234 Publications

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[234]
2019 | Journal Article | LibreCat-ID: 15002
Waegeman, W., Dembczynski, K., & Hüllermeier, E. (2019). Multi-target prediction: a unifying view on problems and methods. Data Mining and Knowledge Discovery, 33(2), 293–324. https://doi.org/10.1007/s10618-018-0595-5
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[233]
2019 | Conference Paper | LibreCat-ID: 15007
Melnikov, V., & Hüllermeier, E. (2019). Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. In Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101). https://doi.org/10.1016/j.jmva.2019.02.017
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[232]
2019 | Conference Paper | LibreCat-ID: 15014
Hüllermeier, E., Couso, I., & Diestercke, S. (2019). Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants. In Proceedings SUM 2019, International Conference on Scalable Uncertainty Management.
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[231]
2019 | Conference Paper | LibreCat-ID: 15003
Mortier, T., Wydmuch, M., Dembczynski, K., Hüllermeier, E., & Waegeman, W. (2019). Set-Valued Prediction in Multi-Class Classification. In Proceedings of the 31st Benelux Conference on Artificial Intelligence {(BNAIC} 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019.
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[230]
2019 | Journal Article | LibreCat-ID: 15015
Henzgen, S., & Hüllermeier, E. (2019). Mining Rank Data. ACM Transactions on Knowledge Discovery from Data, 1–36. https://doi.org/10.1145/3363572
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[229]
2019 | Conference Paper | LibreCat-ID: 10232
Wever, M. D., Mohr, F., Tornede, A., & Hüllermeier, E. (2019). Automating Multi-Label Classification Extending ML-Plan. Presented at the 6th ICML Workshop on Automated Machine Learning (AutoML 2019), Long Beach, CA, USA.
LibreCat | Files available
 
[228]
2019 | Book Chapter | LibreCat-ID: 15004
Ahmadi Fahandar, M., & Hüllermeier, E. (2019). Feature Selection for Analogy-Based Learning to Rank. In Discovery Science. Cham. https://doi.org/10.1007/978-3-030-33778-0_22
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[227]
2019 | Conference Paper | LibreCat-ID: 15011
Tornede, A., Wever, M. D., & Hüllermeier, E. (2019). Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. In F. Hoffmann, E. Hüllermeier, & R. Mikut (Eds.), Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019 (pp. 135–146). Dortmund: KIT Scientific Publishing, Karlsruhe.
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[226]
2019 | Journal Article | LibreCat-ID: 10578
Tagne, V. K., Fotso, S., Fono, L. A., & Hüllermeier, E. (2019). Choice Functions Generated by Mallows and Plackett–Luce Relations. New Mathematics and Natural Computation, 15(2), 191–213.
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[225]
2019 | Conference Abstract | LibreCat-ID: 8956
Hetzer, A., Wever, M. D., Mohr, F., & Hüllermeier, E. (2019). Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. Presented at the European Conference on Data Analysis (ECDA), Bayreuth, Germany.
LibreCat | Files available
 
[224]
2019 | Book Chapter | LibreCat-ID: 15005
Ahmadi Fahandar, M., & Hüllermeier, E. (2019). Analogy-Based Preference Learning with Kernels. In KI 2019: Advances in Artificial Intelligence. Cham. https://doi.org/10.1007/978-3-030-30179-8_3
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[223]
2019 | Conference Abstract | LibreCat-ID: 8868
Wever, M. D., Mohr, F., Hüllermeier, E., & Hetzer, A. (2019). Towards Automated Machine Learning for Multi-Label Classification. Presented at the European Conference on Data Analytics (ECDA), Bayreuth, Germany.
LibreCat | Files available
 
[222]
2019 | Conference Abstract | LibreCat-ID: 13132
Mohr, F., Wever, M. D., Tornede, A., & Hüllermeier, E. (2019). From Automated to On-The-Fly Machine Learning. In INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (pp. 273–274). Bonn: Gesellschaft für Informatik e.V.
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[221]
2019 | Journal Article | LibreCat-ID: 15001
Couso, I., Borgelt, C., Hüllermeier, E., & Kruse, R. (2019). Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning. IEEE Computational Intelligence Magazine, 31–44. https://doi.org/10.1109/mci.2018.2881642
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[220]
2019 | Book Chapter | LibreCat-ID: 15006
Nguyen, V.-L., Destercke, S., & Hüllermeier, E. (2019). Epistemic Uncertainty Sampling. In Discovery Science. Cham. https://doi.org/10.1007/978-3-030-33778-0_7
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[219]
2019 | Conference Paper | LibreCat-ID: 15013
Brinker, K., & Hüllermeier, E. (2019). A Reduction of Label Ranking to Multiclass Classification. In Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases. Würzburg, Germany.
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[218]
2018 | Conference Paper | LibreCat-ID: 10184
Schäfer, D., & Hüllermeier, E. (2018). Preference-Based Reinforcement Learning Using Dyad Ranking. In Proc. 21st Int. Conference on Discovery Science (DS) (pp. 161–175).
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[217]
2018 | Conference Paper | LibreCat-ID: 3852
Wever, M. D., Mohr, F., & Hüllermeier, E. (2018). ML-Plan for Unlimited-Length Machine Learning Pipelines. In ICML 2018 AutoML Workshop. Stockholm, Sweden.
LibreCat | Files available | Download (ext.)
 
[216]
2018 | Conference Paper | LibreCat-ID: 2479
Mohr, F., Wever, M. D., Hüllermeier, E., & Faez, A. (2018). (WIP) Towards the Automated Composition of Machine Learning Services. In SCC. San Francisco, CA, USA: IEEE. https://doi.org/10.1109/SCC.2018.00039
LibreCat | Files available | DOI | Download (ext.)
 
