Projects per year
Fingerprint
Dive into the research topics where Andreas Stöckl is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
-
BAMBI - Biodiversity Airborne Monitoring Based on Intelligent UAV sampling
Schedl, D. C., Probst, K., Stöckl, A. & Praschl, C.
01.04.2022 → 31.03.2025
Project: Research Project
-
EACI - Explainable (Artificial) Creativity in Innovation
Stöckl, A., Sandler, S. & Diesenreiter, C.
01.04.2022 → 31.12.2023
Project: Research Project
-
KI-unterstützte Textanalyse von Unfallbeschreibung - AI-assisted text analysis of accident descriptions
01.01.2022 → 30.06.2022
Project: Research Project
-
Predictive Innovation
Stöckl, A., Aschauer, A. & Krauss, O.
01.11.2020 → 30.04.2022
Project: Research Project
-
RiskAI - Application of artificial intelligence methods for risk management in companies
Stöckl, A., Krauss, O. & Pointner, A. M.
01.08.2020 → 31.01.2022
Project: Research Project
-
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
-
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
-
Risikomanagement in Echtzeit
Stöckl, A. & Angerbauer, G., 15 Mar 2022, In: CFO aktuell. 2022, 2, p. 65-69 5 p.Research output: Contribution to journal › Article
-
Web Scraping
Egger, R., Kroner, M. & Stöckl, A., Jan 2022, Applied Data Science in Tourism: Interdisciplinary Approaches, Methodologies, and Applications. Egger, R. (ed.). Cham: Springer, p. 67-82 16 p.Research output: Chapter in Book/Report/Conference proceedings › Chapter
-
Watching a Language Model Learning Chess
Stöckl, A., 1 Sep 2021, International Conference Recent Advances in Natural Language Processing, RANLP 2021: Deep Learning for Natural Language Processing Methods and Applications - Proceedings. Angelova, G., Kunilovskaya, M., Mitkov, R. & Nikolova-Koleva, I. (eds.). Held Online: INCOMA Ltd., p. 1369-1379 11 p. (International Conference Recent Advances in Natural Language Processing, RANLP).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
Open Access