439 Publications

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[439]
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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[438]
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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[437]
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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[436]
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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[435]
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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[434]
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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[433]
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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[432]
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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[431]
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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[430]
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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[429]
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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[428]
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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[427]
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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[426]
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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[425]
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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[424]
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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[423]
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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[422]
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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[421]
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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[420]
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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[419]
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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[418]
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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[417]
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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[416]
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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[415]
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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[414]
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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[413]
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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[412]
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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[411]
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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[410]
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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[409]
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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[408]
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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[407]
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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[406]
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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[405]
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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[404]
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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[403]
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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[402]
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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[401]
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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[400]
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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[399]
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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[398]
2011 | Conference Paper | LibreCat-ID: 15762
Dembczynski K, Waegeman W, Hüllermeier E. Joint mode estimation in multi-label classification by chaining. In: In Proceedings ECML Workshop on Collective Inference and Learning on Structured Data, Athens, Greece. ; 2011.
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[397]
2011 | Conference Paper | LibreCat-ID: 15764
Mernberger M, Moog D, Stork S, Zauner S, Maier U, Hüllermeier E. Prediction of protein localization for specialized compartments using time series kernels. In: In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany. ; 2011.
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[396]
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.
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[395]
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.
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[394]
2011 | Conference Paper | LibreCat-ID: 15117
Fallah Tehrani A, Cheng W, Hüllermeier E. Choquistic regression: Generalizing logistic regression using the Choquet integral. In: In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France. ; 2011:868-875.
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[393]
2011 | Journal Article | LibreCat-ID: 16119
Hirsch O, Bösner S, Hüllermeier E, Senge R, Dembczynski K, Donner-Banzhoff N. Multivariate modeling to identify patterns in clinical data: The example of chest pain. BMC Medical Research Methodology. 2011;11(155).
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[392]
2011 | Journal Article | LibreCat-ID: 16126
Domshlak C, Hüllermeier E, Kaci S, Prade H. Preferences in AL: An overview. Artificial Intelligence. 2011;175(7-8):1037-1052.
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[391]
2011 | Journal Article | LibreCat-ID: 16147
Hüllermeier E. Fuzzy machine learning and data mining. WIREs Data Mining and Knowledge Discovery. 2011;1(4):269-283.
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[390]
2011 | Journal Article | LibreCat-ID: 16148
Mernberger M, Klebe G, Hüllermeier E. SEGA: Semi-global graph alignment for structure-based protein comparison. IEEE/ACM Transactions of Computational Biology and Bioinformatics. 2011;8(5):1330-1343.
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[389]
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.
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[388]
2011 | Journal Article | LibreCat-ID: 16150
Hüllermeier E. Fuzzy sets in machine learning and data mining. Applied Soft Computing Journal. 2011:1493-1505.
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[387]
2011 | Journal Article | LibreCat-ID: 16153
Senge R, Hüllermeier E. Top-down induction of fuzzy pattern trees. IEEE Transactions on Fuzzy Systems. 2011;19(2):241-252.
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[386]
2011 | Conference Paper | LibreCat-ID: 13194
Dembczynski K, Waegeman W, Cheng W, Hüllermeier E. An exact algorithm for F-measure maximization. In: In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain. ; 2011.
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[385]
2011 | Conference Paper | LibreCat-ID: 13195
Cheng W, Fuernkranz J, Hüllermeier E, Park SH. Preference-based policy iteration: Leveraging preference learning for reinforcement learning. In: Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, . ; 2011.
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[384]
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.
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[383]
2011 | Conference Paper | LibreCat-ID: 13197
Fallah Tehrani A, Cheng W, Dembczynski K, Hüllermeier E. Learning  monotone nonlinear models using the Choquet integral. In: In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece,. ; 2011.
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[382]
2011 | Conference Paper | LibreCat-ID: 13198
Hüllermeier E, Schlegel P. Preference-based CBR: First steps toward a methodological framework. In: Ram A, Wiratunga N, eds. In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, Number 6880 in LNAI. Springer; 2011:77-91.
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[381]
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.
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[380]
2010 | Book Chapter | LibreCat-ID: 15297
Hüllermeier E, Hühn J. An Analysis of the FURIA algorithm for fuzzy rule induction. In: Koronacki J, Ras ZW, Wierzchon ST, Kacprzyk J, eds. Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski. Vol 262. Studies in Computational Intelligence. Springer; 2010:321-344.
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[379]
2010 | Book Chapter | LibreCat-ID: 15298
Fürnkranz J, Hüllermeier E. Preference Learning: An Introduction. In: Fürnkranz J, Hüllermeier E, eds. Preference Learning. Springer; 2010:1-18.
LibreCat
 
[378]
2010 | Conference Paper | LibreCat-ID: 15765
Fober T, Mernberger M, Klebe G, Hüllermeier E. Efficient similarity retrieval for protein binding sites based on histogram comparison. In: In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany. ; 2010:51-60.
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[377]
2010 | Conference Paper | LibreCat-ID: 15772
Dembczynski K, Waegeman W, Cheng W, Hüllermeier E. On label dependence in multi-label classification. In: In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel. ; 2010.
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[376]
2010 | Conference Paper | LibreCat-ID: 15118
Fober T, Hüllermeier E. Similarity measures for protein structures based on fuzzy histogram comparison. In: In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain. ; 2010.
LibreCat
 
[375]
2010 | Conference Paper | LibreCat-ID: 15119
Senge R, Hüllermeier E. Pattern trees for regression and fuzzy systems modeling. In: In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain. ; 2010.
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[374]
2010 | Journal Article | LibreCat-ID: 16121
Pfeffer P, Fober T, Hüllermeier E, Klebe G. GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm. Journal of Chemical Information and Modeling. 2010;50(9):1644-1659.
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[373]
2010 | Journal Article | LibreCat-ID: 16151
Hüllermeier E, Vanderlooy S. Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting. Pattern Recognition. 2010;43(1):128-142.
LibreCat
 
[372]
2010 | Journal Article | LibreCat-ID: 16152
Hüllermeier E, Fürnkranz J. On predictive accuracy and risk minimization in pairwise label ranking. Journal of Computer and System Sciences. 2010;76(1):49-62.
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[371]
2010 | Conference Paper | LibreCat-ID: 13589
Dembczynski K, Cheng W, Hüllermeier E. Bayes optimal multilabel classification via probalistic classifier chains. In: Fürnkranz J, Joachims T, eds. In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel. ; 2010:279-286.
LibreCat
 
[370]
2010 | Conference Paper | LibreCat-ID: 13590
Cheng W, Dembczynski K, Hüllermeier E. Label ranking based on the Plackett-Luce model. In: Fürnkranz J, Joachims T, eds. In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel. ; 2010:215-222.
LibreCat
 
[369]
2010 | Conference Paper | LibreCat-ID: 13591
Cheng W, Dembczynski K, Hüllermeier E. Graded multi-label classification: The ordinal case. In: Fürnkranz J, Joachims T, eds. In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel. ; 2010.
LibreCat
 
[368]
2010 | Conference Paper | LibreCat-ID: 13593
Dembczynski K, Waegeman W, Cheng W, Hüllermeier E. Regret analysis for performance metrics in multi-label classification: The case of Hamming and subset zero-one loss. In: In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain. ; 2010.
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[367]
2010 | Conference Paper | LibreCat-ID: 13594
Cheng W, Rademaker M, De Beats B, Hüllermeier E. Predicting partial orders: Ranking with abstention. In: In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain. ; 2010.
LibreCat
 
[366]
2010 | Conference Paper | LibreCat-ID: 13597
Hüllermeier E. Uncertainty in clustering and classification . In: In Proceedings SUM 2010, International Conference on Scalable Uncertainty Management . Vol 6379. Springer; 2010:16-19.
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[365]
2009 | Conference Paper | LibreCat-ID: 15773
Cheng W, Hüllermeier E. A simple instance-based approach to multilabel classification using the Mallows model. In: In Proceedings MLD-2009 1st  International Workshop on Learning from Multi-Label Data, Bled, Slovenia. ; 2009:28-38.
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[364]
2009 | Conference Paper | LibreCat-ID: 15774
Senge R, Hüllermeier E. Learning pattern tree classifiers using a co-evolutionary algorithm. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 19th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2009:22-33.
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[363]
2009 | Conference Paper | LibreCat-ID: 15775
Fober T, Mernberger M, Moritz R, Hüllermeier E. Graph-kernels for the comparative analysis of protein active sites. In: Grosse I, Neumann S, Posch S, Schreiber F, Stadler P., eds. In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany. ; 2009:21-31.
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[362]
2009 | Conference Paper | LibreCat-ID: 15776
Senge R, Hüllermeier E. Learning pattern tree classifiers using a co-evolutionary algorithm. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany. ; 2009:105-110.
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[361]
2009 | Conference Paper | LibreCat-ID: 15778
Fober T, Mernberger M, Melnikov V, Moritz R, Hüllermeier E. Extension and empirical comparison of graph-kernels for the analysis of protein active sites. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany. ; 2009:30-36.
LibreCat
 
[360]
2009 | Conference Paper | LibreCat-ID: 15120
Fober T, Klebe G, Hüllermeier E. Efficient construction of multiple geometrical alignments for the comparison of protein binding sites. In: In Proceedings ISDA-2009, 9th International Conference on Intelligent Systems Design and Applications, Pisa, Italy. ; 2009:1251-1256.
LibreCat
 
[359]
2009 | Conference Paper | LibreCat-ID: 15194
Boukhris I, Elouedi Z, Fober T, Mernberger M, Hüllermeier E. Similarity analysis of protein binding sites: A generalization of the maximum common subgraph measure based on quasi-clique detection. In: In Proceedings IDA-2009, 9th International Symposium on Intelligent Data Analysis, Pisa / Italy. ; 2009:1245-1250.
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[358]
2009 | Conference Paper | LibreCat-ID: 15195
Fober T, Hüllermeier E. Fuzzy modeling of labeled point cloud superposition  for the comparison of protein binding sites. In: In Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal. ; 2009:1299-1304.
LibreCat
 
[357]
2009 | Conference Paper | LibreCat-ID: 15196
Hüllermeier E, Rifqi M. A fuzzy variant of the Rand index for comparing clustering structures. In: In Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal. ; 2009:1294-1298.
LibreCat
 
[356]
2009 | Journal Article | LibreCat-ID: 16154
Weskamp N, Hüllermeier E, Klebe G. Merging chemical and biological space: Structural mapping of enzyme binding pocket space. Proteins. 2009;76(2):317-330.
LibreCat
 
[355]
2009 | Journal Article | LibreCat-ID: 16158
Hühn J, Hüllermeier E. FURIA: An Algorithm for unordered fuzzy rule induction. Data Mining and Knowledge Discovery . 2009;19:293-319.
LibreCat
 
