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Connection Science Volume 34, 2022 - Issue 1
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Articles

Selective transfer learning with adversarial training for stock movement prediction

Yang Lia School of Data and Computer Science, Sun Yat-sen University, Guangzhou, People's Republic of ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-5653-1829View further author information
ORCID Icon,
Hong-Ning Daib Department of Computing and Decision Sciences, Lingnan University, Hong Kong, Hong KongORCID Iconhttps://orcid.org/0000-0001-6165-4196View further author information
ORCID Icon &
Zibin Zhenga School of Data and Computer Science, Sun Yat-sen University, Guangzhou, People's Republic of ChinaORCID Iconhttps://orcid.org/0000-0002-7878-4330View further author information
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Pages 492-510 | Received 15 Sep 2021, Accepted 09 Dec 2021, Published online: 04 Jan 2022

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Lianlian Fu, Xinsheng Ding & Yuehui Ding. (2022) Ensemble empirical mode decomposition-based preprocessing method with Multi-LSTM for time series forecasting: a case study for hog prices. Connection Science 34:1, pages 2177-2200.
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Shunxiang Zhang, Houyue Wu, Xin Xu, Guangli Zhu & Meng-Yen Hsieh. (2022) CL-ECPE: contrastive learning with adversarial samples for emotion-cause pair extraction. Connection Science 34:1, pages 1877-1894.
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Xingyuan Chen, Peng Jin, Ping Cai, Hongjun Wang, Xinyu Dai & Jiajun Chen. (2022) The detection of distributional discrepancy for language GANs. Connection Science 34:1, pages 1736-1750.
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Weizhong Wang, Hai-Lin Liu & Hongjian Shi. (2022) A multi-objective bilevel optimisation evolutionary algorithm with dual populations lower-level search. Connection Science 34:1, pages 1556-1581.
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