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427 Publications


2014 | Conference Paper | LibreCat-ID: 10254
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France.” In Proceedings, Parts I-III. Lecture Notes in Computer Science, 8724–26. Springer, 2014.
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2014 | Journal Article | LibreCat-ID: 16079
Strickert, M., K. Bunte, F.M. Schleif, and Eyke Hüllermeier. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.
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2014 | Conference Paper | LibreCat-ID: 10248
Busa-Fekete, Robert, and Eyke Hüllermeier. “A Survey of Preference-Based Online Learning with Bandit Algorithms.” In Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 18–39, 2014.
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2014 | Conference Paper | LibreCat-ID: 10250
Fallah Tehrani, A., M. Strickert, and Eyke Hüllermeier. “The Choquet Kernel for Monotone Data.” In Proceedings ESANN , Bruges, Belgium, 2014.
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2014 | Journal Article | LibreCat-ID: 10298
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Data Min. Knowledge Discovery 28, no. 5–6 (2014): 1129–33.
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2014 | Journal Article | LibreCat-ID: 10313
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Machine Learning 97, no. 1–2 (2014): 1–3.
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2014 | Journal Article | LibreCat-ID: 10318
Stock, M., T. Fober, Eyke Hüllermeier, S Glinca, G. Klebe, T. Pahikkala, A. Airola, B. De Baets, and W. Wageman. “Identification of Functionally Releated Enzymes by Learning to Rank Methods.” IEEE/ACM Trans. Comput. Biology Bioinform. 11, no. 6 (2014): 1157–69.
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2014 | Journal Article | LibreCat-ID: 16082
Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences 255 (2014): 16–29.
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2014 | Conference Paper | LibreCat-ID: 353
Mohr, Felix, and Sven Walther. “Template-Based Generation of Semantic Services.” In Proceedings of the 14th International Conference on Software Reuse (ICSR), 188–203. LNCS, 2014. https://doi.org/10.1007/978-3-319-14130-5_14.
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2014 | Conference Paper | LibreCat-ID: 428
Mohr, Felix. “Estimating Functional Reusability of Services.” In Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 411–18. LNCS, 2014.
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2014 | Conference Paper | LibreCat-ID: 447
Jungmann, Alexander, Felix Mohr, and Bernd Kleinjohann. “Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services.” In Proceedings of the 10th World Congress on Services (SERVICES), 346–53, 2014. https://doi.org/10.1109/SERVICES.2014.68.
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2014 | Conference Paper | LibreCat-ID: 10249
Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” In Proceedings Discovery Science, Bled,Slovenia , 123–34, 2014.
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2014 | Conference Paper | LibreCat-ID: 10251
Abdel-Aziz, A., M. Strickert, and Eyke Hüllermeier. “Learning Solution Similarity in Preference-Based CBR.” In Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 17–31, 2014.
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2014 | Journal Article | LibreCat-ID: 10299
Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of Evolving Fuzzy Rule-Based Systems.” Evolving Systems 5, no. 3 (2014): 175–91.
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2014 | Journal Article | LibreCat-ID: 10314
Busa-Fekete, Robert, B. Szörényi, P. Weng, W. Cheng, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014): 327–51.
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2014 | Journal Article | LibreCat-ID: 16064
Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” International Journal of Approximate Reasoning 55, no. 7 (2014): 1519–34.
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2014 | Journal Article | LibreCat-ID: 16069
Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of Evolving Fuzzy-Rule-Based Systems.” Evolving Systems 5 (2014): 175–91.
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2014 | Journal Article | LibreCat-ID: 16083
Donner-Banzhoff, N., J. Haasenritter, Eyke Hüllermeier, A. Viniol, S. Bösner, and A. Becker. “The Comprehensive Diagnostic Study Is Suggested as a Design to Model the Diagnostic Process.” Journal of Clinical Epidemiology 2, no. 67 (2014): 124–32.
