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434 Publications


2013 | Conference Paper | LibreCat-ID: 13116
Dembczynski, K., Jachnik, A., Kotlowski, W., Waegeman, W., & Hüllermeier, E. (2013). Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization. In S. Dasgupta & D. McAllester (Eds.), in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA (pp. 1130–1138).
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2013 | Conference Paper | LibreCat-ID: 15756
Henzgen, S., & Hüllermeier, E. (2013). Weighted rank correlation measures based on fuzzy order relations. In F. Hoffmann & E. Hüllermeier (Eds.), in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany (pp. 227–236). KIT Scientific Publishing.
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2013 | Conference Paper | LibreCat-ID: 15763
Fober, T., Klebe, G., & Hüllermeier, E. (2013). Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life. In B. Lausen, D. Van den Poel, & A. Ultsch (Eds.), In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany (pp. 279–286). Springer.
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2013 | Conference Paper | LibreCat-ID: 15112
Fallah Tehrani, A., & Hüllermeier, E. (2013). Ordinal Choquistic regression . 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.
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2013 | Conference Paper | LibreCat-ID: 13117
Busa-Fekete, R., Szoreny, B., Weng, P., Cheng, W., & Hüllermeier, E. (2013). Top-k selection based on adaptive sampling of noisy preferences. In S. Dasgupta & D. McAllester (Eds.), in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA (pp. 1094–1102).
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2013 | Conference Paper | LibreCat-ID: 15113
Nasiri, N., Fober, T., Senge, R., & Hüllermeier, E. (2013). 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 (pp. 715–721).
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2013 | Conference Paper | LibreCat-ID: 15752
Cheng, W., Henzgen, S., & Hüllermeier, E. (2013). Labelwise versus pairwise decomposition in label ranking. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany (pp. 129–136).
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2013 | Conference Paper | LibreCat-ID: 15757
Weng, P., Busa-Fekete, R., & Hüllermeier, E. (2013). 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.
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2013 | Journal Article | LibreCat-ID: 16123
Shaker, A., Senge, R., & Hüllermeier, E. (2013). Evolving fuzzy pattern trees for binary classification on data streams. Information Sciences, 220, 34–45.
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2013 | Conference Paper | LibreCat-ID: 13118
Hüllermeier, E., & Cheng, W. (2013). Preference-based CBR: General ideas and basic principles. In F. Rossi (Ed.), in Proceedings IJCAI-13, 23rd international Joint Conference on Artificial Intelligence, Beijing, China (pp. 3012–3016). AAAI Press.
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2013 | Conference Paper | LibreCat-ID: 15753
Senge, R., del Coz, J., & Hüllermeier, E. (2013). Rectifying classifier chains for multi-label classification, Bamberg, Germany. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany (pp. 151–158).
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2013 | Conference Paper | LibreCat-ID: 15758
Busa-Fekete, R., Szörenyi, B., Weng, P., & Hüllermeier, E. (2013). Preference-based evolutionary direct policy search. In In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague.
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2013 | Conference Paper | LibreCat-ID: 15760
Shaker, A., & Hüllermeier, E. (2013). Event history analysis on data streams: An application to earthquake occurence. 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 (pp. 38–41).
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2013 | Conference Paper | LibreCat-ID: 495
Mohr, F., Lettmann, T., & Kleine Büning, H. (2013). Reducing Nondeterminism in Automated Service Composition. In Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA) (pp. 154–161). https://doi.org/10.1109/SOCA.2013.25
LibreCat | Files available | DOI
 

2012 | Book Chapter | LibreCat-ID: 10153
Hüllermeier, E. (2012). Fuzzy rules in data mining: From fuzzy associations to gradual dependencies. In E. Trillas, P. P. Bonissone, L. Magdalena, & J. Kacprzyk (Eds.), Combining Experimentation and Theory (Vol. 271, pp. 123–135). Springer.
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2012 | Journal Article | LibreCat-ID: 16093
Hüllermeier, E., Rifqi, M., Henzgen, S., & Senge, R. (2012). Comparing fuzzy partitions: A generalization of the Rand index and related measures. IEEE Transactions on Fuzzy Systems, 20(3), 546–556.
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2012 | Conference Paper | LibreCat-ID: 15754
Bräuning, M., & Hüllermeier, E. (2012). Learning conditional lexicographic preference trees. In In Workshops on Preference Learning at ECAI, European Conference on Artiticial intelligence, Montpellier, France.
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2012 | Conference Paper | LibreCat-ID: 13191
Cheng, W., & Hüllermeier, E. (2012). 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.
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2012 | Journal Article | LibreCat-ID: 16087
Fürnkranz, J., Hüllermeier, E., Cheng, W., & Park, S. H. (2012). Preference-based reinforcement learning: A formal framework and a policy iteration algorithm. Machine Learning, 89(1), 123–156.
LibreCat
 

2012 | Journal Article | LibreCat-ID: 16094
Senge, R., Fober, T., Nasiri, N., & Hüllermeier, E. (2012). Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung. At-Atomatisierungstechnik, 60(10), 622–629.
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