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2188 Publications
2021 | Journal Article | LibreCat-ID: 22162
Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments
G. Book, A. Traue, P. Balakrishna, A. Brosch, M. Schenke, S. Hanke, W. Kirchgässner, O. Wallscheid, IEEE Open Journal of Power Electronics (2021) 187–201.
LibreCat
| DOI
G. Book, A. Traue, P. Balakrishna, A. Brosch, M. Schenke, S. Hanke, W. Kirchgässner, O. Wallscheid, IEEE Open Journal of Power Electronics (2021) 187–201.
2021 | Conference Paper | LibreCat-ID: 30031
Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach
M. Stender, O. Wallscheid, J. Böcker, in: 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC), IEEE, 2021.
LibreCat
| DOI
M. Stender, O. Wallscheid, J. Böcker, in: 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC), IEEE, 2021.
2021 | Journal Article | LibreCat-ID: 21251
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark
W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Energy Conversion 36 (2021) 2059–2067.
LibreCat
| DOI
W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Energy Conversion 36 (2021) 2059–2067.
2021 | Journal Article | LibreCat-ID: 25031
A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors
M. Schenke, O. Wallscheid, IEEE Open Journal of the Industrial Electronics Society (2021) 388–400.
LibreCat
| DOI
M. Schenke, O. Wallscheid, IEEE Open Journal of the Industrial Electronics Society (2021) 388–400.
2021 | Journal Article | LibreCat-ID: 29662
Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning
M. Schenke, O. Wallscheid, ArXiv Preprint ArXiv:2105.08990 (2021).
LibreCat
M. Schenke, O. Wallscheid, ArXiv Preprint ArXiv:2105.08990 (2021).
2021 | Conference Paper | LibreCat-ID: 25297
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
M. Alshomary, T. Gurcke, S. Syed, P. Heinisch, M. Spliethöver, P. Cimiano, M. Potthast, H. Wachsmuth, in: Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 184–189.
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| Download (ext.)
M. Alshomary, T. Gurcke, S. Syed, P. Heinisch, M. Spliethöver, P. Cimiano, M. Potthast, H. Wachsmuth, in: Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 184–189.
2021 | Journal Article | LibreCat-ID: 30650
Data-driven analysis of cold-formed pin structure characteristics in the context of versatile joining processes
D. Römisch, C. Zirngibl, B. Schleich, S. Wartzack, M. Merklein, IOP Conference Series: Materials Science and Engineering 1157 (2021) 012077.
LibreCat
| DOI
D. Römisch, C. Zirngibl, B. Schleich, S. Wartzack, M. Merklein, IOP Conference Series: Materials Science and Engineering 1157 (2021) 012077.
2021 | Conference Paper | LibreCat-ID: 30725
Testification of Condorcet Winners in dueling bandits
B. Haddenhorst, V. Bengs, J. Brandt, E. Hüllermeier, in: C. de Campos, M.H. Maathuis (Eds.), Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, PMLR, 2021, pp. 1195–1205.
LibreCat
B. Haddenhorst, V. Bengs, J. Brandt, E. Hüllermeier, in: C. de Campos, M.H. Maathuis (Eds.), Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, PMLR, 2021, pp. 1195–1205.
2021 | Conference Paper | LibreCat-ID: 27381
Ranking Structured Objects with Graph Neural Networks
C. Damke, E. Hüllermeier, in: C. Soares, L. Torgo (Eds.), Proceedings of The 24th International Conference on Discovery Science (DS 2021), Springer, 2021, pp. 166–180.
LibreCat
| DOI
| arXiv
C. Damke, E. Hüllermeier, in: C. Soares, L. Torgo (Eds.), Proceedings of The 24th International Conference on Discovery Science (DS 2021), Springer, 2021, pp. 166–180.
2021 | Preprint | LibreCat-ID: 30866
Towards Green Automated Machine Learning: Status Quo and Future Directions
T. Tornede, A. Tornede, J.M. Hanselle, M.D. Wever, F. Mohr, E. Hüllermeier, ArXiv:2111.05850 (2021).
LibreCat
| arXiv
T. Tornede, A. Tornede, J.M. Hanselle, M.D. Wever, F. Mohr, E. Hüllermeier, ArXiv:2111.05850 (2021).
2021 | Dissertation | LibreCat-ID: 27284 | 
Automated Machine Learning for Multi-Label Classification
M.D. Wever, Automated Machine Learning for Multi-Label Classification, 2021.
