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402 Publications


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: 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: 10308
Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1519–1534.
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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.
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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: 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: 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: 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: 10309
Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1609–1613.
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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: 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 | 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 | 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: 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 | 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.
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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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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 | 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 | 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: 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: 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: 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 | 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 | 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.
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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: 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: 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: 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: 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 | 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: 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 | 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: 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: 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: 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: 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: 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.
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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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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 | 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: 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 | 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: 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: 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: 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 | 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: 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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