[215]
2018 | Conference Paper | LibreCat-ID: 10153
Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). Reduction Stumps for Multi-class Classification. In Proc. 17th Int. Symposium on Intelligent Data Analysis (IDA) (pp. 225–237).
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[214]
2018 | Conference Paper | LibreCat-ID: 15297
Hüllermeier, E., Mohr, F., Wever, M. D., & Faez, A. (2018). Towards the automated composition of machine learning services. In in Proceedings SCC 2018, IEEE International Conference of Services Computing, San Francisco, CA, USA (pp. 241–244).
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[213]
2018 | Conference Paper | LibreCat-ID: 10185
Seemann, N., Geierhos, M., Merten, M.-L., Tophinke, D., Wever, M. D., & Hüllermeier, E. (2018). Supporting the Cognitive Process in Annotation Tasks. In Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft.
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[212]
2018 | Conference Paper | LibreCat-ID: 10154
Mohr, F., Wever, M. D., Hüllermeier, E., & Faez, A. (2018). (WIP) Towards the Automated Composition of Machine Learning Services. In Proc. 15th Int. Conference on Services Computing (SCC) (pp. 241–244).
LibreCat
 
[211]
2018 | Conference Paper | LibreCat-ID: 10192
Wever, M. D., Mohr, F., & Hüllermeier, E. (2018). ML-Plan for Unlimited-Length Machine Learning Pipelines. In Int. Workshop on Automatic Machine Learning (AutoML) at ICML 2018.
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[210]
2018 | Journal Article | LibreCat-ID: 10274
Melnikov, V., & Hüllermeier, E. (2018). On the effectiveness of heuristics for learning nested dichotomies: an empirial analysis. Machine Learning, 107(8–10), 1537–1560.
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[209]
2018 | Conference (Editor) | LibreCat-ID: 10591
Abiteboul, S., Arenas, M., Barceló, P., Bienvenu, M., Calvanese, D., David, C., … Yi, K. (Eds.). (2018). Research Directions for Principles of Data Management (Vol. 7, pp. 1–29).
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[208]
2018 | Conference Paper | LibreCat-ID: 15298
Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). On-the-fly service construction with prototypes. In in Proceedings SCC 2018, IEEE International Conference of Services Computing, San Francisco, CA, USA (pp. 225–232).
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[207]
2018 | Conference Paper | LibreCat-ID: 10181
Nguyen, V.-L., Destercke, S., Masson, M.-H., & Hüllermeier, E. (2018). Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty. In Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI) (pp. 5089–5095).
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[206]
2018 | Conference Paper | LibreCat-ID: 2109
Wever, M. D., Mohr, F., & Hüllermeier, E. (2018). Ensembles of Evolved Nested Dichotomies for Classification. In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018. Kyoto, Japan: ACM. https://doi.org/10.1145/3205455.3205562
LibreCat | Files available | DOI | Download (ext.)
 
[205]
2018 | Conference Paper | LibreCat-ID: 2471
Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). On-The-Fly Service Construction with Prototypes. In SCC. San Francisco, CA, USA: IEEE Computer Society. https://doi.org/10.1109/SCC.2018.00036
LibreCat | Files available | DOI | Download (ext.)
 
[204]
2018 | Book Chapter | LibreCat-ID: 6423
Schäfer, D., & Hüllermeier, E. (2018). Preference-Based Reinforcement Learning Using Dyad Ranking. In Discovery Science (pp. 161–175). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-01771-2_11
LibreCat | Files available | DOI
 
[203]
2018 | Conference Paper | LibreCat-ID: 10148
El Mesaoudi-Paul, A., Hüllermeier, E., & Busa-Fekete, R. (2018). Ranking Distributions based on  Noisy Sorting. In Proc. 35th Int. Conference on Machine Learning (ICML) (pp. 3469–3477).
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[202]
2018 | Conference Paper | LibreCat-ID: 3552
Mohr, F., Wever, M. D., & Hüllermeier, E. (n.d.). Reduction Stumps for Multi-Class Classification. In Proceedings of the Symposium on Intelligent Data Analysis. ‘s-Hertogenbosch, the Netherlands. https://doi.org/10.1007/978-3-030-01768-2_19
LibreCat | Files available | DOI | Download (ext.)
 
[201]
2018 | Conference Paper | LibreCat-ID: 10151
Mohr, F., Lettmann, T., Hüllermeier, E., & Wever, M. D. (2018). Programmatic Task Network Planning. In Proc. 1st ICAPS Workshop on Hierachical  Planning at the 28th Int. Conference on Automated Planning and Scheduling (ICAPS) (pp. 31–39).
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[200]
2018 | Conference Paper | LibreCat-ID: 10149
Hesse, M., Timmermann, J., Hüllermeier, E., & Trächtler, A. (2018). A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart. In Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Procedia Manufacturing 24 (pp. 15–20).
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[199]
2018 | Journal Article | LibreCat-ID: 10276
Schäfer, D., & Hüllermeier, E. (2018). Dyad Ranking Using Plackett-Luce Models based on joint feature representations. Machine Learning, 107(5), 903–941.
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[198]
2018 | Book Chapter | LibreCat-ID: 10783
Couso, I., & Hüllermeier, E. (2018). Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. In S. Mostaghim, A. Nürnberger, & C. Borgelt (Eds.), Frontiers in Computational Intelligence (pp. 31–46). Springer.
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[197]
2018 | Conference Paper | LibreCat-ID: 2857
Mohr, F., Lettmann, T., Hüllermeier, E., & Wever, M. D. (2018). Programmatic Task Network Planning. In Proceedings of the 28th International Conference on Automated Planning and Scheduling. Delft, Netherlands: AAAI.
LibreCat | Files available | Download (ext.)
 
[196]
2018 | Conference Abstract | LibreCat-ID: 1379
Seemann, N., Geierhos, M., Merten, M.-L., Tophinke, D., Wever, M. D., & Hüllermeier, E. (2018). Supporting the Cognitive Process in Annotation Tasks. In K. Eckart & D. Schlechtweg (Eds.), Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft. Stuttgart, Germany.
LibreCat | Files available | Download (ext.)
 
