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 | 14 | 2023 |
Real-time public transport delay prediction for situation-aware routing L Heppe, T Liebig KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference …, 2017 | 14 | 2017 |
Yes we care!-Certification for machine learning methods through the care label framework KJ Morik, H Kotthaus, R Fischer, S Mücke, M Jakobs, N Piatkowski, ... Frontiers in Artificial Intelligence 5, 975029, 2022 | 9 | 2022 |
The care label concept: a certification suite for trustworthy and resource-aware machine learning K Morik, H Kotthaus, L Heppe, D Heinrich, R Fischer, A Pauly, ... arXiv preprint arXiv:2106.00512, 2021 | 8 | 2021 |
Yes we care!-certification for machine learning methods through the care label framework (2021) K Morik, H Kotthaus, L Heppe, D Heinrich, R Fischer, S Mücke, A Pauly, ... arXiv preprint arXiv:2105.10197, 0 | 4 | |
Resource-constrained on-device learning by dynamic averaging L Heppe, M Kamp, L Adilova, D Heinrich, N Piatkowski, K Morik ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine …, 2020 | 2 | 2020 |
Resource-Constrained On-Device Learning by Dynamic Averaging N Piatkowski, K Morik ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine …, 2021 | | 2021 |
Parallele, verteilte Implementierung der Junction-Tree-Inferenz L Heppe | | 2019 |
ÖPNV Verspätungsvorhersage mit probabilistischen graphischen Modellen L Heppe | | 2016 |