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12168 Publications


2019 | Conference Paper | LibreCat-ID: 14819
J. Heinovski 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.
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2019 | Journal Article | LibreCat-ID: 14821
A. R. Seipelt, “Aufführungs- und zensurbedingte Veränderungen im Wiener Manuskript der Freischütz-Erstaufführung 1821 in Wien,” Weberiana, vol. 29, pp. 107–161, 2019.
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2019 | Conference Paper | LibreCat-ID: 14822 | OA
J. Heitkaemper, T. Feher, M. Freitag, and R. Haeb-Umbach, “A Study on Online Source Extraction in the Presence of Changing Speaker Positions,” in International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia, 2019.
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2019 | Conference Paper | LibreCat-ID: 14824 | OA
J. M. Martin-Donas, J. Heitkaemper, R. Haeb-Umbach, A. M. Gomez, and A. M. Peinado, “Multi-Channel Block-Online Source Extraction based on Utterance Adaptation,” in INTERSPEECH 2019, Graz, Austria, 2019.
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2019 | Conference Paper | LibreCat-ID: 14826 | OA
N. Kanda, C. Boeddeker, J. Heitkaemper, Y. Fujita, S. Horiguchi, and R. Haeb-Umbach, “Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR,” in INTERSPEECH 2019, Graz, Austria, 2019.
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2019 | Book Chapter | LibreCat-ID: 14828
A. R. Seipelt and R. Klugseder, “Digitale Musikanalyse auf Grundlage von MEI-codierten Daten,” in Musik im Zusammenhang: Festschrift Peter Revers zum 65. Geburtstag, Klaus Aringer, C. Utz, and T. Wozonig, Eds. Wien: Hollitzer, 2019, pp. 69–87.
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2019 | Conference (Editor) | LibreCat-ID: 14829
C. Scheideler and P. Berenbrink, Eds., The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019. ACM, 2019.
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2019 | Journal Article | LibreCat-ID: 14830
R. Gmyr, J. Lefevre, and C. Scheideler, “Self-Stabilizing Metric Graphs,” Theory Comput. Syst., vol. 63, no. 2, pp. 177–199, 2019.
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2019 | Mastersthesis | LibreCat-ID: 14831
N. S. Sabu, FPGA Acceleration of String Search Techniques in Huge Data Sets. Paderborn University, 2019.
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2019 | Dissertation | LibreCat-ID: 14849
G. F. Vaz, 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
A. Mäcker, On Scheduling with Setup Times. Universität Paderborn, 2019.
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2019 | Book Chapter | LibreCat-ID: 14890
S. Kuhlemann, M. Sellmann, and K. Tierney, “Exploiting Counterfactuals for Scalable Stochastic Optimization,” in Lecture Notes in Computer Science, Cham, 2019.
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2019 | Journal Article | LibreCat-ID: 14896
A. Dann, B. Hermann, and E. Bodden, “ModGuard: Identifying Integrity &Confidentiality Violations in Java Modules,” IEEE Transactions on Software Engineering, pp. 1–1, 2019, doi: 10.1109/tse.2019.2931331.
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2019 | Conference Paper | LibreCat-ID: 14897
A. Dann, B. Hermann, and E. Bodden, “SootDiff: bytecode comparison across different Java compilers,” 2019, doi: 10.1145/3315568.3329966.
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2019 | Conference Paper | LibreCat-ID: 14899
S. Kruger and B. Hermann, “Can an Online Service Predict Gender? On the State-of-the-Art in Gender Identification from Texts,” 2019, doi: 10.1109/ge.2019.00012.
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2019 | Journal Article | LibreCat-ID: 14905
T. Kourouxous and T. Bauer, “Violations of Dominance in Decision-Making,” Business Research, vol. 12, no. 1, pp. 209–239, 2019.
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2019 | Journal Article | LibreCat-ID: 14990 | OA
L. Ebers, M. Hammer, M. B. Berkemeier, A. Menzel, and J. Förstner, “Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter,” OSA Continuum, vol. 2, p. 3288, 2019.
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2019 | Journal Article | LibreCat-ID: 15001
I. Couso, C. Borgelt, E. Hüllermeier, and R. Kruse, “Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning,” IEEE Computational Intelligence Magazine, pp. 31–44, 2019.
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2019 | Journal Article | LibreCat-ID: 15002 | OA
W. Waegeman, K. Dembczynski, and E. Hüllermeier, “Multi-target prediction: a unifying view on problems and methods,” Data Mining and Knowledge Discovery, vol. 33, no. 2, pp. 293–324, 2019.
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2019 | Conference Paper | LibreCat-ID: 15003
T. Mortier, M. Wydmuch, K. Dembczynski, E. Hüllermeier, and W. 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.
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