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447 Publications


2013 | Journal Article | LibreCat-ID: 16123
Shaker, A., et al. “Evolving Fuzzy Pattern Trees for Binary Classification on Data Streams.” Information Sciences, vol. 220, 2013, pp. 34–45.
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2013 | Conference Paper | LibreCat-ID: 13115
Szarvas, G., et al. “Learning to Rank Lexical Substitutions.” In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA, 2013.
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2013 | Conference Paper | LibreCat-ID: 13116
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.
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2013 | Conference Paper | LibreCat-ID: 13117
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.
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2013 | Conference Paper | LibreCat-ID: 13118
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.
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2013 | Conference Paper | LibreCat-ID: 13119
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.
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2013 | Conference Paper | LibreCat-ID: 13190
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.
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2012 | Conference Paper | LibreCat-ID: 15299
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.
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2012 | Book Chapter | LibreCat-ID: 15396
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.
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2012 | Conference Paper | LibreCat-ID: 15754
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.
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2012 | Conference Paper | LibreCat-ID: 15114
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.
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2012 | Journal Article | LibreCat-ID: 16084
Fallah Tehrani, A., et al. “Learning  Monotone Nonlinear Models Using the Choquet Integral.” Machine Learning, vol. 89, no. 1, 2012, pp. 183–211.
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2012 | Journal Article | LibreCat-ID: 16085
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.
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2012 | Journal Article | LibreCat-ID: 16087
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.
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2012 | Journal Article | LibreCat-ID: 16088
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.
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2012 | Journal Article | LibreCat-ID: 16089
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.
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2012 | Journal Article | LibreCat-ID: 16090
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.
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2012 | Journal Article | LibreCat-ID: 16091
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.
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2012 | Journal Article | LibreCat-ID: 16092
Fober, T., et al. “Fingerprint Kernels for Protein Structure Comparison.” Molecular Informatics, vol. 31, no. 6–7, 2012, pp. 443–52.
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2012 | Journal Article | LibreCat-ID: 16093
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.
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2012 | Journal Article | LibreCat-ID: 16094
Senge, Robin, et al. “Fuzzy Pattern Trees: Ein Alternativer Ansatz Zur Fuzzy-Modellierung.” At-Atomatisierungstechnik, vol. 60, no. 10, 2012, pp. 622–29.
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2012 | Conference Paper | LibreCat-ID: 13120
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.
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2012 | Conference Paper | LibreCat-ID: 13191
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.
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2012 | Conference Paper | LibreCat-ID: 13192
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.
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2012 | Conference Paper | LibreCat-ID: 13193
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.
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2012 | Book Chapter | LibreCat-ID: 10153
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.
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2011 | Conference Paper | LibreCat-ID: 15762
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.
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2011 | Conference Paper | LibreCat-ID: 15764
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.
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2011 | Conference Paper | LibreCat-ID: 15115
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.
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2011 | Conference Paper | LibreCat-ID: 15116
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.
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2011 | Conference Paper | LibreCat-ID: 15117
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.
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2011 | Journal Article | LibreCat-ID: 16119
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.
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2011 | Journal Article | LibreCat-ID: 16126
Domshlak, C., et al. “Preferences in AL: An Overview.” Artificial Intelligence, vol. 175, no. 7–8, 2011, pp. 1037–52.
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2011 | Journal Article | LibreCat-ID: 16147
Hüllermeier, Eyke. “Fuzzy Machine Learning and Data Mining.” WIREs Data Mining and Knowledge Discovery, vol. 1, no. 4, 2011, pp. 269–83.
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2011 | Journal Article | LibreCat-ID: 16148
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.
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2011 | Journal Article | LibreCat-ID: 16149
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.
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2011 | Journal Article | LibreCat-ID: 16150
Hüllermeier, Eyke. “Fuzzy Sets in Machine Learning and Data Mining.” Applied Soft Computing Journal, 2011, pp. 1493–505.
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2011 | Journal Article | LibreCat-ID: 16153
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.
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2011 | Conference Paper | LibreCat-ID: 13194
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.
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2011 | Conference Paper | LibreCat-ID: 13196
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.
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2011 | Conference Paper | LibreCat-ID: 13197
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.
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2011 | Conference Paper | LibreCat-ID: 13198
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.
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2011 | Conference Paper | LibreCat-ID: 13588
Kotlowski, W., et al. “Bipartite Ranking through Minimization of Univariate Loss.” In Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA, 2011.
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2010 | Book Chapter | LibreCat-ID: 15297
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.
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2010 | Book Chapter | LibreCat-ID: 15298
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning: An Introduction.” Preference Learning, edited by J. Fürnkranz and Eyke Hüllermeier, Springer, 2010, pp. 1–18.
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2010 | Conference Paper | LibreCat-ID: 15765
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.
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2010 | Conference Paper | LibreCat-ID: 15772
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.
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2010 | Conference Paper | LibreCat-ID: 15118
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.
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2010 | Conference Paper | LibreCat-ID: 15119
Senge, Robin, and Eyke Hüllermeier. “Pattern Trees for Regression and Fuzzy Systems Modeling.” In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
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2010 | Journal Article | LibreCat-ID: 16121
Pfeffer, P., et al. “GARLig: A Fully Automated Tool for Subset Selection of Large Fragment Spaces via a Self-Adaptive Genetic Algorithm.” Journal of Chemical Information and Modeling, vol. 50, no. 9, 2010, pp. 1644–59.
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