[354]
2009 | Journal Article | LibreCat-ID: 16159
Hüllermeier E, Vanderlooy S. Why fuzzy decision trees are good rankers. IEEE Transactions on Fuzzy Systems. 2009;17(6):1233-1244.
LibreCat
 
[353]
2009 | Journal Article | LibreCat-ID: 16160
Cheng W, Hüllermeier E. Combining instance-based learning and logistic regression for multilabel classification. Machine Learning. 2009;76(2-3):211-225.
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[352]
2009 | Journal Article | LibreCat-ID: 16161
Yi Y, Fober T, Hüllermeier E. Fuzzy operator trees for modeling rating functions. International Journal of Computational Intelligence and Applications. 2009;8(4):413-428.
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[351]
2009 | Journal Article | LibreCat-ID: 16162
Fober T, Mernberger M, Klebe G, Hüllermeier E. Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. Bioinformatics. 2009;25(16):2110-2117.
LibreCat
 
[350]
2009 | Journal Article | LibreCat-ID: 16163
Hühn J, Hüllermeier E. FR3: A fuzzy rule learner for inducing reliable classifiers. IEEE Transactions on Fuzzy Systems. 2009;17(1):138-149.
LibreCat
 
[349]
2009 | Journal Article | LibreCat-ID: 16165
Hüllermeier E, Vladimirskiy I, Prados Suarez B, Stauch E. Supporting case-based retrieval by similarity skylines: Basic concepts and extensions. Künstliche Intelligenz. 2009;1(09):24-29.
LibreCat
 
[348]
2009 | Book Chapter | LibreCat-ID: 10188
Hüllermeier E. On the usefulness of fuzzy sets in data mining. In: Seising R, ed. Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications. Springer; 2009:457-470.
LibreCat
 
[347]
2009 | Conference Paper | LibreCat-ID: 13595
Cheng W, Hühn J, Hüllermeier E. Decision tree and instance-based learning for label ranking. In: In Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada. ; 2009:161-168.
LibreCat
 
[346]
2009 | Conference Paper | LibreCat-ID: 13596
Fürnkranz J, Hüllermeier E, Vanderlooy S. Binary decomposition methods for multipartite ranking. In: In Proceedings ECML/PKDD-2009, European Conference on Machine Learning and Principles and Knowledge Discovery in Databases, Bled Sloveniaery in Databases, Bled, Slovenia. ; 2009.
LibreCat
 
[345]
2009 | Conference Paper | LibreCat-ID: 13598
Cheng W, Hüllermeier E. A new instance-based label ranking approach using the Mallows model. In Advances in Neural Networks. In: In Proceedings 6th International Symposium on Neural Networks, Wuhan, China. Springer; 2009:707-716.
LibreCat
 
[344]
2008 | Conference Paper | LibreCat-ID: 15779
Hüllermeier E, Vanderlooy S. Weighted voting as approximate MAP prediction in pairwise classification. In: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany. ; 2008:34-41.
LibreCat
 
[343]
2008 | Conference Paper | LibreCat-ID: 15780
Fober T, Hüllermeier E, Mernberger M. Evolutionary construction of multiple graph alignments for mining structured biomolecular data . In: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany. ; 2008:27-33.
LibreCat
 
[342]
2008 | Conference Paper | LibreCat-ID: 15781
Fober T, Hüllermeier E, Mernberger M. Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In: Beyer A, Schroeder M, eds. IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008. ; 2008:44-53.
LibreCat
 
[341]
2008 | Journal Article | LibreCat-ID: 16164
Hühn J, Hüllermeier E. Is an ordinal class structure useful in classifier learning? International Journal of Data Mining, Modeling and Management . 2008;1(1):45-67.
LibreCat
 
[340]
2008 | Journal Article | LibreCat-ID: 16166
Hüllermeier E, Fürnkranz J, Cheng W, Brinker K. Label ranking by learning pairwise preferences. Artificial Intelligence. 2008;172:1897-1917.
LibreCat
 
[339]
2008 | Journal Article | LibreCat-ID: 16167
Vanderlooy S, Hüllermeier E. A critical analysis of variants of the AUC. Machine Learning. 2008;72:247-272.
LibreCat
 
[338]
2008 | Journal Article | LibreCat-ID: 16168
Fürnkranz J, Hüllermeier E, Mencia E, Brinker K. Multilabel classification via calibrated label ranking. Machine Learning. 2008;73(2):133-153.
LibreCat
 
[337]
2008 | Journal Article | LibreCat-ID: 16169
Hüllermeier E, Brinker K. Learning valued preference structures for solving classification problems. Fuzzy Sets and Systems. 2008;159(18):2337-2352.
LibreCat
 
[336]
2008 | Journal Article | LibreCat-ID: 16184
Beringer J, Hüllermeier E. Case-based learning in a bipolar possibilistic framework. International Journal of Intelligent Systems. 2008;23(10):1119-1134.
LibreCat
 
[335]
2008 | Book Chapter | LibreCat-ID: 16225
Hüllermeier E. Granular computing in machine learning and data mining. In: Pedrycz W, Skowron A, Kreinovich V, eds. Handbook on Granular Computing. John Wiley and Sons; 2008:889-906.
LibreCat
 
[334]
2008 | Book Chapter | LibreCat-ID: 10154
Hüllermeier E. Fuzzy methods in data mining. In: Encyclopedia of Data Warehousing and Mining - Second Edition. Idea Group, Inc.,Hershey, USA; 2008:907-912.
LibreCat
 
[333]
2008 | Book Chapter | LibreCat-ID: 10185
Hüllermeier E, Fürnkranz J. Learning preference models from data: On the problem of label ranking and its variants. In: Della Riccia G, Dubois D, Kruse R, Lenz HJ, eds. Preferences and Similarities. Preferences and Similarities. Springer; 2008:283-304.
LibreCat
 
[332]
2008 | Conference Paper | LibreCat-ID: 13599
Hüllermeier E, Vladimirskiy I, Prados Suarez B, Stauch E. Supporting case-based retrieval by similarity skylines: Basic concepts and extensions. In: Althoff KD, Bergmann R, Minor M, Hanft A, eds. In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany. ; 2008:240-254.
LibreCat
 
[331]
2008 | Conference Paper | LibreCat-ID: 13600
Cheng W, Hüllermeier E. Learning similarity functions from qualitative feedback. In: Althoff KD, Bergmann R, Minor M, Hanft A, eds. In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany. Springer; 2008:120-134.
LibreCat
 
[330]
2007 | Conference Paper | LibreCat-ID: 15782
Cheng W, Hüllermeier E, Seeger B, Vladimirskiy I. Interactive ranking of skylines using machine learning techniques. In: In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany. ; 2007:141-148.
LibreCat
 
[329]
2007 | Conference Paper | LibreCat-ID: 15783
Fober T, Hüllermeier E, Mernberger M. Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In: Mikut R, Reischl M, eds. In Proceedings 17th Workshop Computational Intelligence, Dortmund Germany. ; 2007:1-14.
LibreCat
 
[328]
2007 | Conference Paper | LibreCat-ID: 15784
Vladimirskiy I, Hüllermeier E, Stauch E. Similarity search over uncertain archaeological data using a modified skyline operator. In: Wilson DC, Khemani D, eds. In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland. ; 2007:31-40.
LibreCat
 
[327]
2007 | Conference Paper | LibreCat-ID: 14832
Hüllermeier E, Fürnkranz J. On minimizing the position error in label ranking. In: In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007. Springer; 2007.
LibreCat
 
[326]
2007 | Conference Paper | LibreCat-ID: 14833
Brinker K, Hüllermeier E. Label ranking in case-based reasoning. In: Richter M, Weber R, eds. In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland. Vol 4626. LNAI. Springer; 2007:77-91.
LibreCat
 
[325]
2007 | Conference Paper | LibreCat-ID: 14834
Beringer J, Hüllermeier E. Efficient instance-based learning on data streams. In: Perner P, ed. In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig. Springer; 2007:34-48.
LibreCat
 
[324]
2007 | Conference Paper | LibreCat-ID: 14835
Brinker K, Hüllermeier E. Case-based multilabel ranking. In: In Proceedings IJCAI-07, 20th International Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007. ; 2007:701-707.
LibreCat
 
[323]
2007 | Conference Paper | LibreCat-ID: 15197
Hüllermeier E, Brinker K. Fuzzy-relational classificaton : Combining pairwise decomposition techniques with fuzzy preference modeling. In: In Proceedings EUSFLAT-2007 5th International Conference on the European Society for Fuzzy Logic and Technology, Ostrava, Czech Republic. Vol 1. ; 2007:353-360.
LibreCat
 
[322]
2007 | Conference Paper | LibreCat-ID: 15198
Beringer J, Hüllermeier E. Adaptive optimization of the number of clusters in fuzzy clustering, London 2007. In: In Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems. ; 2007.
LibreCat
 
[321]
2007 | Conference Paper | LibreCat-ID: 15199
Hüllermeier E, Weskamp N, Klebe G, Kuhn D. Graph alignment: Fuzzy pattern mining for the structural analysis of protein active sites. In: In Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London. ; 2007.
LibreCat
 
[320]
2007 | Journal Article | LibreCat-ID: 16170
Hüllermeier E, Yi Y. In defense of fuzzy association analysis. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics. 2007;37(4):1039-1043.
LibreCat
 
[319]
2007 | Journal Article | LibreCat-ID: 16171
Hüllermeier E. Credible case-based inference using similarity profiles. IEEE Transactions on Knowledge and Data Engineering. 2007;19(5):847-858.
LibreCat
 
[318]
2007 | Journal Article | LibreCat-ID: 16172
Beringer J, Hüllermeier E. Efficient instance-based learning on data streams. Intelligent Data Analysis. 2007;11(6):627-650.
LibreCat
 
[317]
2007 | Journal Article | LibreCat-ID: 16175
Dubois D, Hüllermeier E. Comparing probability measures using possibility theory: A notion of relative peakedness. International Journal of Approximate Reasoning. 2007;45(2):364-385.
LibreCat
 
[316]
2007 | Journal Article | LibreCat-ID: 16179
Weskamp N, Hüllermeier E, Kuhn D, Klebe G. Multiple graph aligment for the structural analysis of protein active sites. IEEE/ACM Transactions of Computational Biology and Bioinformatics. 2007;4(2):310-320.
LibreCat
 
[315]
2007 | Journal Article | LibreCat-ID: 16194
Karimi I, Hüllermeier E. Risk assessment for natural hazards: A new approach based on fuzzy probability. Fuzzy Sets and Systems. 2007;158(9):987-999.
LibreCat
 
