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Lukas Heppe
Lukas Heppe
Verified email at udo.edu - Homepage
Title
Cited by
Cited by
Year
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
132017
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
102023
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
72022
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
7
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
52021
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
22020
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
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Articles 1–9