Willian Paraguassu Amorim

16 papers B 1Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2021 — conf
Performance Analysis of YOLOv3 for Real-Time Detection of Pests in Soybeans.
BRACIS (2)
Fábio Amaral Godoy da Silveira, Everton Castelão Tetila, Gilberto Astolfi, Anderson Bessa Da Costa, Willian Paraguassu Amorim
2020 J jnl
Automatic Recognition of Soybean Leaf Diseases Using UAV Images and Deep Convolutional Neural Networks.
IEEE Geosci. Remote. Sens. Lett.
Everton Castelão Tetila, Bruno Brandoli Machado, Gabriel Kirsten Menezes, Adair da Silva Oliveira Junior, Marco A. Alvarez, Willian Paraguassu Amorim, Nicolas Alessandro de Souza Belete, Gercina Gonçalves da Silva, Hemerson Pistori
2020 J jnl
Detection and classification of soybean pests using deep learning with UAV images.
Comput. Electron. Agric.
Everton Castelão Tetila, Bruno Brandoli Machado, Gilberto Astolfi, Nicolas Alessandro de Souza Belete, Willian Paraguassu Amorim, Antonia Railda Roel, Hemerson Pistori
2019 J jnl
Semi-supervised learning with connectivity-driven convolutional neural networks.
Pattern Recognit. Lett.
Willian Paraguassu Amorim, Gustavo Henrique Rosa, Rogério Thomazella, José Eduardo Cogo Castanho, Fábio Romano Lofrano Dotto, Oswaldo Pons Rodrigues Júnior, Aparecido Nilceu Marana, João Paulo Papa
2019 J jnl
Semi-supervised learning with convolutional neural networks for UAV images automatic recognition.
Comput. Electron. Agric.
Willian Paraguassu Amorim, Everton Castelao Tetila, Hemerson Pistori, João Paulo Papa
2018 J jnl
Multi-label semi-supervised classification through optimum-path forest.
Inf. Sci.
Willian Paraguassu Amorim, Alexandre X. Falcão, João P. Papa
2016 J jnl
Improving semi-supervised learning through optimum connectivity.
Pattern Recognit.
Willian Paraguassu Amorim, Alexandre X. Falcão, João P. Papa, Marcelo Henriques de Carvalho
2016 — —
Novas abordagens de aprendizado semisupervisionado por conectividade ótima
Willian Paraguassu Amorim
2016 — ch.
Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning.
Handbook of Pattern Recognition and Computer Vision
João Paulo Papa, Willian Paraguassu Amorim, Alexandre Xavier Falcão, João Manuel R. S. Tavares
2014 B conf
Active Semi-supervised Learning Using Optimum-Path Forest.
ICPR
Priscila T. M. Saito, Willian Paraguassu Amorim, Alexandre X. Falcão, Pedro Jussieu de Rezende, Celso T. N. Suzuki, Jancarlo F. Gomes, Marcelo Henriques de Carvalho
2014 — conf
Semi-supervised Pattern Classification Using Optimum-Path Forest.
SIBGRAPI
Willian Paraguassu Amorim, Alexandre Xavier Falcão, Marcelo Henriques de Carvalho
2013 — conf
A Multiple Labeling-Based Optimum-Path Forest for Video Content Classification.
SIBGRAPI
Luís A. M. Pereira, João Paulo Papa, Jurandy Almeida, Ricardo da Silva Torres, Willian Paraguassu Amorim
2013 — conf
Face Recognition Using Optimum-Path Forest Local Analysis.
BRACIS
Willian Paraguassu Amorim, Marcelo Henriques de Carvalho, Valguima Victoria Viana Aguiar Odakura
2012 — conf
Supervised Learning Using Local Analysis in an Optimal-Path Forest.
SIBGRAPI
Willian Paraguassu Amorim, Marcelo Henriques de Carvalho
2010 — conf
Attributes Reduction Applied to Leather Defects Classification.
SIBGRAPI
Willian Paraguassu Amorim, Hemerson Pistori, Mauro Conti Pereira, Manuel Antonio Chagas Jacinto
2006 — conf
Defect detection in raw hide and wet blue leather.
CompIMAGE
Hemerson Pistori, Willian Paraguassu Amorim, Priscila Silva Martins, Mauro Conti Pereira, M. A. Pereira, Manuel Antonio Chagas Jacinto