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5943 Publications


2016 | Conference Paper | LibreCat-ID: 10226
Pfannschmidt K, Hüllermeier E, Held S, Neiger R. 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. Springer; 2016:450-461.
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2016 | Conference Paper | LibreCat-ID: 10227
Labreuche C, Hüllermeier E, Vojtas P, Fallah Tehrani A. On the Identifiability of models in multi-criteria preference learning . In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning. ; 2016.
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2016 | Conference Paper | LibreCat-ID: 10228
Schäfer D, Hüllermeier E. Preference-Based Reinforcement Learning Using Dyad Ranking. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning. ; 2016.
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2016 | Conference Paper | LibreCat-ID: 10229
Couso I, Ahmadi Fahandar M, Hüllermeier E. Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning. ; 2016.
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2016 | Conference Paper | LibreCat-ID: 10230
Lu S, Hüllermeier E. Support vector classification on noisy data using fuzzy supersets losses. In: Hoffmann F, Hüllermeier E, Mikut R, eds. Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing. ; 2016:1-8.
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2016 | Conference Paper | LibreCat-ID: 10231
Schäfer D, Hüllermeier E. 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 GA, Fox M, Bouquet P, et al., eds. ECAI 2016, 22nd European Conference on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence. Vol 285. The Hague, The Netherlands: IOS Press; 2016.
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2016 | Journal Article | LibreCat-ID: 10264
Leinweber M, Fober T, Strickert M, et al. CavSimBase: A database for large scale comparison of protein binding sites. IEEE Transactions on Knowledge and Data Engineering. 2016;28(6):1423-1434.
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2016 | Journal Article | LibreCat-ID: 10266
Riemenschneider M, Senge R, Neumann U, Hüllermeier E, Heider D. Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification. BioData Mining. 2016;9(10).
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2016 | Journal Article | LibreCat-ID: 1373
Herlich M, Bredenbals N, Karl H. Delayed (de-)activation in servers with a sleep mode. Sustainable Computing: Informatics and Systems. 2016;10:48-55. doi:10.1016/j.suscom.2016.04.002
LibreCat | DOI
 

2016 | Conference Paper | LibreCat-ID: 137 | OA
Heindorf S, Potthast M, Stein B, Engels G. Vandalism Detection in Wikidata. In: Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016). ; 2016:327--336. doi:10.1145/2983323.2983740
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2016 | Book Chapter | LibreCat-ID: 2978
Blömer J, Bujna K. Adaptive Seeding for Gaussian Mixture Models. In: Advances in Knowledge Discovery and Data Mining. Springer International Publishing; 2016:296-308. doi:10.1007/978-3-319-31750-2_24
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2016 | Journal Article | LibreCat-ID: 48306
Habernal I, Gurevych I. Argumentation Mining in User-Generated Web Discourse. Computational Linguistics. 2016;43(1):125-179. doi:10.1162/coli_a_00276
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2016 | Conference Paper | LibreCat-ID: 48308
Habernal I, Sukhareva M, Raiber F, et al. New Collection Announcement. In: Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM; 2016. doi:10.1145/2911451.2914682
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2016 | Conference Paper | LibreCat-ID: 48307
Habernal I, Gurevych I. 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. doi:10.18653/v1/p16-1150
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2016 | Conference Paper | LibreCat-ID: 46364
Blot A, Hoos H, Jourdan L, Marmion M, Trautmann H. MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. In: et al. Joaquin V, ed. LION 2016: Learning and Intelligent Optimization. Vol 10079. LNTCS. Springer International Publishing; 2016:32–47. doi:10.1007/978-3-319-50349-3_3
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2016 | Book Chapter | LibreCat-ID: 46363
Rudolph G, Schütze O, Trautmann H. On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front. In: Squillero G, Burelli P, eds. Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II. Springer International Publishing; 2016:42–55. doi:10.1007/978-3-319-31153-1_4
LibreCat | DOI
 

2016 | Conference Paper | LibreCat-ID: 46369
Kerschke P, Wang H, Preuss M, et al. Towards Analyzing Multimodality of Multiobjective Landscapes. In: Proceedings of the 14$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XIV). Lecture Notes in Computer Science. Springer; 2016:962–972. doi:10.1007/978-3-319-45823-6_90
LibreCat | DOI
 

2016 | Conference Paper | LibreCat-ID: 46367
Kerschke P, Preuss M, Wessing S, Trautmann H. Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models. In: Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation. ; 2016:229–236. doi:10.1145/2908812.2908845
LibreCat | DOI
 

2016 | Journal Article | LibreCat-ID: 46371
Rudolph G, Schütze O, Grimme C, Domínguez-Medina C, Trautmann H. Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results. Computational Optimization and Applications (Comput Optim Appl). 2016;64(2):589–618. doi:10.1007/s10589-015-9815-8
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