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

List of Communications > Bahassine Said

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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