[314]
2007 | Book Chapter | LibreCat-ID: 16224
Hüllermeier E. Why fuzzy set theory is useful in data mining. In: Masseglia F, Poncelet P, Teisseire M, eds. Successes and New Directions in Data Mining. Information Science Reference, Hershey, New York; 2007:1-16.
LibreCat
 
[313]
2007 | Book Chapter | LibreCat-ID: 16226
Beringer J, Hüllermeier E. Fuzzy clustering of parallel data streams. In: Valente de Oliveira J, Pedrycz W, eds. Advances in Fuzzy Clustering and Its Applications . John Wiley and Sons; 2007:333-352.
LibreCat
 
[312]
2007 | Book Chapter | LibreCat-ID: 16227
Hüllermeier E. Fuzzy methods for data mining and machine learning: State of the art and prospects. In: Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Springer; 2007:355-374.
LibreCat
 
[311]
2007 | Book | LibreCat-ID: 16282
Hüllermeier E. Case-Based Approximate Reasoning. Vol 44. Springer; 2007.
LibreCat
 
[310]
2007 | Conference Paper | LibreCat-ID: 13601
Sulzmann JN, Fürnkranz J, Hüllermeier E. On pairwise Naive Bayes classifiers. In: In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland. Springer; 2007.
LibreCat
 
[309]
2006 | Conference Paper | LibreCat-ID: 15785
Beringer J, Hüllermeier E. Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006. In: Mikut R, Reischl M, eds. In Proceedings 16th Workshop Computational Intelligence, Dortmund Germany. ; 2006:140-149.
LibreCat
 
[308]
2006 | Conference Paper | LibreCat-ID: 15786
Hüllermeier E, Brinker K. Classification via fuzzy preference learning. In: Mikut R, Reischl M, eds. In Proceedings 16th Workshop Computational Intelligence, Dortmund Germany. ; 2006:190-199.
LibreCat
 
[307]
2006 | Conference Paper | LibreCat-ID: 15798
Hüllermeier E. Credible case-based inference using similarity profiles. In: Minor M, ed. In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey. ; 2006:230-242.
LibreCat
 
[306]
2006 | Conference Paper | LibreCat-ID: 14836
Bade K, Hüllermeier E, Nürnberger A. Hierarchical classification by expected utility maximization. In: In Proceedings ICDM-2006, IEEE International Conference on Data Mining. IEEE Computer Society Press; 2006:43-52.
LibreCat
 
[305]
2006 | Conference Paper | LibreCat-ID: 14837
Brinker K, Hüllermeier E. Case-based label ranking. In: In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006. Springer; 2006:566-573.
LibreCat
 
[304]
2006 | Conference Paper | LibreCat-ID: 14838
Brinker K, Fuernkranz J, Hüllermeier E. A unified model for multilabel classification and ranking. In: Brewka G, Coradeschi S, Perini A, Traverso P, eds. In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva Del Garda, Italy. ; 2006:489-493.
LibreCat
 
[303]
2006 | Conference Paper | LibreCat-ID: 15201
Hüllermeier E. Integrating instance-based learning and logistic regression. In: In Proceedings IPMU-2006 11th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, France. ; 2006.
LibreCat
 
[302]
2006 | Conference Paper | LibreCat-ID: 15213
Hüllermeier E. The Choquet integral as an aggregation operator in case-based learning. In: Reusch B, ed. In Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund. Springer; 2006:615-628.
LibreCat
 
[301]
2006 | Journal Article | LibreCat-ID: 16173
Dubois D, Hüllermeier E, Prade H. A systematic approach to the assessment of fuzzy association rules. Data Mining and Knowledge Discovery. 2006;13(2):167-192.
LibreCat
 
[300]
2006 | Journal Article | LibreCat-ID: 16176
Dubois D, Hüllermeier E, Prade H. Fuzzy methods in case-based recommendation and decision support. Journal of Intelligent Information Systems. 2006;27:95-115.
LibreCat
 
[299]
2006 | Journal Article | LibreCat-ID: 16177
Hüllermeier E, Beringer J. Learning from ambiguously labeled examples. Intelligent Data Analysis. 2006;10(5):419-440.
LibreCat
 
[298]
2006 | Journal Article | LibreCat-ID: 16180
Block P, Paern J, Hüllermeier E, Sanschagrin P, Sotriffer C, Klebe G. Physicochemical descriptors to discriminate protein interactions in permanent and transient complexes by means of  machine learning algorithms. Proteins: Structure, Function and Bioinformatics. 2006;65(3):607-622.
LibreCat
 
[297]
2006 | Journal Article | LibreCat-ID: 16182
Kuhn D, Weskamp N, Schmitt S, Hüllermeier E, Klebe G. From the similarity analysis of protein cavities to the functional classification of protein families using Cavbase. Journal of Molecular Biology. 2006;359(4):1023-1044.
LibreCat
 
[296]
2006 | Journal Article | LibreCat-ID: 16183
Beringer J, Hüllermeier E. Online clustering of parallel data streams. Data and Knowledge Engineering. 2006;58(2):180-204.
LibreCat
 
[295]
2006 | Journal Article | LibreCat-ID: 16195
Karimi I, Hüllermeier E, Meskouris K. A fuzzy-probablistic earthquake risk assessment system. Soft Computing. 2006;11(3):229-238.
LibreCat
 
[294]
2005 | Conference Paper | LibreCat-ID: 15799
Brinker K, Hüllermeier E. Calibrated label-ranking. In: Agarwal S, Cortes C, Herbrich R, eds. In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada. http://web.mit.edu/shivani/www/Ranking-NIPS-05/.; 2005:1-6.
LibreCat
 
[293]
2005 | Conference Paper | LibreCat-ID: 15800
Hüllermeier E, Fürnkranz J, Beringer J. On position error and label ranking through iterated choice. In: In Proceedings LWA/FGML-2005, German Workshop on Machine Learning, Saarbrücken, Germany . ; 2005:158-163.
LibreCat
 
[292]
2005 | Conference Paper | LibreCat-ID: 14839
Hüllermeier E, NN C. A method for combining interacting pieces of evidence in case-based learning. In: Kaelbling L, Saffiotti A, eds. In Proceedings IJCAI-05, 19th International Joint Conference on Artificial Intelligence, Edingburgh, Scotland. ; 2005:3-8.
LibreCat
 
[291]
2005 | Conference Paper | LibreCat-ID: 14840
Hüllermeier E, Fürnkranz J. Learning label preferences: Ranking error versus position error. In: Famili A, Kok J, Pena J, Siebes A, Feelders A, eds. In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid. Vol 3646. LNCS. Springer; 2005:180-191.
LibreCat
 
[290]
2005 | Conference Paper | LibreCat-ID: 14841
Hüllermeier E, Beringer J. Learning from ambiguously labeled examples. In: Famili A, Kok J, Pena J, Siebes A, Feelders A, eds. In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid. Vol 3646. LNAI. Springer; 2005:168-179.
LibreCat
 
[289]
2005 | Conference Paper | LibreCat-ID: 15105
Dubois D, Hüllermeier E. A notion of comarative probabilistic entroy based on the possibilistic specificity ordering. In: In Proceedings ECSQARU-2005, 8th European Conference of Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Barcelona, Spain. ; 2005.
LibreCat
 
[288]
2005 | Conference Paper | LibreCat-ID: 15214
Karimi I, Hüllermeier E. A fuzzy-probablistic risk assessment system for natural disasters. In: In Proceedings IFSA-2005, 11th  World Congress of the International Fuzzy System Association, Beijing, China. ; 2005:1147-1153.
LibreCat
 
[287]
2005 | Conference Paper | LibreCat-ID: 15215
Lughofer E, Hüllermeier E, Klement E. Improving the interpretability of data-driven evolving fuzzy systems. In: In Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology, Barcelona, Spain. ; 2005.
LibreCat
 
[286]
2005 | Conference Paper | LibreCat-ID: 15216
Yi Y, Hüllermeier E. Learning complexity-boundet rule-based classifiers by combining association analysis and genetic algorithms. In: In Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology,  Barcelona, Spain. ; 2005.
LibreCat
 
[285]
2005 | Journal Article | LibreCat-ID: 16174
Hüllermeier E. Fuzzy sets in machine learning and data mining: Status and prospects. Fuzzy Sets and Systems. 2005;156(3):387-406.
LibreCat
 
[284]
2005 | Journal Article | LibreCat-ID: 16178
Hüllermeier E. Experience-based decision making: A satisficing decision tree approach. IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans. 2005;35(5):641-653.
LibreCat
 
[283]
2005 | Journal Article | LibreCat-ID: 16181
Balasubramaniyan R, Hüllermeier E, Weskamp N, Kämper J. Clustering of gene expression data using a local shape-based similarity measure. Bioinformatics. 2005;21(7):1069-1077.
LibreCat
 
[282]
2004 | Conference Paper | LibreCat-ID: 15801
Dubois D, Hüllermeier E, Prade H. A systematic approach to the assessment of fuzzy association rules. In: Cubero J, Sanchez D, Ras Z, Sudkamp T, eds. In Proceedings of the Workshop on Alternative Techniques for Data Mining and Knowledge Discovery, IEEE International Conference on Data Mining, Brighton, UK. ; 2004.
LibreCat
 
[281]
2004 | Conference Paper | LibreCat-ID: 15804
Weskamp N, Hüllermeier E, Kuhn D, Klebe G. Graph alignments: A new concept to detect conserved regions in protein active sites. In: Giegerich R, Stoye J, eds. In Proceedings of GCB-2004 of the German Conference on Bioinformatics, Bielefeld, Germany. Lecture Notes in Informatics, Bielefeld, Germany. Springer; 2004:131-140.
LibreCat
 
[280]
2004 | Conference Paper | LibreCat-ID: 14842
Hüllermeier E. Instance-based prediction with guaranteed confidence. In: Lopez de Mantaras R, Saitta L, eds. In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain. IOS Press; 2004:97-101.
LibreCat
 
[279]
2004 | Conference Paper | LibreCat-ID: 15217
Hüllermeier E, Fürnkranz J. Comparison of ranking procedures in pairwise preference learning. In: In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy. ; 2004.
LibreCat
 
[278]
2004 | Conference Paper | LibreCat-ID: 15218
Hüllermeier E, Fürnkranz J. Ranking by pairwise comparison: A note on risk minimization. In: In Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems, Budapest, Hungary. ; 2004.
LibreCat
 
[277]
2004 | Conference Paper | LibreCat-ID: 15219
Karimi I, Hüllermeier E, Meskouris K. An earthquake risk assessment method based on fuzzy probability. In: In Proceedings 6th International FLINS Conference on Applied  Computational Intelligence, Duinse Polders, Blankenberg,Belgien. ; 2004.
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[276]
2004 | Conference Paper | LibreCat-ID: 15220
Hüllermeier E, Beringer J. Learning decision rules from positive and negative preferences. In: In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy. ; 2004.
LibreCat
 
