104 citations · 114 across the 6 of their papers we have counts for
6 papers
Understanding the main failure scenarios of subsea blowout preventers systems: An approach through Latent Semantic Analysis
Gustavo Jorge Martins de Aguiar, Ramon Baptista Narcizo, Rodolfo Cardoso +5
The blowout preventer (BOP) system is one of the most important well safety barriers during the drilling phase because it can prevent the development of blowout events. This paper…
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network
Daniel F. S. Santos, Rafael G. Pires, Danilo Colombo +1
Video segmentation consists of a frame-by-frame selection process of meaningful areas related to foreground moving objects. Some applications include traffic monitoring, human trac…
Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks
Daniel F. S. Santos, Rafael G. Pires, Danilo Colombo +1
Scene change detection is an image processing problem related to partitioning pixels of a digital image into foreground and background regions. Mostly, visual knowledge-based compu…
Gait Recognition Based on Deep Learning: A Survey
Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos +8
In general, biometry-based control systems may not rely on individual expected behavior or cooperation to operate appropriately. Instead, such systems should be aware of malicious…
Information Ranking Using Optimum-Path Forest
Nathalia Q. Ascenção, Luis C. S. Afonso, Danilo Colombo +2
The task of learning to rank has been widely studied by the machine learning community, mainly due to its use and great importance in information retrieval, data mining, and natura…
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values
Claudio Filipi Goncalves do Santos, Danilo Colombo, Mateus Roder +1
Different techniques have emerged in the deep learning scenario, such as Convolutional Neural Networks, Deep Belief Networks, and Long Short-Term Memory Networks, to cite a few. In…