Fober, T., Mernberger, M., Klebe, G., &; Hüllermeier, E. (2012). Fingerprint kernels for protein structure comparison. Molecular Informatics, 31(6–7), 443–452.
LibreCat: /record/16092

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.
LibreCat: /record/16093

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

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.
LibreCat: /record/13120

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.
LibreCat: /record/13191

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.
LibreCat: /record/13192

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.
LibreCat: /record/13193

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.
LibreCat: /record/10153

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.
LibreCat: /record/15762

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.
LibreCat: /record/15764

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).
LibreCat: /record/15115

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).
LibreCat: /record/15116

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).
LibreCat: /record/15117

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).
LibreCat: /record/16119

Domshlak, C., Hüllermeier, E., Kaci, S., &; Prade, H. (2011). Preferences in AL: An overview. Artificial Intelligence, 175(7–8), 1037–1052.
LibreCat: /record/16126

Hüllermeier, E. (2011). Fuzzy machine learning and data mining. WIREs Data Mining and Knowledge Discovery, 1(4), 269–283.
LibreCat: /record/16147

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.
LibreCat: /record/16148

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.
LibreCat: /record/16149

Hüllermeier, E. (2011). Fuzzy sets in machine learning and data mining. Applied Soft Computing Journal, 1493–1505.
LibreCat: /record/16150

Senge, R., &; Hüllermeier, E. (2011). Top-down induction of fuzzy pattern trees. IEEE Transactions on Fuzzy Systems, 19(2), 241–252.
LibreCat: /record/16153

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.
LibreCat: /record/13194

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.
LibreCat: /record/13196

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,.
LibreCat: /record/13197

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.
LibreCat: /record/13198

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.
LibreCat: /record/13588

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.
LibreCat: /record/15297

Fürnkranz, J., &; Hüllermeier, E. (2010). Preference Learning: An Introduction. In J. Fürnkranz &; E. Hüllermeier (Eds.), Preference Learning (pp. 1–18). Springer.
LibreCat: /record/15298

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).
LibreCat: /record/15765

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.
LibreCat: /record/15772

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.
LibreCat: /record/15118

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.
LibreCat: /record/15119

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.
LibreCat: /record/16121

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.
LibreCat: /record/16151

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.
LibreCat: /record/16152

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).
LibreCat: /record/13589

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).
LibreCat: /record/13590

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.
LibreCat: /record/13591

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.
LibreCat: /record/13593

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.
LibreCat: /record/13594

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.
LibreCat: /record/13597

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).
LibreCat: /record/15773

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.
LibreCat: /record/15774

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).
LibreCat: /record/15775

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).
LibreCat: /record/15776

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).
LibreCat: /record/15778

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).
LibreCat: /record/15120

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).
LibreCat: /record/15194

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).
LibreCat: /record/15195

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).
LibreCat: /record/15196

Weskamp, N., Hüllermeier, E., &; Klebe, G. (2009). Merging chemical and biological space: Structural mapping of enzyme binding pocket space. Proteins, 76(2), 317–330.
LibreCat: /record/16154

Hühn, J., &; Hüllermeier, E. (2009). FURIA: An Algorithm for unordered fuzzy rule induction. Data Mining and Knowledge Discovery , 19, 293–319.
LibreCat: /record/16158

Hüllermeier, E., &; Vanderlooy, S. (2009). Why fuzzy decision trees are good rankers. IEEE Transactions on Fuzzy Systems, 17(6), 1233–1244.
LibreCat: /record/16159

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.
LibreCat: /record/16161

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.
LibreCat: /record/16162

Hühn, J., &; Hüllermeier, E. (2009). F: A fuzzy rule learner for inducing reliable classifiers. IEEE Transactions on Fuzzy Systems, 17(1), 138–149.
LibreCat: /record/16163

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.
LibreCat: /record/16165

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.
LibreCat: /record/10188

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).
LibreCat: /record/13595

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.
LibreCat: /record/13596

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.
LibreCat: /record/13598

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).
LibreCat: /record/15779

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).
LibreCat: /record/15780

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).
LibreCat: /record/15781

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.
LibreCat: /record/16164

Hüllermeier, E., Fürnkranz, J., Cheng, W., &; Brinker, K. (2008). Label ranking by learning pairwise preferences. Artificial Intelligence, 172, 1897–1917.
LibreCat: /record/16166

Vanderlooy, S., &; Hüllermeier, E. (2008). A critical analysis of variants of the AUC. Machine Learning, 72, 247–272.
LibreCat: /record/16167

Fürnkranz, J., Hüllermeier, E., Mencia, E., &; Brinker, K. (2008). Multilabel classification via calibrated label ranking. Machine Learning, 73(2), 133–153.
LibreCat: /record/16168

