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5788 Publications
2019 | Dissertation | LibreCat-ID: 14851
Mäcker, Alexander. On Scheduling with Setup Times. 2019, doi:10.17619/UNIPB/1-828.
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2019 | Journal Article | LibreCat-ID: 14896
Dann, Andreas, et al. “ModGuard: Identifying Integrity &Confidentiality Violations in Java Modules.” IEEE Transactions on Software Engineering, 2019, pp. 1–1, doi:10.1109/tse.2019.2931331.
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2019 | Conference Paper | LibreCat-ID: 14897
Dann, Andreas, et al. “SootDiff: Bytecode Comparison across Different Java Compilers.” Proceedings of the 8th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis - SOAP 2019, 2019, doi:10.1145/3315568.3329966.
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2019 | Conference Paper | LibreCat-ID: 14899
Kruger, Stefan, and Ben Hermann. “Can an Online Service Predict Gender? On the State-of-the-Art in Gender Identification from Texts.” 2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering (GE), 2019, doi:10.1109/ge.2019.00012.
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2019 | Journal Article | LibreCat-ID: 15001
Couso, Ines, et al. “Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning.” IEEE Computational Intelligence Magazine, 2019, pp. 31–44, doi:10.1109/mci.2018.2881642.
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2019 | Journal Article | LibreCat-ID: 15002 | 
Waegeman, Willem, et al. “Multi-Target Prediction: A Unifying View on Problems and Methods.” Data Mining and Knowledge Discovery, vol. 33, no. 2, 2019, pp. 293–324, doi:10.1007/s10618-018-0595-5.
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2019 | Conference Paper | LibreCat-ID: 15003
Mortier, Thomas, et al. “Set-Valued Prediction in Multi-Class Classification.” Proceedings of the 31st Benelux Conference on Artificial Intelligence {(BNAIC} 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019, 2019.
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2019 | Book Chapter | LibreCat-ID: 15004
Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Feature Selection for Analogy-Based Learning to Rank.” Discovery Science, 2019, doi:10.1007/978-3-030-33778-0_22.
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2019 | Book Chapter | LibreCat-ID: 15005
Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Analogy-Based Preference Learning with Kernels.” KI 2019: Advances in Artificial Intelligence, 2019, doi:10.1007/978-3-030-30179-8_3.
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2019 | Book Chapter | LibreCat-ID: 15006
Nguyen, Vu-Linh, et al. “Epistemic Uncertainty Sampling.” Discovery Science, 2019, doi:10.1007/978-3-030-33778-0_7.
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2019 | Conference Paper | LibreCat-ID: 15007 |
Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA.” 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: 15009
Epple, Nico, et al. “Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries.” 2019 IEEE Intelligent Vehicles Symposium (IV), 2019, doi:10.1109/ivs.2019.8814100.
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2019 | Conference Paper | LibreCat-ID: 15011 |
Tornede, Alexander, et al. “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking.” Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, edited by Frank Hoffmann et al., KIT Scientific Publishing, Karlsruhe, 2019, pp. 135–46.
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2019 | Conference Paper | LibreCat-ID: 15013
Brinker, Klaus, and Eyke Hüllermeier. “A Reduction of Label Ranking to Multiclass Classification.” Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, 2019.
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2019 | Conference Paper | LibreCat-ID: 15014
Hüllermeier, Eyke, et al. “Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants.” Proceedings SUM 2019, International Conference on Scalable Uncertainty Management, 2019.
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2019 | Journal Article | LibreCat-ID: 15015
Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” ACM Transactions on Knowledge Discovery from Data, 2019, pp. 1–36, doi:10.1145/3363572.
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2019 | Conference Paper | LibreCat-ID: 15080
Hartel, Rita, and Alexander Dunst. “How Good Is Good Enough? Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics.” International Conference on Multimedia Modeling, MMM, Springer, 2019, pp. 662–71, doi:10.1007/978-3-030-05716-9_59.
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2019 | Conference Abstract | LibreCat-ID: 15182
Dunst, Alexander, and Rita Hartel. “Multimodale Stilometrie: Herausforderungen Und Potenzial Kombinatorischer Bild- Und Textanalysen Am Beispiel Comics.” DHd Konferenz 2019, Multimedial Und Multimodal, 2019.
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2019 | Conference Abstract | LibreCat-ID: 15186
Dunst, Alexander, and Rita Hartel. “Quantifying Complexity in Multimodal Media: AlanMoore and the ‘Density’ of the Graphic Novel.” Digital Humanities, DH 2019, 2019.
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2019 | Conference (Editor) | LibreCat-ID: 15235
Stein, Benno, and Henning Wachsmuth, editors. Proceedings of the 6th Workshop on Argument Mining. Association for Computational Linguistics, 2019.
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