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12230 Publications


2016 | Journal Article | LibreCat-ID: 13217
Moritzer, Elmar, Matthias Hüttner, Bernd Henning, and Manuel Webersen. “Detecting Molecular Damage.” Kunststoffe International, no. 4 (2016): 43–45.
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2016 | Conference Paper | LibreCat-ID: 13218
Moritzer, Elmar, Matthias Hüttner, Bernd Henning, and Manuel Webersen. “Non-Destructive Characterization of Hygrothermally Aged Polymers.” edited by Society of Plastics Engineers, 2016.
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2016 | Book Chapter | LibreCat-ID: 13219
Moritzer, Elmar, Matthias Hüttner, Bernd Henning, and Manuel Webersen. “Ultraschallbasierte Charakterisierung von gealterten Polymeren.” In Jahresmagazin Kunststofftechnik 2016, edited by Institut für Wissenschaftliche Veröffentlichungen, 2–7, 2016.
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2016 | Conference Paper | LibreCat-ID: 13223
Webersen, Manuel, Matthias Hüttner, Fabian Bause, Elmar Moritzer, and Bernd Henning. “Zerstörungsfreie Charakterisierung des hydrothermischen Alterungsverhaltens von Polymeren.” edited by AMA Service GmbH, 683–88, 2016. https://doi.org/10.5162/sensoren2016/P6.4.
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2016 | Book Chapter | LibreCat-ID: 13268
Trier, Matthias, and Robert Hillmann. “Does Sentiment Among Users in Online Social Networks Polarize or Balance Out? A Sociological Perspective Using Social Network Analysis.” In Understanding Complex Systems. Cham, 2016. https://doi.org/10.1007/978-3-319-43639-5_12.
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2016 | Bachelorsthesis | LibreCat-ID: 133
Dewender, Markus. Verifikation von Service Kompositionen mit Spin. Universität Paderborn, 2016.
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2016 | Bachelorsthesis | LibreCat-ID: 134
Heinisch, Philipp. Verifikation von Service Kompositionen mit Prolog. Universität Paderborn, 2016.
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2016 | Dissertation | LibreCat-ID: 10136
Eikel, Martina. Insider-Resistent Distributed Storage Systems. Universität Paderborn, 2016.
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2016 | Book Chapter | LibreCat-ID: 10214
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb. Springer, 2016.
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2016 | Conference (Editor) | LibreCat-ID: 10221
Hoffmann, F., Eyke Hüllermeier, and R. Mikut, eds. Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany, 2016.
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2016 | Conference Paper | LibreCat-ID: 10222
Jasinska, K., K. Dembczynski, Robert Busa-Fekete, Timo Klerx, and Eyke Hüllermeier. “Extreme F-Measure Maximization Using Sparse Probability Estimates .” In Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, edited by M.F. Balcan and K.Q. Weinberger, 2016.
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2016 | Conference Paper | LibreCat-ID: 10223
Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms,  in Proceedings ECML/PKDD-2016.” In European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 756–71, 2016.
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2016 | Conference Paper | LibreCat-ID: 10224
Dembczynski, K., W. Kotlowski, W. Waegeman, Robert Busa-Fekete, and Eyke Hüllermeier. “Consistency of Probalistic Classifier Trees.” In In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 511–26, 2016.
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2016 | Conference Paper | LibreCat-ID: 10225
Shabani, Aulon, Adil Paul, R. Platon, and Eyke Hüllermeier. “Predicting the Electricity Consumption of Buildings: An Improved CBR Approach.” In In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, 356–69, 2016.
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2016 | Conference Paper | LibreCat-ID: 10226
Pfannschmidt, Karlson, Eyke Hüllermeier, S. Held, and R. Neiger. “Evaluating Tests in Medical  Diagnosis-Combining Machine Learning with Game-Theoretical Concepts.” In In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, 450–61. Springer, 2016.
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2016 | Conference Paper | LibreCat-ID: 10227
Labreuche, C., Eyke Hüllermeier, P. Vojtas, and A. Fallah Tehrani. “On the Identifiability of Models in Multi-Criteria Preference Learning .” In Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
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2016 | Conference Paper | LibreCat-ID: 10228
Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning Using Dyad Ranking.” In Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
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2016 | Conference Paper | LibreCat-ID: 10229
Couso, Ines, Mohsen Ahmadi Fahandar, and Eyke Hüllermeier. “Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.” In Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
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2016 | Conference Paper | LibreCat-ID: 10230
Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data Using Fuzzy Supersets Losses.” In Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing, edited by F. Hoffmann, Eyke Hüllermeier, and R. Mikut, 1–8, 2016.
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2016 | Conference Paper | LibreCat-ID: 10231
Schäfer, Dirk, and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.” In In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.
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