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427 Publications


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
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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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2011 | Conference Paper | LibreCat-ID: 13194
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2011). An exact algorithm for F-measure maximization. In In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain.
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2011 | Journal Article | LibreCat-ID: 16148
Mernberger, M., Klebe, G., & Hüllermeier, E. (2011). SEGA: Semi-global graph alignment for structure-based protein comparison. IEEE/ACM Transactions of Computational Biology and Bioinformatics, 8(5), 1330–1343.
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2011 | Journal Article | LibreCat-ID: 16150
Hüllermeier, E. (2011). Fuzzy sets in machine learning and data mining. Applied Soft Computing Journal, 1493–1505.
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2010 | Conference Paper | LibreCat-ID: 13594
Cheng, W., Rademaker, M., De Beats, B., & Hüllermeier, E. (2010). 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.
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2010 | Book Chapter | LibreCat-ID: 15297
Hüllermeier, E., & Hühn, J. (2010). An Analysis of the FURIA algorithm for fuzzy rule induction. 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 (Vol. 262, pp. 321–344). Springer.
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2010 | Journal Article | LibreCat-ID: 16151
Hüllermeier, E., & Vanderlooy, S. (2010). Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting. Pattern Recognition, 43(1), 128–142.
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2010 | Conference Paper | LibreCat-ID: 13590
Cheng, W., Dembczynski, K., & Hüllermeier, E. (2010). Label ranking based on the Plackett-Luce model. In J. Fürnkranz & T. Joachims (Eds.), in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel (pp. 215–222).
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2010 | Book Chapter | LibreCat-ID: 15298
Fürnkranz, J., & Hüllermeier, E. (2010). Preference Learning: An Introduction. In J. Fürnkranz & E. Hüllermeier (Eds.), Preference Learning (pp. 1–18). Springer.
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2010 | Journal Article | LibreCat-ID: 16121
Pfeffer, P., Fober, T., Hüllermeier, E., & Klebe, G. (2010). GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm. Journal of Chemical Information and Modeling, 50(9), 1644–1659.
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2010 | Journal Article | LibreCat-ID: 16152
Hüllermeier, E., & Fürnkranz, J. (2010). On predictive accuracy and risk minimization in pairwise label ranking. Journal of Computer and System Sciences, 76(1), 49–62.
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2010 | Conference Paper | LibreCat-ID: 13589
Dembczynski, K., Cheng, W., & Hüllermeier, E. (2010). Bayes optimal multilabel classification via probalistic classifier chains. In J. Fürnkranz & T. Joachims (Eds.), in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel (pp. 279–286).
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2010 | Conference Paper | LibreCat-ID: 13591
Cheng, W., Dembczynski, K., & Hüllermeier, E. (2010). Graded multi-label classification: The ordinal case. In J. Fürnkranz & T. Joachims (Eds.), in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel.
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2010 | Conference Paper | LibreCat-ID: 13597
Hüllermeier, E. (2010). Uncertainty in clustering and classification . In in Proceedings SUM 2010, International Conference on Scalable Uncertainty Management (Vol. 6379, pp. 16–19). Springer.
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2010 | Conference Paper | LibreCat-ID: 15118
Fober, T., & Hüllermeier, E. (2010). Similarity measures for protein structures based on fuzzy histogram comparison. In in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain.
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2010 | Conference Paper | LibreCat-ID: 13593
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2010). 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.
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2010 | Conference Paper | LibreCat-ID: 15119
Senge, R., & Hüllermeier, E. (2010). Pattern trees for regression and fuzzy systems modeling. In in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain.
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2010 | Conference Paper | LibreCat-ID: 15765
Fober, T., Mernberger, M., Klebe, G., & Hüllermeier, E. (2010). Efficient similarity retrieval for protein binding sites based on histogram comparison. In In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany (pp. 51–60).
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2010 | Conference Paper | LibreCat-ID: 15772
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2010). On label dependence in multi-label classification. In In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel.
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2009 | Conference Paper | LibreCat-ID: 15196
Hüllermeier, E., & Rifqi, M. (2009). 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 (pp. 1294–1298).
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2009 | Journal Article | LibreCat-ID: 16163
Hühn, J., & Hüllermeier, E. (2009). FR3: A fuzzy rule learner for inducing reliable classifiers. IEEE Transactions on Fuzzy Systems, 17(1), 138–149.
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2009 | Conference Paper | LibreCat-ID: 15773
Cheng, W., & Hüllermeier, E. (2009). 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 (pp. 28–38).
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2009 | Conference Paper | LibreCat-ID: 15778
Fober, T., Mernberger, M., Melnikov, V., Moritz, R., & Hüllermeier, E. (2009). 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 (pp. 30–36).
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2009 | Conference Paper | LibreCat-ID: 13595
Cheng, W., Hühn, J., & Hüllermeier, E. (2009). Decision tree and instance-based learning for label ranking. In in Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada (pp. 161–168).
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2009 | Conference Paper | LibreCat-ID: 15774
Senge, R., & Hüllermeier, E. (2009). Learning pattern tree classifiers using a co-evolutionary algorithm. In F. Hoffmann & E. Hüllermeier (Eds.), in Proceedings 19th Workshop Computational Intelligence, Dortmund Germany (pp. 22–33). KIT Scientific Publishing.
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2009 | Conference Paper | LibreCat-ID: 13596
Fürnkranz, J., Hüllermeier, E., & Vanderlooy, S. (2009). 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.
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2009 | Conference Paper | LibreCat-ID: 15775
