Bruno Brandoli Machado

According to our database, Bruno Brandoli Machado authored at least 48 papers between 2007 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning.

Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Understanding evolution of maritime networks from automatic identification system data.

Emanuele Carlini, Vinicius Monteiro de Lira, Amílcar Soares, Mohammad Etemad, Bruno Brandoli, Stan Matwin

GeoInformatica, 2022

From multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea.

Bruno Brandoli, Alessandra Raffaetà, Marta Simeoni, Pedram Adibi, Fateha Khanam Bappee, Fabio Pranovi, Giulia Rovinelli, Elisabetta Russo, Claudio Silvestri, Amílcar Soares, Stan Matwin

GeoInformatica, 2022

A Topological Perspective of Port Networks From Three Years (2017-2019) of AIS Data.

Emanuele Carlini, Vinicius Monteiro de Lira, Amílcar Soares, Mohammad Etemad, Bruno Brandoli, Stan Matwin

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Full Motion Focus: Convolutional Module for Improved Left Ventricle Segmentation Over 4D MRI.

Daniel Mario de Lima, Catharine V. Graves, Marco A. Gutierrez, Bruno Brandoli, José F. Rodrigues Jr.

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

2021

DermaDL: Advanced Convolutional Neural Networks for Computer-Aided Skin-Lesion Classification.

Daniel Mario de Lima, José F. Rodrigues Jr., Bruno Brandoli, Lorraine Goeuriot, Sihem Amer-Yahia

SN Comput. Sci., 2021

Aircraft Fuselage Corrosion Detection Using Artificial Intelligence.

Bruno Brandoli, André R. de Geus, Jefferson R. Souza, Gabriel Spadon, Amílcar Soares Júnior, José F. Rodrigues Jr., Jerzy Komorowski, Stan Matwin

Sensors, 2021

LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks.

José F. Rodrigues Jr., Marco A. Gutierrez, Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia

Inf. Sci., 2021

Associative classification model for forecasting stock market trends.

Everton Castelão Tetila, Bruno Brandoli Machado, Jose F. Rorigues Jr., Diego A. Zanoni, Nicolas Alessandro de Souza Belete, Thayliny Zardo, Michel Constantino, Hemerson Pistori

Int. J. Bus. Intell. Data Min., 2021

Convolutional module for heart localization and segmentation in MRI.

Daniel Mario de Lima, Catharine V. Graves, Marco A. Gutierrez, Bruno Brandoli, José Fernando Rodrigues Jr.

CoRR, 2021

Continuous Control with Deep Reinforcement Learning for Autonomous Vessels.

Nader Zare, Bruno Brandoli, Mahtab Sarvmaili, Amílcar Soares, Stan Matwin

CoRR, 2021

DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage.

Bruno Brandoli, Gabriel Spadon, Travis J. Esau, Patrick Hennessy, André C. P. L. F. de Carvalho, Sihem Amer-Yahia, José F. Rodrigues Jr.

Comput. Electron. Agric., 2021

2020

Automatic Recognition of Soybean Leaf Diseases Using UAV Images and Deep Convolutional Neural Networks.

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

IEEE Geosci. Remote. Sens. Lett., 2020

A Deep-Learning Approach for Automatic Counting of Soybean Insect Pests.

Everton Castelão Tetila, Bruno Brandoli Machado, Geazy Vilharva Menezes, Nicolas Alessandro de Souza Belete, Gilberto Astolfi, Hemerson Pistori

IEEE Geosci. Remote. Sens. Lett., 2020

DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods.

Bruno Brandoli, Gabriel Spadon, Travis J. Esau, Patrick Hennessy, André C. P. L. F. de Carvalho, José F. Rodrigues Jr., Sihem Amer-Yahia

CoRR, 2020

Detection and classification of soybean pests using deep learning with UAV images.

Everton Castelão Tetila, Bruno Brandoli Machado, Gilberto Astolfi, Nicolas Alessandro de Souza Belete, Willian Paraguassu Amorim, Antonia Railda Roel, Hemerson Pistori

Comput. Electron. Agric., 2020

A class-based evaluation approach to assess multidimensional projections.

