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418 Publications


2015 | Conference Paper | LibreCat-ID: 15751
Lu S, Hüllermeier E. Locally weighted regression through data imprecisiation. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 25th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2015:97-104.
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2015 | Journal Article | LibreCat-ID: 323
Jungmann A, Mohr F. An approach towards adaptive service composition in markets of composed services. Journal of Internet Services and Applications. 2015;(1):1-18. doi:10.1186/s13174-015-0022-8
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2015 | Conference Paper | LibreCat-ID: 10238
Schäfer D, Hüllermeier E. Dyad Ranking Using A Bilinear Plackett-Luce Model. In: In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD). ; 2015:227-242.
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2015 | Conference Paper | LibreCat-ID: 10240
Henzgen S, Hüllermeier E. Weighted Rank Correlation : A Flexible Approach Based on Fuzzy Order Relations. In: In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD). ; 2015:422-437.
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2015 | Conference Paper | LibreCat-ID: 10245
Lu S, Hüllermeier E. Locally weighted regression through data imprecisiation. In: Proceedings 25. Workshop Computational Intelligence. ; 2015:97-104.
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2015 | Journal Article | LibreCat-ID: 10322
Hüllermeier E. From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and alternative directions. Informatik Spektrum. 2015;38(6):500-509.
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2015 | Journal Article | LibreCat-ID: 16053
Hüllermeier E. Does machine learning need fuzzy logic? Fuzzy Sets and Systems. 2015;281:292-299.
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2015 | Journal Article | LibreCat-ID: 16058
Waegeman W, Dembczynski K, Jachnik A, Cheng W, Hüllermeier E. On the Bayes-optimality of F-measure maximizers. Journal of Machine Learning Research. 2015;15:3313-3368.
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2015 | Conference Paper | LibreCat-ID: 280
Arifulina S, Platenius MC, Mohr F, Engels G, Schäfer W. Market-Specific Service Compositions: Specification and Matching. In: Proceedings of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service Composition for the Future Internet. ; 2015:333--340. doi:10.1109/SERVICES.2015.58
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2015 | Conference Paper | LibreCat-ID: 324
Mohr F. A Metric for Functional Reusability of Services. In: Proceedings of the 14th International Conference on Software Reuse (ICSR). LNCS. ; 2015:298--313. doi:10.1007/978-3-319-14130-5_21
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2015 | Journal Article | LibreCat-ID: 10323
Garcia-Jimenez S, Bustince U, Hüllermeier E, Mesiar R, Pal NR, Pradera A. Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems. IEEE Transactions on Fuzzy Systems. 2015;23(4):1259-1273.
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2015 | Conference Paper | LibreCat-ID: 10234
Hüllermeier E, Minor M. Case-Based Reasoning Research and Development . In: In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343. Springer; 2015.
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2015 | Conference Paper | LibreCat-ID: 10239
Hüllermeier E, Cheng W. Superset Learning Based on Generalized Loss Minimization . In: In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD). ; 2015:260-275.
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2015 | Conference Paper | LibreCat-ID: 10241
Szörényi B, Busa-Fekete R, Paul A, Hüllermeier E. Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach. In: In Advances in Neural Information Processing Systems 28 (NIPS 2015). ; 2015:604-612.
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2015 | Conference Paper | LibreCat-ID: 10246
Ewerth R, Balz A, Gehlhaar J, Dembczynski K, Hüllermeier E. Depth estimation in monocular images: Quantitative versus qualitative approaches. In: Proceedings 25. Workshop Computational Intelligence. ; 2015:235-240.
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2014 | Journal Article | LibreCat-ID: 10297
Hoffmann F, Hüllermeier E, Kroll A. Ausgewählte Beiträge des GMA-Fachausschusses 5.14. Computational Intelligence Automatisierungstechnik. 2014;62(10):685-686.
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2014 | Journal Article | LibreCat-ID: 10312
Mernberger M, Moog M, Stork S, Zauner S, Maier UG, Hüllermeier E. Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances. J Bioinformatics and Computational Biology. 2014;12(1).
