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2183 Publications
2021 | Journal Article | LibreCat-ID: 23023
Xin, Y., Zargariantabrizi, A. A., Grundmeier, G., & Keller, A. (2021). Magnesium-Free Immobilization of DNA Origami Nanostructures at Mica Surfaces for Atomic Force Microscopy. Molecules, 26, 4798. https://doi.org/10.3390/molecules26164798
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| DOI
2021 | Journal Article | LibreCat-ID: 21808 | 
Schneider, S. B., Khalili, R., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., & Hecker, A. (2021). Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management. https://doi.org/10.1109/TNSM.2021.3076503
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2021 | Journal Article | LibreCat-ID: 21927
Rumlich, D. (2021). 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, 9(1), 150–154. https://doi.org/10.1075/jicb.20026.rum
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| DOI
2021 | Conference Paper | LibreCat-ID: 22051
Kersting, J., & Geierhos, M. (2021). Well-being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations. Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), 275--284.
LibreCat
2021 | Journal Article | LibreCat-ID: 22162
Book, G., Traue, A., Balakrishna, P., Brosch, A., Schenke, M., Hanke, S., Kirchgässner, W., & Wallscheid, O. (2021). Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments. IEEE Open Journal of Power Electronics, 187–201. https://doi.org/10.1109/ojpel.2021.3065877
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2021 | Conference Paper | LibreCat-ID: 30031
Stender, M., Wallscheid, O., & Böcker, J. (2021). Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach. 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC). https://doi.org/10.1109/pemc48073.2021.9432615
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2021 | Journal Article | LibreCat-ID: 21251
Kirchgässner, W., Wallscheid, O., & Böcker, J. (2021). Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark. IEEE Transactions on Energy Conversion, 36(3), 2059–2067. https://doi.org/10.1109/tec.2021.3052546
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| DOI
2021 | Journal Article | LibreCat-ID: 25031
Schenke, M., & Wallscheid, O. (2021). A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors. IEEE Open Journal of the Industrial Electronics Society, 388–400. https://doi.org/10.1109/ojies.2021.3075521
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| DOI
2021 | Journal Article | LibreCat-ID: 29662
Schenke, M., & Wallscheid, O. (2021). Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning. ArXiv Preprint ArXiv:2105.08990.
LibreCat
2021 | Conference Paper | LibreCat-ID: 25297
Alshomary, M., Gurcke, T., Syed, S., Heinisch, P., Spliethöver, M., Cimiano, P., Potthast, M., & Wachsmuth, H. (2021). Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. Proceedings of the 8th Workshop on Argument Mining, 184–189.
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2021 | Journal Article | LibreCat-ID: 30650
Römisch, D., Zirngibl, C., Schleich, B., Wartzack, S., & Merklein, M. (2021). Data-driven analysis of cold-formed pin structure characteristics in the context of versatile joining processes. IOP Conference Series: Materials Science and Engineering, 1157, 012077. https://doi.org/10.1088/1757-899X/1157/1/012077
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2021 | Conference Paper | LibreCat-ID: 30725
Haddenhorst, B., Bengs, V., Brandt, J., & Hüllermeier, E. (2021). Testification of Condorcet Winners in dueling bandits. In C. de Campos & M. H. Maathuis (Eds.), Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence (Vol. 161, pp. 1195–1205). PMLR.
LibreCat
2021 | Conference Paper | LibreCat-ID: 27381
Damke, C., & Hüllermeier, E. (2021). Ranking Structured Objects with Graph Neural Networks. In C. Soares & L. Torgo (Eds.), Proceedings of The 24th International Conference on Discovery Science (DS 2021) (Vol. 12986, pp. 166–180). Springer. https://doi.org/10.1007/978-3-030-88942-5
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| DOI
| arXiv
2021 | Dissertation | LibreCat-ID: 27284 |
Wever, M. D. (2021). Automated Machine Learning for Multi-Label Classification. https://doi.org/10.17619/UNIPB/1-1302
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2021 | Journal Article | LibreCat-ID: 30906
Boschmann, A., Neuhaus, D., Vogt, S., Kaltschmidt, C., Platzner, M., & Dosen, S. (2021). Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis. Journal of NeuroEngineering and Rehabilitation, 18(1), Article 25. https://doi.org/10.1186/s12984-021-00822-6
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2021 | Conference Paper | LibreCat-ID: 26821
Wibbeke, T. M., Bartley, A., Chudalla, N., & Meschut, G. (2021). Fügen und Trennen von Kfz-Karosseriestrukturen in Leichtbauweise. Fahrzeug + Karosserie Und Kfz-Betrieb (Hrsg,); Tagungsband Zu Den Würzburger Karosserie- Und Schadenstagen 22./23. Oktober 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 20212 |
Prester, J., Wagner, G., Schryen, G., & Hassan, N. R. (2021). Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach. Decision Support Systems, 140(January), Article 113432.
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2021 | Dissertation | LibreCat-ID: 32057 |
Gerlach, R. (2021). The Computation and Analysis of Invariant Sets of Infinite-Dimensional Systems. https://doi.org/10.17619/UNIPB/1-1278
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2021 | Preprint | LibreCat-ID: 32244
Schade, R., Kenter, T., Elgabarty, H., Lass, M., Schütt, O., Lazzaro, A., Pabst, H., Mohr, S., Hutter, J., Kühne, T. D., & Plessl, C. (2021). Towards Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms. In arXiv:2104.08245.
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| arXiv