Projects per year
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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
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EACI - Explainable (Artificial) Creativity in Innovation
Stöckl, A., Sandler, S. & Diesenreiter, C.
01.04.2022 → 31.12.2023
Project: Research Project
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BAMBI - Biodiversity Airborne Monitoring Based on Intelligent UAV sampling
Schedl, D. C., Probst, K., Stöckl, A., Praschl, C. & Böss, L. J.
01.04.2022 → 31.03.2025
Project: Research Project
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Predictive Innovation
Stöckl, A., Aschauer, A. & Krauss, O.
01.11.2020 → 30.04.2022
Project: Research Project
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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
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Story Clustering - Content strategy for social media channels
01.06.2019 → 31.05.2020
Project: Research Project
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Accident prevention with Deep Learning language models
Stöckl, A., Jun 2022, p. 20. 1 p.Research output: Contribution to conference › Abstract › peer-review
Open Access -
Accurately Predicting User Registration in Highly Unbalanced Real-World Datasets from Online News Portals
Spitzer, E-M., Krauss, O. & Stöckl, A., 29 Jul 2022, Database and Expert Systems Applications - 33rd International Conference, DEXA 2022, Proceedings. Strauss, C., Cuzzocrea, A., Kotsis, G., Khalil, I. & Tjoa, A. M. (eds.). Cham: Springer, p. 302-315 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13426 LNCS).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
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Anomaly-Based Risk Detection Using Digital News Articles
Pointner, A. M., Spitzer, E-M., Krauss, O. & Stöckl, A., 31 Aug 2022, p. 1-16. 16 p.Research output: Contribution to conference › Paper › peer-review
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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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Natural Language Interface for Data Visualization with Deep Learning Based Language Models
Stöckl, A., 2022, p. 142-148. 7 p.Research output: Contribution to conference › Paper › peer-review