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Prediction of Bitcoin Prices’ Trends with Ensemble Learning Models Conference paper
Yan,Keyue, Wang,Yimeng. Prediction of Bitcoin Prices’ Trends with Ensemble Learning Models[C]. Academic Exchange Information Centre (AEIC), Chongqing Engineering Research Centre for Computer Vision Intelligence Technology, School of Artificial Intelligence:SPIE, 2023.
Authors:  Yan,Keyue;  Wang,Yimeng
Favorite | TC[Scopus]:3 | Submit date：2023/08/03
Ensemble Learning  Financial Time Series  Prediction  
1D convolutional neural networks for chart pattern classification in financial time series Journal article
Liu, Liying, Si, Yain Whar. 1D convolutional neural networks for chart pattern classification in financial time series[J]. Journal of Supercomputing, 2022, 78(12), 14191-14214.
Authors:  Liu, Liying;  Si, Yain Whar
Favorite | TC[WOS]:11 TC[Scopus]:17  IF:2.5/2.4 | Submit date：2022/05/17
1d Convolutional Neural Networks  Chart Patterns  Classification  Financial Time Series  
Feature extraction for chart pattern classification in financial time series Journal article
Zheng, Yuechu, Si, Yain Whar, Wong, Raymond. Feature extraction for chart pattern classification in financial time series[J]. Knowledge and Information Systems, 2021, 63(7), 1807-1848.
Authors:  Zheng, Yuechu;  Si, Yain Whar;  Wong, Raymond
Favorite | TC[WOS]:5 TC[Scopus]:12  IF:2.5/2.6 | Submit date：2021/12/08
Financial Time Series  Chart Patterns  Feature Extraction  Pattern Classification  
Direct least squares fitting of ellipses segmentation and prioritized rules classification for curve-shaped chart patterns Journal article
Lei, Iat Long, Teh, Phoey Lee, Si, Yain Whar. Direct least squares fitting of ellipses segmentation and prioritized rules classification for curve-shaped chart patterns[J]. APPLIED SOFT COMPUTING, 2021, 107, 107363.
Authors:  Lei, Iat Long;  Teh, Phoey Lee;  Si, Yain Whar
Favorite | TC[WOS]:4 TC[Scopus]:6  IF:7.2/7.0 | Submit date：2021/12/08
Chart Patterns  Direct Least Squares Fitting Of Ellipses  Financial Time Series  Segmentation  Sliding Window  
An Efficient Segmentation Method: Perceptually Important Point with Binary Tree Conference paper
Sun, Q., Si, Y. W.. An Efficient Segmentation Method: Perceptually Important Point with Binary Tree[C]:Springer, 2021, 350-365.
Authors:  Sun, Q.;  Si, Y. W.
Favorite | TC[WOS]:1 TC[Scopus]:2 | Submit date：2022/06/14
Financial Time Series  Perceptually Important Point  Binary Tree  Chart Patterns  Segmentation  
Multi-source transfer learning with ensemble for financial time series forecasting Conference paper
Qi-Qiao He, Patrick Cheong-Iao Pang, Yain-Whar Si. Multi-source transfer learning with ensemble for financial time series forecasting[C]:IEEE, 2020, 227-233.
Authors:  Qi-Qiao He;  Patrick Cheong-Iao Pang;  Yain-Whar Si
Favorite | TC[WOS]:6 TC[Scopus]:8 | Submit date：2021/12/06
Artificial Neural Networks  Financial Time Series Forecasting  Multi-source Transfer Learning  
Customized Decision Tree for Fast Multi-resolution Chart Patterns Classification Conference paper
Sun, Qizhou, Si, Yain-Whar. Customized Decision Tree for Fast Multi-resolution Chart Patterns Classification[C], Cham:Springer, 2020, 446 - 458.
Authors:  Sun, Qizhou;  Si, Yain-Whar
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/06/14
Financial Time Series  Multi-resolution Chart Patterns  Customized Decision Tree  
Mining subsequent trend patterns from financial time series Journal article
Wan,Yuqing, Lau,Raymond Yiu Keung, Si,Yain Whar. Mining subsequent trend patterns from financial time series[J]. International Journal of Wavelets Multiresolution and Information Processing, 2020, 18(3).
Authors:  Wan,Yuqing;  Lau,Raymond Yiu Keung;  Si,Yain Whar
Favorite | TC[WOS]:7 TC[Scopus]:8  IF:0.9/1.1 | Submit date：2021/03/11
Chart Patterns  Financial Time Series  Subsequent Trend Patterns  Technical Analysis  
A formal approach to candlestick pattern classification in financial time series Journal article
Weilong Hu, Yain-Whar Si, Simon Fong, Raymond Yiu Keung Lau. A formal approach to candlestick pattern classification in financial time series[J]. Applied Soft Computing, 2019, 84, 105700.
Authors:  Weilong Hu;  Yain-Whar Si;  Simon Fong;  Raymond Yiu Keung Lau
Favorite | TC[WOS]:18 TC[Scopus]:21  IF:7.2/7.0 | Submit date：2021/03/09
Financial Time Series  Candlestick Chart Patterns  Formal Specifications  Pattern Matching  Stock Markets  
Transfer Learning for Financial Time Series Forecasting Conference paper
He, Qi Qiao, Pang, Patrick Cheong Iao, Si, Yain Whar. Transfer Learning for Financial Time Series Forecasting[C], 23 August 2019:Springer, 2019, 24-36.
Authors:  He, Qi Qiao;  Pang, Patrick Cheong Iao;  Si, Yain Whar
Favorite | TC[WOS]:22 TC[Scopus]:28 | Submit date：2022/05/23
Artificial Neural Networks  Financial Time Series  Forecasting  Transfer Learning