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12213 Publications
2019 | Conference (Editor) | LibreCat-ID: 14829
Scheideler, Christian, and Petra Berenbrink, eds. The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019. ACM, 2019. https://doi.org/10.1145/3323165.
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 14830
Gmyr, Robert, Jonas Lefevre, and Christian Scheideler. “Self-Stabilizing Metric Graphs.” Theory Comput. Syst. 63, no. 2 (2019): 177–99. https://doi.org/10.1007/s00224-017-9823-4.
LibreCat
| DOI
2019 | Mastersthesis | LibreCat-ID: 14831
Sabu, Nithin S. FPGA Acceleration of String Search Techniques in Huge Data Sets. Paderborn University, 2019.
LibreCat
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 | Book Chapter | LibreCat-ID: 14890
Kuhlemann, Stefan, Meinolf Sellmann, and Kevin Tierney. “Exploiting Counterfactuals for Scalable Stochastic Optimization.” In Lecture Notes in Computer Science. Cham, 2019. https://doi.org/10.1007/978-3-030-30048-7_40.
LibreCat
| DOI
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.
LibreCat
| DOI
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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| DOI
2019 | Journal Article | LibreCat-ID: 14905
Kourouxous, Thomas, and Thomas Bauer. “Violations of Dominance in Decision-Making.” Business Research 12, no. 1 (2019): 209–39. https://doi.org/10.1007/s40685-019-0093-7.
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2019 | Journal Article | LibreCat-ID: 14990 | 
Ebers, Lena, Manfred Hammer, Manuel B. Berkemeier, Alexander Menzel, and Jens Förstner. “Coupled Microstrip-Cavities under Oblique Incidence of Semi-Guided Waves: A Lossless Integrated Optical Add-Drop Filter.” OSA Continuum 2 (2019): 3288. https://doi.org/10.1364/osac.2.003288.
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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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| DOI
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.
LibreCat
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.
LibreCat
| DOI
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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| DOI
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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