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7885 Publications
2020 | Conference Paper | LibreCat-ID: 17084
N. Weidmann and A. Anjorin, “Schema Compliant Consistency Management via Triple Graph Grammars and Integer Linear Programming,” in Proceedings of the 23rd International Conference on Fundamental Approaches to Software Engineering, FASE 2020, Dublin, Ireland, 2020.
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2020 | Conference Paper | LibreCat-ID: 17089 |
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D. Dreiling, D. T. Itner, N. Feldmann, H. Gravenkamp, and B. Henning, “Increasing the sensitivity in the determination of material parameters by using arbitrary loads in ultrasonic transmission measurements,” presented at the Sensor and Measurement Science International, Nürnberg, 2020.
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2020 | Conference Paper | LibreCat-ID: 15490 |
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L. Claes, E. Baumhögger, T. Rüther, J. Gierse, T. Tröster, and B. Henning, “Reduction of systematic measurement deviation in acoustic absorption measurement systems,” in Fortschritte der Akustik - DAGA 2020, 2020, pp. 1077–1080.
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2020 | Conference Paper | LibreCat-ID: 15580
J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning,” in Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), Valetta, Malta, 2020, pp. 391--400.
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2020 | Conference Paper | LibreCat-ID: 15582
B. Buff, J. Kersting, and M. Geierhos, “Detection of Privacy Disclosure in the Medical Domain: A Survey,” in Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), Valetta, Malta, 2020, pp. 630--637.
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2020 | Conference Paper | LibreCat-ID: 15629
M. D. Wever, A. Tornede, F. Mohr, and E. Hüllermeier, “LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification,” presented at the Symposium on Intelligent Data Analysis, Konstanz, Germany.
LibreCat
2020 | Conference Paper | LibreCat-ID: 15635
J. Kersting and M. Geierhos, “Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis,” in Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, North Miami Beach, FL, USA, 2020, pp. 282--285.
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2020 | Journal Article | LibreCat-ID: 15025
M. D. Wever, L. van Rooijen, and H. Hamann, “Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets,” Evolutionary Computation, vol. 28, no. 2, pp. 165–193, 2020, doi: 10.1162/evco_a_00266.
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2020 | Conference Paper | LibreCat-ID: 15163
N. Feldmann, V. Schulze, B. Jurgelucks, and B. Henning, “Solving piezoelectric inverse problems using Algorithmic Differentiation,” in Fortschritte der Akustik - DAGA 2020, 2020, pp. 1125–1128.
LibreCat
2020 | Conference Paper | LibreCat-ID: 15256
J. Kersting and M. Geierhos, “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers,” in Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, Valetta, Malta, 2020, pp. 263--272.
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2020 | Journal Article | LibreCat-ID: 16249 |
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E. Szubartowicz and G. Schryen, “Timing in Information Security: An Event Study on the Impact of Information Security Investment Announcements,” Journal of Information System Security, vol. 16, no. 1, pp. 3–31, 2020.
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2020 | Journal Article | LibreCat-ID: 21252
A. Traue, G. Book, W. Kirchgässner, and O. Wallscheid, “Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1–10, 2020, doi: 10.1109/tnnls.2020.3029573.
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2020 | Conference Paper | LibreCat-ID: 29884
J. Böcker, “Analysis of the Magnetic Skin Effekt in Motors and Inductors,” presented at the SPEEDAM, 2020, doi: 10.1109/speedam48782.2020.9161895.
LibreCat
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2020 | Conference Paper | LibreCat-ID: 19422
A. Sprenger, S. Sadeghi-Kohan, J. D. Reimer, and S. Hellebrand, “Variation-Aware Test for Logic Interconnects using Neural Networks - A Case Study,” 2020.
LibreCat
2020 | Journal Article | LibreCat-ID: 21250
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Estimating Electric Motor Temperatures with Deep Residual Machine Learning,” IEEE Transactions on Power Electronics, vol. 36, no. 7, pp. 7480–7488, 2020, doi: 10.1109/tpel.2020.3045596.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 29939
R. Unruh, F. Schafmeister, and J. Böcker, “Evaluation of MMCs for High-Power Low-Voltage DC-Applications in Combination with the Module LLC-Design,” presented at the 22nd European Conference on Power Electronics and Applications (EPE’20 ECCE Europe), Lyon, France, 2020, doi: 10.23919/epe20ecceeurope43536.2020.9215687.
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