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Tanja Tornede
Tanja Tornede
Verified email at ai.uni-hannover.de
Title
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Cited by
Year
Integration of novel sensors and machine learning for predictive maintenance in medium voltage switchgear to enable the energy and mobility revolutions
MW Hoffmann, S Wildermuth, R Gitzel, A Boyaci, J Gebhardt, H Kaul, ...
Sensors 20 (7), 2099, 2020
852020
Towards Green Automated Machine Learning: Status Quo and Future Directions
T Tornede, A Tornede, J Hanselle, F Mohr, M Wever, E Hüllermeier
Journal of Artificial Intelligence Research (JAIR) 77, 427-457, 2023
262023
Automl in the age of large language models: Current challenges, future opportunities and risks
A Tornede, D Deng, T Eimer, J Giovanelli, A Mohan, T Ruhkopf, S Segel, ...
arXiv preprint arXiv:2306.08107, 2023
232023
Algorithm selection on a meta level
A Tornede, L Gehring, T Tornede, M Wever, E Hüllermeier
Machine Learning (MLJ) 112 (4), 1253-1286, 2023
192023
AutoML for Predictive Maintenance: One Tool to RUL them all
T Tornede, A Tornede, M Wever, F Mohr, E Hüllermeier
IoTStream @ ECMLPKDD 2020, 2020
192020
Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance
T Tornede, A Tornede, M Wever, E Hüllermeier
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2021
152021
Interactive hyperparameter optimization in multi-objective problems via preference learning
J Giovanelli, A Tornede, T Tornede, M Lindauer
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12172 …, 2024
12024
jPL: A java-based software framework for preference learning
P Gupta, A Hetzer, T Tornede, S Gottschalk, A Kornelsen, S Osterbrink, ...
Proceedings of the LWDA, 2017
12017
Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks
L Hennig, T Tornede, M Lindauer
arXiv preprint arXiv:2404.01965, 2024
2024
FLEMING-Flexible Monitoring-und Regelsysteme für die Energie-und Mobilitätswende im Verteilnetz durch Einsatz von Künstlicher Intelligenz: Abschlussbericht
A Boyaci, R Gitzel, I Amihai, V Migunov, J Gebhardt, H Kaul, T Loss, ...
2023
PyExperimenter: Easily distribute experiments and track results
T Tornede, A Tornede, L Fehring, L Gehring, H Graf, J Hanselle, F Mohr, ...
Journal of Open Source Software (JOSS) 8 (84), 5149, 2023
2023
A digital twin for MV switchgear condition monitoring data
R Gitzel, V Migunov, T Tornede
IET Digital Library, 2023
2023
ITS. ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen: Schlussbericht: Forschungsvorhaben zur automatisierten Analyse von Daten mittels …
B Hammer, E Hüllermeier, V Lohweg, A Schneider, W Schenck, U Kuhl, ...
Universität Bielefeld, 2022
2022
Schlussbericht ITS. ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen. Forschungsvorhaben zur automatisierten Analyse von Daten mittels …
B Hammer, E Hüllermeier, V Lohweg, A Schneider, W Schenck, U Kuhl, ...
2022
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