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2014 | Conference Paper | LibreCat-ID: 10295
Fürnkranz, J., Eyke Hüllermeier, Cynthia Rudin, Roman Slowinski, and Scott Sanner. “Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 4:1–27, 2014.
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2014 | Journal Article | LibreCat-ID: 10308
Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1519–34.
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2014 | Journal Article | LibreCat-ID: 10310
Strickert, M., K. Bunte, F.- M. Schleif, and Eyke Hüllermeier. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.
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2014 | Journal Article | LibreCat-ID: 10315
Montanés, E., Robin Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz, and Eyke Hüllermeier. “Dependent Binary Relevance Models for Multi-Label Classification.” Pattern Recognition 47, no. 3 (2014): 1494–1508.
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2014 | Journal Article | LibreCat-ID: 16046
Agarwal, M., A. Fallah Tehrani, and Eyke Hüllermeier. “Preference-Based Learning of Ideal Solutions in TOPSIS-like Decision Models.” Journal of Multi-Criteria Decision Analysis 22, no. 3–4 (2014).
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2014 | Journal Article | LibreCat-ID: 16060
Krotzky, T., T. Fober, Eyke Hüllermeier, and G. Klebe. “Extended Graph-Based Models for Enhanced Similarity Search in Cabase.” IEEE/ACM Transactions of Computational Biology and Bioinformatics 11, no. 5 (2014): 878–90.
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2014 | Journal Article | LibreCat-ID: 16077
Busa-Fekete, Robert, B. Szörenyi, P. Weng, W. Cheng, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014): 327–51.
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2014 | Journal Article | LibreCat-ID: 10296
Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” Applied Mathematics and Computer Science 24, no. 1 (2014): 199–212.
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2014 | Journal Article | LibreCat-ID: 10309
Hüllermeier, Eyke. “Rejoinder on "Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1609–13.
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2014 | Journal Article | LibreCat-ID: 10311
Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences 255 (2014): 16–29.
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2014 | Journal Article | LibreCat-ID: 10316
Krempl, G., I. Zliobaite, D. Brzezinski, Eyke Hüllermeier, M. Last, V. Lemaire, T. Noack, et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations 16, no. 1 (2014): 1–10.
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2014 | Conference Paper | LibreCat-ID: 10253
Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce Model.” In Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 32–33, 2014.
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2014 | Journal Article | LibreCat-ID: 16078
Krempl, G., I. Zliobaite, D. Brzezinski, Eyke Hüllermeier, M. Last, V. Lemaire, T. Noack, et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations 16, no. 1 (2014): 1–10.
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2014 | Journal Article | LibreCat-ID: 16080
Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” International Journal of Applied Mathematics and Computer Science 24, no. 1 (2014): 199–212.
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2014 | Conference Paper | LibreCat-ID: 457
Jungmann, Alexander, Felix Mohr, and Bernd Kleinjohann. “Applying Reinforcement Learning for Resolving Ambiguity in Service Composition.” In Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA), 105–12, 2014. https://doi.org/10.1109/SOCA.2014.48.
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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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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 | 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 | 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: 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: 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: 15755
Busa-Fekete, Robert, T. Fober, and Eyke Hüllermeier. “Preference-Based Evolutionary Optimization Using Generalized Racing Algorithms.” In In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, 237–46. KIT Scientific Publishing, 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 | Conference Paper | LibreCat-ID: 485
Mohr, Felix, and Hans Kleine Büning. “Semi-Automated Software Composition Through Generated Components.” In Proceedings of the 15th International Conference on Information Integration and Web-Based Applications & Services (IiWAS), 676–80, 2013. https://doi.org/10.1145/2539150.2539235.
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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: 15756
Henzgen, S., and Eyke Hüllermeier. “Weighted Rank Correlation Measures Based on Fuzzy Order Relations.” In In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, 227–36. KIT Scientific Publishing, 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: 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: 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 | Conference Paper | LibreCat-ID: 15752
Cheng, W., S. Henzgen, and Eyke Hüllermeier. “Labelwise versus Pairwise Decomposition in Label Ranking.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 129–36, 2013.
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