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12165 Publications


2019 | Conference Paper | LibreCat-ID: 14824 | OA
Martin-Donas, J. M., Heitkaemper, J., Haeb-Umbach, R., Gomez, A. M., & Peinado, A. M. (2019). Multi-Channel Block-Online Source Extraction based on Utterance Adaptation. In INTERSPEECH 2019, Graz, Austria.
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2019 | Conference Paper | LibreCat-ID: 14826 | OA
Kanda, N., Boeddeker, C., Heitkaemper, J., Fujita, Y., Horiguchi, S., & Haeb-Umbach, R. (2019). Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR. In INTERSPEECH 2019, Graz, Austria.
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2019 | Book Chapter | LibreCat-ID: 14828
Seipelt, A. R., & Klugseder, R. (2019). Digitale Musikanalyse auf Grundlage von MEI-codierten Daten. In Klaus Aringer, C. Utz, & T. Wozonig (Eds.), Musik im Zusammenhang: Festschrift Peter Revers zum 65. Geburtstag (pp. 69–87). Wien: Hollitzer.
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2019 | Conference (Editor) | LibreCat-ID: 14829
Scheideler, C., & Berenbrink, P. (Eds.). (2019). The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019. ACM. https://doi.org/10.1145/3323165
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2019 | Journal Article | LibreCat-ID: 14830
Gmyr, R., Lefevre, J., & Scheideler, C. (2019). Self-Stabilizing Metric Graphs. Theory Comput. Syst., 63(2), 177–199. https://doi.org/10.1007/s00224-017-9823-4
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2019 | Mastersthesis | LibreCat-ID: 14831
Sabu, N. S. (2019). FPGA Acceleration of String Search Techniques in Huge Data Sets. Paderborn University.
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2019 | Dissertation | LibreCat-ID: 14849
Vaz, G. F. (2019). Using Just-in-Time Code Generation to Transparently Accelerate Applications in Heterogeneous Systems. Universität Paderborn.
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2019 | Dissertation | LibreCat-ID: 14851
Mäcker, A. (2019). On Scheduling with Setup Times. Universität Paderborn. https://doi.org/10.17619/UNIPB/1-828
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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: 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 | 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 | 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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