ARIMA with Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction in the US stock market
SHS Web Conf., 196 (2024) 02001
Published online: 2024-08-26
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
A Convolutional Neural Network-LSTM Based Physical Sensor Anomaly Detector for Interdependent SCADA Controllers
Rishabh Das, Aaron Werth and Thomas MorrisAI, Computer Science and Robotics Technology 4 (2025)
https://doi.org/10.5772/acrt.20250037
101 (2024)
https://doi.org/10.1109/ICEDCS64328.2024.00023