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367 Publications


2020 | Conference Paper | LibreCat-ID: 3776
W.-F. Chen, K. Al-Khatib, H. Wachsmuth, and B. Stein, “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, pp. 149–154.
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2020 | Conference Paper | LibreCat-ID: 20137
S. Syed, W.-F. Chen, M. Hagen, B. Stein, H. Wachsmuth, and M. Potthast, “Task Proposal: Abstractive Snippet Generation for Web Pages,” in Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 2020, pp. 237–241.
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2020 | Conference Paper | LibreCat-ID: 3818
W.-F. Chen, K. Al-Khatib, B. Stein, and H. Wachsmuth, “Detecting Media Bias in News Articles using Gaussian Bias Distributions,” in Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–4300.
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2020 | Conference Paper | LibreCat-ID: 15826
W.-F. Chen, S. Syed, B. Stein, M. Hagen, and M. Potthast, “Abstractive Snippet Generation,” in Proceedings of the Web Conference 2020, 2020, pp. 1309–1319.
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2020 | Conference Paper | LibreCat-ID: 16868
M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Target Inference in Argument Conclusion Generation,” in Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Seattle, USA, 2020, pp. 4334–4345.
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2019 | Conference Paper | LibreCat-ID: 3287 | OA
S. B. Schneider, A. Sharma, H. Karl, and H. Wehrheim, “Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets,” in 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM), Washington, DC, USA, 2019, pp. 116--124.
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2019 | Journal Article | LibreCat-ID: 3585
L. M. Witschen, T. Wiersema, H. Ghasemzadeh Mohammadi, M. Awais, and M. Platzner, “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation,” Microelectronics Reliability, vol. 99, pp. 277–290, 2019.
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2019 | Conference Abstract | LibreCat-ID: 7752
A. Sharma and H. Wehrheim, “Testing Balancedness of ML Algorithms,” in Proceedings of the Software Engineering Conference (SE), Stuttgart, 2019, vol. P-292, pp. 157–158.
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2019 | Encyclopedia Article | LibreCat-ID: 8312 | OA
F. S. Bäumer and M. Geierhos, “Requirements Engineering in OTF-Computing,” in encyclopedia.pub, Basel, Switzerland: MDPI, 2019.
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2019 | Mastersthesis | LibreCat-ID: 7623
S. Zhang, Combining Android Apps for Analysis Purposes. Universität Paderborn, 2019.
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2019 | Bachelorsthesis | LibreCat-ID: 7628
N. Selbach, Modeling Crypto API usages in OpenSSL’s EVP library. Universität Paderborn, 2019.
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2019 | Conference Paper | LibreCat-ID: 7635
A. Sharma and H. Wehrheim, “Testing Machine Learning Algorithms for Balanced Data Usage,” in IEEE International Conference on Software Testing, Verification and Validation (ICST), Xi’an, China, April, 2019, 2019, pp. 125--135.
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2019 | Journal Article | LibreCat-ID: 8424 | OA
F. S. Bäumer, J. Kersting, and M. Geierhos, “Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches,” Computers, vol. 8, no. 1, 2019.
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2019 | Conference Abstract | LibreCat-ID: 8868
M. D. Wever, F. Mohr, E. Hüllermeier, and A. Hetzer, “Towards Automated Machine Learning for Multi-Label Classification,” presented at the European Conference on Data Analytics (ECDA), Bayreuth, Germany, 2019.
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2019 | Conference Paper | LibreCat-ID: 15838
F. Pauck and S. Zhang, “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.
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2019 | Mastersthesis | LibreCat-ID: 15920
M. Keerthipati, A Bitstream-Level Proof-Carrying Hardware Technique for Information Flow Tracking. Universität Paderborn, 2019.
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2019 | Journal Article | LibreCat-ID: 14896
A. Dann, B. Hermann, and E. Bodden, “ModGuard: Identifying Integrity &Confidentiality Violations in Java Modules,” IEEE Transactions on Software Engineering, pp. 1–1, 2019, doi: 10.1109/tse.2019.2931331.
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2019 | Conference Paper | LibreCat-ID: 15007 | OA
V. Melnikov and E. Hüllermeier, “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.
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2019 | Conference Paper | LibreCat-ID: 15011 | OA
A. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking,” in Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, Dortmund, 2019, pp. 135–146.
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2019 | Dissertation | LibreCat-ID: 13126
L. Khaluf, Organic Programming of Dynamic Real-Time Applications. Universität Paderborn, 2019.
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