[195]
2018 | Conference Paper | LibreCat-ID: 10152
Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). On-the-Fly Service Construction with Prototypes. In Proc. 15th Int. Conference on Services Computing (SCC) (pp. 225–232).
LibreCat
 
[194]
2018 | Conference Paper | LibreCat-ID: 10145
Ahmadi Fahandar, M., & Hüllermeier, E. (2018). Learning to Rank Based on Analogical Reasoning. In Proc. 32 nd AAAI Conference on Artificial Intelligence (AAAI) (pp. 2951–2958).
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[193]
2018 | Journal Article | LibreCat-ID: 10784
Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). ML-Plan: Automated machine learning via hierarchical planning. Machine Learning, 107(8–10), 1495–1515.
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[192]
2018 | Conference Paper | LibreCat-ID: 10188
Wever, M. D., Mohr, F., & Hüllermeier, E. (2018). Ensembles of evolved nested dichotomies for classificaton. In Proc. Genetic and Evolutionary Computation Conference (GECCO) (pp. 561–568).
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[191]
2018 | Journal Article | LibreCat-ID: 3510
Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). ML-Plan: Automated Machine Learning via Hierarchical Planning. Machine Learning. https://doi.org/10.1007/s10994-018-5735-z
LibreCat | Files available | DOI | Download (ext.)
 
[190]
2017 | Conference Paper | LibreCat-ID: 1180
Wever, M. D., Mohr, F., & Hüllermeier, E. (2017). Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization. In 27th Workshop Computational Intelligence. Dortmund.
LibreCat | Files available | Download (ext.)
 
[189]
2017 | Conference Paper | LibreCat-ID: 10204
Ewerth, R., Springstein, M., Müller, E., Balz, A., Gehlhaar, J., Naziyok, T., … Hüllermeier, E. (2017). Estimating relative depth in single images via rankboost. In Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017) (pp. 919–924).
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[188]
2017 | Conference Paper | LibreCat-ID: 10216
Shaker, A., Heldt, W., & Hüllermeier, E. (2017). Learning TSK Fuzzy Rules from Data Streams. In Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia.
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[187]
2017 | Conference Paper | LibreCat-ID: 10209
Ahmadi Fahandar, M., & Hüllermeier, E. (2017). Learning to Rank based on Analogical Reasoning. In Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence.
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[186]
2017 | Conference Paper | LibreCat-ID: 15110
Couso, I., Dubois, D., & Hüllermeier, E. (2017). Maximum likelihood estimation and coarse data. In in Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain (pp. 3–16). Springer.
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[185]
2017 | Conference Paper | LibreCat-ID: 10205
Ahmadi Fahandar, M., Hüllermeier, E., & Couso, I. (2017). Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent  Coarsening. In Proc. 34th Int. Conf. on Machine Learning (ICML 2017) (pp. 1078–1087).
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[184]
2017 | Conference Paper | LibreCat-ID: 10212
Hoffmann, F., Hüllermeier, E., & Mikut, R. (2017). (Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017.
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[183]
2017 | Journal Article | LibreCat-ID: 10267
Bräuning, M., Hüllermeier, E., Keller, T., & Glaum, M. (2017). Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application  in accounting. European Journal of Operational Research, 258(1), 295–306.
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[182]
2017 | Encyclopedia Article | LibreCat-ID: 10589
Fürnkranz, J., & Hüllermeier, E. (2017). Preference Learning. In Encyclopedia of Machine Learning and Data Mining (pp. 1000–1005).
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[181]
2017 | Conference Paper | LibreCat-ID: 15399
Czech, M., Hüllermeier, E., Jacobs, M. C., & Wehrheim, H. (2017). Predicting rankings of software verification tools. In in Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany.
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[180]
2017 | Conference Paper | LibreCat-ID: 10213
Melnikov, V., & Hüllermeier, E. (2017). Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics. In Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017 (pp. 1–12).
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[179]
2017 | Conference Paper | LibreCat-ID: 10206
Mohr, F., Lettmann, T., & Hüllermeier, E. (2017). Planning with Independent Task Networks. In Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017) (pp. 193–206).
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[178]
2017 | Journal Article | LibreCat-ID: 10268
Platenius, M.-C., Shaker, A., Becker, M., Hüllermeier, E., & Schäfer, W. (2017). Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic. IEEE Transactions on Software Engineering, 43(8), 739–759.
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[177]
2017 | Conference Paper | LibreCat-ID: 10214
Wever, M. D., Mohr, F., & Hüllermeier, E. (2017). Automatic Machine Learning: Hierarchical Planning Versus Evolutionary Optimization . In Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017 (pp. 149–166).
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[176]
2017 | Conference Paper | LibreCat-ID: 10207
Czech, M., Hüllermeier, E., Jakobs, M.-C., & Wehrheim, H. (2017). Predicting rankings of software verification tools. In Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017 (pp. 23–26).
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[175]
2017 | Journal Article | LibreCat-ID: 10269
Hüllermeier, E. (2017). From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection. The Computing Research Repository  (CoRR).
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[174]
2017 | Conference Paper | LibreCat-ID: 15396
Wever, M. D., Mohr, F., & Hüllermeier, E. (2017). Automatic machine learning: Hierarchical planning versus evolutionary optimization. In F. Hoffmann, E. Hüllermeier, & R. Mikut (Eds.), in Proceedings 27th Workshop Computational Intelligence, Dortmund Germany (pp. 149–166). KIT Scientific Publishing.
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[173]
2017 | Conference Paper | LibreCat-ID: 10208
Couso, I., Dubois, D., & Hüllermeier, E. (2017). Maximum Likelihood Estimation and Coarse Data. In Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017) (pp. 3–16).
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[172]
2017 | Conference Paper | LibreCat-ID: 15397
Melnikov, V., & Hüllermeier, E. (2017). Optimizing the structure of nested dichotomies. A comparison of two heuristics. In F. Hoffmann, E. Hüllermeier, & R. Mikut (Eds.), in Proceedings 27th Workshop Computational Intelligence, Dortmund Germany (pp. 1–12). KIT Scientific Publishing.
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[171]
2016 | Conference Paper | LibreCat-ID: 10228
Schäfer, D., & Hüllermeier, E. (2016). Preference-Based Reinforcement Learning Using Dyad Ranking. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning.
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[170]
2016 | Conference Paper | LibreCat-ID: 10223
Melnikov, V., & Hüllermeier, E. (2016). Learning to aggregate using uninorms,  in Proceedings ECML/PKDD-2016. In European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva del Garda, Italy (pp. 756–771).
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[169]
2016 | Conference Paper | LibreCat-ID: 10230
Lu, S., & Hüllermeier, E. (2016). Support vector classification on noisy data using fuzzy supersets losses. In F. Hoffmann, E. Hüllermeier, & R. Mikut (Eds.), Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing (pp. 1–8).
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[168]
2016 | Journal Article | LibreCat-ID: 10266
Riemenschneider, M., Senge, R., Neumann, U., Hüllermeier, E., & Heider, D. (2016). Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification. BioData Mining, 9(10).
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[167]
2016 | Encyclopedia Article | LibreCat-ID: 10785
Fürnkranz, J., & Hüllermeier, E. (2016). Preference Learning. In C. Sammut & G. I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining. Springer.
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[166]
2016 | Conference Paper | LibreCat-ID: 15401
Schäfer, D., & Hüllermeier, E. (2016). Preference -based reinforcement learning using dyad ranking. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany.
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[165]
2016 | Conference Paper | LibreCat-ID: 10224
Dembczynski, K., Kotlowski, W., Waegeman, W., Busa-Fekete, R., & Hüllermeier, E. (2016). Consistency of probalistic classifier trees. In In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva del Garda, Italy (pp. 511–526).
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[164]
2016 | Conference Paper | LibreCat-ID: 10229
Couso, I., Ahmadi Fahandar, M., & Hüllermeier, E. (2016). Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning.
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[163]
2016 | Conference Paper | LibreCat-ID: 10231
Schäfer, D., & Hüllermeier, E. (2016). Plackett-Luce networks for dyad ranking. In In Workshop LWDA “Lernen, Wissen, Daten, Analysen.”
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[162]
2016 | Conference Paper | LibreCat-ID: 15111
Pfannschmidt, K., Hüllermeier, E., Held, S., & Neiger, R. (2016). Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts. In In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands (pp. 450–461). Springer.
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[161]
2016 | Conference Paper | LibreCat-ID: 15402
Couso, I., Ahmadi Fahandar, M., & Hüllermeier, E. (2016). Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany.
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[160]
2016 | Conference Paper | LibreCat-ID: 10225
Shabani, A., Paul, A., Platon, R., & Hüllermeier, E. (2016). Predicting the electricity consumption of buildings: An improved CBR approach. In In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA (pp. 356–369).
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[159]
2016 | Conference (Editor) | LibreCat-ID: 10263
Kaminka, G. A., Fox, M., Bouquet, P., Hüllermeier, E., Dignum, V., Dignum, F., & van Harmelen, F. (Eds.). (2016). ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial Intelligence (Vol. 285). The Hague, The Netherlands: IOS Press.
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[158]
2016 | Conference Paper | LibreCat-ID: 15403
Lu, S., & Hüllermeier, E. (2016). Support vector classification on noisy data using fuzzy superset losses. In E. Hüllermeier, F. Hoffmann, & R. Mikut (Eds.), in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany (pp. 1–8). KIT Scientific Publishing.
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[157]
2016 | Conference Paper | LibreCat-ID: 10226
Pfannschmidt, K., Hüllermeier, E., Held, S., & Neiger, R. (2016). Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts. In In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands (pp. 450–461). Springer.
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[156]
2016 | Conference (Editor) | LibreCat-ID: 10221
Hoffmann, F., Hüllermeier, E., & Mikut, R. (Eds.). (2016). Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany.
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[155]
2016 | Journal Article | LibreCat-ID: 10264
Leinweber, M., Fober, T., Strickert, M., Baumgärtner, L., Klebe, G., Freisleben, B., & Hüllermeier, E. (2016). CavSimBase: A database for large scale comparison of protein binding sites. IEEE Transactions on Knowledge and Data Engineering, 28(6), 1423–1434.
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[154]
2016 | Conference Paper | LibreCat-ID: 15404
Schäfer, D., & Hüllermeier, E. (2016). Plackett-Luce networks for dyad ranking. In in Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany.
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[153]
2016 | Conference Paper | LibreCat-ID: 10227
Labreuche, C., Hüllermeier, E., Vojtas, P., & Fallah Tehrani, A. (2016). On the Identifiability of models in multi-criteria preference learning . In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning.
LibreCat
 