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2014 | Journal Article | LibreCat-ID: 10317
Krotzky T, Fober T, Hüllermeier E, Klebe G. Extended Graph-Based Models for Enhanced Similarity Search in Cavbase. IEEE/ACM Trans Comput Biology Bioinform. 2014;11(5):878-890.
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2014 | Conference Paper | LibreCat-ID: 10247
Busa-Fekete R, Szörényi B, Hüllermeier E. PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences. In: Proceedings AAAI 2014, Quebec, Canada. ; 2014:1701-1707.
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2014 | Conference Paper | LibreCat-ID: 10254
Calders T, Esposito F, Hüllermeier E, Meo R. Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France. In: Proceedings, Parts I-III. Lecture Notes in Computer Science. Springer; 2014:8724-8726.
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2014 | Journal Article | LibreCat-ID: 16079
Strickert M, Bunte K, Schleif FM, Hüllermeier E. Correlation-based embedding of pairwise score data. Neurocomputing. 2014;141:97-109.
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2014 | Conference Paper | LibreCat-ID: 10248
Busa-Fekete R, Hüllermeier E. A Survey of Preference-Based Online Learning with Bandit Algorithms. In: Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia. ; 2014:18-39.
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2014 | Conference Paper | LibreCat-ID: 10250
Fallah Tehrani A, Strickert M, Hüllermeier E. The Choquet kernel for monotone data. In: Proceedings ESANN , Bruges, Belgium. ; 2014.
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2014 | Journal Article | LibreCat-ID: 10298
Calders T, Esposito F, Hüllermeier E, Meo R. Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Data Min Knowledge Discovery. 2014;28(5-6):1129-1133.
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2014 | Journal Article | LibreCat-ID: 10313
Calders T, Esposito F, Hüllermeier E, Meo R. Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Machine Learning. 2014;97(1-2):1-3.
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2014 | Journal Article | LibreCat-ID: 10318
Stock M, Fober T, Hüllermeier E, et al. Identification of Functionally Releated Enzymes by Learning to Rank Methods. IEEE/ACM Trans Comput Biology Bioinform. 2014;11(6):1157-1169.
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2014 | Journal Article | LibreCat-ID: 16082
Senge R, Bösner S, Dembczynski K, et al. Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences. 2014;255:16-29.
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2014 | Conference Paper | LibreCat-ID: 353
Mohr F, Walther S. Template-based Generation of Semantic Services. In: Proceedings of the 14th International Conference on Software Reuse (ICSR). LNCS. ; 2014:188-203. doi:10.1007/978-3-319-14130-5_14
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2014 | Conference Paper | LibreCat-ID: 428
Mohr F. Estimating Functional Reusability of Services. In: Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC). LNCS. ; 2014:411-418.
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2014 | Conference Paper | LibreCat-ID: 447
Jungmann A, Mohr F, Kleinjohann B. Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services. In: Proceedings of the 10th World Congress on Services (SERVICES). ; 2014:346-353. doi:10.1109/SERVICES.2014.68
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2014 | Conference Paper | LibreCat-ID: 10249
Henzgen S, Hüllermeier E. Mining Rank Data. In: Proceedings Discovery Science, Bled,Slovenia . ; 2014:123-134.
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2014 | Conference Paper | LibreCat-ID: 10251
Abdel-Aziz A, Strickert M, Hüllermeier E. Learning Solution Similarity in Preference-Based CBR. In: Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland. ; 2014:17-31.
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2014 | Journal Article | LibreCat-ID: 10299
Henzgen S, Strickert M, Hüllermeier E. Visualization of evolving fuzzy rule-based systems. Evolving Systems. 2014;5(3):175-191.
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2014 | Journal Article | LibreCat-ID: 10314
Busa-Fekete R, Szörényi B, Weng P, Cheng W, Hüllermeier E. Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm. Machine Learning. 2014;97(3):327-351.