Jaqueline Teixeira, Wilson Estécio Marcílio, Danilo Medeiros Eler, Almir O. Artero, Bruno Brandoli

Proceedings of the 24th International Conference on Information Visualisation, 2020

Uncovering vessel movement patterns from AIS data with graph evolution analysis.

Emanuele Carlini, Vinicius Monteiro de Lira, Amílcar Soares Júnior, Mohammad Etemad, Bruno Brandoli Machado, Stan Matwin

Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020

Lig-Doctor: Real-World Clinical Prognosis using a Bi-Directional Neural Network.

José F. Rodrigues Jr., Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

DermaDL: Advanced Convolutional Neural Networks for Automated Melanoma Detection.

José F. Rodrigues Jr., Bruno Brandoli, Sihem Amer-Yahia

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning.

Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Bruno Brandoli, Stan Matwin

Proceedings of the Advances in Artificial Intelligence, 2020

Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments.

Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amílcar Soares Júnior, Bruno Brandoli Machado, Stan Matwin

Proceedings of the Advances in Artificial Intelligence, 2020

2019

Detecting multi-scale distance-based inconsistencies in cities through complex-networks.

Gabriel Spadon, Bruno Brandoli, Danilo Medeiros Eler, José F. Rodrigues Jr.

J. Comput. Sci., 2019

Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls.

José F. Rodrigues Jr., Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia

CoRR, 2019

Estimating soybean leaf defoliation using convolutional neural networks and synthetic images.

Lucas Abreu da Silva, Patrik Olã Bressan, Diogo Nunes Gonçalves, Daniel Matte Freitas, Bruno Brandoli Machado, Wesley Nunes Gonçalves

Comput. Electron. Agric., 2019

2018

A smartphone application to measure the quality of pest control spraying machines via image analysis.

Bruno Brandoli Machado, Gabriel Spadon, Mauro S. Arruda, Wesley Nunes Gonçalves, André C. P. L. F. de Carvalho, José F. Rodrigues Jr.

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Recognition of Endangered Pantanal Animal Species using Deep Learning Methods.

Mauro dos Santos de Arruda, Gabriel Spadon, José F. Rodrigues Jr., Wesley Nunes Gonçalves, Bruno Brandoli Machado

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Distance-Based Tool-Set to Track Inconsistent Urban Structures Through Complex-Networks.

Gabriel Spadon, Bruno Brandoli Machado, Danilo Medeiros Eler, José F. Rodrigues Jr.

Proceedings of the Computational Science - ICCS 2018, 2018

2017

Identification of Soybean Foliar Diseases Using Unmanned Aerial Vehicle Images.

Everton Castelao Tetila, Bruno Brandoli Machado, Nicolas Alessandro de Souza Belete, David Augusto Guimaraes, Hemerson Pistori

IEEE Geosci. Remote. Sens. Lett., 2017

Angular descriptors of complex networks: A novel approach for boundary shape analysis.

Leonardo F. S. Scabini, Danilo O. Fistarol, Sávio Vinícius Albieri Barone Cantero, Wesley Nunes Gonçalves, Bruno Brandoli Machado, José F. Rodrigues Jr.

Expert Syst. Appl., 2017

Behavioral Characterization of Criminality Spread in Cities.

Gabriel Spadon, Lucas C. Scabora, Paulo H. Oliveira, Marcus V. S. Araujo, Bruno Brandoli Machado, Elaine P. M. de Sousa, Caetano Traina Jr., José F. Rodrigues Jr.

Proceedings of the International Conference on Computational Science, 2017

2016

Análise de texturas usando sistemas complexos: dimensão fractal, multiagentes e difusão não-linear.

Bruno Brandoli Machado

PhD thesis, 2016

Complex Network Tools to Understand the Behavior of Criminality in Urban Areas.

Gabriel Spadon, Lucas C. Scabora, Marcus V. S. Araujo, Paulo H. Oliveira, Bruno Brandoli Machado, Elaine P. M. de Sousa, Caetano Traina Jr., José F. Rodrigues Jr.

CoRR, 2016

Local descriptors for soybean disease recognition.

