Research output per year
Research output per year
Personal profile
About me
Born 1972 | MSc (applied math, Johannes Kepler University, Linz, Austria, 1996) | PhD (applied math, Johannes Kepler University, Linz, Austria, 1998) | Habilitation (Johannes Kepler University, Austria, 2003) | Since June 2018: Chief Artificial Intelligence Officer at QUOMATIC.AI (Leonding, Austria; part-time) | Since September 2020: Professor for Artificial Intelligence at University of Applied Sciences Upper Austria (Hagenberg, Austria; main occupation)
Research interests
Machine Learning & Artificial Intelligence in Sales Analytics, Healthcare, and Bioinformatics
Education/Academic qualification
Habilitation
Award Date: 6 Aug 2003
Engineering Sciences, PhD
1 Oct 1996 → 30 Oct 1998
Applied Mathematics, Dipl.-Ing.
1 Oct 1990 → 26 Apr 1996
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Classification
Bodenhofer, U. & Stöckl, A., Jan 2022, Applied Data Science in Tourism: Interdisciplinary Approaches, Methodologies, and Applications. Egger, R. (ed.). Cham: Springer, p. 169-208 40 p.Research output: Chapter in Book/Report/Conference proceedings › Chapter
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Hsa-miR-3651 could serve as a novel predictor for in-breast recurrence via FRMD3
Zellinger, B., Bodenhofer, U., Engländer, I. A., Kronberger, C., Grambozov, B., Ruznic, E., Stana, M., Karner, J., Fastner, G., Sotlar, K., Sedlmayer, F. & Zehentmayr, F., Mar 2022, In: Breast Cancer. 29, 2, p. 274-286 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Machine learning-based prediction of fainting during blood donations using donor properties and weather data as features
Suessner, S., Niklas, N., Bodenhofer, U. & Meier, J., 20 Aug 2022, In: BMC Medical Informatics and Decision Making. 22, 1, p. 222 222.Research output: Contribution to journal › Article › peer-review
Open Access -
Regression
Stöckl, A. & Bodenhofer, U., Jan 2022, Applied Data Science in Tourism: Interdisciplinary Approaches, Methodologies, and Applications. Egger, R. (ed.). Cham: Springer, p. 209-229 21 p.Research output: Chapter in Book/Report/Conference proceedings › Chapter
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Machine learning-based risk profile classification of patients undergoing elective heart valve surgery
Bodenhofer, U., Haslinger-Eisterer, B., Minichmayer, A., Hermanutz, G. & Meier, J., 29 May 2021, In: European Journal of Cardio-thoracic Surgery. 60, 6, p. 1378-1385 8 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus)
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Artificial Intelligence - Künstliche Intelligenz
Ulrich Bodenhofer (Speaker)
3 Feb 2022Activity: Talk or presentation › Oral presentation
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Individuelle AI-Lösungen aus Basis eigener Daten: Für KMUs nur ein Wunschtraum?
Ulrich Bodenhofer (Speaker)
5 Jul 2022Activity: Talk or presentation › Invited talk
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Künstliche Intelligenz - praktisch dargestellt
Ulrich Bodenhofer (Speaker)
2 Feb 2021Activity: Talk or presentation › Invited talk
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AI-based Sales Analytics: Solutions and Prospects
Ulrich Bodenhofer (Speaker)
18 Jun 2021Activity: Talk or presentation › Invited talk
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Künstliche Intelligenz (KI) und Diversität – ein Widerspruch?
Ulrich Bodenhofer (Speaker)
19 Nov 2020Activity: Talk or presentation › Invited talk