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1460 Publications


2019 | Book Chapter | LibreCat-ID: 14890
Kuhlemann, S., Sellmann, M., & Tierney, K. (2019). Exploiting Counterfactuals for Scalable Stochastic Optimization. In Lecture Notes in Computer Science. Cham. https://doi.org/10.1007/978-3-030-30048-7_40
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2019 | Journal Article | LibreCat-ID: 14896
Dann, A., Hermann, B., & Bodden, E. (2019). ModGuard: Identifying Integrity &Confidentiality Violations in Java Modules. IEEE Transactions on Software Engineering, 1–1. https://doi.org/10.1109/tse.2019.2931331
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2019 | Conference Paper | LibreCat-ID: 14897
Dann, A., Hermann, B., & Bodden, E. (2019). SootDiff: bytecode comparison across different Java compilers. Proceedings of the 8th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis  - SOAP 2019. https://doi.org/10.1145/3315568.3329966
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2019 | Conference Paper | LibreCat-ID: 14898
Schubert, P., Leer, R., Hermann, B., & Bodden, E. (2019). Know your analysis: how instrumentation aids understanding static analysis. Proceedings of the 8th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis  - SOAP 2019. https://doi.org/10.1145/3315568.3329965
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2019 | Conference Paper | LibreCat-ID: 14899
Kruger, S., & Hermann, B. (2019). Can an Online Service Predict Gender? On the State-of-the-Art in Gender Identification from Texts. 2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering (GE). https://doi.org/10.1109/ge.2019.00012
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2019 | Working Paper | LibreCat-ID: 14902 | OA
Mair, C., Scheffler, W., Senger, I., & Sureth-Sloane, C. (2019). Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern (Vol. 42).
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2019 | Newspaper Article | LibreCat-ID: 14903
Asenkerschbaumer, S., & Sureth-Sloane, C. (2019). Aus Daten müssen Informationen werden. Frankfurter Allgemeine Zeitung.
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2019 | Journal Article | LibreCat-ID: 14904
Hoppe, T., Rechbauer, M., & Sturm, S. (2019). Steuerkomplexität im Vergleich zwischen Deutschland und Österreich - Eine Analyse des Status quo. Steuer und Wirtschaft, 96(4), 397–412.
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2019 | Journal Article | LibreCat-ID: 14905
Kourouxous, T., & Bauer, T. (2019). Violations of Dominance in Decision-Making. Business Research, 12(1), 209–239. https://doi.org/10.1007/s40685-019-0093-7
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2019 | Working Paper | LibreCat-ID: 14909
Hoppe, T., Schanz, D., Sturm, S., & Sureth-Sloane, C. (2019). Measuring Tax Complexity Across Countries: A Survey Study on MNCs. https://doi.org/10.2139/ssrn.3469663
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2019 | Journal Article | LibreCat-ID: 14910
Majdanska, A., & Wu, Y. (2019). Using Impact Evaluation to Examine Domestic and International Cooperative Compliance Programs. Tax Notes International, 93(10), 1045–1065.
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2019 | Journal Article | LibreCat-ID: 14990 | OA
Ebers, L., Hammer, M., Berkemeier, M. B., Menzel, A., & Förstner, J. (2019). Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter. OSA Continuum, 2, 3288. https://doi.org/10.1364/osac.2.003288
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2019 | Journal Article | LibreCat-ID: 15001
Couso, I., Borgelt, C., Hüllermeier, E., & Kruse, R. (2019). Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning. IEEE Computational Intelligence Magazine, 31–44. https://doi.org/10.1109/mci.2018.2881642
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2019 | Journal Article | LibreCat-ID: 15002 | OA
Waegeman, W., Dembczynski, K., & Hüllermeier, E. (2019). Multi-target prediction: a unifying view on problems and methods. Data Mining and Knowledge Discovery, 33(2), 293–324. https://doi.org/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. (2019). 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.
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2019 | Book Chapter | LibreCat-ID: 15004
Ahmadi Fahandar, M., & Hüllermeier, E. (2019). Feature Selection for Analogy-Based Learning to Rank. In Discovery Science. Cham. https://doi.org/10.1007/978-3-030-33778-0_22
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2019 | Book Chapter | LibreCat-ID: 15005
Ahmadi Fahandar, M., & Hüllermeier, E. (2019). Analogy-Based Preference Learning with Kernels. In KI 2019: Advances in Artificial Intelligence. Cham. https://doi.org/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. (2019). Epistemic Uncertainty Sampling. In Discovery Science. Cham. https://doi.org/10.1007/978-3-030-33778-0_7
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2019 | Conference Paper | LibreCat-ID: 15007 | OA
Melnikov, V., & Hüllermeier, E. (2019). Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. In Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101). https://doi.org/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. (2019). Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries. In 2019 IEEE Intelligent Vehicles Symposium (IV). https://doi.org/10.1109/ivs.2019.8814100
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