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Deep learning models for price forecasting of financial time series: A
  review of recent advancements: 2020-2022

Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022

21 April 2023
Chen Zhang
N. N. Sjarif
Roslina Ibrahim
    AI4TS
ArXivPDFHTML

Papers citing "Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022"

3 / 3 papers shown
Title
MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to
  Predict Bitcoin Price
MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price
Qiutong Guo
Shun Lei
Qing Ye
Zhiyang Fang
24
23
0
03 May 2021
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,233
0
24 Jun 2017
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
201
7,884
0
13 Jun 2015
1