[152]
2016 | Conference Paper | LibreCat-ID: 10222
Jasinska, K., Dembczynski, K., Busa-Fekete, R., Klerx, T., & Hüllermeier, E. (2016). Extreme F-measure maximization using sparse probability estimates . In M. F. Balcan & K. Q. Weinberger (Eds.), Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA.
LibreCat
 
[151]
2016 | Conference Paper | LibreCat-ID: 15400
Labreuche, C., Hüllermeier, E., Vojtas, P., & Fallah Tehrani, A. (2016). On the identifiability of models  in multi-criteria preference learning. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany.
LibreCat
 
[150]
2015 | Journal Article | LibreCat-ID: 4792
Senge, R., & Hüllermeier, E. (2015). Fast Fuzzy Pattern Tree Learning for Classification. IEEE Transactions on Fuzzy Systems, 23(6), 2024–2033. https://doi.org/10.1109/tfuzz.2015.2396078
LibreCat | Files available | DOI
 
[149]
2015 | Conference Paper | LibreCat-ID: 10242
Szörényi, B., Busa-Fekete, R., Dembczynski, K., & Hüllermeier, E. (2015). Online F-Measure Optimization. In in Advances in Neural Information Processing Systems 28 (NIPS 2015) (pp. 595–603).
LibreCat
 
[148]
2015 | Conference Paper | LibreCat-ID: 10235
Hoffmann, F., & Hüllermeier, E. (2015). Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing.
LibreCat
 
[147]
2015 | Journal Article | LibreCat-ID: 10324
Senge, R., & Hüllermeier, E. (2015). Fast Fuzzy Pattern Tree Learning of Classification. IEEE Transactions on Fuzzy Systems, 23(6), 2024–2033.
LibreCat
 
