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2020 – today
- 2024
[j5]Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer:
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks. Trans. Mach. Learn. Res. 2024 (2024)- [c3]Joseph Giovanelli, Alexander Tornede, Tanja Tornede, Marius Lindauer:
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning. AAAI 2024: 12172-12180 - [i6]Leona Hennig, Tanja Tornede, Marius Lindauer:
Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks. CoRR abs/2404.01965 (2024) - 2023
- [j4]Tanja Tornede, Alexander Tornede, Jonas Hanselle, Felix Mohr, Marcel Wever, Eyke Hüllermeier:
Towards Green Automated Machine Learning: Status Quo and Future Directions. J. Artif. Intell. Res. 77: 427-457 (2023) - [j3]Tanja Tornede
, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever:
PyExperimenter: Easily distribute experiments and track results. J. Open Source Softw. 8(86): 5149 (2023) - [j2]Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier:
Algorithm selection on a meta level. Mach. Learn. 112(4): 1253-1286 (2023) - [i5]Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever:
PyExperimenter: Easily distribute experiments and track results. CoRR abs/2301.06348 (2023) - [i4]Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer:
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks. CoRR abs/2306.08107 (2023) - [i3]Joseph Giovanelli, Alexander Tornede, Tanja Tornede, Marius Lindauer:
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning. CoRR abs/2309.03581 (2023) - 2021
- [c2]Tanja Tornede, Alexander Tornede, Marcel Wever, Eyke Hüllermeier:
Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance. GECCO 2021: 368-376 - [i2]Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier:
Algorithm Selection on a Meta Level. CoRR abs/2107.09414 (2021) - [i1]Tanja Tornede, Alexander Tornede, Jonas Hanselle, Marcel Wever, Felix Mohr, Eyke Hüllermeier:
Towards Green Automated Machine Learning: Status Quo and Future Directions. CoRR abs/2111.05850 (2021) - 2020
- [j1]Martin W. Hoffmann, Stephan Wildermuth, Ralf Gitzel, Aydin Boyaci, Jörg Gebhardt, Holger Kaul, Ido Amihai, Bodo Forg, Michael Suriyah, Thomas Leibfried, Volker Stich, Jan Hicking, Martin Bremer, Lars Kaminski, Daniel Beverungen, Philipp zur Heiden, Tanja Tornede:
Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions. Sensors 20(7): 2099 (2020) - [c1]Tanja Tornede, Alexander Tornede, Marcel Wever, Felix Mohr, Eyke Hüllermeier:
AutoML for Predictive Maintenance: One Tool to RUL Them All. IoT Streams/ITEM@PKDD/ECML 2020: 106-118
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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