no code implementations • 1 Jun 2020 • Rafael B. Mangolin, Rodolfo M. Pereira, Alceu S. Britto Jr., Carlos N. Silla Jr., Valéria D. Feltrim, Diego Bertolini, Yandre M. G. Costa
Based on the F-Score metric, our best result, 0. 628, was obtained by the fusion of a classifier created using LSTM on the synopses, and a classifier created using CNN on movie trailer frames.
no code implementations • 13 Apr 2020 • Rodolfo M. Pereira, Diego Bertolini, Lucas O. Teixeira, Carlos N. Silla Jr., Yandre M. G. Costa
The proposed approach achieved a macro-avg F1-Score of 0. 65 using a multi-class approach and a F1-Score of 0. 89 for the COVID-19 identification in the hierarchical classification scenario.