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367 Publications
2020 | Conference Paper | LibreCat-ID: 15635
Kersting, J., & Geierhos, M. (2020). Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis. In Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference (pp. 282--285). North Miami Beach, FL, USA: AAAI.
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2020 | Journal Article | LibreCat-ID: 15025
Wever, M. D., van Rooijen, L., & Hamann, H. (2020). Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets. Evolutionary Computation, 28(2), 165–193. https://doi.org/10.1162/evco_a_00266
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2020 | Conference Paper | LibreCat-ID: 15256
Kersting, J., & Geierhos, M. (2020). 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 (pp. 263--272). Setúbal, Portugal: SCITEPRESS.
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2020 | Dissertation | LibreCat-ID: 16935
Moussalem, D. C. (2020). Knowledge Graphs for Multilingual Language Translation and Generation. https://doi.org/10.17619/UNIPB/1-980
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2020 | Journal Article | LibreCat-ID: 13770
Karl, H., Kundisch, D., Meyer auf der Heide, F., & Wehrheim, H. (2020). A Case for a New IT Ecosystem: On-The-Fly Computing. Business & Information Systems Engineering, 62(6), 467–481. https://doi.org/10.1007/s12599-019-00627-x
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2020 | Conference Paper | LibreCat-ID: 3776
Chen, W.-F., Al-Khatib, K., Wachsmuth, H., & Stein, B. (2020). Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 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. (2020). Task Proposal: Abstractive Snippet Generation for Web Pages. Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 237–241.
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2020 | Conference Paper | LibreCat-ID: 3818
Chen, W.-F., Al-Khatib, K., Stein, B., & Wachsmuth, H. (2020). Detecting Media Bias in News Articles using Gaussian Bias Distributions. Findings of the Association for Computational Linguistics: EMNLP 2020, 4290–4300.
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2020 | Conference Paper | LibreCat-ID: 15826
Chen, W.-F., Syed, S., Stein, B., Hagen, M., & Potthast, M. (2020). Abstractive Snippet Generation. Proceedings of the Web Conference 2020, 1309–1319.
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2020 | Conference Paper | LibreCat-ID: 16868
Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2020). Target Inference in Argument Conclusion Generation. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 4334–4345.
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2019 | Conference Paper | LibreCat-ID: 3287 | 
Schneider, S. B., Sharma, A., Karl, H., & Wehrheim, H. (2019). Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets. In 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM) (pp. 116--124). Washington, DC, USA: IFIP.
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2019 | Journal Article | LibreCat-ID: 3585
Witschen, L. M., Wiersema, T., Ghasemzadeh Mohammadi, H., Awais, M., & Platzner, M. (2019). CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation. Microelectronics Reliability, 99, 277–290. https://doi.org/10.1016/j.microrel.2019.04.003
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2019 | Conference Abstract | LibreCat-ID: 7752
Sharma, A., & Wehrheim, H. (2019). Testing Balancedness of ML Algorithms. In Proceedings of the Software Engineering Conference (SE) (Vol. P-292, pp. 157–158). Stuttgart: Gesellschaft für Informatik e.V. (GI).
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2019 | Encyclopedia Article | LibreCat-ID: 8312 |
Bäumer, F. S., & Geierhos, M. (2019). Requirements Engineering in OTF-Computing. In encyclopedia.pub. Basel, Switzerland: MDPI.
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2019 | Mastersthesis | LibreCat-ID: 7623
Zhang, S. (2019). Combining Android Apps for Analysis Purposes. Universität Paderborn.
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2019 | Bachelorsthesis | LibreCat-ID: 7628
Selbach, N. (2019). Modeling Crypto API usages in OpenSSL’s EVP library. Universität Paderborn.
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2019 | Conference Paper | LibreCat-ID: 7635
Sharma, A., & Wehrheim, H. (2019). Testing Machine Learning Algorithms for Balanced Data Usage. In IEEE International Conference on Software Testing, Verification and Validation (ICST) (pp. 125--135). Xi’an, China: IEEE.
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2019 | Journal Article | LibreCat-ID: 8424 |
Bäumer, F. S., Kersting, J., & Geierhos, M. (2019). Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches. Computers, 8(1). https://doi.org/10.3390/computers8010022
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2019 | Conference Abstract | LibreCat-ID: 8868
Wever, M. D., Mohr, F., Hüllermeier, E., & Hetzer, A. (2019). Towards Automated Machine Learning for Multi-Label Classification. Presented at the European Conference on Data Analytics (ECDA), Bayreuth, Germany.
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2019 | Conference Paper | LibreCat-ID: 15838
Pauck, F., & Zhang, S. (2019). Android App Merging for Benchmark Speed-Up and Analysis Lift-Up. In 2019 34th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW). https://doi.org/10.1109/asew.2019.00019
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