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5948 Publications
2021 | Conference Paper | LibreCat-ID: 22462
Shivarpatna Venkatesh, Ashwin Prasad, and Eric Bodden. “Automated Cell Header Generator for Jupyter Notebooks.” In International Workshop on AI and Software Testing/Analysis (AISTA), 2021. https://doi.org/10.1145/3464968.3468410.
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| DOI
2021 | Journal Article | LibreCat-ID: 31132
Dann, Andreas Peter, Henrik Plate, Ben Hermann, Serena Elisa Ponta, and Eric Bodden. “Identifying Challenges for OSS Vulnerability Scanners - A Study & Test Suite.” IEEE Transactions on Software Engineering, 2021, 1–1. https://doi.org/10.1109/tse.2021.3101739.
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| DOI
2020 | Conference Paper | LibreCat-ID: 25334
Fiterau-Brostean, Paul, Bengt Jonsson, Robert Merget, Joeri de Ruiter, Konstantinos Sagonas, and Juraj Somorovsky. “Analysis of DTLS Implementations Using Protocol State Fuzzing.” In 29th {USENIX} Security Symposium ({USENIX} Security 20), 2523–40. {USENIX} Association, 2020.
LibreCat
2020 | Book Chapter | LibreCat-ID: 19521
Pfannschmidt, Karlson, and Eyke Hüllermeier. “Learning Choice Functions via Pareto-Embeddings.” In Lecture Notes in Computer Science. Cham, 2020. https://doi.org/10.1007/978-3-030-58285-2_30.
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| DOI
2020 | Conference Paper | LibreCat-ID: 19606 | 
Gottschalk, Sebastian, Enes Yigitbas, Eugen Schmidt, and Gregor Engels. “ProConAR: A Tool Support for Model-Based AR Product Configuration.” In Human-Centered Software Engineering. HCSE 2020, edited by Regina Bernhaupt, Carmelo Ardito, and Stefan Sauer, Vol. 12481. Lecture Notes in Computer Science. Cham: Springer, 2020. https://doi.org/10.1007/978-3-030-64266-2_14.
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| DOI
2020 | Conference Paper | LibreCat-ID: 19607 |
Schneider, Stefan Balthasar, Lars Dietrich Klenner, and Holger Karl. “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, Stefan Balthasar, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, Ramin Khalili, and Artur Hecker. “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, Ivan, Enes Yigitbas, Stefan Sauer, and Gregor Engels. “Augmented and Virtual Reality Object Repository for Rapid Prototyping .” In Proceedings of the 8th International Working Conference on Human-Centered Software Engineering (HCSE’20), 216–24. Springer, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 19656
Sharma, Arnab, and Heike Wehrheim. “Automatic Fairness Testing of Machine Learning Models.” In Proceedings of the 32th IFIP International Conference on Testing Software and Systems (ICTSS). LNCS. Springer, n.d.
LibreCat
2020 | Journal Article | LibreCat-ID: 19864
Meyer, Maurice, Maximilian Frank, Melina Massmann, and Roman Dumitrescu. “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, Maurice, Maximilian Frank, Melina Massmann, and Roman Dumitrescu. “Research and Consulting in Data-Driven Strategic Product Planning.” Journal of Systemics, Cybernetics and Informatics 18, no. 2 (2020): 55–61.
LibreCat
2020 | Conference Paper | LibreCat-ID: 19899
Castenow, Jannik, Peter Kling, Till Knollmann, and Friedhelm Meyer auf der Heide. “A Discrete and Continuous Study of the Max-Chain-Formation Problem – Slow Down to Speed Up.” In Stabilization, Safety, and Security of Distributed Systems - 22nd International Symposium, SSS 2020, Austin, Texas, USA, November 18-21, 2020, Proceedings, edited by Stéphane Devismes and Neeraj Mittal, 12514:65–80. Lecture Notes in Computer Science (LNCS). Springer, 2020. https://doi.org/10.1007/978-3-030-64348-5_6.
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| DOI
| arXiv
2020 | Conference Paper | LibreCat-ID: 19953 |
Damke, Clemens, Vitaly Melnikov, and Eyke Hüllermeier. “A Novel Higher-Order Weisfeiler-Lehman Graph Convolution.” In Proceedings of the 12th Asian Conference on Machine Learning (ACML 2020), edited by Sinno Jialin Pan and Masashi Sugiyama, 129:49–64. Proceedings of Machine Learning Research. Bangkok, Thailand: PMLR, 2020.
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| arXiv
2020 | Bachelorsthesis | LibreCat-ID: 19999
Mayer, Stefan. Optimierung von JMCTest Beim Testen von Inter Method Contracts. Universität Paderborn, 2020.
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2020 | Conference Paper | LibreCat-ID: 20116
Nouri, Zahra, Henning Wachsmuth, and Gregor Engels. “Mining Crowdsourcing Problems from Discussion Forums of Workers.” In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, 6264–76, n.d.
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2020 | Conference Paper | LibreCat-ID: 20122
El Baff, Roxanne, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. “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), 29–40, 2020.
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2020 | Conference Paper | LibreCat-ID: 20139 |
Spliethöver, Maximilian, and Henning Wachsmuth. “Argument from Old Man’s View: Assessing Social Bias in Argumentation.” In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 76–87, 2020.
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2020 | Conference Paper | LibreCat-ID: 20140
Dorsch, Jonas, and Henning Wachsmuth. “Semi-Supervised Cleansing of Web Argument Corpora.” In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 19–29, 2020.
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2020 | Conference Paper | LibreCat-ID: 20159
Baswana, Surender, Shiv Gupta, and Till Knollmann. “Mincut Sensitivity Data Structures for the Insertion of an Edge.” In 28th Annual European Symposium on Algorithms (ESA 2020), edited by Fabrizio Grandoni, Grzegorz Herman, and Peter Sanders, 173:12:1-12:14. Leibniz International Proceedings in Informatics (LIPIcs). Dagstuhl, Germany: Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, 2020. https://doi.org/10.4230/LIPIcs.ESA.2020.12.
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2020 | Conference Paper | LibreCat-ID: 20166
Bondarenko, Alexander, Maik Fröbe, Meriem Beloucif, Lukas Gienapp, Yamen Ajjour, Alexander Panchenko, Chris Biemann, et al. “Overview of Touché 2020: Argument Retrieval.” In CEUR Workshop Proceedings, 2696:384–95, 2020.
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