Bösner, S., et al. “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, vol. 14, no. 1, 2013, pp. 154–62.

Haasenritter, J., et al. “Diagnose Im Kontext - Eine Erweiterte Perspektive.” Zeitschrift Für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen (ZEFQ), vol. 107, 2013, pp. 585–91.

Shaker, A., et al. “Evolving Fuzzy Pattern Trees for Binary Classification on Data Streams.” Information Sciences, vol. 220, 2013, pp. 34–45.

Szarvas, G., et al. “Learning to Rank Lexical Substitutions.” In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA, 2013.

Dembczynski, K., et al. “Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization.” In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, edited by S. Dasgupta and D. McAllester, 2013, pp. 1130–38.

Busa-Fekete, Robert, et al. “Top-k Selection Based on Adaptive Sampling of Noisy Preferences.” In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, edited by S. Dasgupta and D. McAllester, 2013, pp. 1094–102.

Hüllermeier, Eyke, and W. Cheng. “Preference-Based CBR: General Ideas and Basic Principles.” In Proceedings IJCAI-13, 23rd International Joint Conference on Artificial Intelligence, Beijing, China, edited by F. Rossi, AAAI Press, 2013, pp. 3012–16.

Henzgen, Sascha, et al. “Rule Chains for Visualizing Evolving Fuzzy Rule-Based Systems.” In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, edited by R. Burduk et al., Springer, 2013, pp. 279–88.

Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams.” In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, edited by R. Burduk et al., Springer, 2013, pp. 289–98.

Leinweber, M., et al. “GPU-Based Cloud Computing for Comparing the Structure of Protein Binding Sites.” In Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione D`Italia, Italy, 2012.

Hüllermeier, Eyke, and A. Fallah Tehrani. “Efficient Learning of Classifiers Based on the 2-Additive Choquet Integral.” Computational Intelligence in Intelligent Data Analysis, edited by C. Moewes and A. Nürnberger, Springer, 2012, pp. 17–30.

Bräuning, M., and Eyke Hüllermeier. “Learning Conditional Lexicographic Preference Trees.” In Workshops on Preference Learning at ECAI, European Conference on Artiticial Intelligence, Montpellier, France, 2012.

Hüllermeier, Eyke, and A. Fallah Tehrani. “On the VC Dimension of the Choquet Integral.” In Proceedings IPMU-2012 14th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy, 2012.

Fallah Tehrani, A., et al. “Learning  Monotone Nonlinear Models Using the Choquet Integral.” Machine Learning, vol. 89, no. 1, 2012, pp. 183–211.

Bustince, H., et al. “Grouping, Overlap and Generalized Bientropic Functions for Fuzzy Modeling of Pairwise Comparisons.” IEEE Transactions on Fuzzy Systems, vol. 20, no. 3, 2012, pp. 405–15.

Fürnkranz, J., et al. “Preference-Based Reinforcement Learning: A Formal Framework and a Policy Iteration Algorithm.” Machine Learning, vol. 89, no. 1, 2012, pp. 123–56.

Dembczynski, K., et al. “On Label Dependence and Loss  Minimization in Multi-Label Classification.” Machine Learning, vol. 88, no. 1–2, 2012, pp. 5–45.

Shaker, Ammar, and Eyke Hüllermeier. “IBL Streams: A System for Instance-Based Classification and Regression on Data Streams.” Evolving Systems, vol. 3, no. 4, 2012, pp. 235–49.

Dolorez Ruiz, M., and Eyke Hüllermeier. “A Formal and Empirical Analysis of the Fuzzy Gamma Rank Correlation Coefficient.” Information Sciences, vol. 206, 2012, pp. 1–17.

Fallah Tehrani, A., et al. “Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking.” IEEE Transactions on Fuzzy Systems, vol. 20, no. 6, 2012, pp. 1102–13.

Fober, T., et al. “Fingerprint Kernels for Protein Structure Comparison.” Molecular Informatics, vol. 31, no. 6–7, 2012, pp. 443–52.

Hüllermeier, Eyke, et al. “Comparing Fuzzy Partitions: A Generalization of the Rand Index and Related Measures.” IEEE Transactions on Fuzzy Systems, vol. 20, no. 3, 2012, pp. 546–56.

Senge, Robin, et al. “Fuzzy Pattern Trees: Ein Alternativer Ansatz Zur Fuzzy-Modellierung.” At-Atomatisierungstechnik, vol. 60, no. 10, 2012, pp. 622–29.

Cheng, W., et al. “Label Ranking with Partial Abstention Based on Thresholded Probalistic Models.” In Proceedings NIPS-2012, 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA, 2012.

