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5943 Publications


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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2016 | Conference (Editor) | LibreCat-ID: 10263
Kaminka, G.A., M. Fox, P. Bouquet, Eyke Hüllermeier, V. Dignum, F. Dignum, and F. van Harmelen, eds. ECAI 2016, 22nd European Conference on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence. Vol. 285. Frontiers in Artificial Intelligence and Applications, The Hague, The Netherlands. The Hague, The Netherlands: IOS Press, 2016.
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2016 | Journal Article | LibreCat-ID: 10264
Leinweber, M., T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, and Eyke Hüllermeier. “CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites.” IEEE Transactions on Knowledge and Data Engineering 28, no. 6 (2016): 1423–34.
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2016 | Journal Article | LibreCat-ID: 10266
Riemenschneider, M., Robin Senge, U. Neumann, Eyke Hüllermeier, and D. Heider. “Exploiting HIV-1 Protease and Reverse Transcriptase Cross-Resistance Information for Improved Drug Resistance Prediction by Means of Multi-Label Classification.” BioData Mining 9, no. 10 (2016).
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2016 | Journal Article | LibreCat-ID: 1373
Herlich, Matthias, Nico Bredenbals, and Holger Karl. “Delayed (de-)Activation in Servers with a Sleep Mode.” Sustainable Computing: Informatics and Systems 10 (2016): 48–55. https://doi.org/10.1016/j.suscom.2016.04.002.
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2016 | Conference Paper | LibreCat-ID: 137 | OA
Heindorf, Stefan, Matthias Potthast, Benno Stein, and Gregor Engels. “Vandalism Detection in Wikidata.” In Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016), 327--336, 2016. https://doi.org/10.1145/2983323.2983740.
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2016 | Book Chapter | LibreCat-ID: 2978
Blömer, Johannes, and Kathrin Bujna. “Adaptive Seeding for Gaussian Mixture Models.” In Advances in Knowledge Discovery and Data Mining, 296–308. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-31750-2_24.
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2016 | Journal Article | LibreCat-ID: 48306
Habernal, Ivan, and Iryna Gurevych. “Argumentation Mining in User-Generated Web Discourse.” Computational Linguistics 43, no. 1 (2016): 125–79. https://doi.org/10.1162/coli_a_00276.
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2016 | Conference Paper | LibreCat-ID: 48308
Habernal, Ivan, Maria Sukhareva, Fiana Raiber, Anna Shtok, Oren Kurland, Hadar Ronen, Judit Bar-Ilan, and Iryna Gurevych. “New Collection Announcement.” In Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2016. https://doi.org/10.1145/2911451.2914682.
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2016 | Conference Paper | LibreCat-ID: 48307
Habernal, Ivan, and Iryna Gurevych. “Which Argument Is More Convincing? Analyzing and Predicting Convincingness of Web Arguments Using Bidirectional LSTM.” In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2016. https://doi.org/10.18653/v1/p16-1150.
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2016 | Conference Paper | LibreCat-ID: 46364
Blot, A, H Hoos, L Jourdan, M Marmion, and Heike Trautmann. “MO-ParamILS: A Multi-Objective Automatic Algorithm Configuration Framework.” In LION 2016: Learning and Intelligent Optimization, edited by Vanschooren et al. Joaquin, 10079:32–47. LNTCS. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-50349-3_3.
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2016 | Book Chapter | LibreCat-ID: 46363
Rudolph, G, O Schütze, and Heike Trautmann. “On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front.” In Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II, edited by G Squillero and P Burelli, 42–55. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-31153-1_4.
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2016 | Conference Paper | LibreCat-ID: 46369
Kerschke, Pascal, Hao Wang, Mike Preuss, Christian Grimme, André Deutz, Heike Trautmann, and Michael Emmerich. “Towards Analyzing Multimodality of Multiobjective Landscapes.” In Proceedings of the 14$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XIV), 962–972. Lecture Notes in Computer Science. Edinburgh, Scotland: Springer, 2016. https://doi.org/10.1007/978-3-319-45823-6_90.
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2016 | Conference Paper | LibreCat-ID: 46367
Kerschke, Pascal, Mike Preuss, Simon Wessing, and Heike Trautmann. “Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models.” In Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation, 229–236. Denver, CO, USA, 2016. https://doi.org/10.1145/2908812.2908845.
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2016 | Journal Article | LibreCat-ID: 46371
Rudolph, G, O Schütze, C Grimme, C Domínguez-Medina, and Heike Trautmann. “Optimal Averaged Hausdorff Archives for Bi-Objective Problems: Theoretical and Numerical Results.” Computational Optimization and Applications (Comput. Optim. Appl.) 64, no. 2 (2016): 589–618. https://doi.org/10.1007/s10589-015-9815-8.
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