| Unification of Deconvolution Algorithms for Cherenkov Astronomy M Bunse, N Piatkowski, K Morik, T Ruhe, W Rhode 2018 IEEE 5th International Conference on Data Science and Advanced …, 2018 | 22 | 2018 |
| Lessons learned from the 1st Ariel Machine Learning Challenge: Correcting transiting exoplanet light curves for stellar spots N Nikolaou, IP Waldmann, A Tsiaras, M Morvan, B Edwards, KH Yip, ... RAS Techniques and Instruments 2 (1), 695-709, 2023 | 12 | 2023 |
| Certification of model robustness in active class selection M Bunse, K Morik Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 7 | 2021 |
| Optimal Probabilistic Classification in Active Class Selection M Bunse, D Weichert, A Kister, K Morik 2020 IEEE International Conference on Data Mining (ICDM), 942-947, 2020 | 6 | 2020 |
| Towards active simulation data mining M Bunse, A Saadallah, K Morik European Conference on Machine Learning and Principles and Practice of …, 2019 | 6 | 2019 |
| Ordinal quantification through regularization M Bunse, A Moreo, F Sebastiani, M Senz Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 5 | 2022 |
| On Multi-Class Extensions of Adjusted Classify and Count M Bunse Proceedings of the 2nd International Workshop on Learning to Quantify (LQ …, 2022 | 4 | 2022 |
| Machine learning for acquiring knowledge in astro-particle physics M Bunse Dissertation, Dortmund, Technische Universität, 2022, 2022 | 4 | 2022 |
| DSEA Rock-Solid - Regularization and Comparison with other Deconvolution Algorithms M Bunse TU Dortmund University, 2018 | 4 | 2018 |
| Unification of Algorithms for Quantification and Unfolding M Bunse INFORMATIK 2022, 2022 | 3 | 2022 |
| DortmundAI at LeQua 2022: regularized SLD M Senz, M Bunse Working Notes of the 2022 Conference and Labs of the Evaluation Forum (CLEF …, 2022 | 3 | 2022 |
| Active Class Selection with Uncertain Deployment Class Proportions M Bunse, K Morik Workshop on Interactive Adaptive Learning, 70, 2021 | 3 | 2021 |
| Smart Control of Monte Carlo Simulations for Astroparticle Physics M Bunse, C Bockermann, J Buss, K Morik, W Rhode, T Ruhe Astronomical Data Analysis Software and Systems (ADASS) XXVII, 2017 | 3 | 2017 |
| Qunfold: Composable quantification and unfolding methods in Python M Bunse Proceedings of the 3rd International Workshop on Learning to Quantify (LQ …, 2023 | 2 | 2023 |
| What Can We Expect from Active Class Selection? M Bunse, K Morik Lernen, Wissen, Daten, Analysen (LWDA), 79-83, 2019 | 2 | 2019 |
| Regularization-Based Methods for Ordinal Quantification M Bunse, A Moreo, F Sebastiani, M Senz arXiv preprint arXiv:2310.09210, 2023 | 1 | 2023 |
| Noisy Labels for Weakly Supervised Gamma Hadron Classification L Pfahler, M Bunse, K Morik arXiv preprint arXiv:2108.13396, 2021 | 1 | 2021 |
| Towards a Unifying View on Deconvolution in Cherenkov Astronomy M Bunse, N Piatkowski, K Morik | 1 | 2018 |
| Pg594-big data M Asmi, A Bainczyk, M Bunse, D Gaidel, M May, C Pfeiffer, A Schieweck, ... TU Dortmund, Tech. Rep. 5, 10 2016, supervised by Katharina Morik, Christian …, 2016 | 1 | 2016 |
| Class-Conditional Label Noise in Astroparticle Physics M Bunse, L Pfahler Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
Katharina MorikProfessor of Computer Science, TU Dortmund UniversityVerified email at tu-dortmund.de
