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443 Publications
2015 | Conference Paper | LibreCat-ID: 10242
Szörényi, B., et al. “Online F-Measure Optimization.” In Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015, pp. 595–603.
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2015 | Conference Paper | LibreCat-ID: 10243
El Mesaoudi-Paul, Adil, and Eyke Hüllermeier. “A CBR Approach to the Angry Birds Game.” In Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 2015, pp. 68–77.
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2015 | Conference Paper | LibreCat-ID: 10244
Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations.” In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML), 2015, pp. 110–11.
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2015 | Conference Paper | LibreCat-ID: 10245
Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data Imprecisiation.” Proceedings 25. Workshop Computational Intelligence, 2015, pp. 97–104.
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2015 | Conference Paper | LibreCat-ID: 10246
Ewerth, Ralph, et al. “Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches.” Proceedings 25. Workshop Computational Intelligence, 2015, pp. 235–40.
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2015 | Journal Article | LibreCat-ID: 10319
Waegeman, W., et al. “On the Bayes-Optimality of F-Measure Maximizers.” In Journal of Machine Learning Research, vol. 15, 2015, pp. 3333–88.
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2015 | Journal Article | LibreCat-ID: 10320
Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets and Systems, vol. 281, 2015, pp. 292–99.
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2015 | Journal Article | LibreCat-ID: 10321
Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing, vol. 150, 2015, pp. 250–64.
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2015 | Journal Article | LibreCat-ID: 10322
Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Fuzzy Modeling-Development, Criticism and Alternative Directions.” Informatik Spektrum, vol. 38, no. 6, 2015, pp. 500–09.
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2015 | Journal Article | LibreCat-ID: 10323
Garcia-Jimenez, S., et al. “Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems.” IEEE Transactions on Fuzzy Systems, vol. 23, no. 4, 2015, pp. 1259–73.
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2015 | Journal Article | LibreCat-ID: 10324
Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning of Classification.” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, 2015, pp. 2024–33.
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2014 | Journal Article | LibreCat-ID: 16046
Agarwal, M., et al. “Preference-Based Learning of Ideal Solutions in TOPSIS-like Decision Models.” Journal of Multi-Criteria Decision Analysis, vol. 22, no. 3–4, 2014.
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2014 | Journal Article | LibreCat-ID: 16060
Krotzky, T., et al. “Extended Graph-Based Models for Enhanced Similarity Search in Cabase.” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 11, no. 5, 2014, pp. 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, vol. 55, no. 7, 2014, pp. 1519–34.
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2014 | Journal Article | LibreCat-ID: 16069
Henzgen, Sascha, et al. “Visualization of Evolving Fuzzy-Rule-Based Systems.” Evolving Systems, vol. 5, 2014, pp. 175–91.
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2014 | Journal Article | LibreCat-ID: 16077
Busa-Fekete, Robert, et al. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning, vol. 97, no. 3, 2014, pp. 327–51.
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2014 | Journal Article | LibreCat-ID: 16078
Krempl, G., et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations, vol. 16, no. 1, 2014, pp. 1–10.
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2014 | Journal Article | LibreCat-ID: 16079
Strickert, M., et al. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing, vol. 141, 2014, pp. 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, vol. 24, no. 1, 2014, pp. 199–212.
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2014 | Journal Article | LibreCat-ID: 16082
Senge, Robin, et al. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences, vol. 255, 2014, pp. 16–29.
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