[275]
2004 | Journal Article | LibreCat-ID: 16185
Hüllermeier E, Renners I, Grauel A. An evolutionary approach to constraints-regularized learning. Mathware and Soft Computing. 2004;11(2-3):109-124.
LibreCat
 
[274]
2004 | Journal Article | LibreCat-ID: 16186
Weskamp N, Kuhn D, Hüllermeier E, Klebe G. Efficient similarity search in protein structure databases: Improving clique-detection through clique-hashing. Bioinformatics. 2004;20(10):1522-1526.
LibreCat
 
[273]
2004 | Journal Article | LibreCat-ID: 16187
Hüllermeier E. Flexible constraints for regularization in learning from data. International Journal of Intelligent Systems. 2004;19(6):525-541.
LibreCat
 
[272]
2003 | Conference Paper | LibreCat-ID: 15802
Weskamp N, Kuhn D, Hüllermeier E, Klebe G. Efficient similarity search in protein structure databases: Improving clique-detection through geometric hashing. In: In Proceedings GCB-2003 German Conference on Bioinformatics, Munich, Germany. ; 2003.
LibreCat
 
[271]
2003 | Conference Paper | LibreCat-ID: 15803
Hüllermeier E. Instance-based learning of credible label sets. In: Günter A, Kruse R, Neumann B, eds. In Proceedings KI-2003, 26th German Conference on Artificial Intelligence, Hamburg, Germany. 2821 in Lecture Notes in Artificial Intelligence, Hamburg, Germany. Springer; 2003.
LibreCat
 
[270]
2003 | Conference Paper | LibreCat-ID: 15065
Hüllermeier E. Regularized learning with flexible constraints. In: Berthold MR, Lenz HJ, Bradley E, Kruse R, Borgelt C, eds. In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis. Vol 2810. Lecture Notes in Computer Science, Berlin. Springer; 2003.
LibreCat
 
[269]
2003 | Conference Paper | LibreCat-ID: 15066
Fürnkranz J, Hüllermeier E. Pairwise preference learning and ranking. In: In Proceedings ECML-2003, 13 Th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia. Springer; 2003.
LibreCat
 
[268]
2003 | Conference Paper | LibreCat-ID: 15221
Hüllermeier E. Instance-based collaborative filtering with fuzzy labels. In: In Proceedings EUSFLAT-2003 3th International Conference on the European Society for Fuzzy Logic and Technology, Zittlau, Germany. ; 2003:468-473.
LibreCat
 
[267]
2003 | Conference Paper | LibreCat-ID: 15222
Dubois D, Hüllermeier E, Prade H. A note on quality measures for fuzzy association rules. In: Bilgic T, De Beats B, Kaynak O, eds. In Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey. Vol 2715. LNAI. Springer; 2003:648-677.
LibreCat
 
[266]
2003 | Conference Paper | LibreCat-ID: 15223
Hüllermeier E. Inducing fuzzy concepts through extended version space learning. In: Bilgic T, De Beats B, Kaynak O, eds. In Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey. Vol 2715. LNAI. Springer; 2003:648-677.
LibreCat
 
[265]
2003 | Journal Article | LibreCat-ID: 16188
Hüllermeier E. Possibilistic instance-based learning. Artificial Intelligence. 2003;148(1-2):335-383.
LibreCat
 
[264]
2003 | Journal Article | LibreCat-ID: 16189
De Calmès M, Dubois D, Hüllermeier E, Prade H, Sèdes F. Flexibility and case-based evaluation in querying: An Illustration in an experimental setting. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 2003;11(1):43-66.
LibreCat
 
[263]
2003 | Journal Article | LibreCat-ID: 16190
Dubois D, Hüllermeier E, Prade H. On the representation of fuzzy rules in terms of crisp rules. Information Sciences. 2003;151:301-326.
LibreCat
 
[262]
2003 | Book Chapter | LibreCat-ID: 16228
Hüllermeier E. Sequential decision making in heuristic search. In: Della Riccia G, Dubois D, Kruse R, Lenz HJ, eds. Planning Based on Decision Theory (CISM Courses and Lectures No.472). Springer; 2003.
LibreCat
 
[261]
2003 | Book Chapter | LibreCat-ID: 16229
Dubois D, Hüllermeier E, Prade H. Possibilistic case-based decisions. In: Lesage C, Cottrell M, eds. Connectionist Approaches in Economics and Management  Sciences. Vol 6. Advances in Computational Management Sciences. Kluwer; 2003.
LibreCat
 
[260]
2003 | Book Chapter | LibreCat-ID: 16230
Hüllermeier E, Beringer J. Mining implication-based fuzzy association rules in databases. In: Bouchon-Meunier B, Foulloy L, Yager RR., eds. Intelligent Systems for Information Processing: From Representation to Applications. Elsevier; 2003.
LibreCat
 
[259]
2002 | Conference Paper | LibreCat-ID: 14843
Hüllermeier E. On the representation and combination of evidence in instance-based learning. In: In Proceedings ECAI-2002, 15th European Conference on Artificial Intelligence, Lyon, France. IOS Press; 2002:360-364.
LibreCat
 
[258]
2002 | Conference Paper | LibreCat-ID: 15064
De Calmès M, Dubois D, Hüllermeier E, Prade H, Sèdes F. A fuzzy set approach to flexible case-based querying: methodology and experimentation. In: Fensel D, Giunchiglia F, Mc Guinness D, Williams MA, eds. In Proceedings KR-02, 8th International Conference on Principles of Knowledge Representation and Reasoning, France. Morgan Kaufmann; 2002:449-458.
LibreCat
 
[257]
2002 | Conference Paper | LibreCat-ID: 15098
Hüllermeier E. Association rules for expressing gradual dependencies. In: In Proceedings PKDD-02  6th European Conference on Principles and Practise of Knowledge Discovery in Databases, Helsinki, Finland. Springer; 2002:200-211.
LibreCat
 
[256]
2002 | Conference Paper | LibreCat-ID: 15101
Hüllermeier E. Possibilistic induction in decision tree learning. In: In Proceedings ECML-02, 13th European Conference on Machine Learning, Helsinki Finland. Springer; 2002:173-184.
LibreCat
 
[255]
2002 | Conference Paper | LibreCat-ID: 15226
Hüllermeier E. Mining implication-based fuzzy association rules in databases. In: In Proceedings IPMU-2002 9th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems,Annecy, France. ; 2002:101-108.
LibreCat
 
[254]
2002 | Conference Paper | LibreCat-ID: 15227
Hüllermeier E. Exploiting similarity and experience in decision making. In: In Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii. ; 2002:729-734.
LibreCat
 
[253]
2002 | Conference Paper | LibreCat-ID: 15228
De Calmès M, Dubois D, Hüllermeier E, Prade H, Sèdes F. Case-based quering and prediction: A fuzzy set approach. In: In Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii. ; 2002:735-740.
LibreCat
 
[252]
2002 | Journal Article | LibreCat-ID: 16191
Hüllermeier E, Dubois D, Prade H. Model adaption in possibilistic instance-based reasoning. IEEE Transactions on Fuzzy Systems. 2002;10(3):333-339.
LibreCat
 
[251]
2002 | Journal Article | LibreCat-ID: 16192
Dubois D, Hüllermeier E, Prade H. Fuzzy set-based methods in instance-based reasoning. IEEE Transactions on Fuzzy Systems. 2002;10(3):322-332.
LibreCat
 
[250]
2002 | Book Chapter | LibreCat-ID: 16232
Hüllermeier E, Dubois D, Prade H. Knowledge-based extrapolation of cases: A possibilistic approach. In: Bouchon-Meunier B, Gutierrez-Rios J, Magdalena L, Yager RR, eds. Technologies for Constructing Intelligent Systems. Springer; 2002:377-390.
LibreCat
 
[249]
2001 | Conference Paper | LibreCat-ID: 15300
Hüllermeier E. Experience-based decision making and learning from examples. In: In Proceedings SOR-01 Symposium on Operations Research, Duisburg, Germany. Springer; 2001.
LibreCat
 
[248]
2001 | Conference Paper | LibreCat-ID: 15805
Hüllermeier E. Possibilistic instance-based learning. In: In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany. ; 2001:108-115.
LibreCat
 
[247]
2001 | Conference Paper | LibreCat-ID: 15806
Hüllermeier E. Implication-based fuzzy association rules. In: In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany. ; 2001:93-99.
LibreCat
 
[246]
2001 | Conference Paper | LibreCat-ID: 15807
Hüllermeier E, Dubois D, Prade H. Instance-based prediction in the framework of possibility theory. In: In Proceedings of Workshop on Soft Computing in Case-Based Reasoning, Vancouver, Canada. ; 2001.
LibreCat
 
[245]
2001 | Conference Paper | LibreCat-ID: 15106
Hüllermeier E. Implication-based fuzzy association rules. In: Raedt D, Siebes A, eds. In Proceedings PKDD-01  5th European Conference on Principles and Practise of Knowledge Discovery in Databases, Freiburg, Germany. Vol 2168. LNAI. Springer; 2001:241-252.
LibreCat
 
[244]
2001 | Conference Paper | LibreCat-ID: 15229
Hüllermeier E. Fuzzy association rules: Semantic issues and quality measures. In: Reusch B, ed. In Proceedings of the International Conference on Computational Intelligence 7th Fuzzy Days, Dortmund, Germany. Vol 2206. LNCS. Springer; 2001:380-391.
LibreCat
 
[243]
2001 | Conference Paper | LibreCat-ID: 15230
Dubois D, Hüllermeier E, Prade H. Toward the representation of implication-based fuzzy rules in terms of crisp rules. In: In Proceedings IFSA/NAFIPS-2001  Joint 9th World Congress of the International Fuzzy Systems Association and 20th Internatinonal Conference of the North American Fuzzy Information Processing Society, Vancouver, Canada. ; 2001:1592-1597.
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[242]
2001 | Journal Article | LibreCat-ID: 16193
Hüllermeier E. Similarity-based inference as evidential reasoning. International Journal of Approximate Reasoning. 2001;26:67-100.
LibreCat
 
[241]
2001 | Book Chapter | LibreCat-ID: 16231
Hüllermeier E. Machinelles Lernen und Komplexität. In: Haslinger F, Weise P, eds. Ökonomie Und Gesellschaft, Jahrbuch 17: Komplexität Und Lernen. Metropolis; 2001:255-288.
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[240]
2001 | Book Chapter | LibreCat-ID: 16233
Kraft M, Hüllermeier E, Weise P. Empirische  Überprüfung eines synergetischen Konjunkturmodells. In: Lorenz H-W, Meyer B, eds. Studien Zur Evoltorischen Ökonomik IV. Duncker & Humblot, Berlin; 2001:11-44.
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[439]
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.
LibreCat
 
