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448 Publications


2013 | Conference Paper | LibreCat-ID: 15757
Weng, P., Robert Busa-Fekete, and Eyke Hüllermeier. “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, 2013.
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2013 | Conference Paper | LibreCat-ID: 15758
Busa-Fekete, Robert, B. Szörenyi, P. Weng, and Eyke Hüllermeier. “Preference-Based Evolutionary Direct Policy Search.” In In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.
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2013 | Conference Paper | LibreCat-ID: 15759
Cheng, W., and Eyke Hüllermeier. “A Nearest Neigbor Approach to Label Ranking Based on Generalized Labelwise Loss Minimization.” In In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China, 2013.
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2013 | Conference Paper | LibreCat-ID: 15760
Shaker, Ammar, and Eyke Hüllermeier. “Event History Analysis on Data Streams: An Application to Earthquake Occurence.” In In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic, edited by G. Krempl, I. Zliobaite, Y. Wang, and G. Forman, 38–41, 2013.
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2013 | Conference Paper | LibreCat-ID: 15761
Senge, Robin, J.J. del Coz, and Eyke Hüllermeier. “On the Problem of Error Propagation in Classier Chains for Multi-Label Classification. Data Analysis, Machine Learning and Knowledge Discovery.” In In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany , edited by L. Schmidt-Thieme and M. Spiliopoulou. Springer, 2013.
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2013 | Conference Paper | LibreCat-ID: 15763
Fober, T., G. Klebe, and Eyke Hüllermeier. “Local Clique Merging: An Extension of the Maximum Common Subgraph Measure with Applications in Structural Bioinformatics, Algorithms from and for Nature and Life.” In In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany, edited by B. Lausen, D. Van den Poel, and A. Ultsch, 279–86. Springer, 2013.
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2013 | Conference Paper | LibreCat-ID: 15112
Fallah Tehrani, A., and Eyke Hüllermeier. “Ordinal Choquistic Regression .” In In Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy, edited by J. Montero, G. Pasi, and D. Ciucci. Atlantis Press, 2013.
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2013 | Conference Paper | LibreCat-ID: 15113
Nasiri, N., T. Fober, Robin Senge, and Eyke Hüllermeier. “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, 715–21, 2013.
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2013 | Journal Article | LibreCat-ID: 16044
Heider, D., Robin Senge, W. Cheng, and Eyke Hüllermeier. “Multilabel Classification for Exploiting Cross-Resistance Information in HIV-1 Drug Resistence Prediction.” Bioinformatics 29, no. 16 (2013): 1946–52.
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2013 | Journal Article | LibreCat-ID: 16081
Bösner, S., K. Bönisch, J. Haasenritter , P. Schlegel, Eyke Hüllermeier, and N. Donner-Banzhoff. “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, no. 1 (2013): 154–62.
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2013 | Journal Article | LibreCat-ID: 16086
Haasenritter, J., A. Viniol, A. Becker, S. Bösner, Eyke Hüllermeier, Robin Senge, and N. Donner-Banzhoff. “Diagnose Im Kontext - Eine Erweiterte Perspektive.” Zeitschrift Für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen (ZEFQ) 107 (2013): 585–91.
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2013 | Journal Article | LibreCat-ID: 16123
Shaker, A., R. Senge, and Eyke Hüllermeier. “Evolving Fuzzy Pattern Trees for Binary Classification on Data Streams.” Information Sciences 220 (2013): 34–45.
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2013 | Conference Paper | LibreCat-ID: 13115
Szarvas, G., Robert Busa-Fekete, and Eyke Hüllermeier. “Learning to Rank Lexical Substitutions.” In 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., A. Jachnik, W. Kotlowski, W. Waegeman, and Eyke Hüllermeier. “Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization.” In In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, edited by S. Dasgupta and D. McAllester, 1130–38, 2013.
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2013 | Conference Paper | LibreCat-ID: 13117
Busa-Fekete, Robert, B. Szoreny, P. Weng, W. Cheng, and Eyke Hüllermeier. “Top-k Selection Based on Adaptive Sampling of Noisy Preferences.” In In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, edited by S. Dasgupta and D. McAllester, 1094–1102, 2013.
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2013 | Conference Paper | LibreCat-ID: 13118
Hüllermeier, Eyke, and W. Cheng. “Preference-Based CBR: General Ideas and Basic Principles.” In In Proceedings IJCAI-13, 23rd International Joint Conference on Artificial Intelligence, Beijing, China, edited by F. Rossi, 3012–16. AAAI Press, 2013.
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2013 | Conference Paper | LibreCat-ID: 13119
Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Rule Chains for Visualizing Evolving Fuzzy Rule-Based Systems.” In In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, edited by R. Burduk, K. Jackowski, M. Kurzynski, M. Wozniak, and A. Zolnierek, 279–88. Springer, 2013.
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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 In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, edited by R. Burduk, K. Jackowski, M. Kurzynski, W. Wozniak, and A. Zolnierek, 289–98. Springer, 2013.
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2012 | Conference Paper | LibreCat-ID: 15299
Leinweber, M., L. Baumgärtner, M. Mernberger, T. Fober, Eyke Hüllermeier, G. Klebe, and B. Freisleben. “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, 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.” In Computational Intelligence in Intelligent Data Analysis, edited by C. Moewes and A. Nürnberger, 17–30. Studies in Computational Intelligence. Springer, 2012.
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2012 | Conference Paper | LibreCat-ID: 15754
Bräuning, M., and Eyke Hüllermeier. “Learning Conditional Lexicographic Preference Trees.” In 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 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., W. Cheng, K. Dembczynski, and Eyke Hüllermeier. “Learning  Monotone Nonlinear Models Using the Choquet Integral.” Machine Learning 89, no. 1 (2012): 183–211.
