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1917 Publications


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: 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: 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: 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: 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 | 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 | 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 | 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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