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2188 Publications


2021 | Journal Article | LibreCat-ID: 22162
Book, Gerrit, Arne Traue, Praneeth Balakrishna, Anian Brosch, Maximilian Schenke, Sören Hanke, Wilhelm Kirchgässner, and Oliver Wallscheid. “Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments.” IEEE Open Journal of Power Electronics, 2021, 187–201. https://doi.org/10.1109/ojpel.2021.3065877.
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2021 | Conference Paper | LibreCat-ID: 30031
Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach.” In 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC). IEEE, 2021. https://doi.org/10.1109/pemc48073.2021.9432615.
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2021 | Journal Article | LibreCat-ID: 21251
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark.” IEEE Transactions on Energy Conversion 36, no. 3 (2021): 2059–67. https://doi.org/10.1109/tec.2021.3052546.
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2021 | Journal Article | LibreCat-ID: 25031
Schenke, Maximilian, and Oliver Wallscheid. “A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors.” IEEE Open Journal of the Industrial Electronics Society, 2021, 388–400. https://doi.org/10.1109/ojies.2021.3075521.
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2021 | Journal Article | LibreCat-ID: 29662
Schenke, Maximilian, and Oliver Wallscheid. “Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning.” ArXiv Preprint ArXiv:2105.08990, 2021.
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2021 | Conference Paper | LibreCat-ID: 25297
Alshomary, Milad, Timon Gurcke, Shahbaz Syed, Philipp Heinisch, Maximilian Spliethöver, Philipp Cimiano, Martin Potthast, and Henning Wachsmuth. “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization.” In Proceedings of the 8th Workshop on Argument Mining, 184–89, 2021.
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2021 | Journal Article | LibreCat-ID: 30650
Römisch, D., 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 1157 (2021): 012077. https://doi.org/10.1088/1757-899X/1157/1/012077.
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2021 | Conference Paper | LibreCat-ID: 30725
Haddenhorst, Björn, Viktor Bengs, Jasmin Brandt, and Eyke Hüllermeier. “Testification of Condorcet Winners in Dueling Bandits.” In Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, edited by Cassio de Campos and Marloes H. Maathuis, 161:1195–1205. Proceedings of Machine Learning Research. PMLR, 2021.
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2021 | Conference Paper | LibreCat-ID: 27381
Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with Graph Neural Networks.” In Proceedings of The 24th International Conference on Discovery Science (DS 2021), edited by Carlos Soares and Luis Torgo, 12986:166–80. Lecture Notes in Computer Science. Springer, 2021. https://doi.org/10.1007/978-3-030-88942-5.
LibreCat | DOI | arXiv
 

2021 | Preprint | LibreCat-ID: 30866
Tornede, Tanja, Alexander Tornede, Jonas Manuel Hanselle, Marcel Dominik Wever, Felix Mohr, and Eyke Hüllermeier. “Towards Green Automated Machine Learning: Status Quo and Future Directions.” ArXiv:2111.05850, 2021.
LibreCat | arXiv
 

2021 | Dissertation | LibreCat-ID: 27284 | OA
Wever, Marcel Dominik. Automated Machine Learning for Multi-Label Classification, 2021. https://doi.org/10.17619/UNIPB/1-1302.
LibreCat | Files available | DOI
 

2021 | Journal Article | LibreCat-ID: 30906
Boschmann, Alexander, Dorothee Neuhaus, Sarah Vogt, Christian Kaltschmidt, Marco Platzner, and Strahinja Dosen. “Immersive Augmented Reality System for the Training of Pattern Classification Control with a Myoelectric Prosthesis.” Journal of NeuroEngineering and Rehabilitation 18, no. 1 (2021). https://doi.org/10.1186/s12984-021-00822-6.
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2021 | Conference Paper | LibreCat-ID: 26821
Wibbeke, Tim Michael, Auerélie Bartley, Nick Chudalla, and Gerson Meschut. “Fügen Und Trennen von Kfz-Karosseriestrukturen in Leichtbauweise.” In Fahrzeug + Karosserie Und Kfz-Betrieb (Hrsg,); Tagungsband Zu Den Würzburger Karosserie- Und Schadenstagen 22./23. Oktober 2021, 2021.
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2021 | Journal Article | LibreCat-ID: 20212 | OA
Prester, Julian, Gerit Wagner, Guido Schryen, and Nik Rushdi Hassan. “Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach.” Decision Support Systems 140, no. January (2021).
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2021 | Dissertation | LibreCat-ID: 32057 | OA
Gerlach, Raphael. The Computation and Analysis of Invariant Sets of Infinite-Dimensional Systems, 2021. https://doi.org/10.17619/UNIPB/1-1278.
LibreCat | DOI | Download (ext.)
 

2021 | Preprint | LibreCat-ID: 32244
Schade, Robert, Tobias Kenter, Hossam Elgabarty, Michael Lass, Ole Schütt, Alfio Lazzaro, Hans Pabst, et al. “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics  Simulations with Hundreds of Millions of Atoms.” ArXiv:2104.08245, 2021.
LibreCat | arXiv
 

2021 | Book Chapter | LibreCat-ID: 22052
Kersting, Joschka, and Michaela Geierhos. “Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting.” In Natural Language Processing and Information Systems, edited by Epaminondas Kapetanios, Helmut Horacek, Elisabeth Métais, and Farid Meziane, 12801:231--242. Lecture Notes in Computer Science. Saarbrücken, Germany: Springer, 2021.
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2021 | Working Paper | LibreCat-ID: 33854 | OA
Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.
LibreCat | Files available
 

2021 | Conference Paper | LibreCat-ID: 29137
Hansmeier, Tim. “Self-Aware Operation of Heterogeneous Compute Nodes Using the Learning Classifier System XCS.” In HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. New York, NY, United States: Association for Computing Machinery (ACM), 2021. https://doi.org/10.1145/3468044.3468055.
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 34481
Tassignon, Bruno, Jo Verschueren, Jean-Pierre Baeyens, Anne Benjaminse, Alli Gokeler, Ben Serrien, and Ron Clijsen. “An Exploratory Meta-Analytic Review on the Empirical Evidence of Differential Learning as an Enhanced Motor Learning Method.” Frontiers in Psychology 12 (2021). https://doi.org/10.3389/fpsyg.2021.533033.
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