| Verlagslink DOI: | 10.1109/ICCCMLA63077.2024.10871633 | Titel: | Adapting speech models for stock price prediction | Sprache: | Englisch | Autorenschaft: | Voigt, Frederic Alcarez Calero, Jose Dahal, Keshav Wang, Qi von Luck, Kai Stelldinger, Peer  |
Schlagwörter: | finance; quantitative stock price prediction; natural language processing; stock movement prediction; fintech; machine learning; large language models | Erscheinungsdatum: | 11-Feb-2025 | Teil der Schriftenreihe: | 6th International Conference on Cybernetics, Cognition and Machine Learning Applications : ICCCMLA 2024, 19-20 October 2024 ; Nordakademie University of Applied Sciences Köllner Ch 11, 25337 Elmshorn, Germany | Anfangsseite: | 1 | Endseite: | 8 | Konferenz: | International Conference on Cybernetics, Cognition and Machine Learning Applications 2024 | URI: | https://hdl.handle.net/20.500.12738/17178 | ISBN: | 979-8-3315-0579-0 979-8-3315-0580-6 |
Begutachtungsstatus: | Diese Version hat ein Peer-Review-Verfahren durchlaufen (Peer Review) | Einrichtung: | Department Informatik Fakultät Technik und Informatik Forschungs- und Transferzentrum Smart Systems |
Dokumenttyp: | Konferenzveröffentlichung |
| Appears in Collections: | Publications without full text |
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