[438]
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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[437]
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.
LibreCat
 
[436]
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.
LibreCat
 
[435]
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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[434]
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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[433]
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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[432]
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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[431]
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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[430]
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.
LibreCat
 
[429]
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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[428]
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.
LibreCat
 
[427]
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.
LibreCat
 
[426]
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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[425]
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.
LibreCat
 
[424]
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.
LibreCat
 
[423]
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.
LibreCat
 
[422]
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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[421]
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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[420]
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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[419]
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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[418]
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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[417]
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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[416]
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.
LibreCat
 
[415]
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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[414]
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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[413]
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.
LibreCat
 
[412]
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.
LibreCat
 
[411]
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.
LibreCat
 
[410]
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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[409]
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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[408]
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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[407]
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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[406]
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.
LibreCat
 
[405]
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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[404]
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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[403]
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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[402]
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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[401]
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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[400]
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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[399]
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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[398]
2011 | Conference Paper | LibreCat-ID: 15762
Dembczynski K, Waegeman W, Hüllermeier E. Joint mode estimation in multi-label classification by chaining. In: In Proceedings ECML Workshop on Collective Inference and Learning on Structured Data, Athens, Greece. ; 2011.
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[397]
2011 | Conference Paper | LibreCat-ID: 15764
Mernberger M, Moog D, Stork S, Zauner S, Maier U, Hüllermeier E. Prediction of protein localization for specialized compartments using time series kernels. In: In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany. ; 2011.
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[396]
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.
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[395]
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.
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[394]
2011 | Conference Paper | LibreCat-ID: 15117
Fallah Tehrani A, Cheng W, Hüllermeier E. Choquistic regression: Generalizing logistic regression using the Choquet integral. In: In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France. ; 2011:868-875.
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[393]
2011 | Journal Article | LibreCat-ID: 16119
Hirsch O, Bösner S, Hüllermeier E, Senge R, Dembczynski K, Donner-Banzhoff N. Multivariate modeling to identify patterns in clinical data: The example of chest pain. BMC Medical Research Methodology. 2011;11(155).
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[392]
2011 | Journal Article | LibreCat-ID: 16126
Domshlak C, Hüllermeier E, Kaci S, Prade H. Preferences in AL: An overview. Artificial Intelligence. 2011;175(7-8):1037-1052.
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[391]
2011 | Journal Article | LibreCat-ID: 16147
Hüllermeier E. Fuzzy machine learning and data mining. WIREs Data Mining and Knowledge Discovery. 2011;1(4):269-283.
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[390]
2011 | Journal Article | LibreCat-ID: 16148
Mernberger M, Klebe G, Hüllermeier E. SEGA: Semi-global graph alignment for structure-based protein comparison. IEEE/ACM Transactions of Computational Biology and Bioinformatics. 2011;8(5):1330-1343.
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[389]
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
 
[388]
2011 | Journal Article | LibreCat-ID: 16150
Hüllermeier E. Fuzzy sets in machine learning and data mining. Applied Soft Computing Journal. 2011:1493-1505.
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[387]
2011 | Journal Article | LibreCat-ID: 16153
Senge R, Hüllermeier E. Top-down induction of fuzzy pattern trees. IEEE Transactions on Fuzzy Systems. 2011;19(2):241-252.
LibreCat
 
[386]
2011 | Conference Paper | LibreCat-ID: 13194
Dembczynski K, Waegeman W, Cheng W, Hüllermeier E. An exact algorithm for F-measure maximization. In: In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain. ; 2011.
LibreCat
 
[385]
2011 | Conference Paper | LibreCat-ID: 13195
Cheng W, Fuernkranz J, Hüllermeier E, Park SH. Preference-based policy iteration: Leveraging preference learning for reinforcement learning. In: Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, . ; 2011.
LibreCat
 
[384]
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
 
[383]
2011 | Conference Paper | LibreCat-ID: 13197
Fallah Tehrani A, Cheng W, Dembczynski K, Hüllermeier E. Learning  monotone nonlinear models using the Choquet integral. In: In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece,. ; 2011.
LibreCat
 
[382]
2011 | Conference Paper | LibreCat-ID: 13198
Hüllermeier E, Schlegel P. Preference-based CBR: First steps toward a methodological framework. In: Ram A, Wiratunga N, eds. In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, Number 6880 in LNAI. Springer; 2011:77-91.
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[381]
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
 
[380]
2010 | Book Chapter | LibreCat-ID: 15297
Hüllermeier E, Hühn J. An Analysis of the FURIA algorithm for fuzzy rule induction. In: Koronacki J, Ras ZW, Wierzchon ST, Kacprzyk J, eds. Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski. Vol 262. Studies in Computational Intelligence. Springer; 2010:321-344.
LibreCat
 
[379]
2010 | Book Chapter | LibreCat-ID: 15298
Fürnkranz J, Hüllermeier E. Preference Learning: An Introduction. In: Fürnkranz J, Hüllermeier E, eds. Preference Learning. Springer; 2010:1-18.
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[378]
2010 | Conference Paper | LibreCat-ID: 15765
Fober T, Mernberger M, Klebe G, Hüllermeier E. Efficient similarity retrieval for protein binding sites based on histogram comparison. In: In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany. ; 2010:51-60.
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[377]
2010 | Conference Paper | LibreCat-ID: 15772
Dembczynski K, Waegeman W, Cheng W, Hüllermeier E. On label dependence in multi-label classification. In: In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel. ; 2010.
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[376]
2010 | Conference Paper | LibreCat-ID: 15118
Fober T, Hüllermeier E. Similarity measures for protein structures based on fuzzy histogram comparison. In: In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain. ; 2010.
LibreCat
 
[375]
2010 | Conference Paper | LibreCat-ID: 15119
Senge R, Hüllermeier E. Pattern trees for regression and fuzzy systems modeling. In: In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain. ; 2010.
LibreCat
 
[374]
2010 | Journal Article | LibreCat-ID: 16121
Pfeffer P, Fober T, Hüllermeier E, Klebe G. GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm. Journal of Chemical Information and Modeling. 2010;50(9):1644-1659.
LibreCat
 
[373]
2010 | Journal Article | LibreCat-ID: 16151
Hüllermeier E, Vanderlooy S. Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting. Pattern Recognition. 2010;43(1):128-142.
LibreCat
 
[372]
2010 | Journal Article | LibreCat-ID: 16152
Hüllermeier E, Fürnkranz J. On predictive accuracy and risk minimization in pairwise label ranking. Journal of Computer and System Sciences. 2010;76(1):49-62.
LibreCat
 
[371]
2010 | Conference Paper | LibreCat-ID: 13589
Dembczynski K, Cheng W, Hüllermeier E. Bayes optimal multilabel classification via probalistic classifier chains. In: Fürnkranz J, Joachims T, eds. In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel. ; 2010:279-286.
LibreCat
 
[370]
2010 | Conference Paper | LibreCat-ID: 13590
Cheng W, Dembczynski K, Hüllermeier E. Label ranking based on the Plackett-Luce model. In: Fürnkranz J, Joachims T, eds. In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel. ; 2010:215-222.
LibreCat
 
[369]
2010 | Conference Paper | LibreCat-ID: 13591
Cheng W, Dembczynski K, Hüllermeier E. Graded multi-label classification: The ordinal case. In: Fürnkranz J, Joachims T, eds. In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel. ; 2010.
LibreCat
 
[368]
2010 | Conference Paper | LibreCat-ID: 13593
Dembczynski K, Waegeman W, Cheng W, Hüllermeier E. Regret analysis for performance metrics in multi-label classification: The case of Hamming and subset zero-one loss. In: In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain. ; 2010.
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[367]
2010 | Conference Paper | LibreCat-ID: 13594
Cheng W, Rademaker M, De Beats B, Hüllermeier E. Predicting partial orders: Ranking with abstention. In: In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain. ; 2010.
LibreCat
 
[366]
2010 | Conference Paper | LibreCat-ID: 13597
Hüllermeier E. Uncertainty in clustering and classification . In: In Proceedings SUM 2010, International Conference on Scalable Uncertainty Management . Vol 6379. Springer; 2010:16-19.
LibreCat
 
[365]
2009 | Conference Paper | LibreCat-ID: 15773
Cheng W, Hüllermeier E. A simple instance-based approach to multilabel classification using the Mallows model. In: In Proceedings MLD-2009 1st  International Workshop on Learning from Multi-Label Data, Bled, Slovenia. ; 2009:28-38.
LibreCat
 
[364]
2009 | Conference Paper | LibreCat-ID: 15774
Senge R, Hüllermeier E. Learning pattern tree classifiers using a co-evolutionary algorithm. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 19th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2009:22-33.
LibreCat
 
[363]
2009 | Conference Paper | LibreCat-ID: 15775
Fober T, Mernberger M, Moritz R, Hüllermeier E. Graph-kernels for the comparative analysis of protein active sites. In: Grosse I, Neumann S, Posch S, Schreiber F, Stadler P., eds. In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany. ; 2009:21-31.
LibreCat
 
[362]
2009 | Conference Paper | LibreCat-ID: 15776
Senge R, Hüllermeier E. Learning pattern tree classifiers using a co-evolutionary algorithm. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany. ; 2009:105-110.
LibreCat
 
[361]
2009 | Conference Paper | LibreCat-ID: 15778
Fober T, Mernberger M, Melnikov V, Moritz R, Hüllermeier E. Extension and empirical comparison of graph-kernels for the analysis of protein active sites. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany. ; 2009:30-36.
LibreCat
 
[360]
2009 | Conference Paper | LibreCat-ID: 15120
Fober T, Klebe G, Hüllermeier E. Efficient construction of multiple geometrical alignments for the comparison of protein binding sites. In: In Proceedings ISDA-2009, 9th International Conference on Intelligent Systems Design and Applications, Pisa, Italy. ; 2009:1251-1256.
LibreCat
 
[359]
2009 | Conference Paper | LibreCat-ID: 15194
Boukhris I, Elouedi Z, Fober T, Mernberger M, Hüllermeier E. Similarity analysis of protein binding sites: A generalization of the maximum common subgraph measure based on quasi-clique detection. In: In Proceedings IDA-2009, 9th International Symposium on Intelligent Data Analysis, Pisa / Italy. ; 2009:1245-1250.
LibreCat
 
[358]
2009 | Conference Paper | LibreCat-ID: 15195
Fober T, Hüllermeier E. Fuzzy modeling of labeled point cloud superposition  for the comparison of protein binding sites. In: In Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal. ; 2009:1299-1304.
LibreCat
 
[357]
2009 | Conference Paper | LibreCat-ID: 15196
Hüllermeier E, Rifqi M. A fuzzy variant of the Rand index for comparing clustering structures. In: In Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal. ; 2009:1294-1298.
LibreCat
 
