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5948 Publications
2019 | Mastersthesis | LibreCat-ID: 15920
Keerthipati M. A Bitstream-Level Proof-Carrying Hardware Technique for Information Flow Tracking. Universität Paderborn; 2019.
LibreCat
2019 | Conference Paper | LibreCat-ID: 15921
Desouki AA, Röder M, Ngonga Ngomo A-C. Ranking on Very Large Knowledge Graphs. In: Proceedings of the 30th ACM Conference on Hypertext and Social Media - HT ’19. ACM; 2019:163-171. doi:10.1145/3342220.3343660
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 14568 | 
Heindorf S, Scholten Y, Engels G, Potthast M. Debiasing Vandalism Detection Models at Wikidata (Extended Abstract). In: INFORMATIK. ; 2019:289-290. doi:10.18420/inf2019_48
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2019 | Journal Article | LibreCat-ID: 14817
Sommer C, Basagni S. Advances and novel applications of mobile wireless networking. Ad Hoc Networks. 2019. doi:10.1016/j.adhoc.2019.101975
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| DOI
2019 | Conference Paper | LibreCat-ID: 14819
Heinovski J, Stratmann L, Buse DS, et al. Modeling Cycling Behavior to Improve Bicyclists’ Safety at Intersections - A Networking Perspective. In: 2019 IEEE 20th International Symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM). ; 2019. doi:10.1109/wowmom.2019.8793008
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2019 | Conference (Editor) | LibreCat-ID: 14829
Scheideler C, Berenbrink P, eds. The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019. ACM; 2019. doi:10.1145/3323165
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| DOI
2019 | Journal Article | LibreCat-ID: 14830
Gmyr R, Lefevre J, Scheideler C. Self-Stabilizing Metric Graphs. Theory Comput Syst. 2019;63(2):177-199. doi:10.1007/s00224-017-9823-4
LibreCat
| DOI
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
LibreCat
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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 |
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 |
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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