[146]
2015 | Conference Paper | LibreCat-ID: 15406
Schäfer, D., & Hüllermeier, E. (2015). Preference-based meta-learning using dyad ranking: Recommending algorithms in cold-start situations. In in Proceedings of the 2015 international Workshop on Meta-Learning and Algorithm Selection co-located ECML/PKDD, Porto, Portugal (pp. 110–111).
LibreCat
 
[145]
2015 | Conference Paper | LibreCat-ID: 10243
El Mesaoudi-Paul, A., & Hüllermeier, E. (2015). A CBR Approach to the Angry Birds Game. In in Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015) (pp. 68–77).
LibreCat
 
[144]
2015 | Conference Paper | LibreCat-ID: 10236
Abdel-Aziz, A., & Hüllermeier, E. (2015). Case Base Maintenance in Preference-Based CBR. In In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) (pp. 1–14).
LibreCat
 
[143]
2015 | Journal Article | LibreCat-ID: 10320
Hüllermeier, E. (2015). Does machine learning need fuzzy logic? Fuzzy Sets and Systems, 281, 292–299.
LibreCat
 
[142]
2015 | Conference Paper | LibreCat-ID: 10244
Schäfer, D., & Hüllermeier, E. (2015). Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations. In in Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML) (pp. 110–111).
LibreCat
 
[141]
2015 | Conference Paper | LibreCat-ID: 10237
Szörényi, B., Busa-Fekete, R., Weng, P., & Hüllermeier, E. (2015). Qualitative Multi-Armed Bandits: A Quantile-Based Approach. In In Proceedings International Conference on Machine Learning (ICML 2015) (pp. 1660–1668).
LibreCat
 
[140]
2015 | Journal Article | LibreCat-ID: 10319
Waegeman, W., Dembczynski, K., Jachnik, A., Cheng, W., & Hüllermeier, E. (2015). On the Bayes-Optimality of F-Measure Maximizers. In Journal of Machine Learning Research, 15, 3333–3388.
LibreCat
 
[139]
2015 | Journal Article | LibreCat-ID: 10321
Shaker, A., & Hüllermeier, E. (2015). Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. Neurocomputing, 150, 250–264.
LibreCat
 
[138]
2015 | Conference Paper | LibreCat-ID: 10240
Henzgen, S., & Hüllermeier, E. (2015). Weighted Rank Correlation : A Flexible Approach Based on Fuzzy Order Relations. In in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD) (pp. 422–437).
LibreCat
 
[137]
2015 | Conference Paper | LibreCat-ID: 10238
Schäfer, D., & Hüllermeier, E. (2015). Dyad Ranking Using A Bilinear Plackett-Luce Model. In in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD) (pp. 227–242).
LibreCat
 
[136]
2015 | Conference Paper | LibreCat-ID: 10245
Lu, S., & Hüllermeier, E. (2015). Locally weighted regression through data imprecisiation. In Proceedings 25. Workshop Computational Intelligence (pp. 97–104).
LibreCat
 
[135]
2015 | Journal Article | LibreCat-ID: 10322
Hüllermeier, E. (2015). From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and alternative directions. Informatik Spektrum, 38(6), 500–509.
LibreCat
 
[134]
2015 | Conference Paper | LibreCat-ID: 10234
Hüllermeier, E., & Minor, M. (2015). Case-Based Reasoning Research and Development . In in Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343. Springer.
LibreCat
 
[133]
2015 | Conference Paper | LibreCat-ID: 10241
Szörényi, B., Busa-Fekete, R., Paul, A., & Hüllermeier, E. (2015). Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach. In in Advances in Neural Information Processing Systems 28 (NIPS 2015) (pp. 604–612).
LibreCat
 
[132]
2015 | Conference Paper | LibreCat-ID: 10246
Ewerth, R., Balz, A., Gehlhaar, J., Dembczynski, K., & Hüllermeier, E. (2015). Depth estimation in monocular images: Quantitative versus qualitative approaches. In Proceedings 25. Workshop Computational Intelligence (pp. 235–240).
LibreCat
 
[131]
2015 | Conference Paper | LibreCat-ID: 10239
Hüllermeier, E., & Cheng, W. (2015). Superset Learning Based on Generalized Loss Minimization . In in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD) (pp. 260–275).
LibreCat
 
[130]
2015 | Journal Article | LibreCat-ID: 10323
Garcia-Jimenez, S., Bustince, U., Hüllermeier, E., Mesiar, R., Pal, N. R., & Pradera, A. (2015). Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems. IEEE Transactions on Fuzzy Systems, 23(4), 1259–1273.
LibreCat
 
[129]
2014 | Conference Paper | LibreCat-ID: 10254
Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France. In Proceedings, Parts I-III. Lecture Notes in Computer Science (pp. 8724–8726). Springer.
LibreCat
 
[128]
2014 | Conference Paper | LibreCat-ID: 10247
Busa-Fekete, R., Szörényi, B., & Hüllermeier, E. (2014). PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences. In Proceedings AAAI 2014, Quebec, Canada (pp. 1701–1707).
LibreCat
 
[127]
2014 | Journal Article | LibreCat-ID: 10297
Hoffmann, F., Hüllermeier, E., & Kroll, A. (2014). Ausgewählte Beiträge des GMA-Fachausschusses 5.14. Computational Intelligence Automatisierungstechnik, 62(10), 685–686.
LibreCat
 
[126]
2014 | Journal Article | LibreCat-ID: 10312
Mernberger, M., Moog, M., Stork, S., Zauner, S., Maier, U. G., & Hüllermeier, E. (2014). Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances. J. Bioinformatics and Computational Biology, 12(1).
LibreCat
 
[125]
2014 | Journal Article | LibreCat-ID: 10317
Krotzky, T., Fober, T., Hüllermeier, E., & Klebe, G. (2014). Extended Graph-Based Models for Enhanced Similarity Search in Cavbase. IEEE/ACM Trans. Comput. Biology Bioinform., 11(5), 878–890.
LibreCat
 