[356]
2009 | Journal Article | LibreCat-ID: 16154
Weskamp N, Hüllermeier E, Klebe G. Merging chemical and biological space: Structural mapping of enzyme binding pocket space. Proteins. 2009;76(2):317-330.
LibreCat
 
[355]
2009 | Journal Article | LibreCat-ID: 16158
Hühn J, Hüllermeier E. FURIA: An Algorithm for unordered fuzzy rule induction. Data Mining and Knowledge Discovery . 2009;19:293-319.
LibreCat
 
[354]
2009 | Journal Article | LibreCat-ID: 16159
Hüllermeier E, Vanderlooy S. Why fuzzy decision trees are good rankers. IEEE Transactions on Fuzzy Systems. 2009;17(6):1233-1244.
LibreCat
 
[353]
2009 | Journal Article | LibreCat-ID: 16160
Cheng W, Hüllermeier E. Combining instance-based learning and logistic regression for multilabel classification. Machine Learning. 2009;76(2-3):211-225.
LibreCat
 
[352]
2009 | Journal Article | LibreCat-ID: 16161
Yi Y, Fober T, Hüllermeier E. Fuzzy operator trees for modeling rating functions. International Journal of Computational Intelligence and Applications. 2009;8(4):413-428.
LibreCat
 
[351]
2009 | Journal Article | LibreCat-ID: 16162
Fober T, Mernberger M, Klebe G, Hüllermeier E. Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. Bioinformatics. 2009;25(16):2110-2117.
LibreCat
 
[350]
2009 | Journal Article | LibreCat-ID: 16163
Hühn J, Hüllermeier E. FR3: A fuzzy rule learner for inducing reliable classifiers. IEEE Transactions on Fuzzy Systems. 2009;17(1):138-149.
LibreCat
 
[349]
2009 | Journal Article | LibreCat-ID: 16165
Hüllermeier E, Vladimirskiy I, Prados Suarez B, Stauch E. Supporting case-based retrieval by similarity skylines: Basic concepts and extensions. Künstliche Intelligenz. 2009;1(09):24-29.
LibreCat
 
[348]
2009 | Book Chapter | LibreCat-ID: 10188
Hüllermeier E. On the usefulness of fuzzy sets in data mining. In: Seising R, ed. Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications. Springer; 2009:457-470.
LibreCat
 
[347]
2009 | Conference Paper | LibreCat-ID: 13595
Cheng W, Hühn J, Hüllermeier E. Decision tree and instance-based learning for label ranking. In: In Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada. ; 2009:161-168.
LibreCat
 
[346]
2009 | Conference Paper | LibreCat-ID: 13596
Fürnkranz J, Hüllermeier E, Vanderlooy S. Binary decomposition methods for multipartite ranking. In: In Proceedings ECML/PKDD-2009, European Conference on Machine Learning and Principles and Knowledge Discovery in Databases, Bled Sloveniaery in Databases, Bled, Slovenia. ; 2009.
LibreCat
 
[345]
2009 | Conference Paper | LibreCat-ID: 13598
Cheng W, Hüllermeier E. A new instance-based label ranking approach using the Mallows model. In Advances in Neural Networks. In: In Proceedings 6th International Symposium on Neural Networks, Wuhan, China. Springer; 2009:707-716.
LibreCat
 
[344]
2008 | Conference Paper | LibreCat-ID: 15779
Hüllermeier E, Vanderlooy S. Weighted voting as approximate MAP prediction in pairwise classification. In: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany. ; 2008:34-41.
LibreCat
 
[343]
2008 | Conference Paper | LibreCat-ID: 15780
Fober T, Hüllermeier E, Mernberger M. Evolutionary construction of multiple graph alignments for mining structured biomolecular data . In: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany. ; 2008:27-33.
LibreCat
 
[342]
2008 | Conference Paper | LibreCat-ID: 15781
Fober T, Hüllermeier E, Mernberger M. Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In: Beyer A, Schroeder M, eds. IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008. ; 2008:44-53.
LibreCat
 
[341]
2008 | Journal Article | LibreCat-ID: 16164
Hühn J, Hüllermeier E. Is an ordinal class structure useful in classifier learning? International Journal of Data Mining, Modeling and Management . 2008;1(1):45-67.
LibreCat
 
[340]
2008 | Journal Article | LibreCat-ID: 16166
Hüllermeier E, Fürnkranz J, Cheng W, Brinker K. Label ranking by learning pairwise preferences. Artificial Intelligence. 2008;172:1897-1917.
LibreCat
 
[339]
2008 | Journal Article | LibreCat-ID: 16167
Vanderlooy S, Hüllermeier E. A critical analysis of variants of the AUC. Machine Learning. 2008;72:247-272.
LibreCat
 
[338]
2008 | Journal Article | LibreCat-ID: 16168
Fürnkranz J, Hüllermeier E, Mencia E, Brinker K. Multilabel classification via calibrated label ranking. Machine Learning. 2008;73(2):133-153.
LibreCat
 
[337]
2008 | Journal Article | LibreCat-ID: 16169
Hüllermeier E, Brinker K. Learning valued preference structures for solving classification problems. Fuzzy Sets and Systems. 2008;159(18):2337-2352.
LibreCat
 
[336]
2008 | Journal Article | LibreCat-ID: 16184
Beringer J, Hüllermeier E. Case-based learning in a bipolar possibilistic framework. International Journal of Intelligent Systems. 2008;23(10):1119-1134.
LibreCat
 
[335]
2008 | Book Chapter | LibreCat-ID: 16225
Hüllermeier E. Granular computing in machine learning and data mining. In: Pedrycz W, Skowron A, Kreinovich V, eds. Handbook on Granular Computing. John Wiley and Sons; 2008:889-906.
LibreCat
 
[334]
2008 | Book Chapter | LibreCat-ID: 10154
Hüllermeier E. Fuzzy methods in data mining. In: Encyclopedia of Data Warehousing and Mining - Second Edition. Idea Group, Inc.,Hershey, USA; 2008:907-912.
LibreCat
 
[333]
2008 | Book Chapter | LibreCat-ID: 10185
Hüllermeier E, Fürnkranz J. Learning preference models from data: On the problem of label ranking and its variants. In: Della Riccia G, Dubois D, Kruse R, Lenz HJ, eds. Preferences and Similarities. Preferences and Similarities. Springer; 2008:283-304.
LibreCat
 
[332]
2008 | Conference Paper | LibreCat-ID: 13599
Hüllermeier E, Vladimirskiy I, Prados Suarez B, Stauch E. Supporting case-based retrieval by similarity skylines: Basic concepts and extensions. In: Althoff KD, Bergmann R, Minor M, Hanft A, eds. In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany. ; 2008:240-254.
LibreCat
 
[331]
2008 | Conference Paper | LibreCat-ID: 13600
Cheng W, Hüllermeier E. Learning similarity functions from qualitative feedback. In: Althoff KD, Bergmann R, Minor M, Hanft A, eds. In Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany. Springer; 2008:120-134.
LibreCat
 
[330]
2007 | Conference Paper | LibreCat-ID: 15782
Cheng W, Hüllermeier E, Seeger B, Vladimirskiy I. Interactive ranking of skylines using machine learning techniques. In: In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany. ; 2007:141-148.
LibreCat
 
[329]
2007 | Conference Paper | LibreCat-ID: 15783
Fober T, Hüllermeier E, Mernberger M. Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In: Mikut R, Reischl M, eds. In Proceedings 17th Workshop Computational Intelligence, Dortmund Germany. ; 2007:1-14.
LibreCat
 
[328]
2007 | Conference Paper | LibreCat-ID: 15784
Vladimirskiy I, Hüllermeier E, Stauch E. Similarity search over uncertain archaeological data using a modified skyline operator. In: Wilson DC, Khemani D, eds. In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland. ; 2007:31-40.
LibreCat
 
[327]
2007 | Conference Paper | LibreCat-ID: 14832
Hüllermeier E, Fürnkranz J. On minimizing the position error in label ranking. In: In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007. Springer; 2007.
LibreCat
 
[326]
2007 | Conference Paper | LibreCat-ID: 14833
Brinker K, Hüllermeier E. Label ranking in case-based reasoning. In: Richter M, Weber R, eds. In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland. Vol 4626. LNAI. Springer; 2007:77-91.
LibreCat
 
[325]
2007 | Conference Paper | LibreCat-ID: 14834
Beringer J, Hüllermeier E. Efficient instance-based learning on data streams. In: Perner P, ed. In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig. Springer; 2007:34-48.
LibreCat
 
[324]
2007 | Conference Paper | LibreCat-ID: 14835
Brinker K, Hüllermeier E. Case-based multilabel ranking. In: In Proceedings IJCAI-07, 20th International Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007. ; 2007:701-707.
LibreCat
 
[323]
2007 | Conference Paper | LibreCat-ID: 15197
Hüllermeier E, Brinker K. Fuzzy-relational classificaton : Combining pairwise decomposition techniques with fuzzy preference modeling. In: In Proceedings EUSFLAT-2007 5th International Conference on the European Society for Fuzzy Logic and Technology, Ostrava, Czech Republic. Vol 1. ; 2007:353-360.
LibreCat
 
[322]
2007 | Conference Paper | LibreCat-ID: 15198
Beringer J, Hüllermeier E. Adaptive optimization of the number of clusters in fuzzy clustering, London 2007. In: In Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems. ; 2007.
LibreCat
 
[321]
2007 | Conference Paper | LibreCat-ID: 15199
Hüllermeier E, Weskamp N, Klebe G, Kuhn D. Graph alignment: Fuzzy pattern mining for the structural analysis of protein active sites. In: In Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London. ; 2007.
LibreCat
 
[320]
2007 | Journal Article | LibreCat-ID: 16170
Hüllermeier E, Yi Y. In defense of fuzzy association analysis. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics. 2007;37(4):1039-1043.
LibreCat
 
[319]
2007 | Journal Article | LibreCat-ID: 16171
Hüllermeier E. Credible case-based inference using similarity profiles. IEEE Transactions on Knowledge and Data Engineering. 2007;19(5):847-858.
LibreCat
 
[318]
2007 | Journal Article | LibreCat-ID: 16172
Beringer J, Hüllermeier E. Efficient instance-based learning on data streams. Intelligent Data Analysis. 2007;11(6):627-650.
LibreCat
 
[317]
2007 | Journal Article | LibreCat-ID: 16175
Dubois D, Hüllermeier E. Comparing probability measures using possibility theory: A notion of relative peakedness. International Journal of Approximate Reasoning. 2007;45(2):364-385.
LibreCat
 
[316]
2007 | Journal Article | LibreCat-ID: 16179
Weskamp N, Hüllermeier E, Kuhn D, Klebe G. Multiple graph aligment for the structural analysis of protein active sites. IEEE/ACM Transactions of Computational Biology and Bioinformatics. 2007;4(2):310-320.
LibreCat
 
