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367 Publications
2020 | Conference Paper | LibreCat-ID: 3776
Chen W-F, Al-Khatib K, Wachsmuth H, Stein B. Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. In: Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science. ; 2020:149-154.
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2020 | Conference Paper | LibreCat-ID: 20137
Syed S, Chen W-F, Hagen M, Stein B, Wachsmuth H, Potthast M. Task Proposal: Abstractive Snippet Generation for Web Pages. In: Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020). ; 2020:237-241.
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2020 | Conference Paper | LibreCat-ID: 3818
Chen W-F, Al-Khatib K, Stein B, Wachsmuth H. Detecting Media Bias in News Articles using Gaussian Bias Distributions. In: Findings of the Association for Computational Linguistics: EMNLP 2020. ; 2020:4290-4300.
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2020 | Conference Paper | LibreCat-ID: 15826
Chen W-F, Syed S, Stein B, Hagen M, Potthast M. Abstractive Snippet Generation. In: Proceedings of the Web Conference 2020. ; 2020:1309-1319.
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2020 | Conference Paper | LibreCat-ID: 16868
Alshomary M, Syed S, Potthast M, Wachsmuth H. Target Inference in Argument Conclusion Generation. In: Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics; 2020:4334-4345.
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2019 | Conference Paper | LibreCat-ID: 3287 | 
Schneider SB, Sharma A, Karl H, Wehrheim H. Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets. In: 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM). Washington, DC, USA: IFIP; 2019:116--124.
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2019 | Journal Article | LibreCat-ID: 3585
Witschen LM, Wiersema T, Ghasemzadeh Mohammadi H, Awais M, Platzner M. CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation. Microelectronics Reliability. 2019;99:277-290. doi:10.1016/j.microrel.2019.04.003
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2019 | Conference Abstract | LibreCat-ID: 7752
Sharma A, Wehrheim H. Testing Balancedness of ML Algorithms. In: Proceedings of the Software Engineering Conference (SE). Vol P-292. Lecture Notes in Informatics (LNI). Stuttgart: Gesellschaft für Informatik e.V. (GI); 2019:157-158.
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2019 | Encyclopedia Article | LibreCat-ID: 8312 |
Bäumer FS, Geierhos M. Requirements Engineering in OTF-Computing. In: Encyclopedia.Pub. Basel, Switzerland: MDPI; 2019.
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2019 | Mastersthesis | LibreCat-ID: 7623
Zhang S. Combining Android Apps for Analysis Purposes. Universität Paderborn; 2019.
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2019 | Bachelorsthesis | LibreCat-ID: 7628
Selbach N. Modeling Crypto API Usages in OpenSSL’s EVP Library. Universität Paderborn; 2019.
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2019 | Conference Paper | LibreCat-ID: 7635
Sharma A, Wehrheim H. Testing Machine Learning Algorithms for Balanced Data Usage. In: IEEE International Conference on Software Testing, Verification and Validation (ICST). Xi’an, China: IEEE; 2019:125--135.
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2019 | Journal Article | LibreCat-ID: 8424 |
Bäumer FS, Kersting J, Geierhos M. Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches. Computers. 2019;8(1). doi:10.3390/computers8010022
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2019 | Conference Abstract | LibreCat-ID: 8868
Wever MD, Mohr F, Hüllermeier E, Hetzer A. Towards Automated Machine Learning for Multi-Label Classification. In: ; 2019.
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2019 | Conference Paper | LibreCat-ID: 15838
Pauck F, Zhang S. Android App Merging for Benchmark Speed-Up and Analysis Lift-Up. In: 2019 34th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW). ; 2019. doi:10.1109/asew.2019.00019
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2019 | Mastersthesis | LibreCat-ID: 15920
Keerthipati M. A Bitstream-Level Proof-Carrying Hardware Technique for Information Flow Tracking. Universität Paderborn; 2019.
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2019 | Journal Article | LibreCat-ID: 14896
Dann A, Hermann B, Bodden E. ModGuard: Identifying Integrity &Confidentiality Violations in Java Modules. IEEE Transactions on Software Engineering. Published online 2019:1-1. doi:10.1109/tse.2019.2931331
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2019 | Conference Paper | LibreCat-ID: 15007 |
Melnikov V, Hüllermeier E. Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. In: Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101). ; 2019. doi:10.1016/j.jmva.2019.02.017
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2019 | Conference Paper | LibreCat-ID: 15011 |
Tornede A, Wever MD, Hüllermeier E. Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. In: Hoffmann F, Hüllermeier E, Mikut R, eds. Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019. KIT Scientific Publishing, Karlsruhe; 2019:135-146.
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2019 | Dissertation | LibreCat-ID: 13126
Khaluf L. Organic Programming of Dynamic Real-Time Applications. Universität Paderborn; 2019.
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