Rillian Diello Lucas Pires, Diogo Nunes Gonçalves, Jonatan Patrick Margarido Oruê, Wesley Eiji Sanches Kanashiro, José F. Rodrigues Jr., Bruno Brandoli Machado, Wesley Nunes Gonçalves

Comput. Electron. Agric., 2016

BioLeaf: A professional mobile application to measure foliar damage caused by insect herbivory.

Bruno Brandoli Machado, Jonatan Patrick Oruê, Mauro S. Arruda, Cleidimar Santos, Diogo Sarath, Wesley Nunes Gonçalves, Gercina Gonçalves da Silva, Hemerson Pistori, Antonia Railda Roel, José F. Rodrigues Jr.

Comput. Electron. Agric., 2016

2015

A complex network approach for dynamic texture recognition.

Wesley Nunes Gonçalves, Bruno Brandoli Machado, Odemir Martinez Bruno

Neurocomputing, 2015

2013

Material quality assessment of silk nanofibers based on swarm intelligence

Bruno Brandoli Machado, Wesley Nunes Gonçalves, Odemir Martinez Bruno

CoRR, 2013

Texture descriptor combining fractal dimension and artificial crawlers.

Wesley Nunes Gonçalves, Bruno Brandoli Machado, Odemir Martinez Bruno

CoRR, 2013

2012

Image decomposition with anisotropic diffusion applied to leaf-texture analysis

Bruno Brandoli Machado, Wesley Nunes Gonçalves, Odemir Martinez Bruno

CoRR, 2012

Spatiotemporal Gabor filters: a new method for dynamic texture recognition

Wesley Nunes Gonçalves, Bruno Brandoli Machado, Odemir Martinez Bruno

CoRR, 2012

2011

Enhancing the Texture Attribute with Partial Differential Equations: A Case of Study with Gabor Filters.

Bruno Brandoli Machado, Wesley Nunes Gonçalves, Odemir Martinez Bruno

Proceedings of the Advances Concepts for Intelligent Vision Systems, 2011

2010

Mice and larvae tracking using a particle filter with an auto-adjustable observation model.

Hemerson Pistori, Valguima Victoria Viana Aguiar Odakura, João Bosco Oliveira Monteiro, Wesley Nunes Gonçalves, Antonia Railda Roel, Jonathan de Andrade Silva, Bruno Brandoli Machado

Pattern Recognit. Lett., 2010

Visual Data Exploration to Feature Space Definition.

Bruno Brandoli, Danilo Medeiros Eler, Fernando Vieira Paulovich, Rosane Minghim, João Batista Neto

Proceedings of the SIBGRAPI 2010, 2010

Cloth Simulation Using AABB Hierarchies and GPU Parallelism.

Frizzi Alejandra San Roman Salazar, Bruno Brandoli Machado, Alexander Victor Ocsa Mamani, Maria Cristina Ferreira de Oliveira

Proceedings of the 2010 Brazilian Symposium on Games and Digital Entertainment, 2010

Comparison of Shape Descriptors for Mice Behavior Recognition.

Jonathan de Andrade Silva, Wesley Nunes Gonçalves, Bruno Brandoli Machado, Hemerson Pistori, Albert Schiaveto de Souza, Kleber Padovani de Souza

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

Silhouette-based feature selection for classification of medical images.

Sérgio Francisco da Silva, Bruno Brandoli, Danilo Medeiros Eler, João Batista Neto, Agma J. M. Traina

Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

2007

Multiple Mice Tracking using a Combination of Particle Filter and K-Means.

Wesley Nunes Gonçalves, João Bosco Oliveira Monteiro, Jonathan de Andrade Silva, Bruno Brandoli Machado, Hemerson Pistori, Valguima Odakura

Proceedings of the SIBGRAPI 2007, 2007

Hidden Markov Models Applied to Snakes Behavior Identification.

Wesley Nunes Gonçalves, Jonathan de Andrade Silva, Bruno Brandoli Machado, Hemerson Pistori, Albert Schiaveto de Souza

Proceedings of the Advances in Image and Video Technology, Second Pacific Rim Symposium, 2007