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449 Publications


2014 | Conference Paper | LibreCat-ID: 457
Applying Reinforcement Learning for Resolving Ambiguity in Service Composition
A. Jungmann, F. Mohr, B. Kleinjohann, in: Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA), 2014, pp. 105–112.
LibreCat | Files available | DOI
 

2014 | Conference Paper | LibreCat-ID: 428
Estimating Functional Reusability of Services
F. Mohr, in: Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 2014, pp. 411–418.
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2014 | Journal Article | LibreCat-ID: 16046
Preference-based learning of ideal solutions in TOPSIS-like decision models
M. Agarwal, A. Fallah Tehrani, E. Hüllermeier, Journal of Multi-Criteria Decision Analysis 22 (2014).
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2014 | Journal Article | LibreCat-ID: 16060
Extended graph-based models for enhanced similarity search in Cabase
T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Transactions of Computational Biology and Bioinformatics 11 (2014) 878–890.
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2014 | Journal Article | LibreCat-ID: 16064
Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
E. Hüllermeier, International Journal of Approximate Reasoning 55 (2014) 1519–1534.
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2014 | Journal Article | LibreCat-ID: 16069
Visualization of evolving fuzzy-rule-based systems
S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191.
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2014 | Journal Article | LibreCat-ID: 16077
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.
R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning 97 (2014) 327–351.
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2014 | Journal Article | LibreCat-ID: 16078
Open challenges for data stream mining research
G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire, T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations 16 (2014) 1–10.
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2014 | Journal Article | LibreCat-ID: 16079
Correlation-based embedding of pairwise score data
M. Strickert, K. Bunte, F.M. Schleif, E. Hüllermeier, Neurocomputing 141 (2014) 97–109.
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2014 | Journal Article | LibreCat-ID: 16080
Survival analysis on data streams: Analyzing temporal events in dynamically changing environments
A. Shaker, E. Hüllermeier, International Journal of Applied Mathematics and Computer Science 24 (2014) 199–212.
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2014 | Journal Article | LibreCat-ID: 16082
Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty
R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, E. Hüllermeier, Information Sciences 255 (2014) 16–29.
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2014 | Journal Article | LibreCat-ID: 16083
The comprehensive diagnostic study is suggested as a design to model the diagnostic process
N. Donner-Banzhoff, J. Haasenritter, E. Hüllermeier, A. Viniol, S. Bösner, A. Becker, Journal of Clinical Epidemiology 2 (2014) 124–132.
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2014 | Conference Paper | LibreCat-ID: 10247
PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences
R. Busa-Fekete, B. Szörényi, E. Hüllermeier, in: Proceedings AAAI 2014, Quebec, Canada, 2014, pp. 1701–1707.
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2014 | Conference Paper | LibreCat-ID: 10248
A Survey of Preference-Based Online Learning with Bandit Algorithms
R. Busa-Fekete, E. Hüllermeier, in: Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.
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2014 | Conference Paper | LibreCat-ID: 10249
Mining Rank Data
S. Henzgen, E. Hüllermeier, in: Proceedings Discovery Science, Bled,Slovenia , 2014, pp. 123–134.
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2014 | Conference Paper | LibreCat-ID: 10250
The Choquet kernel for monotone data
A. Fallah Tehrani, M. Strickert, E. Hüllermeier, in: Proceedings ESANN , Bruges, Belgium, 2014.
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2014 | Conference Paper | LibreCat-ID: 10251
Learning Solution Similarity in Preference-Based CBR
A. Abdel-Aziz, M. Strickert, E. Hüllermeier, in: Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 2014, pp. 17–31.
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2014 | Conference Paper | LibreCat-ID: 10253
Dyad Ranking Using A Bilinear Plackett-Luce Model
D. Schäfer, E. Hüllermeier, in: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 2014, pp. 32–33.
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2014 | Conference Paper | LibreCat-ID: 10254
Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France
T. Calders, F. Esposito, E. Hüllermeier, R. Meo, in: Proceedings, Parts I-III. Lecture Notes in Computer Science, Springer, 2014, pp. 8724–8726.
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2014 | Conference Paper | LibreCat-ID: 10295
Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports
J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, S. Sanner, in: 2014, pp. 1–27.
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2014 | Journal Article | LibreCat-ID: 10296
Survival analysis on data streams: Analyzing temporal events in dynamically changing environments
A. Shaker, E. Hüllermeier, Applied Mathematics and Computer Science 24 (2014) 199–212.
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2014 | Journal Article | LibreCat-ID: 10297
Ausgewählte Beiträge des GMA-Fachausschusses 5.14
F. Hoffmann, E. Hüllermeier, A. Kroll, Computational Intelligence Automatisierungstechnik 62 (2014) 685–686.
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2014 | Journal Article | LibreCat-ID: 10298
Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track
T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Data Min. Knowledge Discovery 28 (2014) 1129–1133.
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2014 | Journal Article | LibreCat-ID: 10299
Visualization of evolving fuzzy rule-based systems
S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191.
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2014 | Journal Article | LibreCat-ID: 10308 LibreCat
 

