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Unification of Deconvolution Algorithms for Cherenkov Astronomy., , , , and . DSAA, page 21-30. IEEE, (2018)Certification of Model Robustness in Active Class Selection., and . ECML/PKDD (2), volume 12976 of Lecture Notes in Computer Science, page 266-281. Springer, (2021)Active Class Selection with Uncertain Class Proportions., and . IAL@PKDD/ECML, volume 3079 of CEUR Workshop Proceedings, page 70-79. CEUR-WS.org, (2021)Regularization-Based Methods for Ordinal Quantification., , , and . CoRR, (2023)Key Concepts in Machine Learning and Data Analysis., and . Mach. Learn. under Resour. Constraints Vol. 2 (2), De Gruyter, (2022)What Can We Expect from Active Class Selection?, and . LWDA, volume 2454 of CEUR Workshop Proceedings, page 79-83. CEUR-WS.org, (2019)DortmundAI at LeQua 2022: Regularized SLD., and . CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 1911-1915. CEUR-WS.org, (2022)Optimal Probabilistic Classification in Active Class Selection., , , and . ICDM, page 942-947. IEEE, (2020)Unification of Algorithms for Quantification and Unfolding.. GI-Jahrestagung, volume P-326 of LNI, page 459-468. Gesellschaft für Informatik, Bonn, (2022)Machine learning for acquiring knowledge in astro-particle physics.. Technical University of Dortmund, Germany, (2022)