Hüllermeier, E., &; Brinker, K. (2008). Learning valued preference structures for solving classification problems. Fuzzy Sets and Systems, 159(18), 2337–2352.
LibreCat: /record/16169

Beringer, J., &; Hüllermeier, E. (2008). Case-based learning in a bipolar possibilistic framework. International Journal of Intelligent Systems, 23(10), 1119–1134.
LibreCat: /record/16184

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: /record/16225

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.
LibreCat: /record/10154

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.
LibreCat: /record/10185

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).
LibreCat: /record/13599

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.
LibreCat: /record/13600

Cheng, W., Hüllermeier, E., Seeger, B., &; Vladimirskiy, I. (2007). Interactive ranking of skylines using machine learning techniques. In In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany (pp. 141–148).
LibreCat: /record/15782

Fober, T., Hüllermeier, E., &; Mernberger, M. (2007). Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In R. Mikut &; M. Reischl (Eds.), in Proceedings 17th Workshop Computational Intelligence, Dortmund Germany (pp. 1–14).
LibreCat: /record/15783

Vladimirskiy, I., Hüllermeier, E., &; Stauch, E. (2007). Similarity search over uncertain archaeological data using a modified skyline operator. In D. C. Wilson &; D. Khemani (Eds.), In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland (pp. 31–40).
LibreCat: /record/15784

Hüllermeier, E., &; Fürnkranz, J. (2007). On minimizing the position error in label ranking. In In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007. Springer.
LibreCat: /record/14832

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: /record/14833

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: /record/14834

Brinker, K., &; Hüllermeier, E. (2007). Case-based multilabel ranking. In in Proceedings IJCAI-07, 20th international Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007 (pp. 701–707).
LibreCat: /record/14835

Hüllermeier, E., &; Brinker, K. (2007). Fuzzy-relational classificatonf: 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: /record/15197

Beringer, J., &; Hüllermeier, E. (2007). Adaptive optimization of the number of clusters in fuzzy clustering, London 2007. In in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems.
LibreCat: /record/15198

Hüllermeier, E., Weskamp, N., Klebe, G., &; Kuhn, D. (2007). Graph alignment: Fuzzy pattern mining for the structural analysis of protein active sites. In in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London.
LibreCat: /record/15199

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: /record/16170

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

Beringer, J., &; Hüllermeier, E. (2007). Efficient instance-based learning on data streams. Intelligent Data Analysis, 11(6), 627–650.
LibreCat: /record/16172

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: /record/16175

Weskamp, N., Hüllermeier, E., Kuhn, D., &; Klebe, G. (2007). Multiple graph aligment for the structural analysis of protein active sites. IEEE/ACM Transactions of Computational Biology and Bioinformatics, 4(2), 310–320.
LibreCat: /record/16179

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: /record/16194

Hüllermeier, E. (2007). Why fuzzy set theory is useful in data mining. In F. Masseglia, P. Poncelet, &; M. Teisseire (Eds.), Successes and New Directions in Data Mining (pp. 1–16). Information Science Reference, Hershey, New York.
LibreCat: /record/16224

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: /record/16226

Hüllermeier, E. (2007). Fuzzy methods for data mining and machine learning: State of the art and prospects. In Fuzzy Sets and their Extensions: Representation, Aggregation and Models (pp. 355–374). Springer.
LibreCat: /record/16227

Hüllermeier, E. (2007). Case-based Approximate Reasoning (Vol. 44). Springer.
LibreCat: /record/16282

Sulzmann, J. N., Fürnkranz, J., &; Hüllermeier, E. (2007). On pairwise Naive Bayes classifiers. In In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland. Springer.
LibreCat: /record/13601

Beringer, J., &; Hüllermeier, E. (2006). Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006. In R. Mikut &; M. Reischl (Eds.), in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany (pp. 140–149).
LibreCat: /record/15785

Hüllermeier, E., &; Brinker, K. (2006). Classification via fuzzy preference learning. In R. Mikut &; M. Reischl (Eds.), in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany (pp. 190–199).
LibreCat: /record/15786

Hüllermeier, E. (2006). Credible case-based inference using similarity profiles. In M. Minor (Ed.), In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey (pp. 230–242).
LibreCat: /record/15798

Bade, K., Hüllermeier, E., &; Nürnberger, A. (2006). Hierarchical classification by expected utility maximization. In In Proceedings ICDM-2006, IEEE International Conference on Data Mining (pp. 43–52). IEEE Computer Society Press.
LibreCat: /record/14836

Brinker, K., &; Hüllermeier, E. (2006). Case-based label ranking. In In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006 (pp. 566–573). Springer.
LibreCat: /record/14837