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2020 – today
- 2024
[i6]Dominik Kowald, Sebastian Scher, Viktoria Pammer-Schindler, Peter Müllner, Kerstin Waxnegger, Lea Demelius, Angela Fessl, Maximilian Toller, Inti Gabriel Mendoza Estrada, Ilija Simic, Vedran Sabol, Andreas Trügler, Eduardo E. Veas, Roman Kern, Tomislav Nad, Simone Kopeinik:
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges. CoRR abs/2411.09973 (2024)- 2023
- [i5]Sebastian Scher, Bernhard C. Geiger, Simone Kopeinik, Andreas Trügler, Dominik Kowald
:
A conceptual model for leaving the data-centric approach in machine learning. CoRR abs/2302.03361 (2023) - 2022
- [i4]Sebastian Scher, Andreas Trügler:
Robustness of Machine Learning Models Beyond Adversarial Attacks. CoRR abs/2204.10046 (2022) - [i3]Sebastian Scher, Simone Kopeinik, Andreas Trügler, Dominik Kowald:
Long-term dynamics of fairness: understanding the impact of data-driven targeted help on job seekers. CoRR abs/2208.08881 (2022) - [i2]Christoph Schweimer, Sebastian Scher:
Real-world-robustness of tree-based classifiers. CoRR abs/2208.10354 (2022) - 2020
- [b1]Sebastian Scher:
Artificial intelligence in weather and climate prediction: Learning atmospheric dynamics. Stockholm University, Sweden, 2020 - [i1]Sebastian Scher, Gabriele Messori:
Ensemble neural network forecasts with singular value decomposition. CoRR abs/2002.05398 (2020)
2010 – 2019
- 2019
- [j1]Sebastian Scher, Jennie Molinder:
Machine Learning-Based Prediction of Icing-Related Wind Power Production Loss. IEEE Access 7: 129421-129429 (2019)
Coauthor Index
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