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10111 Publications
2019 | Mastersthesis | LibreCat-ID: 14831
N. S. Sabu, FPGA Acceleration of String Search Techniques in Huge Data Sets. Paderborn University, 2019.
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2019 | Dissertation | LibreCat-ID: 14849
G. F. Vaz, 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
A. Mäcker, On Scheduling with Setup Times. Universität Paderborn, 2019.
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2019 | Journal Article | LibreCat-ID: 14896
A. Dann, B. Hermann, and E. Bodden, “ModGuard: Identifying Integrity &Confidentiality Violations in Java Modules,” IEEE Transactions on Software Engineering, pp. 1–1, 2019, doi: 10.1109/tse.2019.2931331.
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2019 | Conference Paper | LibreCat-ID: 14897
A. Dann, B. Hermann, and E. Bodden, “SootDiff: bytecode comparison across different Java compilers,” 2019, doi: 10.1145/3315568.3329966.
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2019 | Conference Paper | LibreCat-ID: 14899
S. Kruger and B. Hermann, “Can an Online Service Predict Gender? On the State-of-the-Art in Gender Identification from Texts,” 2019, doi: 10.1109/ge.2019.00012.
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2019 | Journal Article | LibreCat-ID: 14905
T. Kourouxous and T. Bauer, “Violations of Dominance in Decision-Making,” Business Research, vol. 12, no. 1, pp. 209–239, 2019.
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2019 | Journal Article | LibreCat-ID: 15002 |
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W. Waegeman, K. Dembczynski, and E. Hüllermeier, “Multi-target prediction: a unifying view on problems and methods,” Data Mining and Knowledge Discovery, vol. 33, no. 2, pp. 293–324, 2019.
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2019 | Conference Paper | LibreCat-ID: 15003
T. Mortier, M. Wydmuch, K. Dembczynski, E. Hüllermeier, and W. 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 | Conference Paper | LibreCat-ID: 15007 |
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V. Melnikov and E. 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.
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2019 | Conference Paper | LibreCat-ID: 15011 |
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A. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking,” in Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, Dortmund, 2019, pp. 135–146.
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2019 | Conference Paper | LibreCat-ID: 15013
K. Brinker and E. Hüllermeier, “A Reduction of Label Ranking to Multiclass Classification,” in Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, 2019.
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2019 | Conference Paper | LibreCat-ID: 15014
E. Hüllermeier, I. Couso, and S. 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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