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Bruno Brandoli
Bruno Brandoli
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Ano
Identification of soybean foliar diseases using unmanned aerial vehicle images
EC Tetila, BB Machado, NA Belete, DA Guimarães, H Pistori
IEEE Geoscience and remote sensing letters 14 (12), 2190-2194, 2017
1012017
BioLeaf: A professional mobile application to measure foliar damage caused by insect herbivory
BB Machado, JPM Orue, MS Arruda, CV Santos, DS Sarath, ...
Computers and electronics in agriculture 129, 44-55, 2016
732016
Automatic recognition of soybean leaf diseases using UAV images and deep convolutional neural networks
EC Tetila, BB Machado, GK Menezes, AS Oliveira, M Alvarez, WP Amorim, ...
IEEE geoscience and remote sensing letters 17 (5), 903-907, 2019
712019
Local descriptors for soybean disease recognition
RDL Pires, DN Gonçalves, JPM Oruê, WES Kanashiro, JF Rodrigues Jr, ...
Computers and Electronics in Agriculture 125, 48-55, 2016
702016
Mice and larvae tracking using a particle filter with an auto-adjustable observation model
H Pistori, VVVA Odakura, JBO Monteiro, WN Gonçalves, AR Roel, ...
Pattern Recognition Letters 31 (4), 337-346, 2010
502010
A complex network approach for dynamic texture recognition
WN Gonçalves, BB Machado, OM Bruno
Neurocomputing 153, 211-220, 2015
472015
Detection and classification of soybean pests using deep learning with UAV images
EC Tetila, BB Machado, G Astolfi, NA de Souza Belete, WP Amorim, ...
Computers and Electronics in Agriculture 179, 105836, 2020
422020
Estimating soybean leaf defoliation using convolutional neural networks and synthetic images
LA da Silva, PO Bressan, DN Gonçalves, DM Freitas, BB Machado, ...
Computers and electronics in agriculture 156, 360-368, 2019
362019
Spatiotemporal gabor filters: a new method for dynamic texture recognition
WN Gonçalves, BB Machado, OM Bruno
arXiv preprint arXiv:1201.3612, 2012
332012
Multiple mice tracking using a combination of particle filter and k-means
WN Gonçalves, JBO Monteiro, J de Andrade Silva, BB Machado, H Pistori, ...
XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI …, 2007
272007
Texture descriptor combining fractal dimension and artificial crawlers
WN Gonçalves, BB Machado, OM Bruno
Physica A: Statistical Mechanics and its Applications 395, 358-370, 2014
192014
Partial differential equations and fractal analysis to plant leaf identification
BB Machado, D Casanova, WN Gonçalves, OM Bruno
Journal of Physics: Conference Series 410 (1), 012066, 2013
192013
Pay attention to evolution: Time series forecasting with deep graph-evolution learning
G Spadon, S Hong, B Brandoli, S Matwin, JF Rodrigues-Jr, J Sun
arXiv preprint arXiv:2008.12833, 2020
132020
Uncovering vessel movement patterns from AIS data with graph evolution analysis.
E Carlini, VM de Lira, AS Júnior, M Etemad, BB Machado, S Matwin
EDBT/ICDT Workshops 1, 2020
122020
A deep-learning approach for automatic counting of soybean insect pests
EC Tetila, BB Machado, GV Menezes, NA de Souza Belete, G Astolfi, ...
IEEE Geoscience and Remote Sensing Letters 17 (10), 1837-1841, 2019
122019
Angular descriptors of complex networks: A novel approach for boundary shape analysis
LFS Scabini, DO Fistarol, SV Cantero, WN Gonçalves, BB Machado, ...
Expert Systems with Applications 89, 362-373, 2017
122017
Challenges in vessel behavior and anomaly detection: From classical machine learning to deep learning
L May Petry, A Soares, V Bogorny, B Brandoli, S Matwin
Canadian Conference on Artificial Intelligence, 401-407, 2020
112020
Topolino: Software Livre para Automatizaç ao do Experimento do Campo Aberto
BB Machado, J de Andrade Silva, WN Gonçalves, H Pistori, AS de Souza
112006
LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks
JF Rodrigues-Jr, MA Gutierrez, G Spadon, B Brandoli, S Amer-Yahia
Information Sciences 545, 813-827, 2021
102021
Recognition of endangered pantanal animal species using deep learning methods
MS de Arruda, G Spadon, JF Rodrigues, WN Gonçalves, BB Machado
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
102018
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