Fober, T., Mernberger, M., Moritz, R., & Hüllermeier, E. (2009). Graph-kernels for the comparative analysis of protein active sites. In I. Grosse, S. Neumann, S. Posch, F. Schreiber, & P. . Stadler (Eds.), In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany (pp. 21–31).
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2009 | Journal Article | LibreCat-ID: 16158
Hühn, J., & Hüllermeier, E. (2009). FURIA: An Algorithm for unordered fuzzy rule induction. Data Mining and Knowledge Discovery , 19, 293–319.
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2009 | Journal Article | LibreCat-ID: 16165
Hüllermeier, E., Vladimirskiy, I., Prados Suarez, B., & Stauch, E. (2009). Supporting case-based retrieval by similarity skylines: Basic concepts and extensions. Künstliche Intelligenz, 1(09), 24–29.
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2009 | Conference Paper | LibreCat-ID: 15194
Boukhris, I., Elouedi, Z., Fober, T., Mernberger, M., & Hüllermeier, E. (2009). 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 (pp. 1245–1250).
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2009 | Conference Paper | LibreCat-ID: 15120
Fober, T., Klebe, G., & Hüllermeier, E. (2009). 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 (pp. 1251–1256).
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2009 | Conference Paper | LibreCat-ID: 15776
Senge, R., & Hüllermeier, E. (2009). Learning pattern tree classifiers using a co-evolutionary algorithm. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany (pp. 105–110).
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2009 | Journal Article | LibreCat-ID: 16154
Weskamp, N., Hüllermeier, E., & Klebe, G. (2009). Merging chemical and biological space: Structural mapping of enzyme binding pocket space. Proteins, 76(2), 317–330.
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2009 | Journal Article | LibreCat-ID: 16159
Hüllermeier, E., & Vanderlooy, S. (2009). Why fuzzy decision trees are good rankers. IEEE Transactions on Fuzzy Systems, 17(6), 1233–1244.
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2009 | Journal Article | LibreCat-ID: 16161
Yi, Y., Fober, T., & Hüllermeier, E. (2009). Fuzzy operator trees for modeling rating functions. International Journal of Computational Intelligence and Applications, 8(4), 413–428.
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2009 | Book Chapter | LibreCat-ID: 10188
Hüllermeier, E. (2009). On the usefulness of fuzzy sets in data mining. In R. Seising (Ed.), Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications (pp. 457–470). Springer.
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2009 | Conference Paper | LibreCat-ID: 13598
Cheng, W., & Hüllermeier, E. (2009). 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 (pp. 707–716). Springer.
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2009 | Conference Paper | LibreCat-ID: 15195
Fober, T., & Hüllermeier, E. (2009). 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 (pp. 1299–1304).
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2009 | Journal Article | LibreCat-ID: 16162
Fober, T., Mernberger, M., Klebe, G., & Hüllermeier, E. (2009). Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. Bioinformatics, 25(16), 2110–2117.
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2008 | Conference Paper | LibreCat-ID: 13599
Hüllermeier, E., Vladimirskiy, I., Prados Suarez, B., & Stauch, E. (2008). Supporting case-based retrieval by similarity skylines: Basic concepts and extensions. In K. D. Althoff, R. Bergmann, M. Minor, & A. Hanft (Eds.), in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany (pp. 240–254).
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2008 | Journal Article | LibreCat-ID: 16168
Fürnkranz, J., Hüllermeier, E., Mencia, E., & Brinker, K. (2008). Multilabel classification via calibrated label ranking. Machine Learning, 73(2), 133–153.
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2008 | Conference Paper | LibreCat-ID: 15780
Fober, T., Hüllermeier, E., & Mernberger, M. (2008). Evolutionary construction of multiple graph alignments for mining structured biomolecular data . In In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany (pp. 27–33).
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2008 | Book Chapter | LibreCat-ID: 10154
Hüllermeier, E. (2008). Fuzzy methods in data mining. In Encyclopedia of Data Warehousing and Mining - Second Edition (pp. 907–912). Idea Group, Inc.,Hershey, USA.
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2008 | Book Chapter | LibreCat-ID: 10185
Hüllermeier, E., & Fürnkranz, J. (2008). Learning preference models from data: On the problem of label ranking and its variants. In G. Della Riccia, D. Dubois, R. Kruse, & H. J. Lenz (Eds.), Preferences and Similarities (pp. 283–304). Springer.
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2008 | Conference Paper | LibreCat-ID: 15779
Hüllermeier, E., & Vanderlooy, S. (2008). Weighted voting as approximate MAP prediction in pairwise classification. In In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany (pp. 34–41).
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2008 | Conference Paper | LibreCat-ID: 15781
Fober, T., Hüllermeier, E., & Mernberger, M. (2008). Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In A. Beyer & M. Schroeder (Eds.), iIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008 (pp. 44–53).
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2008 | Journal Article | LibreCat-ID: 16164
Hühn, J., & Hüllermeier, E. (2008). Is an ordinal class structure useful in classifier learning? International Journal of Data Mining, Modeling and Management , 1(1), 45–67.
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2008 | Journal Article | LibreCat-ID: 16169
Hüllermeier, E., & Brinker, K. (2008). Learning valued preference structures for solving classification problems. Fuzzy Sets and Systems, 159(18), 2337–2352.
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2008 | Journal Article | LibreCat-ID: 16184
Beringer, J., & Hüllermeier, E. (2008). Case-based learning in a bipolar possibilistic framework. International Journal of Intelligent Systems, 23(10), 1119–1134.
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2008 | Conference Paper | LibreCat-ID: 13600
Cheng, W., & Hüllermeier, E. (2008). Learning similarity functions from qualitative feedback. In K. D. Althoff, R. Bergmann, M. Minor, & A. Hanft (Eds.), in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany (pp. 120–134). Springer.
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2008 | Journal Article | LibreCat-ID: 16166
Hüllermeier, E., Fürnkranz, J., Cheng, W., & Brinker, K. (2008). Label ranking by learning pairwise preferences. Artificial Intelligence, 172, 1897–1917.
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2008 | Journal Article | LibreCat-ID: 16167
Vanderlooy, S., & Hüllermeier, E. (2008). A critical analysis of variants of the AUC. Machine Learning, 72, 247–272.
LibreCat
 

