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Markus Frohmann
Markus Frohmann
Preverjeni e-poštni naslov na jku.at
Naslov
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Leto
Predicting the price of Bitcoin using sentiment-enriched time series forecasting
M Frohmann, M Karner, S Khudoyan, R Wagner, M Schedl
Big Data and Cognitive Computing 7 (3), 137, 2023
22023
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale
M Frohmann, C Holtermann, S Masoudian, A Lauscher, N Rekabsaz
arXiv preprint arXiv:2310.01217, 2023
12023
What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition
C Holtermann, M Frohmann, N Rekabsaz, A Lauscher
arXiv preprint arXiv:2401.12756, 2024
2024
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