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8957 Publications


2019 | Conference Paper | LibreCat-ID: 14819
Heinovski, J., Stratmann, L., Buse, D. S., Klingler, F., Franke, M., Oczko, M.-C. H., … Dressler, F. (2019). 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). https://doi.org/10.1109/wowmom.2019.8793008
LibreCat | DOI
 

2019 | Journal Article | LibreCat-ID: 14821
Seipelt, A. R. (2019). Aufführungs- und zensurbedingte Veränderungen im Wiener Manuskript der Freischütz-Erstaufführung 1821 in Wien. Weberiana, 29, 107–161.
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2019 | Conference Paper | LibreCat-ID: 14826
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: 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
LibreCat | DOI
 

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 | Newspaper Article | LibreCat-ID: 14903
Arsenkerschbaumer, S., & Sureth-Sloane, C. (2019). Aus Daten müssen Informationen werden. Frankfurter Allgemeine Zeitung.
LibreCat
 

2019 | Journal Article | LibreCat-ID: 15002
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
LibreCat | DOI
 

2019 | Journal Article | LibreCat-ID: 14028
Bengs, V., & Holzmann, H. (2019). Adaptive confidence sets for kink estimation. Electronic Journal of Statistics, 1523–1579. https://doi.org/10.1214/19-ejs1555
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2019 | Conference Paper | LibreCat-ID: 15007
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
LibreCat | DOI
 

2019 | Conference Paper | LibreCat-ID: 15014
Hüllermeier, E., Couso, I., & Diestercke, S. (2019). Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants. In Proceedings SUM 2019, International Conference on Scalable Uncertainty Management.
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