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2014 | Journal Article | LibreCat-ID: 16064
Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. International Journal of Approximate Reasoning. 2014;55(7):1519-1534.
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2014 | Journal Article | LibreCat-ID: 16069
Henzgen S, Strickert M, Hüllermeier E. Visualization of evolving fuzzy-rule-based systems. Evolving Systems. 2014;5:175-191.
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2014 | Journal Article | LibreCat-ID: 16083
Donner-Banzhoff N, Haasenritter J, Hüllermeier E, Viniol A, Bösner S, Becker A. The comprehensive diagnostic study is suggested as a design to model the diagnostic process. Journal of Clinical Epidemiology. 2014;2(67):124-132.
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2014 | Conference Paper | LibreCat-ID: 10295
Fürnkranz J, Hüllermeier E, Rudin C, Slowinski R, Sanner S. Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports. In: Vol 4. ; 2014:1-27.
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2014 | Journal Article | LibreCat-ID: 10308
Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int J Approx Reasoning. 2014;55(7):1519-1534.
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2014 | Journal Article | LibreCat-ID: 10310
Strickert M, Bunte K, Schleif F-M, Hüllermeier E. Correlation-based embedding of pairwise score data. Neurocomputing. 2014;141:97-109.
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2014 | Journal Article | LibreCat-ID: 10315
Montanés E, Senge R, Barranquero J, Quevedo JR, Del Coz JJ, Hüllermeier E. Dependent binary relevance models for multi-label classification. Pattern Recognition. 2014;47(3):1494-1508.
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2014 | Journal Article | LibreCat-ID: 16046
Agarwal M, Fallah Tehrani A, Hüllermeier E. Preference-based learning of ideal solutions in TOPSIS-like decision models. Journal of Multi-Criteria Decision Analysis. 2014;22(3-4).
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2014 | Journal Article | LibreCat-ID: 16060
Krotzky T, Fober T, Hüllermeier E, Klebe G. Extended graph-based models for enhanced similarity search in Cabase. IEEE/ACM Transactions of Computational Biology and Bioinformatics. 2014;11(5):878-890.
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2014 | Journal Article | LibreCat-ID: 16077
Busa-Fekete R, Szörenyi B, Weng P, Cheng W, Hüllermeier E. Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. Machine Learning. 2014;97(3):327-351.
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2014 | Journal Article | LibreCat-ID: 10296
Shaker A, Hüllermeier E. Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. Applied Mathematics and Computer Science. 2014;24(1):199-212.
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2014 | Journal Article | LibreCat-ID: 10309
Hüllermeier E. Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int J Approx Reasoning. 2014;55(7):1609-1613.
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2014 | Journal Article | LibreCat-ID: 10311
Senge R, Bösner S, Dembczynski K, et al. Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences. 2014;255:16-29.
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2014 | Journal Article | LibreCat-ID: 10316
Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream mining research. SIGKDD Explorations. 2014;16(1):1-10.
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2014 | Conference Paper | LibreCat-ID: 10253
Schäfer D, Hüllermeier E. Dyad Ranking Using A Bilinear Plackett-Luce Model. In: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany. ; 2014:32-33.
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2014 | Journal Article | LibreCat-ID: 16078
Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream mining research. SIGKDD Explorations. 2014;16(1):1-10.
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2014 | Journal Article | LibreCat-ID: 16080
Shaker A, Hüllermeier E. Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. International Journal of Applied Mathematics and Computer Science. 2014;24(1):199-212.
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2014 | Conference Paper | LibreCat-ID: 457
Jungmann A, Mohr F, Kleinjohann B. Applying Reinforcement Learning for Resolving Ambiguity in Service Composition. In: Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA). ; 2014:105-112. doi:10.1109/SOCA.2014.48
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2013 | Conference Paper | LibreCat-ID: 13190
Shaker A, Hüllermeier E. Recovery analysis for adaptive learning from non-stationary data streams. In: Burduk R, Jackowski K, Kurzynski M, Wozniak W, Zolnierek A, eds. In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland. Springer; 2013:289-298.
