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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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