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5719 Publications
2019 | Dissertation | LibreCat-ID: 14849
Vaz, Gavin Francis. Using Just-in-Time Code Generation to Transparently Accelerate Applications in Heterogeneous Systems. Universität Paderborn, 2019.
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2019 | Dissertation | LibreCat-ID: 14851
Mäcker, Alexander. On Scheduling with Setup Times. Universität Paderborn, 2019. https://doi.org/10.17619/UNIPB/1-828.
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2019 | Journal Article | LibreCat-ID: 14896
Dann, Andreas, Ben Hermann, and Eric Bodden. “ModGuard: Identifying Integrity &Confidentiality Violations in Java Modules.” IEEE Transactions on Software Engineering, 2019, 1–1. https://doi.org/10.1109/tse.2019.2931331.
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2019 | Conference Paper | LibreCat-ID: 14897
Dann, Andreas, Ben Hermann, and Eric Bodden. “SootDiff: Bytecode Comparison across Different Java Compilers.” In Proceedings of the 8th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis - SOAP 2019, 2019. https://doi.org/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.” In 2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering (GE), 2019. https://doi.org/10.1109/ge.2019.00012.
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2019 | Journal Article | LibreCat-ID: 15001
Couso, Ines, Christian Borgelt, Eyke Hüllermeier, and Rudolf Kruse. “Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning.” IEEE Computational Intelligence Magazine, 2019, 31–44. https://doi.org/10.1109/mci.2018.2881642.
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2019 | Journal Article | LibreCat-ID: 15002 | 
Waegeman, Willem, Krzysztof Dembczynski, and Eyke Hüllermeier. “Multi-Target Prediction: A Unifying View on Problems and Methods.” Data Mining and Knowledge Discovery 33, no. 2 (2019): 293–324. https://doi.org/10.1007/s10618-018-0595-5.
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2019 | Conference Paper | LibreCat-ID: 15003
Mortier, Thomas, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, and Willem Waegeman. “Set-Valued Prediction in Multi-Class Classification.” In 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.” In Discovery Science. Cham, 2019. https://doi.org/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.” In KI 2019: Advances in Artificial Intelligence. Cham, 2019. https://doi.org/10.1007/978-3-030-30179-8_3.
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2019 | Book Chapter | LibreCat-ID: 15006
Nguyen, Vu-Linh, Sébastien Destercke, and Eyke Hüllermeier. “Epistemic Uncertainty Sampling.” In Discovery Science. Cham, 2019. https://doi.org/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.” In Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019. https://doi.org/10.1016/j.jmva.2019.02.017.
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2019 | Conference Paper | LibreCat-ID: 15009
Epple, Nico, Simone Dari, Ludwig Drees, Valentin Protschky, and Andreas Riener. “Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries.” In 2019 IEEE Intelligent Vehicles Symposium (IV), 2019. https://doi.org/10.1109/ivs.2019.8814100.
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2019 | Conference Paper | LibreCat-ID: 15011 |
Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking.” In Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, edited by Frank Hoffmann, Eyke Hüllermeier, and Ralf Mikut, 135–46. KIT Scientific Publishing, Karlsruhe, 2019.
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2019 | Conference Paper | LibreCat-ID: 15013
Brinker, Klaus, and Eyke Hüllermeier. “A Reduction of Label Ranking to Multiclass Classification.” In Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases. Würzburg, Germany, 2019.
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2019 | Conference Paper | LibreCat-ID: 15014
Hüllermeier, Eyke, Ines Couso, and Sebastian Diestercke. “Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants.” In 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, 1–36. https://doi.org/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.” In International Conference on Multimedia Modeling, MMM, 662–71. Springer, 2019. https://doi.org/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.” In 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.” In Digital Humanities, DH 2019, 2019.
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