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2013 | Conference Paper | LibreCat-ID: 13119
Henzgen S, Strickert M, Hüllermeier E. Rule chains for visualizing evolving fuzzy rule-based systems. In: Burduk R, Jackowski K, Kurzynski M, Wozniak M, Zolnierek A, eds. In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland. Springer; 2013:279-288.
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2013 | Journal Article | LibreCat-ID: 16081
Bösner S, Bönisch K, Haasenritter J, Schlegel P, Hüllermeier E, Donner-Banzhoff N. Chest pain in primary care: is the localization of pain diagnostically helpful in the critical evaluation of patients? A cross sectional study. . BMC Family Practice. 2013;14(1):154-162.
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2013 | Journal Article | LibreCat-ID: 16086
Haasenritter J, Viniol A, Becker A, et al. Diagnose im Kontext - eine erweiterte Perspektive. Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen (ZEFQ). 2013;107:585-591.
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2013 | Conference Paper | LibreCat-ID: 15759
Cheng W, Hüllermeier E. A nearest neigbor approach to label ranking based on generalized labelwise loss minimization. In: In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China. ; 2013.
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2013 | Conference Paper | LibreCat-ID: 15761
Senge R, del Coz JJ, Hüllermeier E. On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery. In: Schmidt-Thieme L, Spiliopoulou M, eds. In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany . Springer; 2013.
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2013 | Conference Paper | LibreCat-ID: 13115
Szarvas G, Busa-Fekete R, Hüllermeier E. Learning to rank lexical substitutions. In: In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA. ; 2013.
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2013 | Conference Paper | LibreCat-ID: 15755
Busa-Fekete R, Fober T, Hüllermeier E. Preference-based evolutionary optimization using generalized racing algorithms. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2013:237-246.
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2013 | Journal Article | LibreCat-ID: 16044
Heider D, Senge R, Cheng W, Hüllermeier E. Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction. Bioinformatics. 2013;29(16):1946-1952.
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2013 | Conference Paper | LibreCat-ID: 485
Mohr F, Kleine Büning H. Semi-Automated Software Composition Through Generated Components. In: Proceedings of the 15th International Conference on Information Integration and Web-Based Applications & Services (IiWAS). ; 2013:676-680. doi:10.1145/2539150.2539235
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2013 | Conference Paper | LibreCat-ID: 13116
Dembczynski K, Jachnik A, Kotlowski W, Waegeman W, Hüllermeier E. Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization. In: Dasgupta S, McAllester D, eds. In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA. ; 2013:1130-1138.
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2013 | Conference Paper | LibreCat-ID: 15756
Henzgen S, Hüllermeier E. Weighted rank correlation measures based on fuzzy order relations. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2013:227-236.
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2013 | Conference Paper | LibreCat-ID: 15763
Fober T, Klebe G, Hüllermeier E. Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life. In: Lausen B, Van den Poel D, Ultsch A, eds. In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany. Springer; 2013:279-286.
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2013 | Conference Paper | LibreCat-ID: 15112
Fallah Tehrani A, Hüllermeier E. Ordinal Choquistic regression . In: Montero J, Pasi G, Ciucci D, eds. In Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy. Atlantis Press; 2013.
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2013 | Conference Paper | LibreCat-ID: 13117
Busa-Fekete R, Szoreny B, Weng P, Cheng W, Hüllermeier E. Top-k selection based on adaptive sampling of noisy preferences. In: Dasgupta S, McAllester D, eds. In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA. ; 2013:1094-1102.
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2013 | Conference Paper | LibreCat-ID: 15113
Nasiri N, Fober T, Senge R, Hüllermeier E. Fuzzy Pattern Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada. In: In Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada. ; 2013:715-721.
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2013 | Conference Paper | LibreCat-ID: 15752
Cheng W, Henzgen S, Hüllermeier E. Labelwise versus pairwise decomposition in label ranking. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany. ; 2013:129-136.
