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1241 Publications


2016 | Conference Paper | LibreCat-ID: 12975
Kampmann, M., & Hellebrand, S. (2016). X Marks the Spot: Scan-Flip-Flop Clustering for Faster-than-at-Speed Test. In 25th IEEE Asian Test Symposium (ATS’16) (pp. 1–6). Hiroshima, Japan: IEEE. https://doi.org/10.1109/ats.2016.20
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2016 | Mastersthesis | LibreCat-ID: 130
Kaczorkowski, J. (2016). Wettbewerb im Internet - Eine wettbewerbspolitische Analyse des E-Commerce. Universität Paderborn.
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2016 | Mastersthesis | LibreCat-ID: 153
König, J. (2016). Shared Resource Scheduling with Interconnected Services. Universität Paderborn.
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2016 | Dissertation | LibreCat-ID: 154
Cord-Landwehr, A. (2016). Selfish Network Creation - On Variants of Network Creation Games (Vol. 353). Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn.
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2016 | Conference Paper | LibreCat-ID: 15400
Labreuche, C., Hüllermeier, E., Vojtas, P., & Fallah Tehrani, A. (2016). On the identifiability of models  in multi-criteria preference learning. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany.
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2016 | Conference Paper | LibreCat-ID: 15401
Schäfer, D., & Hüllermeier, E. (2016). Preference -based reinforcement learning using dyad ranking. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany.
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2016 | Conference Paper | LibreCat-ID: 15402
Couso, I., Ahmadi Fahandar, M., & Hüllermeier, E. (2016). Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany.
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2016 | Conference Paper | LibreCat-ID: 15403
Lu, S., & Hüllermeier, E. (2016). Support vector classification on noisy data using fuzzy superset losses. In E. Hüllermeier, F. Hoffmann, & R. Mikut (Eds.), in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany (pp. 1–8). KIT Scientific Publishing.
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2016 | Conference Paper | LibreCat-ID: 15404
Schäfer, D., & Hüllermeier, E. (2016). Plackett-Luce networks for dyad ranking. In in Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany.
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2016 | Conference Paper | LibreCat-ID: 15435
Domik, G. (2016). A data visualization course at the university of paderborn. In Pedagogy Data Visualization, IEEE VIS Workshop. Baltimore.
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