| 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 | 235 | 2020 |
| 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 | 185 | 2019 |
| 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 | 168 | 2017 |
| 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 | 149 | 2016 |
| 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 | 107 | 2016 |
| 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 | 67 | 2021 |
| 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 | 65 | 2019 |
| A complex network approach for dynamic texture recognition WN Gonçalves, BB Machado, OM Bruno Neurocomputing 153, 211-220, 2015 | 63 | 2015 |
| 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 | 62 | 2019 |
| 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 | 59 | 2021 |
| 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 | 52 | 2010 |
| 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 | 36 | 2020 |
| Spatiotemporal gabor filters: a new method for dynamic texture recognition WN Gonçalves, BB Machado, OM Bruno arXiv preprint arXiv:1201.3612, 2012 | 36 | 2012 |
| 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 | 33 | 2021 |
| DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage B Brandoli, G Spadon, T Esau, P Hennessy, ACPL Carvalho, ... Computers and Electronics in Agriculture 180, 105906, 2021 | 27 | 2021 |
| 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 | 27 | 2007 |
| 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 | 21 | 2013 |
| Understanding evolution of maritime networks from automatic identification system data E Carlini, VM de Lira, A Soares, M Etemad, B Brandoli, S Matwin GeoInformatica, 1-25, 2022 | 20 | 2022 |
| 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 | 20 | 2020 |
| 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 | 20 | 2018 |
Wesley Nunes GonçalvesFederal University of Mato Grosso do SulVerified email at ufms.br