Search Results for author: Remis Balaniuk

Found 3 papers, 2 papers with code

Rastro-DM: data mining with a trail

no code implementations8 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.

Mining and Tailings Dam Detection In Satellite Imagery Using Deep Learning

1 code implementation2 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.

Cloud Computing

BrazilDAM: A Benchmark dataset for Tailings Dam Detection

1 code implementation17 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.

Binary Classification Classification +3

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