[124]
2014 | Conference Paper | LibreCat-ID: 10248
Busa-Fekete, R., & Hüllermeier, E. (2014). A Survey of Preference-Based Online Learning with Bandit Algorithms. In Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia (pp. 18–39).
LibreCat
 
[123]
2014 | Conference Paper | LibreCat-ID: 10250
Fallah Tehrani, A., Strickert, M., & Hüllermeier, E. (2014). The Choquet kernel for monotone data. In Proceedings ESANN , Bruges, Belgium.
LibreCat
 
[122]
2014 | Journal Article | LibreCat-ID: 10298
Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Data Min. Knowledge Discovery, 28(5–6), 1129–1133.
LibreCat
 
[121]
2014 | Journal Article | LibreCat-ID: 10318
Stock, M., Fober, T., Hüllermeier, E., Glinca, S., Klebe, G., Pahikkala, T., … Wageman, W. (2014). Identification of Functionally Releated Enzymes by Learning to Rank Methods. IEEE/ACM Trans. Comput. Biology Bioinform., 11(6), 1157–1169.
LibreCat
 
[120]
2014 | Journal Article | LibreCat-ID: 10313
Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Machine Learning, 97(1–2), 1–3.
LibreCat
 
[119]
2014 | Conference Paper | LibreCat-ID: 10251
Abdel-Aziz, A., Strickert, M., & Hüllermeier, E. (2014). Learning Solution Similarity in Preference-Based CBR. In Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland (pp. 17–31).
LibreCat
 
[118]
2014 | Conference Paper | LibreCat-ID: 10249
Henzgen, S., & Hüllermeier, E. (2014). Mining Rank Data. In Proceedings Discovery Science, Bled,Slovenia (pp. 123–134).
LibreCat
 
[117]
2014 | Journal Article | LibreCat-ID: 10299
Henzgen, S., Strickert, M., & Hüllermeier, E. (2014). Visualization of evolving fuzzy rule-based systems. Evolving Systems, 5(3), 175–191.
LibreCat
 
[116]
2014 | Journal Article | LibreCat-ID: 10314
Busa-Fekete, R., Szörényi, B., Weng, P., Cheng, W., & Hüllermeier, E. (2014). Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm. Machine Learning, 97(3), 327–351.
LibreCat
 
[115]
2014 | Conference Paper | LibreCat-ID: 10295
Fürnkranz, J., Hüllermeier, E., Rudin, C., Slowinski, R., & Sanner, S. (2014). Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports (Vol. 4, pp. 1–27).
LibreCat
 
[114]
2014 | Journal Article | LibreCat-ID: 10308
Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int. J. Approx. Reasoning, 55(7), 1519–1534.
LibreCat
 
[113]
2014 | Journal Article | LibreCat-ID: 10315
Montanés, E., Senge, R., Barranquero, J., Quevedo, J. R., Del Coz, J. J., & Hüllermeier, E. (2014). Dependent binary relevance models for multi-label classification. Pattern Recognition, 47(3), 1494–1508.
LibreCat
 
[112]
2014 | Journal Article | LibreCat-ID: 10310
Strickert, M., Bunte, K., Schleif, F.-M., & Hüllermeier, E. (2014). Correlation-based embedding of pairwise score data. Neurocomputing, 141, 97–109.
LibreCat
 
[111]
2014 | Conference Paper | LibreCat-ID: 10253
Schäfer, D., & Hüllermeier, E. (2014). Dyad Ranking Using A Bilinear Plackett-Luce Model. In Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany (pp. 32–33).
LibreCat
 
[110]
2014 | Journal Article | LibreCat-ID: 10309
Hüllermeier, E. (2014). Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int. J. Approx. Reasoning, 55(7), 1609–1613.
LibreCat
 
[109]
2014 | Journal Article | LibreCat-ID: 10311
Senge, R., Bösner, S., Dembczynski, K., Haasenritter, J., Hirsch, O., Donner-Banzhoff, N., & Hüllermeier, E. (2014). Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences, 255, 16–29.
LibreCat
 
[108]
2014 | Journal Article | LibreCat-ID: 10316
Krempl, G., Zliobaite, I., Brzezinski, D., Hüllermeier, E., Last, M., Lemaire, V., … Stefanowski, J. (2014). Open challenges for data stream mining research. SIGKDD Explorations, 16(1), 1–10.
LibreCat
 
[107]
2014 | Journal Article | LibreCat-ID: 10296
Shaker, A., & Hüllermeier, E. (2014). Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. Applied Mathematics and Computer Science, 24(1), 199–212.
LibreCat
 
[106]
2013 | Conference Paper | LibreCat-ID: 13119
Henzgen, S., Strickert, M., & Hüllermeier, E. (2013). Rule chains for visualizing evolving fuzzy rule-based systems. In R. Burduk, K. Jackowski, M. Kurzynski, M. Wozniak, & A. Zolnierek (Eds.), in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland (pp. 279–288). Springer.
LibreCat
 
[105]
2013 | Conference Paper | LibreCat-ID: 13190
Shaker, A., & Hüllermeier, E. (2013). Recovery analysis for adaptive learning from non-stationary data streams. In R. Burduk, K. Jackowski, M. Kurzynski, W. Wozniak, & A. Zolnierek (Eds.), in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland (pp. 289–298). Springer.
LibreCat
 
[104]
2013 | Conference Paper | LibreCat-ID: 13115
Szarvas, G., Busa-Fekete, R., & Hüllermeier, E. (2013). Learning to rank lexical substitutions. In In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA.
LibreCat
 
[103]
2013 | Conference Paper | LibreCat-ID: 13116
Dembczynski, K., Jachnik, A., Kotlowski, W., Waegeman, W., & Hüllermeier, E. (2013). Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization. In S. Dasgupta & D. McAllester (Eds.), in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA (pp. 1130–1138).
LibreCat
 
[102]
2013 | Conference Paper | LibreCat-ID: 15112
Fallah Tehrani, A., & Hüllermeier, E. (2013). Ordinal Choquistic regression . In J. Montero, G. Pasi, & D. Ciucci (Eds.), in Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy. Atlantis Press.
LibreCat
 