2014 | Journal Article | LibreCat-ID: 10309 LibreCat
 

2014 | Journal Article | LibreCat-ID: 10310
Correlation-based embedding of pairwise score data
M. Strickert, K. Bunte, F.-M. Schleif, E. Hüllermeier, Neurocomputing 141 (2014) 97–109.
LibreCat
 

2014 | Journal Article | LibreCat-ID: 10311
Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty
R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, E. Hüllermeier, Information Sciences 255 (2014) 16–29.
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2014 | Journal Article | LibreCat-ID: 10312
Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances
M. Mernberger, M. Moog, S. Stork, S. Zauner, U.G. Maier, E. Hüllermeier, J. Bioinformatics and Computational Biology 12 (2014).
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2014 | Journal Article | LibreCat-ID: 10313
Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track
T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Machine Learning 97 (2014) 1–3.
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2014 | Journal Article | LibreCat-ID: 10314
Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm
R. Busa-Fekete, B. Szörényi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning 97 (2014) 327–351.
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2014 | Journal Article | LibreCat-ID: 10315
Dependent binary relevance models for multi-label classification
E. Montanés, R. Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz, E. Hüllermeier, Pattern Recognition 47 (2014) 1494–1508.
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2014 | Journal Article | LibreCat-ID: 10316
Open challenges for data stream mining research
G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire, T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations 16 (2014) 1–10.
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2014 | Journal Article | LibreCat-ID: 10317
Extended Graph-Based Models for Enhanced Similarity Search in Cavbase
T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Trans. Comput. Biology Bioinform. 11 (2014) 878–890.
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2014 | Journal Article | LibreCat-ID: 10318
Identification of Functionally Releated Enzymes by Learning to Rank Methods
M. Stock, T. Fober, E. Hüllermeier, S. Glinca, G. Klebe, T. Pahikkala, A. Airola, B. De Baets, W. Wageman, IEEE/ACM Trans. Comput. Biology Bioinform. 11 (2014) 1157–1169.
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2013 | Conference Paper | LibreCat-ID: 485
Semi-Automated Software Composition Through Generated Components
F. Mohr, H. Kleine Büning, in: Proceedings of the 15th International Conference on Information Integration and Web-Based Applications & Services (IiWAS), 2013, pp. 676–680.
LibreCat | Files available | DOI
 

2013 | Conference Paper | LibreCat-ID: 495
Reducing Nondeterminism in Automated Service Composition
F. Mohr, T. Lettmann, H. Kleine Büning, in: Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA), 2013, pp. 154–161.
LibreCat | Files available | DOI
 