[315]
2007 | Journal Article | LibreCat-ID: 16194
Karimi I, Hüllermeier E. Risk assessment for natural hazards: A new approach based on fuzzy probability. Fuzzy Sets and Systems. 2007;158(9):987-999.
LibreCat
 
[314]
2007 | Book Chapter | LibreCat-ID: 16224
Hüllermeier E. Why fuzzy set theory is useful in data mining. In: Masseglia F, Poncelet P, Teisseire M, eds. Successes and New Directions in Data Mining. Information Science Reference, Hershey, New York; 2007:1-16.
LibreCat
 
[313]
2007 | Book Chapter | LibreCat-ID: 16226
Beringer J, Hüllermeier E. Fuzzy clustering of parallel data streams. In: Valente de Oliveira J, Pedrycz W, eds. Advances in Fuzzy Clustering and Its Applications . John Wiley and Sons; 2007:333-352.
LibreCat
 
[312]
2007 | Book Chapter | LibreCat-ID: 16227
Hüllermeier E. Fuzzy methods for data mining and machine learning: State of the art and prospects. In: Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Springer; 2007:355-374.
LibreCat
 
[311]
2007 | Book | LibreCat-ID: 16282
Hüllermeier E. Case-Based Approximate Reasoning. Vol 44. Springer; 2007.
LibreCat
 
[310]
2007 | Conference Paper | LibreCat-ID: 13601
Sulzmann JN, Fürnkranz J, Hüllermeier E. On pairwise Naive Bayes classifiers. In: In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland. Springer; 2007.
LibreCat
 
[309]
2006 | Conference Paper | LibreCat-ID: 15785
Beringer J, Hüllermeier E. Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006. In: Mikut R, Reischl M, eds. In Proceedings 16th Workshop Computational Intelligence, Dortmund Germany. ; 2006:140-149.
LibreCat
 
[308]
2006 | Conference Paper | LibreCat-ID: 15786
Hüllermeier E, Brinker K. Classification via fuzzy preference learning. In: Mikut R, Reischl M, eds. In Proceedings 16th Workshop Computational Intelligence, Dortmund Germany. ; 2006:190-199.
LibreCat
 
[307]
2006 | Conference Paper | LibreCat-ID: 15798
Hüllermeier E. Credible case-based inference using similarity profiles. In: Minor M, ed. In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey. ; 2006:230-242.
LibreCat
 
[306]
2006 | Conference Paper | LibreCat-ID: 14836
Bade K, Hüllermeier E, Nürnberger A. Hierarchical classification by expected utility maximization. In: In Proceedings ICDM-2006, IEEE International Conference on Data Mining. IEEE Computer Society Press; 2006:43-52.
LibreCat
 
[305]
2006 | Conference Paper | LibreCat-ID: 14837
Brinker K, Hüllermeier E. Case-based label ranking. In: In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006. Springer; 2006:566-573.
LibreCat
 
[304]
2006 | Conference Paper | LibreCat-ID: 14838
Brinker K, Fuernkranz J, Hüllermeier E. A unified model for multilabel classification and ranking. In: Brewka G, Coradeschi S, Perini A, Traverso P, eds. In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva Del Garda, Italy. ; 2006:489-493.
LibreCat
 
[303]
2006 | Conference Paper | LibreCat-ID: 15201
Hüllermeier E. Integrating instance-based learning and logistic regression. In: In Proceedings IPMU-2006 11th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, France. ; 2006.
LibreCat
 
[302]
2006 | Conference Paper | LibreCat-ID: 15213
Hüllermeier E. The Choquet integral as an aggregation operator in case-based learning. In: Reusch B, ed. In Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund. Springer; 2006:615-628.
LibreCat
 
[301]
2006 | Journal Article | LibreCat-ID: 16173
Dubois D, Hüllermeier E, Prade H. A systematic approach to the assessment of fuzzy association rules. Data Mining and Knowledge Discovery. 2006;13(2):167-192.
LibreCat
 
[300]
2006 | Journal Article | LibreCat-ID: 16176
Dubois D, Hüllermeier E, Prade H. Fuzzy methods in case-based recommendation and decision support. Journal of Intelligent Information Systems. 2006;27:95-115.
LibreCat
 
[299]
2006 | Journal Article | LibreCat-ID: 16177
Hüllermeier E, Beringer J. Learning from ambiguously labeled examples. Intelligent Data Analysis. 2006;10(5):419-440.
LibreCat
 
[298]
2006 | Journal Article | LibreCat-ID: 16180
Block P, Paern J, Hüllermeier E, Sanschagrin P, Sotriffer C, Klebe G. Physicochemical descriptors to discriminate protein interactions in permanent and transient complexes by means of  machine learning algorithms. Proteins: Structure, Function and Bioinformatics. 2006;65(3):607-622.
LibreCat
 
[297]
2006 | Journal Article | LibreCat-ID: 16182
Kuhn D, Weskamp N, Schmitt S, Hüllermeier E, Klebe G. From the similarity analysis of protein cavities to the functional classification of protein families using Cavbase. Journal of Molecular Biology. 2006;359(4):1023-1044.
LibreCat
 
[296]
2006 | Journal Article | LibreCat-ID: 16183
Beringer J, Hüllermeier E. Online clustering of parallel data streams. Data and Knowledge Engineering. 2006;58(2):180-204.
LibreCat
 
[295]
2006 | Journal Article | LibreCat-ID: 16195
Karimi I, Hüllermeier E, Meskouris K. A fuzzy-probablistic earthquake risk assessment system. Soft Computing. 2006;11(3):229-238.
LibreCat
 
[294]
2005 | Conference Paper | LibreCat-ID: 15799
Brinker K, Hüllermeier E. Calibrated label-ranking. In: Agarwal S, Cortes C, Herbrich R, eds. In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada. http://web.mit.edu/shivani/www/Ranking-NIPS-05/.; 2005:1-6.
LibreCat
 
[293]
2005 | Conference Paper | LibreCat-ID: 15800
Hüllermeier E, Fürnkranz J, Beringer J. On position error and label ranking through iterated choice. In: In Proceedings LWA/FGML-2005, German Workshop on Machine Learning, Saarbrücken, Germany . ; 2005:158-163.
LibreCat
 
[292]
2005 | Conference Paper | LibreCat-ID: 14839
Hüllermeier E, NN C. A method for combining interacting pieces of evidence in case-based learning. In: Kaelbling L, Saffiotti A, eds. In Proceedings IJCAI-05, 19th International Joint Conference on Artificial Intelligence, Edingburgh, Scotland. ; 2005:3-8.
LibreCat
 
[291]
2005 | Conference Paper | LibreCat-ID: 14840
Hüllermeier E, Fürnkranz J. Learning label preferences: Ranking error versus position error. In: Famili A, Kok J, Pena J, Siebes A, Feelders A, eds. In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid. Vol 3646. LNCS. Springer; 2005:180-191.
LibreCat
 
[290]
2005 | Conference Paper | LibreCat-ID: 14841
Hüllermeier E, Beringer J. Learning from ambiguously labeled examples. In: Famili A, Kok J, Pena J, Siebes A, Feelders A, eds. In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid. Vol 3646. LNAI. Springer; 2005:168-179.
LibreCat
 
[289]
2005 | Conference Paper | LibreCat-ID: 15105
Dubois D, Hüllermeier E. A notion of comarative probabilistic entroy based on the possibilistic specificity ordering. In: In Proceedings ECSQARU-2005, 8th European Conference of Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Barcelona, Spain. ; 2005.
LibreCat
 
[288]
2005 | Conference Paper | LibreCat-ID: 15214
Karimi I, Hüllermeier E. A fuzzy-probablistic risk assessment system for natural disasters. In: In Proceedings IFSA-2005, 11th  World Congress of the International Fuzzy System Association, Beijing, China. ; 2005:1147-1153.
LibreCat
 
[287]
2005 | Conference Paper | LibreCat-ID: 15215
Lughofer E, Hüllermeier E, Klement E. Improving the interpretability of data-driven evolving fuzzy systems. In: In Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology, Barcelona, Spain. ; 2005.
LibreCat
 
[286]
2005 | Conference Paper | LibreCat-ID: 15216
Yi Y, Hüllermeier E. Learning complexity-boundet rule-based classifiers by combining association analysis and genetic algorithms. In: In Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology,  Barcelona, Spain. ; 2005.
LibreCat
 
[285]
2005 | Journal Article | LibreCat-ID: 16174
Hüllermeier E. Fuzzy sets in machine learning and data mining: Status and prospects. Fuzzy Sets and Systems. 2005;156(3):387-406.
LibreCat
 
[284]
2005 | Journal Article | LibreCat-ID: 16178
Hüllermeier E. Experience-based decision making: A satisficing decision tree approach. IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans. 2005;35(5):641-653.
LibreCat
 
[283]
2005 | Journal Article | LibreCat-ID: 16181
Balasubramaniyan R, Hüllermeier E, Weskamp N, Kämper J. Clustering of gene expression data using a local shape-based similarity measure. Bioinformatics. 2005;21(7):1069-1077.
LibreCat
 
[282]
2004 | Conference Paper | LibreCat-ID: 15801
Dubois D, Hüllermeier E, Prade H. A systematic approach to the assessment of fuzzy association rules. In: Cubero J, Sanchez D, Ras Z, Sudkamp T, eds. In Proceedings of the Workshop on Alternative Techniques for Data Mining and Knowledge Discovery, IEEE International Conference on Data Mining, Brighton, UK. ; 2004.
LibreCat
 
[281]
2004 | Conference Paper | LibreCat-ID: 15804
Weskamp N, Hüllermeier E, Kuhn D, Klebe G. Graph alignments: A new concept to detect conserved regions in protein active sites. In: Giegerich R, Stoye J, eds. In Proceedings of GCB-2004 of the German Conference on Bioinformatics, Bielefeld, Germany. Lecture Notes in Informatics, Bielefeld, Germany. Springer; 2004:131-140.
LibreCat
 
[280]
2004 | Conference Paper | LibreCat-ID: 14842
Hüllermeier E. Instance-based prediction with guaranteed confidence. In: Lopez de Mantaras R, Saitta L, eds. In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain. IOS Press; 2004:97-101.
LibreCat
 
[279]
2004 | Conference Paper | LibreCat-ID: 15217
Hüllermeier E, Fürnkranz J. Comparison of ranking procedures in pairwise preference learning. In: In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy. ; 2004.
LibreCat
 
[278]
2004 | Conference Paper | LibreCat-ID: 15218
Hüllermeier E, Fürnkranz J. Ranking by pairwise comparison: A note on risk minimization. In: In Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems, Budapest, Hungary. ; 2004.
LibreCat
 
