Tanja Tornede

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Current Challenges

Top Venues

IoT Streams/ITEM@PKDD/ECML

Publications

Joseph Giovanelli, Alexander Tornede, Tanja Tornede, Marius Lindauer
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning. AAAI (2024)
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)
Leona Hennig, Tanja Tornede, Marius Lindauer
Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks. CoRR (2024)
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 (2023)
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) (2023)
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 (2023)
Joseph Giovanelli, Alexander Tornede, Tanja Tornede, Marius Lindauer
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning. CoRR (2023)
Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever
PyExperimenter: Easily distribute experiments and track results. CoRR (2023)
Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier
Algorithm selection on a meta level. Mach. Learn. 112 (4) (2023)
Tanja Tornede, Alexander Tornede, Jonas Hanselle, Marcel Wever, Felix Mohr, Eyke Hüllermeier
Towards Green Automated Machine Learning: Status Quo and Future Directions. CoRR (2021)
Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier
Algorithm Selection on a Meta Level. CoRR (2021)
Tanja Tornede, Alexander Tornede, Marcel Wever, Eyke Hüllermeier
Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance. GECCO (2021)
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) (2020)
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)