no code implementations • 8 Jan 2024 • Marcus Vinicius Borela de Castro, Remis Balaniuk
The application of best practices and their benefits is illustrated in a project called 'Cladop' that was created for the classification of PDF documents associated with the investigative process of damages to the Brazilian Federal Public Treasury.
1 code implementation • 2 Jul 2020 • Remis Balaniuk, Olga Isupova, Steven Reece
This work explores the combination of free cloud computing, free open-source software, and deep learning methods to analyse a real, large-scale problem: the automatic country-wide identification and classification of surface mines and mining tailings dams in Brazil.
1 code implementation • 17 Mar 2020 • Edemir Ferreira, Matheus Brito, Remis Balaniuk, Mário S. Alvim, Jefersson A. dos Santos
In the experiments, we achieved an average classification accuracy of 94. 11% in tailing dam binary classification task.