Publikationen
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Bican, Peter; Posth, Jan-Alexander; Guderian, Carsten C.,
2022.
In:
22nd EURAM Annual Conference, Winterthur, Switzerland, 15-17 June 2022.
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Kley, Christoph; Zwinselman, Yannick; Brunner, Hans; Kull, Stefan,
2022.
Prognosefähigkeit von Kennzahlen während der Laufzeit von Private Equity Fonds.
Wirtschaftswissenschaftliches Studium.
51(2-3), S. 34-42.
Verfügbar unter: https://doi.org/10.15358/0340-1650-2022-2-3-34
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Posth, Jan-Alexander; Auth, Christoph; De Meer Pardo, Fernando; Dascalu, Florin; Jaggi, David; Grob, Linus,
2022.
Reinforcement learning in finance.
In:
ZKB Event, Zürich, Schweiz, 7.April 2022.
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Hofmann, Roland; Zahnd, Nathanael,
2022.
Steuerliche Förderung des Vorsorgesparens : eine kritische Beurteilung des Säule-3a-Abzugs.
IFF-Forum für Steuerrecht.
2022(3), S. 205-238.
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De Meer Pardo, Fernando; Schwendner, Peter; Wunsch, Marcus,
2022.
The Journal of Financial Data Science.
4(4), S. 110-132.
Verfügbar unter: https://doi.org/10.3905/jfds.2022.1.109
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Thompson, Mark James; Orpiszewski, Tomasz; Laube, Patrick; Kaya, Orcun,
2022.
TECH4SDG : guiding Swiss asset managers towards high-impact SMEs.
In:
SSF/ZHAW Novel Data Solutions: Big Data and AI for Sustainable Investing - from Biodiversity Risks to Sustainable Gold, Zurich, Switzerland, 2 November 2022.
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Schnauss, Martin; Müller, Katja; Spieler, Patrick,
2022.
The cybernetics of sustainable real estate portfolio systems using the example of hospital complexes [Paper].
In:
28th Annual Conference of the European Real Estate Society (ERES), Milan, Italy, 22-25 June 2022.
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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