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10594 Publications
2016 | Journal Article | LibreCat-ID: 11840 |

K. Kinoshita et al., “A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research,” EURASIP Journal on Advances in Signal Processing, 2016.
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2016 | Dissertation | LibreCat-ID: 1190
T. Isenberg, Induction-based Verification of Timed Systems. Universität Paderborn, 2016.
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2016 | Conference Paper | LibreCat-ID: 11908 |

T. Menne et al., “The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation,” in Computer Speech and Language, 2016.
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2016 | Conference Paper | LibreCat-ID: 11920 |

O. Walter and R. Haeb-Umbach, “Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models,” in 38th German Conference on Pattern Recognition (GCPR 2016), 2016.
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2016 | Conference Paper | LibreCat-ID: 12011
F. Hagenauer, C. Sommer, S. Merschjohann, T. Higuchi, F. Dressler, and O. Altintas, “Cars as the base for service discovery and provision in highly dynamic networks,” in 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2016.
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2016 | Dissertation | LibreCat-ID: 154
A. Cord-Landwehr, Selfish Network Creation - On Variants of Network Creation Games, vol. 353. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2016.
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2016 | Conference Paper | LibreCat-ID: 15400
C. Labreuche, E. Hüllermeier, P. Vojtas, and A. Fallah Tehrani, “On the identifiability of models in multi-criteria preference learning,” in in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.
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2016 | Conference Paper | LibreCat-ID: 15401
D. Schäfer and E. Hüllermeier, “Preference -based reinforcement learning using dyad ranking,” in in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, 2016.
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2016 | Conference Paper | LibreCat-ID: 15402
I. Couso, M. Ahmadi Fahandar, and E. Hüllermeier, “Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,” in in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.
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2016 | Conference Paper | LibreCat-ID: 15403
S. Lu and E. Hüllermeier, “Support vector classification on noisy data using fuzzy superset losses,” in in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany, 2016, pp. 1–8.
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