Cheng, W., and Eyke Hüllermeier. “Probability Estimation for Mulit-Class Classification Based on Label Ranking.” Proceedings ECML/PKDD-2012, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK, 2012.

Dembczynski, K., et al. “Consistent Multilabel Ranking through Univariate Loss Minimization.” In Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland, edited by J. Langford and J. Pineau, 2012.

Dembczynski, K., et al. “An Analysis of Chaining in Multi-Label Classification.” In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France , IOS Press, 2012, pp. 294–99.

Hüllermeier, Eyke. “Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies.” Combining Experimentation and Theory, edited by E. Trillas et al., vol. 271, Springer, 2012, pp. 123–35.

Dembczynski, K., et al. “Joint Mode Estimation in Multi-Label Classification by Chaining.” In Proceedings ECML Workshop on Collective Inference and Learning on Structured Data, Athens, Greece, 2011.

Mernberger, M., et al. “Prediction of Protein Localization for Specialized Compartments Using Time Series Kernels.” In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany, 2011.

Nasiri, M., et al. “Comparing Methods for Knowledge-Driven and Data-Driven Fuzzy Modeling: A Case Study in Textile Industry.” In Proceedings IFSA-2011 World Congress of the International Fuzzy Systems Association, Surabaya and Bali Island, Indonesia, 2011, p. RW-103-1-6.

Lughofer, E., and Eyke Hüllermeier. “On-Line Redundancy Deletion in Evolving Fuzzy Regression Models Using a Fuzzy Inclusion Measure.” In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, edited by S. Galichet et al., 2011, pp. 380–87.

Fallah Tehrani, A., et al. “Choquistic Regression: Generalizing Logistic Regression Using the Choquet Integral.” In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, 2011, pp. 868–75.

Hirsch, O., et al. “Multivariate Modeling to Identify Patterns in Clinical Data: The Example of Chest Pain.” BMC Medical Research Methodology, vol. 11, no. 155, 2011.

Domshlak, C., et al. “Preferences in AL: An Overview.” Artificial Intelligence, vol. 175, no. 7–8, 2011, pp. 1037–52.

Hüllermeier, Eyke. “Fuzzy Machine Learning and Data Mining.” WIREs Data Mining and Knowledge Discovery, vol. 1, no. 4, 2011, pp. 269–83.

Mernberger, M., et al. “SEGA: Semi-Global Graph Alignment for Structure-Based Protein Comparison.” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 8, no. 5, 2011, pp. 1330–43.

Fober, T., et al. “Superposition and Alignment of Labeled Point Clouds.” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 8, no. 6, 2011, pp. 1653–66.

Hüllermeier, Eyke. “Fuzzy Sets in Machine Learning and Data Mining.” Applied Soft Computing Journal, 2011, pp. 1493–505.

Senge, Robin, and Eyke Hüllermeier. “Top-down Induction of Fuzzy Pattern Trees.” IEEE Transactions on Fuzzy Systems, vol. 19, no. 2, 2011, pp. 241–52.

Dembczynski, K., et al. “An Exact Algorithm for F-Measure Maximization.” In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain, 2011.

Fürnkranz, J., and Eyke Hüllermeier. “Learning from Label Preferences.” In Proceedings DS-2011, 14th International  Conference on Discovery Science, Number 6926 in LNAI, edited by T. Elomaa et al., Springer, 2011, pp. 2–17.

Fallah Tehrani, A., et al. “Learning  Monotone Nonlinear Models Using the Choquet Integral.” In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, 2011.

Hüllermeier, Eyke, and P. Schlegel. “Preference-Based CBR: First Steps toward a Methodological Framework.” In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, Number 6880 in LNAI, edited by A. Ram and N. Wiratunga, Springer, 2011, pp. 77–91.

Kotlowski, W., et al. “Bipartite Ranking through Minimization of Univariate Loss.” In Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA, 2011.

Hüllermeier, Eyke, and J. Hühn. “An Analysis of the FURIA Algorithm for Fuzzy Rule Induction.” Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski, edited by J. Koronacki et al., vol. 262, Springer, 2010, pp. 321–44.

Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning: An Introduction.” Preference Learning, edited by J. Fürnkranz and Eyke Hüllermeier, Springer, 2010, pp. 1–18.

Fober, T., et al. “Efficient Similarity Retrieval for Protein Binding Sites Based on Histogram Comparison.” In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany, 2010, pp. 51–60.

Dembczynski, K., et al. “On Label Dependence in Multi-Label Classification.” In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel, 2010.

Fober, T., and Eyke Hüllermeier. “Similarity Measures for Protein Structures Based on Fuzzy Histogram Comparison.” In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.