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2152 Publications
2021 | Conference Paper | LibreCat-ID: 22913
E. Hüllermeier, F. Mohr, A. Tornede, and M. D. Wever, “Automated Machine Learning, Bounded Rationality, and Rational Metareasoning,” presented at the ECML/PKDD Workshop on Automating Data Science, Bilbao (Virtual), 2021.
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2021 | Conference Paper | LibreCat-ID: 22914
F. Mohr and M. D. Wever, “Replacing the Ex-Def Baseline in AutoML by Naive AutoML,” presented at the 8th ICML Workshop on Automated Machine Learning, Virtual, 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 21808 | 
S. B. Schneider et al., “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning,” Transactions on Network and Service Management, 2021.
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| DOI
2021 | Journal Article | LibreCat-ID: 21927
D. Rumlich, “Review of Liss Kerstin Sylvén (Ed.). (2019). Investigating content and language integrated learning. Insights from Swedish high schools,” Journal of Immersion and Content-Based Language Education, vol. 9, no. 1, pp. 150–154, 2021.
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| DOI
2021 | Conference Paper | LibreCat-ID: 22051
J. Kersting and M. Geierhos, “Well-being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations,” in Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), Online, 2021, pp. 275--284.
LibreCat
2021 | Journal Article | LibreCat-ID: 22162
G. Book et al., “Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments,” IEEE Open Journal of Power Electronics, pp. 187–201, 2021, doi: 10.1109/ojpel.2021.3065877.
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| DOI
2021 | Conference Paper | LibreCat-ID: 30031
M. Stender, O. Wallscheid, and J. Böcker, “Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach,” 2021, doi: 10.1109/pemc48073.2021.9432615.
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| DOI
2021 | Journal Article | LibreCat-ID: 21251
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark,” IEEE Transactions on Energy Conversion, vol. 36, no. 3, pp. 2059–2067, 2021, doi: 10.1109/tec.2021.3052546.
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| DOI
2021 | Journal Article | LibreCat-ID: 25031
M. Schenke and O. Wallscheid, “A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors,” IEEE Open Journal of the Industrial Electronics Society, pp. 388–400, 2021, doi: 10.1109/ojies.2021.3075521.
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| DOI
2021 | Journal Article | LibreCat-ID: 29662
M. Schenke and O. Wallscheid, “Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning,” arXiv preprint arXiv:2105.08990, 2021.
LibreCat
2021 | Conference Paper | LibreCat-ID: 25297
M. Alshomary et al., “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization,” in Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 184–189.
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2021 | Journal Article | LibreCat-ID: 30650
D. Römisch, C. Zirngibl, B. Schleich, S. Wartzack, and M. Merklein, “Data-driven analysis of cold-formed pin structure characteristics in the context of versatile joining processes,” IOP Conference Series: Materials Science and Engineering, vol. 1157, p. 012077, 2021, doi: 10.1088/1757-899X/1157/1/012077.
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| DOI
2021 | Conference Paper | LibreCat-ID: 30725
B. Haddenhorst, V. Bengs, J. Brandt, and E. Hüllermeier, “Testification of Condorcet Winners in dueling bandits,” in Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021, vol. 161, pp. 1195–1205.
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2021 | Conference Paper | LibreCat-ID: 27381
C. Damke and E. Hüllermeier, “Ranking Structured Objects with Graph Neural Networks,” in Proceedings of The 24th International Conference on Discovery Science (DS 2021), Halifax, Canada, 2021, vol. 12986, pp. 166–180, doi: 10.1007/978-3-030-88942-5.
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| DOI
| arXiv
2021 | Dissertation | LibreCat-ID: 27284 |
M. D. Wever, Automated Machine Learning for Multi-Label Classification. 2021.
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| DOI
2021 | Journal Article | LibreCat-ID: 30906
A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, and S. Dosen, “Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis,” Journal of NeuroEngineering and Rehabilitation, vol. 18, no. 1, Art. no. 25, 2021, doi: 10.1186/s12984-021-00822-6.
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| DOI
2021 | Conference Paper | LibreCat-ID: 26821
T. M. Wibbeke, A. Bartley, N. Chudalla, and G. Meschut, “Fügen und Trennen von Kfz-Karosseriestrukturen in Leichtbauweise,” 2021.
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