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402 Publications


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 | 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: 16058
Waegeman, W., et al. “On the Bayes-Optimality of F-Measure Maximizers.” Journal of Machine Learning Research, vol. 15, 2015, pp. 3313–68.
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2015 | Journal Article | LibreCat-ID: 16053
Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets and Systems, vol. 281, 2015, pp. 292–99.
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2015 | Conference Paper | LibreCat-ID: 10234
Hüllermeier, Eyke, and M. Minor. “Case-Based Reasoning Research and Development .” In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343, Springer, 2015.
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2015 | Conference Paper | LibreCat-ID: 10241
Szörényi, B., et al. “Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach.” In Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015, pp. 604–12.
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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 | Conference Paper | LibreCat-ID: 10239
Hüllermeier, Eyke, and W. Cheng. “Superset Learning Based on Generalized Loss Minimization .” In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 260–75.
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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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2014 | Conference Paper | LibreCat-ID: 10254
Calders, T., et al. “Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France.” Proceedings, Parts I-III. Lecture Notes in Computer Science, Springer, 2014, pp. 8724–26.
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2014 | Conference Paper | LibreCat-ID: 10247
Busa-Fekete, Robert, et al. “PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences.” Proceedings AAAI 2014, Quebec, Canada, 2014, pp. 1701–07.
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2014 | Journal Article | LibreCat-ID: 10297
Hoffmann, F., et al. “Ausgewählte Beiträge Des GMA-Fachausschusses 5.14.” Computational Intelligence Automatisierungstechnik, vol. 62, no. 10, 2014, pp. 685–86.
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2014 | Journal Article | LibreCat-ID: 10312
Mernberger, M., et al. “Protein Sub-Cellular Localization Prediction for Special Compartments via Optimized Time Series Distances.” J. Bioinformatics and Computational Biology, vol. 12, no. 1, 2014.
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2014 | Journal Article | LibreCat-ID: 10317
Krotzky, T., et al. “Extended Graph-Based Models for Enhanced Similarity Search in Cavbase.” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 5, 2014, pp. 878–90.
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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 | Conference Paper | LibreCat-ID: 447
Jungmann, Alexander, et al. “Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services.” Proceedings of the 10th World Congress on Services (SERVICES), 2014, pp. 346–53, doi:10.1109/SERVICES.2014.68.
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2014 | Conference Paper | LibreCat-ID: 353
Mohr, Felix, and Sven Walther. “Template-Based Generation of Semantic Services.” Proceedings of the 14th International Conference on Software Reuse (ICSR), 2014, pp. 188–203, doi: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.” Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 2014, pp. 411–18.
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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.” Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.
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2014 | Conference Paper | LibreCat-ID: 10250
Fallah Tehrani, A., et al. “The Choquet Kernel for Monotone Data.” Proceedings ESANN , Bruges, Belgium, 2014.
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2014 | Journal Article | LibreCat-ID: 10298
Calders, T., et al. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Data Min. Knowledge Discovery, vol. 28, no. 5–6, 2014, pp. 1129–33.
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2014 | Journal Article | LibreCat-ID: 10318
Stock, M., et al. “Identification of Functionally Releated Enzymes by Learning to Rank Methods.” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 6, 2014, pp. 1157–69.
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2014 | Journal Article | LibreCat-ID: 10313
Calders, T., et al. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Machine Learning, vol. 97, no. 1–2, 2014, pp. 1–3.
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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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2014 | Conference Paper | LibreCat-ID: 10251
Abdel-Aziz, A., et al. “Learning Solution Similarity in Preference-Based CBR.” Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 2014, pp. 17–31.
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2014 | Conference Paper | LibreCat-ID: 10249
Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” Proceedings Discovery Science, Bled,Slovenia , 2014, pp. 123–34.
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2014 | Journal Article | LibreCat-ID: 10299
Henzgen, Sascha, et al. “Visualization of Evolving Fuzzy Rule-Based Systems.” Evolving Systems, vol. 5, no. 3, 2014, pp. 175–91.
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2014 | Journal Article | LibreCat-ID: 10314
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: 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: 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: 16083
Donner-Banzhoff, N., et al. “The Comprehensive Diagnostic Study Is Suggested as a Design to Model the Diagnostic Process.” Journal of Clinical Epidemiology, vol. 2, no. 67, 2014, pp. 124–32.
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2014 | Conference Paper | LibreCat-ID: 10295
Fürnkranz, J., et al. Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports. Vol. 4, no. 3, 2014, pp. 1–27.
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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, vol. 55, no. 7, 2014, pp. 1519–34.
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2014 | Journal Article | LibreCat-ID: 10315
Montanés, E., et al. “Dependent Binary Relevance Models for Multi-Label Classification.” Pattern Recognition, vol. 47, no. 3, 2014, pp. 1494–508.
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2014 | Journal Article | LibreCat-ID: 10310
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: 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: 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: 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 | Conference Paper | LibreCat-ID: 457
Jungmann, Alexander, et al. “Applying Reinforcement Learning for Resolving Ambiguity in Service Composition.” Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA), 2014, pp. 105–12, doi:10.1109/SOCA.2014.48.
LibreCat | Files available | DOI
 

2014 | Conference Paper | LibreCat-ID: 10253
Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce Model.” Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 2014, pp. 32–33.
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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, vol. 55, no. 7, 2014, pp. 1609–13.
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2014 | Journal Article | LibreCat-ID: 10311
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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2014 | Journal Article | LibreCat-ID: 10316
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: 10296
Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” Applied Mathematics and Computer Science, vol. 24, no. 1, 2014, pp. 199–212.
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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: 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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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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2013 | Conference Paper | LibreCat-ID: 15761
Senge, Robin, et al. “On the Problem of Error Propagation in Classier Chains for Multi-Label Classification. Data Analysis, Machine Learning and Knowledge Discovery.” 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: 15759
Cheng, W., and Eyke Hüllermeier. “A Nearest Neigbor Approach to Label Ranking Based on Generalized Labelwise Loss Minimization.” In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China, 2013.
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