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367 Publications
2022 | Journal Article | LibreCat-ID: 33090
Gevers, Karina, et al. “A Comparison of Heuristic, Statistical, and Machine Learning Methods for Heated Tool Butt Welding of Two Different Materials.” Welding in the World, Springer Science and Business Media LLC, 2022, doi:10.1007/s40194-022-01339-9.
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| DOI
2022 | Conference (Editor) | LibreCat-ID: 53803 | 
Kersting, Joschka, editor. PATTERNS 2022 The Fourteenth International Conferences on Pervasive Patterns and Applications. IARIA, 2022.
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2022 | Dissertation | LibreCat-ID: 34041
Witschen, Linus Matthias. Frameworks and Methodologies for Search-Based Approximate Logic Synthesis. 2022, doi:10.17619/UNIPB/1-1649.
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| DOI
2022 | Conference Paper | LibreCat-ID: 32342
Ahmed, Qazi Arbab, and Marco Platzner. On the Detection and Circumvention of Bitstream-Level Trojans in FPGAs. IEEE Computer Society Annual Symposium on VLSI (ISVLSI,2022), 2022.
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2022 | Mastersthesis | LibreCat-ID: 29000
Ahmed, Mobeen. Knowledge Base Enhanced & User-Centric Dialogue Design for OTF Computing. 2022.
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2022 | Bachelorsthesis | LibreCat-ID: 45790
Palushi, Juela. Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks. 2022.
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2022 | Mastersthesis | LibreCat-ID: 45789
Budanurmath, Vinaykumar. Propaganda Technique Detection Using Connotation Frames. 2022.
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2022 | Conference Paper | LibreCat-ID: 45248
Dongol, Brijesh, et al. “Weak Progressive Forward Simulation Is Necessary and Sufficient for Strong Observational Refinement.” 33rd International Conference on Concurrency Theory, CONCUR 2022, September 12-16, 2022, Warsaw, Poland, edited by Bartek Klin et al., vol. 243, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, p. 31:1–31:23, doi:10.4230/LIPIcs.CONCUR.2022.31.
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| DOI
2021 | Conference Paper | LibreCat-ID: 28350
Sharma, Arnab, et al. “MLCHECK–Property-Driven Testing of Machine Learning Classifiers.” Proceedings of the 20th IEEE International Conference on Machine Learning and Applications (ICMLA), IEEE.
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2021 | Conference Paper | LibreCat-ID: 26049
Bäumer, Frederik Simon, et al. “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING.” PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, IADIS, 2021, pp. 221--225.
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2021 | Dissertation | LibreCat-ID: 26746 |
Wiersema, Tobias. Guaranteeing Properties of Reconfigurable Hardware Circuits with Proof-Carrying Hardware. Paderborn University, 2021.
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2021 | Journal Article | LibreCat-ID: 27045 |
Luo, Linghui, et al. “TaintBench: Automatic Real-World Malware Benchmarking of Android Taint Analyses.” Empirical Software Engineering, 2021, doi:10.1007/s10664-021-10013-5.
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2021 | Journal Article | LibreCat-ID: 21004
Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, pp. 1–1, doi:10.1109/tpami.2021.3051276.
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2021 | Journal Article | LibreCat-ID: 21092
Mohr, Felix, et al. “Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE.
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2021 | Conference Paper | LibreCat-ID: 21570
Tornede, Tanja, et al. “Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance.” Proceedings of the Genetic and Evolutionary Computation Conference, 2021.
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2021 | Book Chapter | LibreCat-ID: 17905
Kersting, Joschka, and Michaela Geierhos. “Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks.” Natural Language Processing in Artificial Intelligence -- NLPinAI 2020, edited by Roussanka Loukanova, vol. 939, Springer, 2021, pp. 163--189, doi:10.1007/978-3-030-63787-3_6.
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2021 | Mastersthesis | LibreCat-ID: 22304 |
Schott, Stefan. Android App Analysis Benchmark Case Generation. 2021.
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2021 | Conference Paper | LibreCat-ID: 22913
Hüllermeier, Eyke, et al. Automated Machine Learning, Bounded Rationality, and Rational Metareasoning. 2021.
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2021 | Conference Paper | LibreCat-ID: 22927
Derrick, John, et al. “On Strong Observational Refinement and Forward Simulation.” Proceedings of the 35th International Symposium on Distributed Computing (DISC), Schloß Dagstuhl.
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2021 | Conference Paper | LibreCat-ID: 22051
Kersting, Joschka, and Michaela Geierhos. “Well-Being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations.” Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), SCITEPRESS, 2021, pp. 275--284.
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