| Technical design of the phase I Mu3e experiment K Arndt, H Augustin, P Baesso, N Berger, F Berg, C Betancourt, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2021 | 97 | 2021 |
| Pairwise learning to rank by neural networks revisited: Reconstruction, theoretical analysis and practical performance M Köppel, A Segner, M Wagener, L Pensel, A Karwath, S Kramer Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 53 | 2020 |
| Performance of the large scale HV-CMOS pixel sensor MuPix8 H Augustin, N Berger, C Blattgerste, S Dittmeier, F Ehrler, C Grzesik, ... Journal of Instrumentation 14 (10), C10011, 2019 | 15 | 2019 |
| The Mu3e Data Acquisition H Augustin, N Berger, A Bravar, K Briggl, H Chenm, S Corrodi, S Dittmeier, ... IEEE Transactions on Nuclear Science, 1833-1840, 2021 | 11 | 2021 |
| Fair pairwise learning to rank M Cerrato, M Köppel, A Segner, R Esposito, S Kramer 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 11 | 2020 |
| Fair Interpretable Representation Learning with Correction Vectors M Cerrato, AV Coronel, M Köppel, A Segner, R Esposito, S Kramer arXiv preprint arXiv:2202.03078, 2022 | 5 | 2022 |
| Fair Group-Shared Representations with Normalizing Flows M Cerrato, M Köppel, A Segner, S Kramer ICLR-21 Workshop on Responsible AI, 2021 | 4 | 2021 |
| Mu3e Integration Run 2021 M Köppel The 22nd International Workshop on Neutrinos from Accelerators, 233, 2022 | 3 | 2022 |
| Data Flow in the Mu3e Filter Farm M Köppel https://www.psi.ch/en/media/54381/download, 2019 | 3 | 2019 |
| Invariant representations with stochastically quantized neural networks M Cerrato, M Köppel, R Esposito, S Kramer Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6962-6970, 2023 | 2 | 2023 |
| Data Flow in the Mu3e DAQ M Köppel IEEE Transactions on Nuclear Science, 2023 | 2 | 2023 |
| Learning to rank Higgs boson candidates M Köppel, A Segner, M Wagener, L Pensel, A Karwath, C Schmitt, ... Scientific reports 12 (1), 13094, 2022 | 1 | 2022 |
| Ranking Creative Language Characteristics in Small Data Scenarios J Siekiera, M Köppel, E Simpson, K Stowe, I Gurevych, S Kramer International Conference on Computational Creativity (ICCC), 2022 | 1 | 2022 |
| Google Topics als Ausweg aus dem Cookie-Dilemma?—Rechtliche Anforderungen an die technische Alternative zur individualisierten Werbung im Internet JP Muttach, M Köppel, G Hornung Computer und Recht 39 (10), 644-655, 2023 | | 2023 |
| The Case for Correctability in Fair Machine Learning M Cerrato, AV Coronel, M Köppel EWAF 2023 European Workshop on Algorithmic Fairness, 2023 | | 2023 |
| Can machine learning solve the challenge of adaptive learning and the individualization of learning paths? A field experiment in an online learning platform T Klausmann, M Köppel, D Schunk, I Zipperle AAAI2023 Artificial Intelligence for Education, 2023 | | 2023 |
| Fair Interpretable Learning via Correction Vectors M Cerrato, M Köppel, A Segner, S Kramer ICLR-21 Workshop on Responsible AI, 2021 | | 2021 |
| Studien zu Jetenergiekorrekturen von Subjets bei der Suche nach Higgs-Produktion in Assoziation mit einem Top-Quark-Paar M Köppel Fakultät für Physik des Karlsruher Instituts für Technologie, 2016 | | 2016 |
| Daten und Sicherheit JP Muttach, M Köppel, G Hornung | | |
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University MainzVerified email at informatik.uni-mainz.de