[101]
2013 | Conference Paper | LibreCat-ID: 13117
Busa-Fekete, R., Szoreny, B., Weng, P., Cheng, W., & Hüllermeier, E. (2013). Top-k selection based on adaptive sampling of noisy preferences. In S. Dasgupta & D. McAllester (Eds.), in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA (pp. 1094–1102).
LibreCat
 
[100]
2013 | Conference Paper | LibreCat-ID: 15113
Nasiri, N., Fober, T., Senge, R., & Hüllermeier, E. (2013). 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 (pp. 715–721).
LibreCat
 
[99]
2013 | Conference Paper | LibreCat-ID: 13118
Hüllermeier, E., & Cheng, W. (2013). Preference-based CBR: General ideas and basic principles. In F. Rossi (Ed.), in Proceedings IJCAI-13, 23rd international Joint Conference on Artificial Intelligence, Beijing, China (pp. 3012–3016). AAAI Press.
LibreCat
 
[98]
2012 | Conference Paper | LibreCat-ID: 13191
Cheng, W., & Hüllermeier, E. (2012). 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.
LibreCat
 
[97]
2012 | Conference Paper | LibreCat-ID: 13192
Dembczynski, K., Kotlowski, W., & Hüllermeier, E. (2012). Consistent multilabel ranking through univariate loss minimization. In J. Langford & J. Pineau (Eds.), in Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland.
LibreCat
 
[96]
2012 | Conference Paper | LibreCat-ID: 15299
Leinweber, M., Baumgärtner, L., Mernberger, M., Fober, T., Hüllermeier, E., Klebe, G., & Freisleben, B. (2012). 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.
LibreCat
 
[95]
2012 | Conference Paper | LibreCat-ID: 13193
Dembczynski, K., Waegeman, W., & Hüllermeier, E. (2012). An analysis of chaining in multi-label classification. In In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France (pp. 294–299). IOS Press.
LibreCat
 
[94]
2012 | Conference Paper | LibreCat-ID: 13120
Cheng, W., Hüllermeier, E., Waegeman, W., & Welker, V. (2012). 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.
LibreCat
 
[93]
2012 | Conference Paper | LibreCat-ID: 15114
Hüllermeier, E., & Fallah Tehrani, A. (2012). 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.
LibreCat
 
[92]
2011 | Conference Paper | LibreCat-ID: 13195
Cheng, W., Fuernkranz, J., Hüllermeier, E., & Park, S. H. (2011). Preference-based policy iteration: Leveraging preference learning for reinforcement learning. In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, .
LibreCat
 
[91]
2011 | Conference Paper | LibreCat-ID: 15115
Nasiri, M., Hüllermeier, E., Senge, R., & Lughofer, E. (2011). 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 (p. RW-103-1-6).
LibreCat
 
[90]
2011 | Conference Paper | LibreCat-ID: 13196
Fürnkranz, J., & Hüllermeier, E. (2011). Learning from label preferences. In T. Elomaa, J. Hollmen, & H. Mannila (Eds.), in Proceedings DS-2011, 14th International  Conference on Discovery Science, number 6926 in LNAI (pp. 2–17). Springer.
LibreCat
 
[89]
2011 | Conference Paper | LibreCat-ID: 13588
Kotlowski, W., Dembczynski, K., & Hüllermeier, E. (2011). Bipartite ranking through minimization of univariate loss. In in Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA.
LibreCat
 
[88]
2011 | Conference Paper | LibreCat-ID: 15116
Lughofer, E., & Hüllermeier, E. (2011). On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure. In S. Galichet, J. Montero, & G. Mauris (Eds.), in Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-les-Bains, France (pp. 380–387).
LibreCat
 
[87]
2011 | Conference Paper | LibreCat-ID: 13197
Fallah Tehrani, A., Cheng, W., Dembczynski, K., & Hüllermeier, E. (2011). Learning  monotone nonlinear models using the Choquet integral. In In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece,.
LibreCat
 
[86]
2011 | Conference Paper | LibreCat-ID: 15117
Fallah Tehrani, A., Cheng, W., & Hüllermeier, E. (2011). 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 (pp. 868–875).
LibreCat
 
[85]
2011 | Conference Paper | LibreCat-ID: 13198
Hüllermeier, E., & Schlegel, P. (2011). Preference-based CBR: First steps toward a methodological framework. In A. Ram & N. Wiratunga (Eds.), In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, number 6880 in LNAI (pp. 77–91). Springer.
LibreCat
 
[84]
2011 | Conference Paper | LibreCat-ID: 13194
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2011). An exact algorithm for F-measure maximization. In In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain.
LibreCat
 
[83]
2010 | Conference Paper | LibreCat-ID: 13594
Cheng, W., Rademaker, M., De Beats, B., & Hüllermeier, E. (2010). Predicting partial orders: Ranking with abstention. In In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain.
LibreCat
 
[82]
2010 | Conference Paper | LibreCat-ID: 13590
Cheng, W., Dembczynski, K., & Hüllermeier, E. (2010). Label ranking based on the Plackett-Luce model. In J. Fürnkranz & T. Joachims (Eds.), in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel (pp. 215–222).
LibreCat
 
[81]
2010 | Conference Paper | LibreCat-ID: 13589
Dembczynski, K., Cheng, W., & Hüllermeier, E. (2010). Bayes optimal multilabel classification via probalistic classifier chains. In J. Fürnkranz & T. Joachims (Eds.), in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel (pp. 279–286).
LibreCat
 
[80]
2010 | Conference Paper | LibreCat-ID: 13591
Cheng, W., Dembczynski, K., & Hüllermeier, E. (2010). Graded multi-label classification: The ordinal case. In J. Fürnkranz & T. Joachims (Eds.), in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel.
LibreCat
 
[79]
2010 | Conference Paper | LibreCat-ID: 13597
Hüllermeier, E. (2010). Uncertainty in clustering and classification . In in Proceedings SUM 2010, International Conference on Scalable Uncertainty Management (Vol. 6379, pp. 16–19). Springer.
LibreCat
 
[78]
2010 | Conference Paper | LibreCat-ID: 15118
Fober, T., & Hüllermeier, E. (2010). Similarity measures for protein structures based on fuzzy histogram comparison. In in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain.
LibreCat
 
