no code implementations • 27 Jun 2020 • Gustavo Plensack, Paulo Finardi
To circumvent this challenge, we present a solution with deep neural networks state of art T5 that treats non-preconfigured formats of dates and addresses with accuracy above 90% in some cases.
1 code implementation • 14 Feb 2020 • Paulo Finardi, Israel Campiotti, Gustavo Plensack, Rafael Derradi de Souza, Rodrigo Nogueira, Gustavo Pinheiro, Roberto Lotufo
In this work we propose a novel self-attention mechanism model to address electricity theft detection on an imbalanced realistic dataset that presents a daily electricity consumption provided by State Grid Corporation of China.