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1 Ergebnisse
1
Exploring The Efficient Market Hypothesis for Accurate Stoc..:
, In:
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
,
Seo, Kanghyeon
;
Yang, Jihoon
- p. 892-901 , 2024
Link:
https://dl.acm.org/doi/10.1145/3605098.3635928
RT T1 <cTitle>Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing</cTitle>: T1 <Title>Exploring The Efficient Market Hypothesis for Accurate Stock Movement Prediction via Feature-Axis Transformer</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3635928&Exemplar=1&LAN=DE A1 Seo, Kanghyeon A1 Yang, Jihoon PB ACM YR 2024 K1 stock movement prediction K1 fintech K1 deep learning K1 Applied computing K1 Operations research K1 Forecasting K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 892 OP 901 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3605098.3635928 DO https://dl.acm.org/doi/10.1145/3605098.3635928 SF ELIB - SuUB Bremen
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