Citing Works
Novel optimization approach for stock price forecasting using multi-layered sequential LSTM
Abdul Quadir, Sanjit Kapoor, Chris Junni AV, Arun Kumar Sivaraman, Kong Fah Tee, H. Sabireen, N. Janakiraman
Applied Soft Computing · 2022
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On the Application of Multidimensional LSTM Networks to Forecast Quarterly Reports Financial Statements
Adam Gałuszka, Aleksander Nawrat, Eryka Probierz, Karol Jędrasiak, Tomasz Wiśniewski, Katarzyna Klimczak
Lecture notes in networks and systems · 2022
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Parameter Optimisation of LSTM Models in Stock Price Prediction
Pi Rey Low, Eric Sakk
IEEE Region 10 Conference (TENCON) · 2022
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POIBERT: A Transformer-based Model for the Tour Recommendation Problem
Ngai Lam Ho, Kwan Hui Lim
IEEE International Conference on Big Data (BigData) · 2022
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Predicting stock market index using LSTM
Hum Nath Bhandari, Binod Rimal, Nawa Raj Pokhrel, Ramchandra Rimal, Keshab Raj Dahal, Rajendra K C Khatri
Machine Learning with Applications · 2022
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Predictive Analytics for a Trustworthy Stock Exchange using LSTM and ARIMA Model
V. Gayatri, PVRD Prasada Rao
International Conference on Advanced Computing and Communication Systems (ICACCS) · 2022
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Prognostication of Sales by Auto Encoder and Long-Term Short Memory
Kapil Kumar, Kripa Shanker Mishra
International Journal of Knowledge-Based Organizations · 2022
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Research on Quantitative Stock Selection Strategy Based on CNN-LSTM
Huishan Zhuang, Rui Zhao, Xi Luo, Chengyu Yang
International Conference on Pattern Recognition and Artificial Intelligence (PRAI) · 2022
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Scalability of Data Mining Algorithms for Non-Stationary Data
Satyajit Sidheshwar Uparkar, Ujwal Ambadas Lanjewar
International Conference on Applied Artificial Intelligence and Computing (ICAAIC) · 2022
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Stock Market Feature Selection Using Orthogonal Array
Jingpeng Tang, Qianwen Bi, Ian Beal, Eric Stauffer, Yashwanth Kotha, Smita Gupta
Intermountain Engineering, Technology and Computing (IETC) · 2022
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