Machine Learning-Based Prediction of Icing-Related Wind Power Production Loss. - Sebastian Scher; Jennie Molinder (IEEE Access, 2019)

Ensemble neural network forecasts with singular value decomposition. - Sebastian Scher; Gabriele Messori (CoRR, 2020)

Artificial intelligence in weather and climate prediction: Learning atmospheric dynamics. - Sebastian Scher (2020)

Robustness of Machine Learning Models Beyond Adversarial Attacks. - Sebastian Scher; Andreas Trügler (CoRR, 2022)

Long-term dynamics of fairness: understanding the impact of data-driven targeted help on job seekers. - Sebastian Scher; Simone Kopeinik; Andreas Trügler; Dominik Kowald (CoRR, 2022)

Real-world-robustness of tree-based classifiers. - Christoph Schweimer; Sebastian Scher (CoRR, 2022)

A conceptual model for leaving the data-centric approach in machine learning. - Sebastian Scher; Bernhard C. Geiger; Simone Kopeinik; Andreas Trügler; Dominik Kowald (CoRR, 2023)

Establishing and evaluating trustworthy AI: overview and research challenges. - 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; et al. (Frontiers Big Data, 2024)