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5948 Publications
2021 | Conference Paper | LibreCat-ID: 22462
Shivarpatna Venkatesh AP, Bodden E. Automated Cell Header Generator for Jupyter Notebooks. In: International Workshop on AI and Software Testing/Analysis (AISTA). ; 2021. doi:10.1145/3464968.3468410
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| DOI
2021 | Journal Article | LibreCat-ID: 31132
Dann AP, Plate H, Hermann B, Ponta SE, Bodden E. Identifying Challenges for OSS Vulnerability Scanners - A Study & Test Suite. IEEE Transactions on Software Engineering. Published online 2021:1-1. doi:10.1109/tse.2021.3101739
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| DOI
2020 | Conference Paper | LibreCat-ID: 25334
Fiterau-Brostean P, Jonsson B, Merget R, de Ruiter J, Sagonas K, Somorovsky J. Analysis of DTLS Implementations Using Protocol State Fuzzing. In: 29th {USENIX} Security Symposium ({USENIX} Security 20). {USENIX} Association; 2020:2523-2540.
LibreCat
2020 | Book Chapter | LibreCat-ID: 19521
Pfannschmidt K, Hüllermeier E. Learning Choice Functions via Pareto-Embeddings. In: Lecture Notes in Computer Science. Cham; 2020. doi:10.1007/978-3-030-58285-2_30
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 19606 | 
Gottschalk S, Yigitbas E, Schmidt E, Engels G. ProConAR: A Tool Support for Model-based AR Product Configuration. In: Bernhaupt R, Ardito C, Sauer S, eds. Human-Centered Software Engineering. HCSE 2020. Vol 12481. Lecture Notes in Computer Science. Cham: Springer; 2020. doi:10.1007/978-3-030-64266-2_14
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| DOI
2020 | Conference Paper | LibreCat-ID: 19607 |
Schneider SB, Klenner LD, Karl H. Every Node for Itself: Fully Distributed Service Coordination. In: IEEE International Conference on Network and Service Management (CNSM). IEEE; 2020.
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2020 | Conference Paper | LibreCat-ID: 19609 |
Schneider SB, Manzoor A, Qarawlus H, et al. Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In: IEEE International Conference on Network and Service Management (CNSM). IEEE; 2020.
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2020 | Conference Paper | LibreCat-ID: 19632
Jovanovikj I, Yigitbas E, Sauer S, Engels G. Augmented and Virtual Reality Object Repository for Rapid Prototyping . In: Proceedings of the 8th International Working Conference on Human-Centered Software Engineering (HCSE’20). Springer; 2020:216-224.
LibreCat
2020 | Conference Paper | LibreCat-ID: 19656
Sharma A, Wehrheim H. Automatic Fairness Testing of Machine Learning Models. In: Proceedings of the 32th IFIP International Conference on Testing Software and Systems (ICTSS). LNCS. Springer.
LibreCat
2020 | Journal Article | LibreCat-ID: 19864
Meyer M, Frank M, Massmann M, Dumitrescu R. Research and Consulting in Data-Driven Strategic Product Planning. Proceedings of The 11th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020). 2020.
LibreCat
2020 | Journal Article | LibreCat-ID: 19866
Meyer M, Frank M, Massmann M, Dumitrescu R. Research and Consulting in Data-Driven Strategic Product Planning. Journal of Systemics, Cybernetics and Informatics. 2020;18(2):55-61.
LibreCat
2020 | Conference Paper | LibreCat-ID: 19899
Castenow J, Kling P, Knollmann T, Meyer auf der Heide F. A Discrete and Continuous Study of the Max-Chain-Formation Problem – Slow Down to Speed Up. In: Devismes S, Mittal N, eds. Stabilization, Safety, and Security of Distributed Systems - 22nd International Symposium, SSS 2020, Austin, Texas, USA, November 18-21, 2020, Proceedings. Vol 12514. Lecture Notes in Computer Science (LNCS). Springer; 2020:65-80. doi:10.1007/978-3-030-64348-5_6
LibreCat
| DOI
| arXiv
2020 | Conference Paper | LibreCat-ID: 19953 |
Damke C, Melnikov V, Hüllermeier E. A Novel Higher-order Weisfeiler-Lehman Graph Convolution. In: Jialin Pan S, Sugiyama M, eds. Proceedings of the 12th Asian Conference on Machine Learning (ACML 2020). Vol 129. Proceedings of Machine Learning Research. Bangkok, Thailand: PMLR; 2020:49-64.
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| arXiv
2020 | Bachelorsthesis | LibreCat-ID: 19999
Mayer S. Optimierung von JMCTest Beim Testen von Inter Method Contracts. Universität Paderborn; 2020.
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2020 | Conference Paper | LibreCat-ID: 20116
Nouri Z, Wachsmuth H, Engels G. Mining Crowdsourcing Problems from Discussion Forums of Workers. In: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics. ; :6264-6276.
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2020 | Conference Paper | LibreCat-ID: 20122
El Baff R, Al-Khatib K, Stein B, Wachsmuth H. Persuasiveness of News Editorials depending on Ideology and Personality. In: Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020). ; 2020:29-40.
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2020 | Conference Paper | LibreCat-ID: 20139 |
Spliethöver M, Wachsmuth H. Argument from Old Man’s View: Assessing Social Bias in Argumentation. In: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020). ; 2020:76-87.
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2020 | Conference Paper | LibreCat-ID: 20140
Dorsch J, Wachsmuth H. Semi-Supervised Cleansing of Web Argument Corpora. In: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020). ; 2020:19-29.
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2020 | Conference Paper | LibreCat-ID: 20159
Baswana S, Gupta S, Knollmann T. Mincut Sensitivity Data Structures for the Insertion of an Edge. In: Grandoni F, Herman G, Sanders P, eds. 28th Annual European Symposium on Algorithms (ESA 2020). Vol 173. Leibniz International Proceedings in Informatics (LIPIcs). Dagstuhl, Germany: Schloss Dagstuhl -- Leibniz-Zentrum für Informatik; 2020:12:1-12:14. doi:10.4230/LIPIcs.ESA.2020.12
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| DOI
2020 | Conference Paper | LibreCat-ID: 20166
Bondarenko A, Fröbe M, Beloucif M, et al. Overview of Touché 2020: Argument Retrieval. In: CEUR Workshop Proceedings. Vol 2696. ; 2020:384-395.
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