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9804 Publications


2023 | Journal Article | LibreCat-ID: 47824
Brock, J., von Enzberg, S., Kühn, A., & Dumitrescu, R. (2023). Process Mining Data Canvas: A method to identify data and process knowledge for data collection and preparation in process mining projects. Procedia CIRP, 119, 602–607. https://doi.org/10.1016/j.procir.2023.03.114
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2023 | Journal Article | LibreCat-ID: 47826
Wilke, D., Schierbaum, A., Anacker, H., & Dumitrescu, R. (2023). Targeted-oriented selection of engineering methods. Procedia CIRP, 119, 788–793. https://doi.org/10.1016/j.procir.2023.02.166
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2023 | Dissertation | LibreCat-ID: 47833
König, J. (2023). On the Membership and Correctness Problem for State Serializability and Value Opacity.
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2023 | Dissertation | LibreCat-ID: 47837
Hansmeier, T. (2023). XCS for Self-awareness in Autonomous Computing Systems.
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2023 | Conference Paper | LibreCat-ID: 32407
Gharibian, S., Hayakawa, R., Gall, F. L., & Morimae, T. (2023). Improved Hardness Results for the Guided Local Hamiltonian Problem. Proceedings of the 50th EATCS International Colloquium on Automata, Languages and Programming (ICALP), 261(32), 1–19. https://doi.org/10.4230/LIPIcs.ICALP.2023.32
LibreCat | DOI | arXiv
 

2023 | Journal Article | LibreCat-ID: 48051
Humpert, L., Wäschle, M., Horstmeyer, S., Anacker, H., Dumitrescu, R., & Albers, A. (2023). Stakeholder-oriented Elaboration of Artificial Intelligence use cases using the example of Special-Purpose engineering. Procedia CIRP, 119, 693–698. https://doi.org/10.1016/j.procir.2023.02.160
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2023 | Journal Article | LibreCat-ID: 48059
Winkel, F., Wallscheid, O., Scholz, P., & Böcker, J. (2023). Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays. IEEE Open Journal of the Industrial Electronics Society, 1–14. https://doi.org/10.1109/ojies.2023.3323870
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2023 | Journal Article | LibreCat-ID: 48058
Winkel, F., Deuse-Kleinsteuber, J., & Böcker, J. (2023). Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning. IEEE Transactions on Reliability, 1–14. https://doi.org/10.1109/tr.2023.3255786
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2023 | Conference Paper | LibreCat-ID: 47522
Prager, R. P., Dietrich, K., Schneider, L., Schäpermeier, L., Bischl, B., Kerschke, P., Trautmann, H., & Mersmann, O. (2023). Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 129–139. https://doi.org/10.1145/3594805.3607136
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2023 | Conference Paper | LibreCat-ID: 46297
Prager, R. P., & Trautmann, H. (2023). Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. In J. Correia, S. Smith, & R. Qaddoura (Eds.), Applications of Evolutionary Computation (pp. 411–425). Springer Nature Switzerland.
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2023 | Conference Paper | LibreCat-ID: 46298
Schäpermeier, L., Kerschke, P., Grimme, C., & Trautmann, H. (2023). Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. In M. Emmerich, A. Deutz, H. Wang, A. V. Kononova, B. Naujoks, K. Li, K. Miettinen, & I. Yevseyeva (Eds.), Evolutionary Multi-Criterion Optimization (pp. 291–304). Springer Nature Switzerland.
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2023 | Journal Article | LibreCat-ID: 46299
Prager, R. P., & Trautmann, H. (2023). Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. Evolutionary Computation, 1–25. https://doi.org/10.1162/evco_a_00341
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2023 | Conference Paper | LibreCat-ID: 48289
Habernal, I., Mireshghallah, F., Thaine, P., Ghanavati, S., & Feyisetan, O. (2023). Privacy-Preserving Natural Language Processing. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts. https://doi.org/10.18653/v1/2023.eacl-tutorials.6
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2023 | Conference Paper | LibreCat-ID: 48288
Matzken, C., Eger, S., & Habernal, I. (2023). Trade-Offs Between Fairness and Privacy in Language Modeling. Findings of the Association for Computational Linguistics: ACL 2023. https://doi.org/10.18653/v1/2023.findings-acl.434
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2023 | Conference Paper | LibreCat-ID: 48291
Mouhammad, N., Daxenberger, J., Schiller, B., & Habernal, I. (2023). Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting. Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII). https://doi.org/10.18653/v1/2023.law-1.8
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2023 | Conference Paper | LibreCat-ID: 48296
Yin, Y., & Habernal, I. (2023). Privacy-Preserving Models for Legal Natural Language Processing. Proceedings of the Natural Legal Language Processing Workshop 2022. https://doi.org/10.18653/v1/2022.nllp-1.14
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2023 | Conference Paper | LibreCat-ID: 48352
Unruh, R., Böcker, J., & Schafmeister, F. (2023). An Optimized Third-Harmonic Injection Reduces DC-Link Voltage Ripple in Cascaded H-Bridge Converters up to 50% for all Power Factors. 2023 25th European Conference on Power Electronics and Applications (EPE’23 ECCE Europe). 2023 25th European Conference on Power Electronics and Applications (EPE’23 ECCE Europe), Aalborg, Denmark. https://doi.org/10.23919/epe23ecceeurope58414.2023.10264313
LibreCat | DOI | Download (ext.)
 

2023 | Conference Paper | LibreCat-ID: 48093
Pena, M., Meyer, M., Wallscheid, O., & Böcker, J. (2023). Fade-Over Strategy for use of Model Predictive Direct Self-Control with Field-Oriented Control. 2023 IEEE International Electric Machines and Drives Conference (IEMDC). 2023 IEEE International Electric Machines and Drives Conference (IEMDC), San Francisco. https://doi.org/10.1109/iemdc55163.2023.10239056
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2023 | Bachelorsthesis | LibreCat-ID: 48430
Decking, L. (2023). Zuweisung verteilter Speicher unter Maximierung der minimalen gewichteten Bandbreite.
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2023 | Conference Paper | LibreCat-ID: 48269 | OA
Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2023). On the Integration of Sampling Rate Synchronization and Acoustic Beamforming. European Signal Processing Conference (EUSIPCO). European Signal Processing Conference (EUSIPCO), Helsinki.
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