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~accessRights:"free"
~language:"eng"
~person:"Baldazzi, Teodoro"
~person:"Hopp, Daniel"
~subject:"LSTM"
~subject:"Neural networks"
~subject:"Theorie"
~subject:"Theory"
~type:"book"
~type_genre:"Amtliche Publikation"
~type_genre:"Lehrbuch"
~type_genre:"Statistics"
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Fine-tuning large language models for financial markets via ontological reasoning
Baldazzi, Teodoro
;
Bellomarini, Luigi
;
Ceri, Stefano
; …
-
2024
Persistent link: https://www.econbiz.de/10014461216
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2
Benchmarking econometric and machine learning methodologies in nowcasting
Hopp, Daniel
-
2022
Persistent link: https://www.econbiz.de/10013538957
Saved in:
3
Feasibility of nowcasting SDG indicators : a comprehensive survey
Hopp, Daniel
;
Fu, Emily
;
Peltola, Anu
-
2022
Persistent link: https://www.econbiz.de/10013538934
Saved in:
4
Economic nowcasting with long short-term memory artificial neural networks (LSTM)
Hopp, Daniel
-
2021
Persistent link: https://www.econbiz.de/10012492809
Saved in:
5
Performance of long short-term memory artificial neural networks in nowcasting during the COVID-19 crisis
Hopp, Daniel
-
2021
Persistent link: https://www.econbiz.de/10013536140
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