2013 | Conference Paper | LibreCat-ID: 15752
Labelwise versus pairwise decomposition in label ranking
W. Cheng, S. Henzgen, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–136.
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2013 | Conference Paper | LibreCat-ID: 15753
Rectifying classifier chains for multi-label classification, Bamberg, Germany
R. Senge, J. del Coz, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–158.
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2013 | Conference Paper | LibreCat-ID: 15755
Preference-based evolutionary optimization using generalized racing algorithms
R. Busa-Fekete, T. Fober, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2013, pp. 237–246.
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2013 | Conference Paper | LibreCat-ID: 15756
Weighted rank correlation measures based on fuzzy order relations
S. Henzgen, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2013, pp. 227–236.
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2013 | Conference Paper | LibreCat-ID: 15757
Interactive Q-learning with ordinal rewards and unreliable tutor
P. Weng, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.
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2013 | Conference Paper | LibreCat-ID: 15758
Preference-based evolutionary direct policy search
R. Busa-Fekete, B. Szörenyi, P. Weng, E. Hüllermeier, in: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.
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2013 | Conference Paper | LibreCat-ID: 15759
A nearest neigbor approach to label ranking based on generalized labelwise loss minimization
W. Cheng, E. Hüllermeier, in: In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China, 2013.
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2013 | Conference Paper | LibreCat-ID: 15760
Event history analysis on data streams: An application to earthquake occurence
A. Shaker, E. Hüllermeier, in: G. Krempl, I. Zliobaite, Y. Wang, G. Forman (Eds.), In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic, 2013, pp. 38–41.
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2013 | Conference Paper | LibreCat-ID: 15761
On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery
R. Senge, J.J. del Coz, E. Hüllermeier, in: L. Schmidt-Thieme, M. Spiliopoulou (Eds.), In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany , Springer, 2013.
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2013 | Conference Paper | LibreCat-ID: 15763
Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life
T. Fober, G. Klebe, E. Hüllermeier, in: B. Lausen, D. Van den Poel, A. Ultsch (Eds.), In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany, Springer, 2013, pp. 279–286.
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2013 | Conference Paper | LibreCat-ID: 15112
Ordinal Choquistic regression
A. Fallah Tehrani, E. Hüllermeier, in: J. Montero, G. Pasi, D. Ciucci (Eds.), In Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy, Atlantis Press, 2013.
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2013 | Conference Paper | LibreCat-ID: 15113
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
N. Nasiri, T. Fober, R. Senge, E. Hüllermeier, in: In Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada, 2013, pp. 715–721.
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2013 | Journal Article | LibreCat-ID: 16044
Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction
D. Heider, R. Senge, W. Cheng, E. Hüllermeier, Bioinformatics 29 (2013) 1946–1952.
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2013 | Journal Article | LibreCat-ID: 16081
Chest pain in primary care: is the localization of pain diagnostically helpful in the critical evaluation of patients? A cross sectional study.
S. Bösner, K. Bönisch, J. Haasenritter , P. Schlegel, E. Hüllermeier, N. Donner-Banzhoff, BMC Family Practice 14 (2013) 154–162.
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2013 | Journal Article | LibreCat-ID: 16086
Diagnose im Kontext - eine erweiterte Perspektive
J. Haasenritter, A. Viniol, A. Becker, S. Bösner, E. Hüllermeier, R. Senge, N. Donner-Banzhoff, Zeitschrift Für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen (ZEFQ) 107 (2013) 585–591.
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2013 | Journal Article | LibreCat-ID: 16123
Evolving fuzzy pattern trees for binary classification on data streams
A. Shaker, R. Senge, E. Hüllermeier, Information Sciences 220 (2013) 34–45.
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2013 | Conference Paper | LibreCat-ID: 13115
Learning to rank lexical substitutions
G. Szarvas, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA, 2013.
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2013 | Conference Paper | LibreCat-ID: 13116
Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization
K. Dembczynski, A. Jachnik, W. Kotlowski, W. Waegeman, E. Hüllermeier, in: S. Dasgupta, D. McAllester (Eds.), In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1130–1138.
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2013 | Conference Paper | LibreCat-ID: 13117
Top-k selection based on adaptive sampling of noisy preferences
R. Busa-Fekete, B. Szoreny, P. Weng, W. Cheng, E. Hüllermeier, in: S. Dasgupta, D. McAllester (Eds.), In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1094–1102.
