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Willian Paraguassu Amorim
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2020 – today
- 2021
- [c8]Fábio Amaral Godoy da Silveira
, Everton Castelão Tetila
, Gilberto Astolfi
, Anderson Bessa Da Costa
, Willian Paraguassu Amorim
:
Performance Analysis of YOLOv3 for Real-Time Detection of Pests in Soybeans. BRACIS (2) 2021: 265-279 - 2020
- [j6]Everton Castelão Tetila, Bruno Brandoli Machado, Gilberto Astolfi, Nicolas Alessandro de Souza Belete, Willian Paraguassu Amorim, Antonia Railda Roel, Hemerson Pistori
:
Detection and classification of soybean pests using deep learning with UAV images. Comput. Electron. Agric. 179: 105836 (2020) - [j5]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
:
Automatic Recognition of Soybean Leaf Diseases Using UAV Images and Deep Convolutional Neural Networks. IEEE Geosci. Remote. Sens. Lett. 17(5): 903-907 (2020)
2010 – 2019
- 2019
- [j4]Willian Paraguassu Amorim, Everton Castelao Tetila
, Hemerson Pistori
, João Paulo Papa:
Semi-supervised learning with convolutional neural networks for UAV images automatic recognition. Comput. Electron. Agric. 164 (2019) - [j3]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
:
Semi-supervised learning with connectivity-driven convolutional neural networks. Pattern Recognit. Lett. 128: 16-22 (2019) - 2018
- [j2]Willian Paraguassu Amorim, Alexandre X. Falcão
, João P. Papa
:
Multi-label semi-supervised classification through optimum-path forest. Inf. Sci. 465: 86-104 (2018) - 2016
- [j1]Willian Paraguassu Amorim, Alexandre X. Falcão
, João P. Papa, Marcelo Henriques de Carvalho:
Improving semi-supervised learning through optimum connectivity. Pattern Recognit. 60: 72-85 (2016) - [p1]João Paulo Papa, Willian Paraguassu Amorim, Alexandre Xavier Falcão, João Manuel R. S. Tavares
:
Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning. Handbook of Pattern Recognition and Computer Vision 2016: 109-123 - 2014
- [c7]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:
Active Semi-supervised Learning Using Optimum-Path Forest. ICPR 2014: 3798-3803 - [c6]Willian Paraguassu Amorim, Alexandre Xavier Falcão
, Marcelo Henriques de Carvalho:
Semi-supervised Pattern Classification Using Optimum-Path Forest. SIBGRAPI 2014: 111-118 - 2013
- [c5]Willian Paraguassu Amorim, Marcelo Henriques de Carvalho, Valguima Victoria Viana Aguiar Odakura:
Face Recognition Using Optimum-Path Forest Local Analysis. BRACIS 2013: 242-248 - [c4]Luís A. M. Pereira, João Paulo Papa, Jurandy Almeida
, Ricardo da Silva Torres, Willian Paraguassu Amorim:
A Multiple Labeling-Based Optimum-Path Forest for Video Content Classification. SIBGRAPI 2013: 334-340 - 2012
- [c3]Willian Paraguassu Amorim, Marcelo Henriques de Carvalho:
Supervised Learning Using Local Analysis in an Optimal-Path Forest. SIBGRAPI 2012: 330-335 - 2010
- [c2]Willian Paraguassu Amorim, Hemerson Pistori
, Mauro Conti Pereira, Manuel Antonio Chagas Jacinto
:
Attributes Reduction Applied to Leather Defects Classification. SIBGRAPI 2010: 353-359
2000 – 2009
- 2006
- [c1]Hemerson Pistori, Willian Paraguassu Amorim, Priscila Silva Martins, Mauro Conti Pereira, M. A. Pereira, Manuel Antonio Chagas Jacinto:
Defect detection in raw hide and wet blue leather. CompIMAGE 2006: 355-360
Coauthor Index
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