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2012 | Journal Article | LibreCat-ID: 16085
Bustince, H., M. Pagola, R. Mesiar, Eyke Hüllermeier, and F. Herrera. “Grouping, Overlap and Generalized Bientropic Functions for Fuzzy Modeling of Pairwise Comparisons.” IEEE Transactions on Fuzzy Systems 20, no. 3 (2012): 405–15.
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2012 | Journal Article | LibreCat-ID: 16087
Fürnkranz, J., Eyke Hüllermeier, W. Cheng, and S.H. Park. “Preference-Based Reinforcement Learning: A Formal Framework and a Policy Iteration Algorithm.” Machine Learning 89, no. 1 (2012): 123–56.
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2012 | Journal Article | LibreCat-ID: 16088
Dembczynski, K., W. Waegeman, W. Cheng, and Eyke Hüllermeier. “On Label Dependence and Loss  Minimization in Multi-Label Classification.” Machine Learning 88, no. 1–2 (2012): 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 3, no. 4 (2012): 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 206 (2012): 1–17.
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2012 | Journal Article | LibreCat-ID: 16091
Fallah Tehrani, A., W. Cheng, and Eyke Hüllermeier. “Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking.” IEEE Transactions on Fuzzy Systems 20, no. 6 (2012): 1102–13.
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2012 | Journal Article | LibreCat-ID: 16092
Fober, T., M. Mernberger, G. Klebe, and Eyke Hüllermeier. “Fingerprint Kernels for Protein Structure Comparison.” Molecular Informatics 31, no. 6–7 (2012): 443–52.
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2012 | Journal Article | LibreCat-ID: 16093
Hüllermeier, Eyke, M. Rifqi, Sascha Henzgen, and Robin Senge. “Comparing Fuzzy Partitions: A Generalization of the Rand Index and Related Measures.” IEEE Transactions on Fuzzy Systems 20, no. 3 (2012): 546–56.
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2012 | Journal Article | LibreCat-ID: 16094
Senge, Robin, T. Fober, N. Nasiri, and Eyke Hüllermeier. “Fuzzy Pattern Trees: Ein Alternativer Ansatz Zur Fuzzy-Modellierung.” At-Atomatisierungstechnik 60, no. 10 (2012): 622–29.
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2012 | Conference Paper | LibreCat-ID: 13120
Cheng, W., Eyke Hüllermeier, W. Waegeman, and V. Welker. “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, 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.” In 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., W. Kotlowski, and Eyke Hüllermeier. “Consistent Multilabel Ranking through Univariate Loss Minimization.” In 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., W. Waegeman, and Eyke Hüllermeier. “An Analysis of Chaining in Multi-Label Classification.” In In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France , 294–99. IOS Press, 2012.
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2012 | Book Chapter | LibreCat-ID: 10153
Hüllermeier, Eyke. “Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies.” In Combining Experimentation and Theory, edited by E. Trillas, P.P. Bonissone, L. Magdalena, and J. Kacprzyk, 271:123–35. Studies in Fuzziness and Soft Computing. Springer, 2012.
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2011 | Conference Paper | LibreCat-ID: 15762
Dembczynski, K., W. Waegeman, and Eyke Hüllermeier. “Joint Mode Estimation in Multi-Label Classification by Chaining.” In 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., D. Moog, S. Stork, S. Zauner, U. Maier, and Eyke Hüllermeier. “Prediction of Protein Localization for Specialized Compartments Using Time Series Kernels.” In In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany, 2011.
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2011 | Conference Paper | LibreCat-ID: 15115
Nasiri, M., Eyke Hüllermeier, Robin Senge, and E. Lughofer. “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, RW-103-1-6, 2011.
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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 In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, edited by S. Galichet, J. Montero, and G. Mauris, 380–87, 2011.
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2011 | Conference Paper | LibreCat-ID: 15117
Fallah Tehrani, A., W. Cheng, and Eyke Hüllermeier. “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, 868–75, 2011.
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2011 | Journal Article | LibreCat-ID: 16119
Hirsch, O., S. Bösner, Eyke Hüllermeier, R. Senge, K. Dembczynski, and N. Donner-Banzhoff. “Multivariate Modeling to Identify Patterns in Clinical Data: The Example of Chest Pain.” BMC Medical Research Methodology 11, no. 155 (2011).
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2011 | Journal Article | LibreCat-ID: 16126
Domshlak, C., Eyke Hüllermeier, S. Kaci, and H. Prade. “Preferences in AL: An Overview.” Artificial Intelligence 175, no. 7–8 (2011): 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 1, no. 4 (2011): 269–83.
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2011 | Journal Article | LibreCat-ID: 16148
Mernberger, M., G. Klebe, and Eyke Hüllermeier. “SEGA: Semi-Global Graph Alignment for Structure-Based Protein Comparison.” IEEE/ACM Transactions of Computational Biology and Bioinformatics 8, no. 5 (2011): 1330–43.
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2011 | Journal Article | LibreCat-ID: 16149
Fober, T., S. Glinca, G. Klebe, and Eyke Hüllermeier. “Superposition and Alignment of Labeled Point Clouds.” IEEE/ACM Transactions on Computational Biology and Bioinformatics 8, no. 6 (2011): 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, 1493–1505.
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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 19, no. 2 (2011): 241–52.
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2011 | Conference Paper | LibreCat-ID: 13194
Dembczynski, K., W. Waegeman, W. Cheng, and Eyke Hüllermeier. “An Exact Algorithm for F-Measure Maximization.” In In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain, 2011.
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