Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Passos, Leandro Aparecido"'
Quality classification of wood boards is an essential task in the sawmill industry, which is still usually performed by human operators in small to median companies in developing countries. Machine learning algorithms have been successfully employed
Externí odkaz:
http://arxiv.org/abs/2310.13490
Demands for minimum parameter setup in machine learning models are desirable to avoid time-consuming optimization processes. The $k$-Nearest Neighbors is one of the most effective and straightforward models employed in numerous problems. Despite its
Externí odkaz:
http://arxiv.org/abs/2209.12647
Autor:
Passos, Leandro Aparecido, Jodas, Danilo S., Ribeiro, Luiz C. F., Akio, Marco, de Souza, Andre Nunes, Papa, João Paulo
In the last decade, machine learning-based approaches became capable of performing a wide range of complex tasks sometimes better than humans, demanding a fraction of the time. Such an advance is partially due to the exponential growth in the amount
Externí odkaz:
http://arxiv.org/abs/2202.08934
This paper proposes a novel multimodal self-supervised architecture for energy-efficient audio-visual (AV) speech enhancement that integrates Graph Neural Networks with canonical correlation analysis (CCA-GNN). The proposed approach lays its foundati
Externí odkaz:
http://arxiv.org/abs/2202.04528
Publikováno v:
Applied Soft Computing 97 (2020): 105717
Deep learning techniques, such as Deep Boltzmann Machines (DBMs), have received considerable attention over the past years due to the outstanding results concerning a variable range of domains. One of the main shortcomings of these techniques involve
Externí odkaz:
http://arxiv.org/abs/2101.05795
Autor:
Passos, Leandro Aparecido, Jodas, Danilo Samuel, Ribeiro, Luiz C. F., Pinheiro, Thierry, Papa, João P.
Breast cancer is among the most deadly diseases, distressing mostly women worldwide. Although traditional methods for detection have presented themselves as valid for the task, they still commonly present low accuracies and demand considerable time a
Externí odkaz:
http://arxiv.org/abs/2101.05775
Autor:
Roder, Mateus, Passos, Leandro Aparecido, de Rosa, Gustavo H., de Albuquerque, Victor Hugo C., Papa, João Paulo
Publikováno v:
In Applied Soft Computing Journal September 2021 108
Publikováno v:
In Applied Soft Computing Journal December 2020 97 Part B
Autor:
dos Santos, Claudio Filipi Gonçalves, Passos, Leandro Aparecido, de Santana, Marcos Cleison, Papa, João Paulo
Publikováno v:
Data Science for COVID-19
The Coronavirus Disease 2019 (COVID-19) outbreak, caused by the SARS-CoV-2 virus, surprised the whole world in an unprecedented and devastating way, resulting in almost 200,000 deaths and 2.3 million infections worldwide in less than 4 months. Moreov
Publikováno v:
Computational Science – ICCS 2020
Machine learning techniques have been massively employed in the last years over a wide variety of applications, especially those based on deep learning, which obtained state-of-the-art results in several research fields. Despite the success, such tec