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2013 | Conference Paper | LibreCat-ID: 13118
Preference-based CBR: General ideas and basic principles
E. Hüllermeier, W. Cheng, in: F. Rossi (Ed.), In Proceedings IJCAI-13, 23rd International Joint Conference on Artificial Intelligence, Beijing, China, AAAI Press, 2013, pp. 3012–3016.
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2013 | Conference Paper | LibreCat-ID: 13119
Rule chains for visualizing evolving fuzzy rule-based systems
S. Henzgen, M. Strickert, E. Hüllermeier, in: R. Burduk, K. Jackowski, M. Kurzynski, M. Wozniak, A. Zolnierek (Eds.), In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, Springer, 2013, pp. 279–288.
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2013 | Conference Paper | LibreCat-ID: 13190
Recovery analysis for adaptive learning from non-stationary data streams
A. Shaker, E. Hüllermeier, in: R. Burduk, K. Jackowski, M. Kurzynski, W. Wozniak, A. Zolnierek (Eds.), In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, Springer, 2013, pp. 289–298.
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2012 | Conference Paper | LibreCat-ID: 15299
GPU-based cloud computing for comparing the structure of protein binding sites
M. Leinweber, L. Baumgärtner, M. Mernberger, T. Fober, E. Hüllermeier, G. Klebe, B. Freisleben, in: In Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione D`Italia, Italy, 2012.
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2012 | Book Chapter | LibreCat-ID: 15396
Efficient learning of classifiers based on the 2-additive Choquet integral
E. Hüllermeier, A. Fallah Tehrani, in: C. Moewes, A. Nürnberger (Eds.), Computational Intelligence in Intelligent Data Analysis, Springer, 2012, pp. 17–30.
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2012 | Conference Paper | LibreCat-ID: 15754
Learning conditional lexicographic preference trees
M. Bräuning, E. Hüllermeier, in: In Workshops on Preference Learning at ECAI, European Conference on Artiticial Intelligence, Montpellier, France, 2012.
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2012 | Conference Paper | LibreCat-ID: 15114
On the VC dimension of the Choquet integral
E. Hüllermeier, A. Fallah Tehrani, in: In Proceedings IPMU-2012 14th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy, 2012.
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2012 | Journal Article | LibreCat-ID: 16084
Learning monotone nonlinear models using the Choquet integral
A. Fallah Tehrani, W. Cheng, K. Dembczynski, E. Hüllermeier, Machine Learning 89 (2012) 183–211.
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2012 | Journal Article | LibreCat-ID: 16085
Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons
H. Bustince, M. Pagola, R. Mesiar, E. Hüllermeier, F. Herrera, IEEE Transactions on Fuzzy Systems 20 (2012) 405–415.
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2012 | Journal Article | LibreCat-ID: 16087
Preference-based reinforcement learning: A formal framework and a policy iteration algorithm
J. Fürnkranz, E. Hüllermeier, W. Cheng, S.H. Park, Machine Learning 89 (2012) 123–156.
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2012 | Journal Article | LibreCat-ID: 16088
On label dependence and loss minimization in multi-label classification
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, Machine Learning 88 (2012) 5–45.
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2012 | Journal Article | LibreCat-ID: 16089
IBL Streams: A system for instance-based classification and regression on data streams
A. Shaker, E. Hüllermeier, Evolving Systems 3 (2012) 235–249.
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2012 | Journal Article | LibreCat-ID: 16090
A formal and empirical analysis of the fuzzy gamma rank correlation coefficient
M. Dolorez Ruiz, E. Hüllermeier, Information Sciences 206 (2012) 1–17.
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2012 | Journal Article | LibreCat-ID: 16091
Preference learning using the Choquet integral: The case of multipartite ranking
A. Fallah Tehrani, W. Cheng, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 20 (2012) 1102–1113.
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2012 | Journal Article | LibreCat-ID: 16092
Fingerprint kernels for protein structure comparison
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, Molecular Informatics 31 (2012) 443–452.
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2012 | Journal Article | LibreCat-ID: 16093
Comparing fuzzy partitions: A generalization of the Rand index and related measures
E. Hüllermeier, M. Rifqi, S. Henzgen, R. Senge, IEEE Transactions on Fuzzy Systems 20 (2012) 546–556.
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2012 | Journal Article | LibreCat-ID: 16094
Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung
R. Senge, T. Fober, N. Nasiri, E. Hüllermeier, At-Atomatisierungstechnik 60 (2012) 622–629.
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2012 | Conference Paper | LibreCat-ID: 13120
Label ranking with partial abstention based on thresholded probalistic models
W. Cheng, E. Hüllermeier, W. Waegeman, V. Welker, in: In Proceedings NIPS-2012, 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA, 2012.
