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437 Publications


2013 | Conference Paper | LibreCat-ID: 15755
Busa-Fekete, R., Fober, T., & Hüllermeier, E. (2013). Preference-based evolutionary optimization using generalized racing algorithms. In F. Hoffmann & E. Hüllermeier (Eds.), in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany (pp. 237–246). KIT Scientific Publishing.
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2013 | Journal Article | LibreCat-ID: 16044
Heider, D., Senge, R., Cheng, W., & Hüllermeier, E. (2013). Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction. Bioinformatics, 29(16), 1946–1952.
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2013 | Conference Paper | LibreCat-ID: 485
Mohr, F., & Kleine Büning, H. (2013). Semi-Automated Software Composition Through Generated Components. In Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS) (pp. 676–680). https://doi.org/10.1145/2539150.2539235
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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.
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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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2012 | Conference Paper | LibreCat-ID: 13192
Dembczynski, K., Kotlowski, W., & Hüllermeier, E. (2012). Consistent multilabel ranking through univariate loss minimization. In J. Langford & J. Pineau (Eds.), in Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland.
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2012 | Conference Paper | LibreCat-ID: 15299
Leinweber, M., Baumgärtner, L., Mernberger, M., Fober, T., Hüllermeier, E., Klebe, G., & Freisleben, B. (2012). 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.
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2012 | Journal Article | LibreCat-ID: 16088
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2012). On label dependence and loss  minimization in multi-label classification. Machine Learning, 88(1–2), 5–45.
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2012 | Journal Article | LibreCat-ID: 16090
Dolorez Ruiz, M., & Hüllermeier, E. (2012). A formal and empirical analysis of the fuzzy gamma rank correlation coefficient. Information Sciences, 206, 1–17.
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2012 | Conference Paper | LibreCat-ID: 13193
Dembczynski, K., Waegeman, W., & Hüllermeier, E. (2012). An analysis of chaining in multi-label classification. In In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France (pp. 294–299). IOS Press.
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2012 | Book Chapter | LibreCat-ID: 15396
Hüllermeier, E., & Fallah Tehrani, A. (2012). Efficient learning of classifiers based on the 2-additive Choquet integral. In C. Moewes & A. Nürnberger (Eds.), Computational Intelligence in Intelligent Data Analysis (pp. 17–30). Springer.
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2012 | Journal Article | LibreCat-ID: 16084
Fallah Tehrani, A., Cheng, W., Dembczynski, K., & Hüllermeier, E. (2012). Learning  monotone nonlinear models using the Choquet integral. Machine Learning, 89(1), 183–211.
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2012 | Journal Article | LibreCat-ID: 16089
Shaker, A., & Hüllermeier, E. (2012). IBL Streams: A system for instance-based classification and regression on data streams. Evolving Systems, 3(4), 235–249.
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2012 | Journal Article | LibreCat-ID: 16091
Fallah Tehrani, A., Cheng, W., & Hüllermeier, E. (2012). Preference learning using the Choquet integral: The case of multipartite ranking. IEEE Transactions on Fuzzy Systems, 20(6), 1102–1113.
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2012 | Conference Paper | LibreCat-ID: 13120
Cheng, W., Hüllermeier, E., Waegeman, W., & Welker, V. (2012). 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.
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2012 | Conference Paper | LibreCat-ID: 15114
Hüllermeier, E., & Fallah Tehrani, A. (2012). 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.
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2012 | Journal Article | LibreCat-ID: 16085
Bustince, H., Pagola, M., Mesiar, R., Hüllermeier, E., & Herrera, F. (2012). Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons. IEEE Transactions on Fuzzy Systems, 20(3), 405–415.
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2012 | Journal Article | LibreCat-ID: 16092
Fober, T., Mernberger, M., Klebe, G., & Hüllermeier, E. (2012). Fingerprint kernels for protein structure comparison. Molecular Informatics, 31(6–7), 443–452.
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2011 | Conference Paper | LibreCat-ID: 15115
Nasiri, M., Hüllermeier, E., Senge, R., & Lughofer, E. (2011). 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 (p. RW-103-1-6).
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2011 | Journal Article | LibreCat-ID: 16149
Fober, T., Glinca, S., Klebe, G., & Hüllermeier, E. (2011). Superposition and alignment of labeled point clouds. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8(6), 1653–1666.
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2011 | Conference Paper | LibreCat-ID: 13196
Fürnkranz, J., & Hüllermeier, E. (2011). Learning from label preferences. In T. Elomaa, J. Hollmen, & H. Mannila (Eds.), in Proceedings DS-2011, 14th International  Conference on Discovery Science, number 6926 in LNAI (pp. 2–17). Springer.
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2011 | Conference Paper | LibreCat-ID: 13588
Kotlowski, W., Dembczynski, K., & Hüllermeier, E. (2011). Bipartite ranking through minimization of univariate loss. In in Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA.
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2011 | Conference Paper | LibreCat-ID: 15116
Lughofer, E., & Hüllermeier, E. (2011). On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure. 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 (pp. 380–387).
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2011 | Journal Article | LibreCat-ID: 16119
Hirsch, O., Bösner, S., Hüllermeier, E., Senge, R., Dembczynski, K., & Donner-Banzhoff, N. (2011). Multivariate modeling to identify patterns in clinical data: The example of chest pain. BMC Medical Research Methodology, 11(155).
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2011 | Journal Article | LibreCat-ID: 16126
Domshlak, C., Hüllermeier, E., Kaci, S., & Prade, H. (2011). Preferences in AL: An overview. Artificial Intelligence, 175(7–8), 1037–1052.
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2011 | Conference Paper | LibreCat-ID: 15762
Dembczynski, K., Waegeman, W., & Hüllermeier, E. (2011). Joint mode estimation in multi-label classification by chaining. In In Proceedings ECML Workshop on Collective inference and Learning on Structured Data, Athens, Greece.
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2011 | Conference Paper | LibreCat-ID: 13197
Fallah Tehrani, A., Cheng, W., Dembczynski, K., & Hüllermeier, E. (2011). 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,.
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2011 | Conference Paper | LibreCat-ID: 15117
Fallah Tehrani, A., Cheng, W., & Hüllermeier, E. (2011). 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 (pp. 868–875).
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2011 | Journal Article | LibreCat-ID: 16153
Senge, R., & Hüllermeier, E. (2011). Top-down induction of fuzzy pattern trees. IEEE Transactions on Fuzzy Systems, 19(2), 241–252.
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2011 | Conference Paper | LibreCat-ID: 13198
Hüllermeier, E., & Schlegel, P. (2011). Preference-based CBR: First steps toward a methodological framework. In A. Ram & N. Wiratunga (Eds.), In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, number 6880 in LNAI (pp. 77–91). Springer.
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2011 | Conference Paper | LibreCat-ID: 15764
Mernberger, M., Moog, D., Stork, S., Zauner, S., Maier, U., & Hüllermeier, E. (2011). Prediction of protein localization for specialized compartments using time series kernels. In In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany.
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2011 | Journal Article | LibreCat-ID: 16147
Hüllermeier, E. (2011). Fuzzy machine learning and data mining. WIREs Data Mining and Knowledge Discovery, 1(4), 269–283.
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