Bruno Brandoli
Dalhousie University
H-index: 18
North America-Canada
Top articles of Bruno Brandoli
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Um sistema de visão computacional para reconhecimento de doenças da soja usando VANTs: resultados preliminares | Revista Caribeña de Ciencias Sociales | Everton Castelão Tetila Bruno Brandoli Machado Gercina Gonçalves da Silva Hemerson Pistori Nícolas Alessandro de Souza Belete | 2023/8/21 |
A Topological Perspective of Port Networks From Three Years (2017-2019) of AIS Data. | Emanuele Carlini Vinicius Monteiro de Lira Amilcar Soares Mohammad Etemad Bruno Brandoli | 2022 | |
From multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea | GeoInformatica | Bruno Brandoli Alessandra Raffaetà Marta Simeoni Pedram Adibi Fateha Khanam Bappee | 2022/10 |
Understanding evolution of maritime networks from automatic identification system data | GeoInformatica | Emanuele Carlini Vinicius Monteiro de Lira Amilcar Soares Mohammad Etemad Bruno Brandoli | 2022/7/1 |
Full motion focus: convolutional module for improved left ventricle segmentation over 4D MRI | Daniel M Lima Catharine V Graves Marco A Gutierrez Bruno Brandoli Jose F Rodrigues Jr | 2022/5/15 | |
AIRCRAFT FUSELAGE CORROSION DETECTION USING | Bruno Brandoli André R de Geus Jefferson R Souza Gabriel Spadon Amilcar Soares | 2022/3/8 | |
Pay attention to evolution: Time series forecasting with deep graph-evolution learning | IEEE Transactions on Pattern Analysis and Machine Intelligence | Gabriel Spadon Shenda Hong Bruno Brandoli Stan Matwin Jose F Rodrigues-Jr | 2021/4/27 |
LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks | Information Sciences | Jose F Rodrigues-Jr Marco A Gutierrez Gabriel Spadon Bruno Brandoli Sihem Amer-Yahia | 2021/2/4 |
Convolutional module for heart localization and segmentation in MRI | arXiv preprint arXiv:2107.09134 | Daniel Lima Catharine Graves Marco Gutierrez Bruno Brandoli Jose Rodrigues-Jr | 2021/7/19 |
DropLeaf: a precision farming smartphone tool for real-time quantification of pesticide application coverage | Computers and Electronics in Agriculture | Bruno Brandoli Gabriel Spadon Travis Esau Patrick Hennessy Andre CPL Carvalho | 2021/1/1 |
Dermadl: advanced convolutional neural networks for computer-aided skin-lesion classification | SN Computer Science | Daniel M Lima Jose F Rodrigues-Jr Bruno Brandoli Lorraine Goeuriot Sihem Amer-Yahia | 2021/7 |
Associative classification model for forecasting stock market trends | International Journal of Business Intelligence and Data Mining | Everton Castelão Tetila Bruno Brandoli Machado Jose F Rorigues Jr Diego A Zanoni Nícolas A De Souza Belete | 2021 |
Continuous control with deep reinforcement learning for autonomous vessels | arXiv preprint arXiv:2106.14130 | Nader Zare Bruno Brandoli Mahtab Sarvmaili Amilcar Soares Stan Matwin | 2021/6/27 |
Aircraft fuselage corrosion detection using artificial intelligence | Sensors | Bruno Brandoli André R de Geus Jefferson R Souza Gabriel Spadon Amilcar Soares | 2021/6/11 |
A class-based evaluation approach to assess multidimensional projections | Jaqueline Teixeira Wilson E Marcílio Danilo M Eler Almir Artero Bruno Brandoli | 2020/9/7 | |
DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods | arXiv preprint arXiv:2009.00453 | Bruno Brandoli Gabriel Spadon Travis Esau Patrick Hennessy Andre CPL Carvalho | 2020/8/31 |
Lig-doctor: Real-world clinical prognosis using a bi-directional neural network | Jose F Rodrigues Gabriel Spadon Bruno Brandoli Sihem Amer-Yahia | 2020/7/28 | |
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments | Mohammad Etemad Nader Zare Mahtab Sarvmaili Amılcar Soares Bruno Brandoli Machado | 2020 | |
Uncovering vessel movement patterns from AIS data with graph evolution analysis. | Emanuele Carlini Vinicius Monteiro de Lira Amilcar Soares Mohammad Etemad Bruno Brandoli Machado | 2020 | |
Detection and classification of soybean pests using deep learning with UAV images | Computers and Electronics in Agriculture | Everton Castelão Tetila Bruno Brandoli Machado Gilberto Astolfi Nícolas Alessandro de Souza Belete Willian Paraguassu Amorim | 2020/12/1 |
Co-Authors