LibreCat
| Files available
| DOI
M.D. Wever, Automated Machine Learning for Multi-Label Classification, 2021.
2021 | Journal Article | LibreCat-ID: 30906
Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis
A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, S. Dosen, Journal of NeuroEngineering and Rehabilitation 18 (2021).
LibreCat
| DOI
A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, S. Dosen, Journal of NeuroEngineering and Rehabilitation 18 (2021).
2021 | Conference Paper | LibreCat-ID: 26821
Fügen und Trennen von Kfz-Karosseriestrukturen in Leichtbauweise
T.M. Wibbeke, A. Bartley, N. Chudalla, G. Meschut, in: Fahrzeug + Karosserie Und Kfz-Betrieb (Hrsg,); Tagungsband Zu Den Würzburger Karosserie- Und Schadenstagen 22./23. Oktober 2021, 2021.
LibreCat
T.M. Wibbeke, A. Bartley, N. Chudalla, G. Meschut, in: Fahrzeug + Karosserie Und Kfz-Betrieb (Hrsg,); Tagungsband Zu Den Würzburger Karosserie- Und Schadenstagen 22./23. Oktober 2021, 2021.
2021 | Journal Article | LibreCat-ID: 20212 |
Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach
J. Prester, G. Wagner, G. Schryen, N.R. Hassan, Decision Support Systems 140 (2021).
LibreCat
| Files available
J. Prester, G. Wagner, G. Schryen, N.R. Hassan, Decision Support Systems 140 (2021).
2021 | Dissertation | LibreCat-ID: 32057 |
The Computation and Analysis of Invariant Sets of Infinite-Dimensional Systems
R. Gerlach, The Computation and Analysis of Invariant Sets of Infinite-Dimensional Systems, 2021.
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| DOI
| Download (ext.)
R. Gerlach, The Computation and Analysis of Invariant Sets of Infinite-Dimensional Systems, 2021.
2021 | Preprint | LibreCat-ID: 32244
Towards Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms
R. Schade, T. Kenter, H. Elgabarty, M. Lass, O. Schütt, A. Lazzaro, H. Pabst, S. Mohr, J. Hutter, T.D. Kühne, C. Plessl, ArXiv:2104.08245 (2021).
LibreCat
| arXiv
R. Schade, T. Kenter, H. Elgabarty, M. Lass, O. Schütt, A. Lazzaro, H. Pabst, S. Mohr, J. Hutter, T.D. Kühne, C. Plessl, ArXiv:2104.08245 (2021).
2021 | Book Chapter | LibreCat-ID: 22052
Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting
J. Kersting, M. Geierhos, in: E. Kapetanios, H. Horacek, E. Métais, F. Meziane (Eds.), Natural Language Processing and Information Systems, Springer, Saarbrücken, Germany, 2021, pp. 231--242.
LibreCat
| Files available
J. Kersting, M. Geierhos, in: E. Kapetanios, H. Horacek, E. Métais, F. Meziane (Eds.), Natural Language Processing and Information Systems, Springer, Saarbrücken, Germany, 2021, pp. 231--242.
2021 | Working Paper | LibreCat-ID: 33854 |
DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning
S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.
LibreCat
| Files available
S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.
2021 | Conference Paper | LibreCat-ID: 29137
Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS
T. Hansmeier, in: HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, Association for Computing Machinery (ACM), New York, NY, United States, 2021.
LibreCat
| DOI
T. Hansmeier, in: HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, Association for Computing Machinery (ACM), New York, NY, United States, 2021.
2021 | Journal Article | LibreCat-ID: 34481
An Exploratory Meta-Analytic Review on the Empirical Evidence of Differential Learning as an Enhanced Motor Learning Method
B. Tassignon, J. Verschueren, J.-P. Baeyens, A. Benjaminse, A. Gokeler, B. Serrien, R. Clijsen, Frontiers in Psychology 12 (2021).
LibreCat
| DOI
B. Tassignon, J. Verschueren, J.-P. Baeyens, A. Benjaminse, A. Gokeler, B. Serrien, R. Clijsen, Frontiers in Psychology 12 (2021).