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2012 | Conference Paper | LibreCat-ID: 13191
Probability estimation for mulit-class classification based on label ranking
W. Cheng, E. Hüllermeier, in: Proceedings ECML/PKDD-2012, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK, 2012.
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2012 | Conference Paper | LibreCat-ID: 13192
Consistent multilabel ranking through univariate loss minimization
K. Dembczynski, W. Kotlowski, E. Hüllermeier, in: J. Langford, J. Pineau (Eds.), In Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland, 2012.
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2012 | Conference Paper | LibreCat-ID: 13193
An analysis of chaining in multi-label classification
K. Dembczynski, W. Waegeman, E. Hüllermeier, in: In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France , IOS Press, 2012, pp. 294–299.
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2012 | Book Chapter | LibreCat-ID: 10153
Fuzzy rules in data mining: From fuzzy associations to gradual dependencies
E. Hüllermeier, in: E. Trillas, P.P. Bonissone, L. Magdalena, J. Kacprzyk (Eds.), Combining Experimentation and Theory, Springer, 2012, pp. 123–135.
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2011 | Conference Paper | LibreCat-ID: 15762
Joint mode estimation in multi-label classification by chaining
K. Dembczynski, W. Waegeman, E. Hüllermeier, in: In Proceedings ECML Workshop on Collective Inference and Learning on Structured Data, Athens, Greece, 2011.
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2011 | Conference Paper | LibreCat-ID: 15764
Prediction of protein localization for specialized compartments using time series kernels
M. Mernberger, D. Moog, S. Stork, S. Zauner, U. Maier, E. Hüllermeier, in: In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany, 2011.
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2011 | Conference Paper | LibreCat-ID: 15115
Comparing methods for knowledge-driven and data-driven fuzzy modeling: A case study in textile industry
M. Nasiri, E. Hüllermeier, R. Senge, E. Lughofer, in: In Proceedings IFSA-2011 World Congress of the International Fuzzy Systems Association, Surabaya and Bali Island, Indonesia, 2011, p. RW-103-1-6.
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2011 | Conference Paper | LibreCat-ID: 15116
On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure
E. Lughofer, E. Hüllermeier, in: S. Galichet, J. Montero, G. Mauris (Eds.), In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, 2011, pp. 380–387.
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2011 | Conference Paper | LibreCat-ID: 15117
Choquistic regression: Generalizing logistic regression using the Choquet integral
A. Fallah Tehrani, W. Cheng, E. Hüllermeier, in: In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, 2011, pp. 868–875.
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2011 | Journal Article | LibreCat-ID: 16119
Multivariate modeling to identify patterns in clinical data: The example of chest pain
O. Hirsch, S. Bösner, E. Hüllermeier, R. Senge, K. Dembczynski, N. Donner-Banzhoff, BMC Medical Research Methodology 11 (2011).
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2011 | Journal Article | LibreCat-ID: 16126
Preferences in AL: An overview
C. Domshlak, E. Hüllermeier, S. Kaci, H. Prade, Artificial Intelligence 175 (2011) 1037–1052.
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2011 | Journal Article | LibreCat-ID: 16147
Fuzzy machine learning and data mining
E. Hüllermeier, WIREs Data Mining and Knowledge Discovery 1 (2011) 269–283.
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2011 | Journal Article | LibreCat-ID: 16148
SEGA: Semi-global graph alignment for structure-based protein comparison
M. Mernberger, G. Klebe, E. Hüllermeier, IEEE/ACM Transactions of Computational Biology and Bioinformatics 8 (2011) 1330–1343.
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2011 | Journal Article | LibreCat-ID: 16149
Superposition and alignment of labeled point clouds
T. Fober, S. Glinca, G. Klebe, E. Hüllermeier, IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (2011) 1653–1666.
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2011 | Journal Article | LibreCat-ID: 16150
Fuzzy sets in machine learning and data mining
E. Hüllermeier, Applied Soft Computing Journal (2011) 1493–1505.
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2011 | Journal Article | LibreCat-ID: 16153
Top-down induction of fuzzy pattern trees
R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 19 (2011) 241–252.
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2011 | Conference Paper | LibreCat-ID: 13194
An exact algorithm for F-measure maximization
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, in: In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain, 2011.
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2011 | Conference Paper | LibreCat-ID: 13196
Learning from label preferences
J. Fürnkranz, E. Hüllermeier, in: T. Elomaa, J. Hollmen, H. Mannila (Eds.), In Proceedings DS-2011, 14th International  Conference on Discovery Science, Number 6926 in LNAI, Springer, 2011, pp. 2–17.
LibreCat
 