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2013 | Conference Paper | LibreCat-ID: 15757
Weng P, Busa-Fekete R, Hüllermeier E. Interactive Q-learning with ordinal rewards and unreliable tutor. In: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague. ; 2013.
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2013 | Journal Article | LibreCat-ID: 16123
Shaker A, Senge R, Hüllermeier E. Evolving fuzzy pattern trees for binary classification on data streams. Information Sciences. 2013;220:34-45.
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2013 | Conference Paper | LibreCat-ID: 13118
Hüllermeier E, Cheng W. Preference-based CBR: General ideas and basic principles. In: Rossi F, ed. In Proceedings IJCAI-13, 23rd International Joint Conference on Artificial Intelligence, Beijing, China. AAAI Press; 2013:3012-3016.
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2013 | Conference Paper | LibreCat-ID: 15753
Senge R, del Coz J, Hüllermeier E. Rectifying classifier chains for multi-label classification, Bamberg, Germany. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany. ; 2013:151-158.
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2013 | Conference Paper | LibreCat-ID: 15758
Busa-Fekete R, Szörenyi B, Weng P, Hüllermeier E. Preference-based evolutionary direct policy search. In: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague. ; 2013.
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2013 | Conference Paper | LibreCat-ID: 15760
Shaker A, Hüllermeier E. Event history analysis on data streams: An application to earthquake occurence. In: Krempl G, Zliobaite I, Wang Y, Forman G, eds. In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic. ; 2013:38-41.
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2013 | Conference Paper | LibreCat-ID: 495
Mohr F, Lettmann T, Kleine Büning H. Reducing Nondeterminism in Automated Service Composition. In: Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA). ; 2013:154-161. doi:10.1109/SOCA.2013.25
LibreCat | Files available | DOI
 

2012 | Book Chapter | LibreCat-ID: 10153
Hüllermeier E. Fuzzy rules in data mining: From fuzzy associations to gradual dependencies. In: Trillas E, Bonissone PP, Magdalena L, Kacprzyk J, eds. Combining Experimentation and Theory. Vol 271. Studies in Fuzziness and Soft Computing. Springer; 2012:123-135.
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2012 | Journal Article | LibreCat-ID: 16093
Hüllermeier E, Rifqi M, Henzgen S, Senge R. Comparing fuzzy partitions: A generalization of the Rand index and related measures. IEEE Transactions on Fuzzy Systems. 2012;20(3):546-556.
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2012 | Conference Paper | LibreCat-ID: 15754
Bräuning M, Hüllermeier E. Learning conditional lexicographic preference trees. In: In Workshops on Preference Learning at ECAI, European Conference on Artiticial Intelligence, Montpellier, France. ; 2012.
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2012 | Conference Paper | LibreCat-ID: 13191
Cheng W, Hüllermeier E. Probability estimation for mulit-class classification based on label ranking. In: Proceedings ECML/PKDD-2012, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK. ; 2012.
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2012 | Journal Article | LibreCat-ID: 16087
Fürnkranz J, Hüllermeier E, Cheng W, Park SH. Preference-based reinforcement learning: A formal framework and a policy iteration algorithm. Machine Learning. 2012;89(1):123-156.
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2012 | Journal Article | LibreCat-ID: 16094
Senge R, Fober T, Nasiri N, Hüllermeier E. Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung. At-Atomatisierungstechnik. 2012;60(10):622-629.
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2012 | Conference Paper | LibreCat-ID: 13192
Dembczynski K, Kotlowski W, Hüllermeier E. Consistent multilabel ranking through univariate loss minimization. In: Langford J, Pineau J, eds. In Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland. ; 2012.
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2012 | Conference Paper | LibreCat-ID: 15299
Leinweber M, Baumgärtner L, Mernberger M, et al. GPU-based cloud computing for comparing the structure of protein binding sites. In: In Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione D`Italia, Italy. ; 2012.
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2012 | Journal Article | LibreCat-ID: 16088
Dembczynski K, Waegeman W, Cheng W, Hüllermeier E. On label dependence and loss  minimization in multi-label classification. Machine Learning. 2012;88(1-2):5-45.