[277]
2004 | Conference Paper | LibreCat-ID: 15219
Karimi I, Hüllermeier E, Meskouris K. An earthquake risk assessment method based on fuzzy probability. In: In Proceedings 6th International FLINS Conference on Applied  Computational Intelligence, Duinse Polders, Blankenberg,Belgien. ; 2004.
LibreCat
 
[276]
2004 | Conference Paper | LibreCat-ID: 15220
Hüllermeier E, Beringer J. Learning decision rules from positive and negative preferences. In: In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy. ; 2004.
LibreCat
 
[275]
2004 | Journal Article | LibreCat-ID: 16185
Hüllermeier E, Renners I, Grauel A. An evolutionary approach to constraints-regularized learning. Mathware and Soft Computing. 2004;11(2-3):109-124.
LibreCat
 
[274]
2004 | Journal Article | LibreCat-ID: 16186
Weskamp N, Kuhn D, Hüllermeier E, Klebe G. Efficient similarity search in protein structure databases: Improving clique-detection through clique-hashing. Bioinformatics. 2004;20(10):1522-1526.
LibreCat
 
[273]
2004 | Journal Article | LibreCat-ID: 16187
Hüllermeier E. Flexible constraints for regularization in learning from data. International Journal of Intelligent Systems. 2004;19(6):525-541.
LibreCat
 
[272]
2003 | Conference Paper | LibreCat-ID: 15802
Weskamp N, Kuhn D, Hüllermeier E, Klebe G. Efficient similarity search in protein structure databases: Improving clique-detection through geometric hashing. In: In Proceedings GCB-2003 German Conference on Bioinformatics, Munich, Germany. ; 2003.
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[271]
2003 | Conference Paper | LibreCat-ID: 15803
Hüllermeier E. Instance-based learning of credible label sets. In: Günter A, Kruse R, Neumann B, eds. In Proceedings KI-2003, 26th German Conference on Artificial Intelligence, Hamburg, Germany. 2821 in Lecture Notes in Artificial Intelligence, Hamburg, Germany. Springer; 2003.
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[270]
2003 | Conference Paper | LibreCat-ID: 15065
Hüllermeier E. Regularized learning with flexible constraints. In: Berthold MR, Lenz HJ, Bradley E, Kruse R, Borgelt C, eds. In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis. Vol 2810. Lecture Notes in Computer Science, Berlin. Springer; 2003.
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[269]
2003 | Conference Paper | LibreCat-ID: 15066
Fürnkranz J, Hüllermeier E. Pairwise preference learning and ranking. In: In Proceedings ECML-2003, 13 Th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia. Springer; 2003.
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[268]
2003 | Conference Paper | LibreCat-ID: 15221
Hüllermeier E. Instance-based collaborative filtering with fuzzy labels. In: In Proceedings EUSFLAT-2003 3th International Conference on the European Society for Fuzzy Logic and Technology, Zittlau, Germany. ; 2003:468-473.
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[267]
2003 | Conference Paper | LibreCat-ID: 15222
Dubois D, Hüllermeier E, Prade H. A note on quality measures for fuzzy association rules. In: Bilgic T, De Beats B, Kaynak O, eds. In Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey. Vol 2715. LNAI. Springer; 2003:648-677.
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[266]
2003 | Conference Paper | LibreCat-ID: 15223
Hüllermeier E. Inducing fuzzy concepts through extended version space learning. In: Bilgic T, De Beats B, Kaynak O, eds. In Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey. Vol 2715. LNAI. Springer; 2003:648-677.
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[265]
2003 | Journal Article | LibreCat-ID: 16188
Hüllermeier E. Possibilistic instance-based learning. Artificial Intelligence. 2003;148(1-2):335-383.
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[264]
2003 | Journal Article | LibreCat-ID: 16189
De Calmès M, Dubois D, Hüllermeier E, Prade H, Sèdes F. Flexibility and case-based evaluation in querying: An Illustration in an experimental setting. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 2003;11(1):43-66.
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[263]
2003 | Journal Article | LibreCat-ID: 16190
Dubois D, Hüllermeier E, Prade H. On the representation of fuzzy rules in terms of crisp rules. Information Sciences. 2003;151:301-326.
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[262]
2003 | Book Chapter | LibreCat-ID: 16228
Hüllermeier E. Sequential decision making in heuristic search. In: Della Riccia G, Dubois D, Kruse R, Lenz HJ, eds. Planning Based on Decision Theory (CISM Courses and Lectures No.472). Springer; 2003.
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[261]
2003 | Book Chapter | LibreCat-ID: 16229
Dubois D, Hüllermeier E, Prade H. Possibilistic case-based decisions. In: Lesage C, Cottrell M, eds. Connectionist Approaches in Economics and Management  Sciences. Vol 6. Advances in Computational Management Sciences. Kluwer; 2003.
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[260]
2003 | Book Chapter | LibreCat-ID: 16230
Hüllermeier E, Beringer J. Mining implication-based fuzzy association rules in databases. In: Bouchon-Meunier B, Foulloy L, Yager RR., eds. Intelligent Systems for Information Processing: From Representation to Applications. Elsevier; 2003.
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[259]
2002 | Conference Paper | LibreCat-ID: 14843
Hüllermeier E. On the representation and combination of evidence in instance-based learning. In: In Proceedings ECAI-2002, 15th European Conference on Artificial Intelligence, Lyon, France. IOS Press; 2002:360-364.
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[258]
2002 | Conference Paper | LibreCat-ID: 15064
De Calmès M, Dubois D, Hüllermeier E, Prade H, Sèdes F. A fuzzy set approach to flexible case-based querying: methodology and experimentation. In: Fensel D, Giunchiglia F, Mc Guinness D, Williams MA, eds. In Proceedings KR-02, 8th International Conference on Principles of Knowledge Representation and Reasoning, France. Morgan Kaufmann; 2002:449-458.
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[257]
2002 | Conference Paper | LibreCat-ID: 15098
Hüllermeier E. Association rules for expressing gradual dependencies. In: In Proceedings PKDD-02  6th European Conference on Principles and Practise of Knowledge Discovery in Databases, Helsinki, Finland. Springer; 2002:200-211.
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[256]
2002 | Conference Paper | LibreCat-ID: 15101
Hüllermeier E. Possibilistic induction in decision tree learning. In: In Proceedings ECML-02, 13th European Conference on Machine Learning, Helsinki Finland. Springer; 2002:173-184.
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[255]
2002 | Conference Paper | LibreCat-ID: 15226
Hüllermeier E. Mining implication-based fuzzy association rules in databases. In: In Proceedings IPMU-2002 9th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems,Annecy, France. ; 2002:101-108.
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[254]
2002 | Conference Paper | LibreCat-ID: 15227
Hüllermeier E. Exploiting similarity and experience in decision making. In: In Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii. ; 2002:729-734.
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[253]
2002 | Conference Paper | LibreCat-ID: 15228
De Calmès M, Dubois D, Hüllermeier E, Prade H, Sèdes F. Case-based quering and prediction: A fuzzy set approach. In: In Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii. ; 2002:735-740.
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[252]
2002 | Journal Article | LibreCat-ID: 16191
Hüllermeier E, Dubois D, Prade H. Model adaption in possibilistic instance-based reasoning. IEEE Transactions on Fuzzy Systems. 2002;10(3):333-339.
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[251]
2002 | Journal Article | LibreCat-ID: 16192
Dubois D, Hüllermeier E, Prade H. Fuzzy set-based methods in instance-based reasoning. IEEE Transactions on Fuzzy Systems. 2002;10(3):322-332.
LibreCat
 
[250]
2002 | Book Chapter | LibreCat-ID: 16232
Hüllermeier E, Dubois D, Prade H. Knowledge-based extrapolation of cases: A possibilistic approach. In: Bouchon-Meunier B, Gutierrez-Rios J, Magdalena L, Yager RR, eds. Technologies for Constructing Intelligent Systems. Springer; 2002:377-390.
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[249]
2001 | Conference Paper | LibreCat-ID: 15300
Hüllermeier E. Experience-based decision making and learning from examples. In: In Proceedings SOR-01 Symposium on Operations Research, Duisburg, Germany. Springer; 2001.
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[248]
2001 | Conference Paper | LibreCat-ID: 15805
Hüllermeier E. Possibilistic instance-based learning. In: In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany. ; 2001:108-115.
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[247]
2001 | Conference Paper | LibreCat-ID: 15806
Hüllermeier E. Implication-based fuzzy association rules. In: In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany. ; 2001:93-99.
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[246]
2001 | Conference Paper | LibreCat-ID: 15807
Hüllermeier E, Dubois D, Prade H. Instance-based prediction in the framework of possibility theory. In: In Proceedings of Workshop on Soft Computing in Case-Based Reasoning, Vancouver, Canada. ; 2001.
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[245]
2001 | Conference Paper | LibreCat-ID: 15106
Hüllermeier E. Implication-based fuzzy association rules. In: Raedt D, Siebes A, eds. In Proceedings PKDD-01  5th European Conference on Principles and Practise of Knowledge Discovery in Databases, Freiburg, Germany. Vol 2168. LNAI. Springer; 2001:241-252.
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[244]
2001 | Conference Paper | LibreCat-ID: 15229
Hüllermeier E. Fuzzy association rules: Semantic issues and quality measures. In: Reusch B, ed. In Proceedings of the International Conference on Computational Intelligence 7th Fuzzy Days, Dortmund, Germany. Vol 2206. LNCS. Springer; 2001:380-391.
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[243]
2001 | Conference Paper | LibreCat-ID: 15230
Dubois D, Hüllermeier E, Prade H. Toward the representation of implication-based fuzzy rules in terms of crisp rules. In: In Proceedings IFSA/NAFIPS-2001  Joint 9th World Congress of the International Fuzzy Systems Association and 20th Internatinonal Conference of the North American Fuzzy Information Processing Society, Vancouver, Canada. ; 2001:1592-1597.
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[242]
2001 | Journal Article | LibreCat-ID: 16193
Hüllermeier E. Similarity-based inference as evidential reasoning. International Journal of Approximate Reasoning. 2001;26:67-100.
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[241]
2001 | Book Chapter | LibreCat-ID: 16231
Hüllermeier E. Machinelles Lernen und Komplexität. In: Haslinger F, Weise P, eds. Ökonomie Und Gesellschaft, Jahrbuch 17: Komplexität Und Lernen. Metropolis; 2001:255-288.
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[240]
2001 | Book Chapter | LibreCat-ID: 16233
Kraft M, Hüllermeier E, Weise P. Empirische  Überprüfung eines synergetischen Konjunkturmodells. In: Lorenz H-W, Meyer B, eds. Studien Zur Evoltorischen Ökonomik IV. Duncker & Humblot, Berlin; 2001:11-44.
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