2011 | Conference Paper | LibreCat-ID: 13197
Learning monotone nonlinear models using the Choquet integral
A. Fallah Tehrani, W. Cheng, K. Dembczynski, E. Hüllermeier, in: In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, 2011.
LibreCat
 

2011 | Conference Paper | LibreCat-ID: 13198
Preference-based CBR: First steps toward a methodological framework
E. Hüllermeier, P. Schlegel, in: A. Ram, N. Wiratunga (Eds.), In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, Number 6880 in LNAI, Springer, 2011, pp. 77–91.
LibreCat
 

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

2010 | Book Chapter | LibreCat-ID: 15297
An Analysis of the FURIA algorithm for fuzzy rule induction
E. Hüllermeier, J. Hühn, in: J. Koronacki, Z.W. Ras, S.T. Wierzchon, J. Kacprzyk (Eds.), Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski, Springer, 2010, pp. 321–344.
LibreCat
 

2010 | Book Chapter | LibreCat-ID: 15298
Preference Learning: An Introduction
J. Fürnkranz, E. Hüllermeier, in: J. Fürnkranz, E. Hüllermeier (Eds.), Preference Learning, Springer, 2010, pp. 1–18.
LibreCat
 

2010 | Conference Paper | LibreCat-ID: 15765
Efficient similarity retrieval for protein binding sites based on histogram comparison
T. Fober, M. Mernberger, G. Klebe, E. Hüllermeier, in: In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany, 2010, pp. 51–60.
LibreCat
 

2010 | Conference Paper | LibreCat-ID: 15772
On label dependence in multi-label classification
K. Dembczynski, W. Waegeman, W. Cheng, E. Hüllermeier, in: In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel, 2010.
LibreCat
 

2010 | Conference Paper | LibreCat-ID: 15118
Similarity measures for protein structures based on fuzzy histogram comparison
T. Fober, E. Hüllermeier, in: In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
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