
Other articles and their respective implementation are available in the Publications section. If you need the code for the algorithms in other articles that are not available yet, please contact me and I’ll do my best to make it available as soon as possible.
Permanent link to this article: https://www.fabriciobreve.com/2019/12/05/particle-competiton-and-cooperation-pcc-python-implementation/
The paper “Auxílio no diagnóstico da doença de Alzheimer a partir de imagens de ressonância magnética utilizando competição e cooperação entre partículas” (“Diagnostic aid for Alzheimer’s disease from magnetic resonance imaging using particle competition and cooperation”) authored by Caio Oliveira Carneloz and Fabricio Aparecido Breve received the award of Best Paper presented at the IX Workshop do Programa de Pós-Graduação em Ciência da Computação da Unesp (WPPGCC 2019), which took place at Bauru-SP last week.
Congratulations Caio! Keep up with the good work!
Permanent link to this article: https://www.fabriciobreve.com/2019/09/13/best-paper-award-wppgcc2019/
Last friday, the MSc student Caio Oliveira Carneloz defended his master’s thesis entitled “Auxílio no diagnóstico da doença de Alzheimer a partir de imagens de ressonância magnética utilizando competição e cooperação entre partículas” (“Diagnostic aid for Alzheimer’s disease from magnetic resonance imaging using particle competition and cooperation”), and he was approved. Congratulations, Caio!
In his work, he presents a semi-supervised approach to classify patients with Alzheimer’s disease from brain imaging, using the particle competition and cooperation model. In order to deal with images, feature extractors from general-purpose descriptors and pre-trained deep learning networks were used. The experiments were performed using the Open Access Series of Imaging Studies (OASIS) database. To evaluate the performance of the particle competition and cooperation model, its results were compared to those achieved by the SVM, kNN, Naive Bayes, Label Propagation and Label Spreading algorithms. The results have shown that this approach is promising and behaves as expected regarding the use of labeled data, i.e., the particle competition and cooperation model needs less labeled data, as it takes advantage of its semi-supervised learning approach.
Thanks to Prof. Dr. João Roberto Bertini Júnior (UNICAMP) and Prof. Dr. Danilo Medeiros Eler (UNESP) for their participation in the examination committee, and their valuable comments and suggestions.
Permanent link to this article: https://www.fabriciobreve.com/2019/09/10/congratulations-caio/
Today, the MSc student Jefferson Antonio Ribeiro Passerini defended his master’s thesis entitled “Segmentação Interativa de Imagens usando Redes Complexas e Competição e Cooperação entre Partículas” (“Interactive Image Segmentation using Complex Networks and Particle Competition and Cooperation”), and he was approved. Congratulations, Jefferson!
In his work, he proposed some improvements on the method to build complex networks representing real-world images. These networks are fed to the particle competition and cooperation model, so it may segment the corresponding images. Jefferson’s method achieves higher accuracy and lower execution times than the original method in interactive image segmentation tasks.
Thanks to Prof. Dr. Fernando Vernal Salina (IFSP) and Prof. Dr. Eraldo Pereira Marinho (UNESP) for their participation in the examination committee, and their valuable comments and suggestions.
Permanent link to this article: https://www.fabriciobreve.com/2019/01/30/congratulations-jefferson/