2008 | Book Chapter | LibreCat-ID: 16225
Hüllermeier, E. (2008). Granular computing in machine learning and data mining. In W. Pedrycz, A. Skowron, & V. Kreinovich (Eds.), Handbook on Granular Computing (pp. 889–906). John Wiley and Sons.
LibreCat
 

2007 | Conference Paper | LibreCat-ID: 14833
Brinker, K., & Hüllermeier, E. (2007). Label ranking in case-based reasoning. In M. Richter & R. Weber (Eds.), In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland (Vol. 4626, pp. 77–91). Springer.
LibreCat
 

2007 | Journal Article | LibreCat-ID: 16170
Hüllermeier, E., & Yi, Y. (2007). In defense of fuzzy association analysis. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, 37(4), 1039–1043.
LibreCat
 

2007 | Journal Article | LibreCat-ID: 16175
Dubois, D., & Hüllermeier, E. (2007). Comparing probability measures using possibility theory: A notion of relative peakedness. International Journal of Approximate Reasoning, 45(2), 364–385.
LibreCat
 

2007 | Journal Article | LibreCat-ID: 16194
Karimi, I., & Hüllermeier, E. (2007). Risk assessment for natural hazards: A new approach based on fuzzy probability. Fuzzy Sets and Systems, 158(9), 987–999.
LibreCat
 

2007 | Book Chapter | LibreCat-ID: 16226
Beringer, J., & Hüllermeier, E. (2007). Fuzzy clustering of parallel data streams. In J. Valente de Oliveira & W. Pedrycz (Eds.), Advances in Fuzzy Clustering and its Applications (pp. 333–352). John Wiley and Sons.
LibreCat
 

2007 | Conference Paper | LibreCat-ID: 15197
Hüllermeier, E., & Brinker, K. (2007). 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, pp. 353–360).
LibreCat
 

2007 | Conference Paper | LibreCat-ID: 14834
Beringer, J., & Hüllermeier, E. (2007). Efficient instance-based learning on data streams. In P. Perner (Ed.), In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig (pp. 34–48). Springer.
LibreCat
 

2007 | Journal Article | LibreCat-ID: 16171
Hüllermeier, E. (2007). Credible case-based inference using similarity profiles. IEEE Transactions on Knowledge and Data Engineering, 19(5), 847–858.
LibreCat
 

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