Bruno Brandoli
Bruno Brandoli
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Cited by
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
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
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
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
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
A complex network approach for dynamic texture recognition
WN Gonçalves, BB Machado, OM Bruno
Neurocomputing 153, 211-220, 2015
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
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
Spatiotemporal gabor filters: a new method for dynamic texture recognition
WN Gonçalves, BB Machado, OM Bruno
arXiv preprint arXiv:1201.3612, 2012
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
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
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5368-5384, 2021
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
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
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
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
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
Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial …, 2020
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
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
Aircraft fuselage corrosion detection using artificial intelligence
B Brandoli, AR de Geus, JR Souza, G Spadon, A Soares, JF Rodrigues Jr, ...
Sensors 21 (12), 4026, 2021
A smartphone application to measure the quality of pest control spraying machines via image analysis
BB Machado, G Spadon, MS Arruda, WN Goncalves, AC Carvalho, ...
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 956-963, 2018
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