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10111 Publications


2019 | Mastersthesis | LibreCat-ID: 14831
Sabu NS. FPGA Acceleration of String Search Techniques in Huge Data Sets. Paderborn University; 2019.
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2019 | Dissertation | LibreCat-ID: 14849
Vaz GF. 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 A. On Scheduling with Setup Times. Universität Paderborn; 2019. doi:10.17619/UNIPB/1-828
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2019 | Journal Article | LibreCat-ID: 14896
Dann A, Hermann B, Bodden E. ModGuard: Identifying Integrity &Confidentiality Violations in Java Modules. IEEE Transactions on Software Engineering. Published online 2019:1-1. doi:10.1109/tse.2019.2931331
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2019 | Conference Paper | LibreCat-ID: 14897
Dann A, Hermann B, Bodden E. 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. doi:10.1145/3315568.3329966
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2019 | Conference Paper | LibreCat-ID: 14899
Kruger S, Hermann B. 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. doi:10.1109/ge.2019.00012
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2019 | Journal Article | LibreCat-ID: 14905
Kourouxous T, Bauer T. Violations of Dominance in Decision-Making. Business Research. 2019;12(1):209-239. doi:10.1007/s40685-019-0093-7
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2019 | Journal Article | LibreCat-ID: 15001
Couso I, Borgelt C, Hüllermeier E, Kruse R. Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning. IEEE Computational Intelligence Magazine. 2019:31-44. doi:10.1109/mci.2018.2881642
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2019 | Journal Article | LibreCat-ID: 15002 | OA
Waegeman W, Dembczynski K, Hüllermeier E. Multi-target prediction: a unifying view on problems and methods. Data Mining and Knowledge Discovery. 2019;33(2):293-324. doi:10.1007/s10618-018-0595-5
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2019 | Conference Paper | LibreCat-ID: 15003
Mortier T, Wydmuch M, Dembczynski K, Hüllermeier E, Waegeman W. 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 M, Hüllermeier E. Feature Selection for Analogy-Based Learning to Rank. In: Discovery Science. Cham; 2019. doi:10.1007/978-3-030-33778-0_22
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2019 | Book Chapter | LibreCat-ID: 15005
Ahmadi Fahandar M, Hüllermeier E. Analogy-Based Preference Learning with Kernels. In: KI 2019: Advances in Artificial Intelligence. Cham; 2019. doi:10.1007/978-3-030-30179-8_3
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2019 | Book Chapter | LibreCat-ID: 15006
Nguyen V-L, Destercke S, Hüllermeier E. Epistemic Uncertainty Sampling. In: Discovery Science. Cham; 2019. doi:10.1007/978-3-030-33778-0_7
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2019 | Conference Paper | LibreCat-ID: 15007 | OA
Melnikov V, Hüllermeier E. 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. doi:10.1016/j.jmva.2019.02.017
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2019 | Conference Paper | LibreCat-ID: 15009
Epple N, Dari S, Drees L, Protschky V, Riener A. Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries. In: 2019 IEEE Intelligent Vehicles Symposium (IV). ; 2019. doi:10.1109/ivs.2019.8814100
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2019 | Conference Paper | LibreCat-ID: 15011 | OA
Tornede A, Wever MD, Hüllermeier E. Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. In: Hoffmann F, Hüllermeier E, Mikut R, eds. Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019. KIT Scientific Publishing, Karlsruhe; 2019:135-146.
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2019 | Conference Paper | LibreCat-ID: 15013
Brinker K, Hüllermeier E. 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 E, Couso I, Diestercke S. 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 S, Hüllermeier E. Mining Rank Data. ACM Transactions on Knowledge Discovery from Data. 2019:1-36. doi:10.1145/3363572
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2019 | Journal Article | LibreCat-ID: 15028
Tillmann W, Fehr A, Stangier D, et al. Al2O3/ZrO2-8Y2O3 and (Cr,Ti)AlSiN tool coatings to influence the temperature and surface quality in friction-spinning processes. Production Engineering. 2019:449-457. doi:10.1007/s11740-019-00899-y
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