The 8th Edition of the International Conference on Research in Applied Mathematics and Computer Science

Enhancing Crash Prediction with T-SMOTE: A Comparative Study of LSTM, GRU, and BiLSTM on Imbalanced Financial Time Series

Wafae Saifi 1, @ , Said Nouh 2, @ , Said Bahassine 3, @ , Chemseddine Idrissi Imrane 4, @

1 : LTIM, Ben M'Sick Faculty of Science , Hassan II University, Casablanca

2 : LTIM, Ben M'Sick Faculty of Science , Hassan II University, Casablanca

3 : National Higher School Of Arts And Crafts, Hassan II University , Casablanca

4 : LTIM, Ben M'Sick Faculty of Science , Hassan II University, Casablanca

Subject :	:	Abstract
Topics	:	Artificial Intelligence, Machine Learning and Deep Learning
Keywords	:	Digital finance ; Stock market crash ; T ; SMOTE ; Deep learning ; Financial indicators ; Rare event prediction ; Class imbalance
PDF version	:	PDF version

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