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.
LibreCat: /record/15756

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.
LibreCat: /record/15757

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.
LibreCat: /record/15758

Cheng, W., &; Hüllermeier, E. (2013). A nearest neigbor approach to label ranking based on generalized labelwise loss minimization. In In Proceedings M-PREF, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China.
LibreCat: /record/15759

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).
LibreCat: /record/15760

Senge, R., del Coz, J. J., &; Hüllermeier, E. (2013). On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery. 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.
LibreCat: /record/15761

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.
LibreCat: /record/15763

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.
LibreCat: /record/15112

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).
LibreCat: /record/15113

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.
LibreCat: /record/16044

Bösner, S., Bönisch, K., Haasenritter , J., Schlegel, P., Hüllermeier, E., &; Donner-Banzhoff, N. (2013). Chest pain in primary care: is the localization of pain diagnostically helpful in the critical evaluation of patients? A cross sectional study. . BMC Family Practice, 14(1), 154–162.
LibreCat: /record/16081

Haasenritter, J., Viniol, A., Becker, A., Bösner, S., Hüllermeier, E., Senge, R., &; Donner-Banzhoff, N. (2013). Diagnose im Kontext - eine erweiterte Perspektive. Zeitschrift Für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen (ZEFQ), 107, 585–591.
LibreCat: /record/16086

Shaker, A., Senge, R., &; Hüllermeier, E. (2013). Evolving fuzzy pattern trees for binary classification on data streams. Information Sciences, 220, 34–45.
LibreCat: /record/16123

Szarvas, G., Busa-Fekete, R., &; Hüllermeier, E. (2013). Learning to rank lexical substitutions. In In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA.
LibreCat: /record/13115

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).
LibreCat: /record/13116

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).
LibreCat: /record/13117

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.
LibreCat: /record/13118

Henzgen, S., Strickert, M., &; Hüllermeier, E. (2013). Rule chains for visualizing evolving fuzzy rule-based systems. 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 (pp. 279–288). Springer.
LibreCat: /record/13119

Shaker, A., &; Hüllermeier, E. (2013). Recovery analysis for adaptive learning from non-stationary data streams. 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 (pp. 289–298). Springer.
LibreCat: /record/13190

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.
LibreCat: /record/15299

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.
LibreCat: /record/15396

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.
LibreCat: /record/15754

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.
LibreCat: /record/15114

Fallah Tehrani, A., Cheng, W., Dembczynski, K., &; Hüllermeier, E. (2012). Learning  monotone nonlinear models using the Choquet integral. Machine Learning, 89(1), 183–211.
LibreCat: /record/16084

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.
LibreCat: /record/16085

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: /record/16087

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.
LibreCat: /record/16088

Shaker, A., &; Hüllermeier, E. (2012). IBL Streams: A system for instance-based classification and regression on data streams. Evolving Systems, 3(4), 235–249.
LibreCat: /record/16089

Dolorez Ruiz, M., &; Hüllermeier, E. (2012). A formal and empirical analysis of the fuzzy gamma rank correlation coefficient. Information Sciences, 206, 1–17.
LibreCat: /record/16090

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.
LibreCat: /record/16091

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