Zobrazeno 1 - 10
of 165
pro vyhledávání: '"Goncalves, Diogo"'
Autor:
Goncalves, Diogo Nunes, Junior, Jose Marcato, Zamboni, Pedro, Pistori, Hemerson, Li, Jonathan, Nogueira, Keiller, Goncalves, Wesley Nunes
Multi-task learning has proven to be effective in improving the performance of correlated tasks. Most of the existing methods use a backbone to extract initial features with independent branches for each task, and the exchange of information between
Externí odkaz:
http://arxiv.org/abs/2305.02813
Autor:
Chia, Patrick John, Attanasio, Giuseppe, Bianchi, Federico, Terragni, Silvia, Magalhães, Ana Rita, Goncalves, Diogo, Greco, Ciro, Tagliabue, Jacopo
The steady rise of online shopping goes hand in hand with the development of increasingly complex ML and NLP models. While most use cases are cast as specialized supervised learning problems, we argue that practitioners would greatly benefit from mor
Externí odkaz:
http://arxiv.org/abs/2204.03972
Product discovery is a crucial component for online shopping. However, item-to-item recommendations today do not allow users to explore changes along selected dimensions: given a query item, can a model suggest something similar but in a different co
Externí odkaz:
http://arxiv.org/abs/2204.02473
Publikováno v:
In Future Generation Computer Systems November 2024 160:739-751
Autor:
Gonçalves, Diogo Nunes, Junior, José Marcato, Arruda, Mauro dos Santos de, Fernandes, Vanessa Jordão Marcato, Ramos, Ana Paula Marques, Furuya, Danielle Elis Garcia, Osco, Lucas Prado, He, Hongjie, Jorge, Lucio André de Castro, Li, Jonathan, Melgani, Farid, Pistori, Hemerson, Gonçalves, Wesley Nunes
Publikováno v:
In Heliyon 15 June 2024 10(11)
Autor:
Ramalho, Luís D.C., Sánchez-Arce, Isidro J., Gonçalves, Diogo C., Campilho, Raul D.S.G., Belinha, Jorge
Publikováno v:
In Computers and Mathematics with Applications 1 June 2024 163:14-26
Autor:
Andriolo, Umberto, Gonçalves, Gil, Hidaka, Mitsuko, Gonçalves, Diogo, Gonçalves, Luisa Maria, Bessa, Filipa, Kako, Shin'ichiro
Publikováno v:
In Marine Pollution Bulletin May 2024 202
Autor:
Bressan, Patrik Olã, Junior, José Marcato, Martins, José Augusto Correa, Gonçalves, Diogo Nunes, Freitas, Daniel Matte, Osco, Lucas Prado, Silva, Jonathan de Andrade, Luo, Zhipeng, Li, Jonathan, Garcia, Raymundo Cordero, Gonçalves, Wesley Nunes
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation, 2022
Recently, methods based on Convolutional Neural Networks (CNN) achieved impressive success in semantic segmentation tasks. However, challenges such as the class imbalance and the uncertainty in the pixel-labeling process are not completely addressed.
Externí odkaz:
http://arxiv.org/abs/2102.04566
Autor:
de Arruda, Mauro dos Santos, Osco, Lucas Prado, Acosta, Plabiany Rodrigo, Gonçalves, Diogo Nunes, Junior, José Marcato, Ramos, Ana Paula Marques, Matsubara, Edson Takashi, Luo, Zhipeng, Li, Jonathan, Silva, Jonathan de Andrade, Gonçalves, Wesley Nunes
Publikováno v:
Expert Systems with Applications, 2022
This paper presents a Convolutional Neural Network (CNN) approach for counting and locating objects in high-density imagery. To the best of our knowledge, this is the first object counting and locating method based on a feature map enhancement and a
Externí odkaz:
http://arxiv.org/abs/2102.04366
Autor:
Gonçalves, Diogo Nunes, de Arruda, Mauro dos Santos, Pistori, Hemerson, Fernandes, Vanessa Jordão Marcato, Ramos, Ana Paula Marques, Furuya, Danielle Elis Garcia, Osco, Lucas Prado, He, Hongjie, Li, Jonathan, Junior, José Marcato, Gonçalves, Wesley Nunes
Deep learning-based networks are among the most prominent methods to learn linear patterns and extract this type of information from diverse imagery conditions. Here, we propose a deep learning approach based on graphs to detect plantation lines in U
Externí odkaz:
http://arxiv.org/abs/2102.03213