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2188 Publications


2016 | Book Chapter | LibreCat-ID: 8890
The general structure of the SEEL Teacher Training Course
M. Beutner, J. Schneider, in: M. Beutner (Ed.), Sounds and Audios in E-Learning Scenarios. Results and Discussions on the Basis of the SEEl Project, Köln, 2016, pp. 64–65.
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2016 | Book Chapter | LibreCat-ID: 8891
Insights in the evaluation results of the SEEL Project
M. Beutner, in: M. Beutner (Ed.), Sounds and Audios in E-Learning Scenarios. Results and Discussions on the Basis of the SEEl Project, Köln, 2016, pp. 81–83.
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2016 | Conference Paper | LibreCat-ID: 9963
Aspects of Flexible Viscoelastic Suspension Modeling for Frictional Rolling Contact Analysis using ADAMS
S. Kohl, W. Sextro, S. Schulze, in: The 2nd International Conference on Automotive Innovation and Green Energy Vehicle (AiGEV 2016), Cyberjaya, Malaysia, 2016., Cyberjaya, Malaysia, 2016, 2016, pp. 1–12.
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2016 | Journal Article | LibreCat-ID: 10661
Adaptive playouts for online learning of policies during Monte Carlo Tree Search
T. Graf, M. Platzner, Journal Theoretical Computer Science 644 (2016) 53–62.
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2016 | Encyclopedia Article | LibreCat-ID: 10785
Preference Learning
J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining, Springer, 2016.
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2016 | Conference Paper | LibreCat-ID: 11834 | OA
Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust Speech Recognition
J. Heymann, L. Drude, R. Haeb-Umbach, in: Computer Speech and Language, 2016.
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2016 | Conference Paper | LibreCat-ID: 11920 | OA
Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models
O. Walter, R. Haeb-Umbach, in: 38th German Conference on Pattern Recognition (GCPR 2016), 2016.
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2016 | Book (Editor) | LibreCat-ID: 12972
Self-aware Computing Systems: An Engineering Approach
P.R. Lewis, M. Platzner, B. Rinner, J. Tørresen, X. Yao, eds., Self-Aware Computing Systems: An Engineering Approach, Springer, Cham, 2016.
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2016 | Conference Paper | LibreCat-ID: 15400
On the identifiability of models in multi-criteria preference learning
C. Labreuche, E. Hüllermeier, P. Vojtas, A. Fallah Tehrani, 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, 2016.
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2016 | Conference Paper | LibreCat-ID: 15401
Preference -based reinforcement learning using dyad ranking
D. Schäfer, E. Hüllermeier, 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, 2016.
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2016 | Conference Paper | LibreCat-ID: 15402
Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators
I. Couso, M. Ahmadi Fahandar, E. Hüllermeier, 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, 2016.
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2016 | Conference Paper | LibreCat-ID: 14881
UTCNN: a Deep Learning Model of Stance Classification on Social Media Text
W.-F. Chen, L.-W. Ku, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics, 2016, pp. 1635–1645.
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2016 | Conference Paper | LibreCat-ID: 15111
Evaluating tests in medical diagnosis-Combining machine learning with game-theoretical concepts
K. Pfannschmidt, E. Hüllermeier, S. Held, R. Neiger, in: In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer, 2016, pp. 450–461.
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2016 | Journal Article | LibreCat-ID: 144
The complexity of equilibria for risk-modeling valuations
B. Monien, M. Mavronicolas, Theoretical Computer Science 634 (2016) 67–96.
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2016 | Book Chapter | LibreCat-ID: 10214
Preference Learning
J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining, Springer, 2016.
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2016 | Conference Paper | LibreCat-ID: 10222
Extreme F-measure maximization using sparse probability estimates
K. Jasinska, K. Dembczynski, R. Busa-Fekete, T. Klerx, E. Hüllermeier, in: M.F. Balcan, K.Q. Weinberger (Eds.), Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, 2016.
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2016 | Conference Paper | LibreCat-ID: 10223
Learning to aggregate using uninorms, in Proceedings ECML/PKDD-2016
V. Melnikov, E. Hüllermeier, in: European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp. 756–771.
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2016 | Conference Paper | LibreCat-ID: 10224
Consistency of probalistic classifier trees
K. Dembczynski, W. Kotlowski, W. Waegeman, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp. 511–526.
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2016 | Conference Paper | LibreCat-ID: 10226
Evaluating tests in medical diagnosis-Combining machine learning with game-theoretical concepts
K. Pfannschmidt, E. Hüllermeier, S. Held, R. Neiger, in: In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer, 2016, pp. 450–461.
LibreCat
 

2016 | Conference Paper | LibreCat-ID: 10227
On the Identifiability of models in multi-criteria preference learning
C. Labreuche, E. Hüllermeier, P. Vojtas, A. Fallah Tehrani, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.
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