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2012 | Journal Article | LibreCat-ID: 16090
Dolorez Ruiz M, Hüllermeier E. A formal and empirical analysis of the fuzzy gamma rank correlation coefficient. Information Sciences. 2012;206:1-17.
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2012 | Conference Paper | LibreCat-ID: 13193
Dembczynski K, Waegeman W, Hüllermeier E. An analysis of chaining in multi-label classification. In: In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France . IOS Press; 2012:294-299.
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2012 | Book Chapter | LibreCat-ID: 15396
Hüllermeier E, Fallah Tehrani A. Efficient learning of classifiers based on the 2-additive Choquet integral. In: Moewes C, Nürnberger A, eds. Computational Intelligence in Intelligent Data Analysis. Studies in Computational Intelligence. Springer; 2012:17-30.
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2012 | Journal Article | LibreCat-ID: 16084
Fallah Tehrani A, Cheng W, Dembczynski K, Hüllermeier E. Learning  monotone nonlinear models using the Choquet integral. Machine Learning. 2012;89(1):183-211.
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2012 | Journal Article | LibreCat-ID: 16089
Shaker A, Hüllermeier E. IBL Streams: A system for instance-based classification and regression on data streams. Evolving Systems. 2012;3(4):235-249.
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2012 | Journal Article | LibreCat-ID: 16091
Fallah Tehrani A, Cheng W, Hüllermeier E. Preference learning using the Choquet integral: The case of multipartite ranking. IEEE Transactions on Fuzzy Systems. 2012;20(6):1102-1113.
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2012 | Conference Paper | LibreCat-ID: 13120
Cheng W, Hüllermeier E, Waegeman W, Welker V. Label ranking with partial abstention based on thresholded probalistic models. In: In Proceedings NIPS-2012, 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA. ; 2012.
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2012 | Conference Paper | LibreCat-ID: 15114
Hüllermeier E, Fallah Tehrani A. On the VC dimension of the Choquet integral. In: In Proceedings IPMU-2012 14th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy. ; 2012.
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2012 | Journal Article | LibreCat-ID: 16085
Bustince H, Pagola M, Mesiar R, Hüllermeier E, Herrera F. Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons. IEEE Transactions on Fuzzy Systems. 2012;20(3):405-415.
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2012 | Journal Article | LibreCat-ID: 16092
Fober T, Mernberger M, Klebe G, Hüllermeier E. Fingerprint kernels for protein structure comparison. Molecular Informatics. 2012;31(6-7):443-452.
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2011 | Conference Paper | LibreCat-ID: 15115
Nasiri M, Hüllermeier E, Senge R, Lughofer E. Comparing methods for knowledge-driven and data-driven fuzzy modeling: A case study in textile industry. In: In Proceedings IFSA-2011 World Congress of the International Fuzzy Systems Association, Surabaya and Bali Island, Indonesia. ; 2011:RW-103-1-6.
LibreCat
 

2011 | Journal Article | LibreCat-ID: 16149
Fober T, Glinca S, Klebe G, Hüllermeier E. Superposition and alignment of labeled point clouds. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2011;8(6):1653-1666.
LibreCat
 

2011 | Conference Paper | LibreCat-ID: 13196
Fürnkranz J, Hüllermeier E. Learning from label preferences. In: Elomaa T, Hollmen J, Mannila H, eds. In Proceedings DS-2011, 14th International  Conference on Discovery Science, Number 6926 in LNAI. Springer; 2011:2-17.
LibreCat
 

2011 | Conference Paper | LibreCat-ID: 13588
Kotlowski W, Dembczynski K, Hüllermeier E. Bipartite ranking through minimization of univariate loss. In: In Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA. ; 2011.
LibreCat
 

2011 | Conference Paper | LibreCat-ID: 15116
Lughofer E, Hüllermeier E. On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure. In: Galichet S, Montero J, Mauris G, eds. In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France. ; 2011:380-387.
LibreCat
 

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