Publikationen
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Grob, Linus; Boos, Dominik,
2022.
In:
7th European COST Conference on Artificial Intelligence in Industry and Finance, Winterthur, Switzerland, 28 September 2022.
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Fazlija, Bledar; Harder, Pedro,
2022.
Using financial news sentiment for stock price direction prediction.
Mathematics.
10(13), S. 2156.
Verfügbar unter: https://doi.org/10.3390/math10132156
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Fazlija, Bledar; Ibrahim, Mohamed,
2022.
Using metacognitive information and objective features to predict word pair learning success [Paper].
In:
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium.
23rd International Conference on Artificial Intelligence in Education (AIED), Durham, United Kingdom, 27-31 July 2022.
Cham:
Springer.
S. 222-226.
Lecture Notes in Computer Science ; 13356.
Verfügbar unter: https://doi.org/10.1007/978-3-031-11647-6_39
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2022.
Wie kann KI nachhaltiges Finanzieren fördern?.
In:
Berlin Science Week - Zürich meets Berlin, Berlin, Deutschland, 4.-8. November 2022.
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2022.
Wieviel KI-Potential steckt im Schweizer Finanzplatz?.
In:
Finance Circle, Winterthur, Schweiz, 14. November 2022.
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2022.
Wohneigentum : was macht den Traum der eigenen vier Wände aus?.
In:
Real Estate Circle, Winterthur, Schweiz, 24. Oktober 2022.
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Lehner, Selina; Hohgardt, Holger,
2022.
Wohneigentum : was macht den Traum der eigenen vier Wände aus?.
Swiss Real Estate Journal.
2022(25), S. 4-11.
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2022.
Wohneigentum : was macht den Traum der eigenen vier Wände aus?.
In:
Swiss Real Estate Research Congress, Zürich, Schweiz, 20. Mai 2022.
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Jaeger, Markus; Krügel, Stephan; Marinelli, Dimitri; Papenbrock, Jochen; Schwendner, Peter,
2021.
Interpretable machine learning for diversified portfolio construction.
In:
6th European Conference on Artificial Intelligence in Industry and Finance, Winterthur, Switzerland, 9 September 2021.
Verfügbar unter: https://www.zhaw.ch/storage/engineering/institute-zentren/iamp/sp_acss/Schwendner_Interpretable_ML_20210909.pdf
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Gramespacher, Thomas; Posth, Jan-Alexander,
2021.
Employing explainable AI to optimize the return target function of a loan portfolio.
Frontiers in Artificial Intelligence.
4(693022).
Verfügbar unter: https://doi.org/10.3389/frai.2021.693022