[77]
2010 | Conference Paper | LibreCat-ID: 13593
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2010). Regret analysis for performance metrics in multi-label classification: The case of Hamming and subset zero-one loss. In In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain.
LibreCat
 
[76]
2010 | Conference Paper | LibreCat-ID: 15119
Senge, R., & Hüllermeier, E. (2010). Pattern trees for regression and fuzzy systems modeling. In in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain.
LibreCat
 
[75]
2009 | Conference Paper | LibreCat-ID: 15196
Hüllermeier, E., & Rifqi, M. (2009). A fuzzy variant of the Rand index for comparing clustering structures. In in Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal (pp. 1294–1298).
LibreCat
 
[74]
2009 | Conference Paper | LibreCat-ID: 13595
Cheng, W., Hühn, J., & Hüllermeier, E. (2009). Decision tree and instance-based learning for label ranking. In in Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada (pp. 161–168).
LibreCat
 
[73]
2009 | Conference Paper | LibreCat-ID: 13596
Fürnkranz, J., Hüllermeier, E., & Vanderlooy, S. (2009). Binary decomposition methods for multipartite ranking. In In Proceedings ECML/PKDD-2009, European Conference on Machine Learning and Principles and Knowledge Discovery in Databases, Bled Sloveniaery in Databases, Bled, Slovenia.
LibreCat
 
[72]
2009 | Conference Paper | LibreCat-ID: 15120
Fober, T., Klebe, G., & Hüllermeier, E. (2009). Efficient construction of multiple geometrical alignments for the comparison of protein binding sites. In in Proceedings ISDA-2009, 9th international Conference on Intelligent Systems Design and Applications, Pisa, Italy (pp. 1251–1256).
LibreCat
 
[71]
2009 | Conference Paper | LibreCat-ID: 13598
Cheng, W., & Hüllermeier, E. (2009). A new instance-based label ranking approach using the Mallows model. In Advances in Neural Networks. In in Proceedings 6th International Symposium on Neural Networks, Wuhan, China (pp. 707–716). Springer.
LibreCat
 
[70]
2009 | Conference Paper | LibreCat-ID: 15195
Fober, T., & Hüllermeier, E. (2009). Fuzzy modeling of labeled point cloud superposition  for the comparison of protein binding sites. In in Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal (pp. 1299–1304).
LibreCat
 
[69]
2008 | Conference Paper | LibreCat-ID: 13599
Hüllermeier, E., Vladimirskiy, I., Prados Suarez, B., & Stauch, E. (2008). Supporting case-based retrieval by similarity skylines: Basic concepts and extensions. In K. D. Althoff, R. Bergmann, M. Minor, & A. Hanft (Eds.), in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany (pp. 240–254).
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[68]
2008 | Conference Paper | LibreCat-ID: 13600
Cheng, W., & Hüllermeier, E. (2008). Learning similarity functions from qualitative feedback. In K. D. Althoff, R. Bergmann, M. Minor, & A. Hanft (Eds.), in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany (pp. 120–134). Springer.
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[67]
2007 | Conference Paper | LibreCat-ID: 14833
Brinker, K., & Hüllermeier, E. (2007). Label ranking in case-based reasoning. In M. Richter & R. Weber (Eds.), In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland (Vol. 4626, pp. 77–91). Springer.
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[66]
2007 | Conference Paper | LibreCat-ID: 14834
Beringer, J., & Hüllermeier, E. (2007). Efficient instance-based learning on data streams. In P. Perner (Ed.), In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig (pp. 34–48). Springer.
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[65]
2007 | Conference Paper | LibreCat-ID: 15197
Hüllermeier, E., & Brinker, K. (2007). Fuzzy-relational classificaton : Combining pairwise decomposition techniques with fuzzy preference modeling. In in Proceedings EUSFLAT-2007 5th International Conference on the European Society for Fuzzy Logic and Technology, Ostrava, Czech Republic (Vol. 1, pp. 353–360).
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[64]
2007 | Conference Paper | LibreCat-ID: 14835
Brinker, K., & Hüllermeier, E. (2007). Case-based multilabel ranking. In in Proceedings IJCAI-07, 20th international Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007 (pp. 701–707).
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[63]
2007 | Conference Paper | LibreCat-ID: 15198
Beringer, J., & Hüllermeier, E. (2007). Adaptive optimization of the number of clusters in fuzzy clustering, London 2007. In in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems.
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[62]
2007 | Conference Paper | LibreCat-ID: 15199
Hüllermeier, E., Weskamp, N., Klebe, G., & Kuhn, D. (2007). Graph alignment: Fuzzy pattern mining for the structural analysis of protein active sites. In in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London.
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[61]
2007 | Conference Paper | LibreCat-ID: 13601
Sulzmann, J. N., Fürnkranz, J., & Hüllermeier, E. (2007). On pairwise Naive Bayes classifiers. In In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland. Springer.
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[60]
2007 | Conference Paper | LibreCat-ID: 14832
Hüllermeier, E., & Fürnkranz, J. (2007). On minimizing the position error in label ranking. In In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007. Springer.
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[59]
2006 | Conference Paper | LibreCat-ID: 14838
Brinker, K., Fuernkranz, J., & Hüllermeier, E. (2006). A unified model for multilabel classification and ranking. In G. Brewka, S. Coradeschi, A. Perini, & P. Traverso (Eds.), In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva del Garda, Italy (pp. 489–493).
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[58]
2006 | Conference Paper | LibreCat-ID: 15201
Hüllermeier, E. (2006). Integrating instance-based learning and logistic regression. In In Proceedings IPMU-2006 11th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, France.
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[57]
2006 | Conference Paper | LibreCat-ID: 15213
Hüllermeier, E. (2006). The Choquet integral as an aggregation operator in case-based learning. In B. Reusch (Ed.), in Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund (pp. 615–628). Springer.
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[56]
2006 | Conference Paper | LibreCat-ID: 14836
Bade, K., Hüllermeier, E., & Nürnberger, A. (2006). Hierarchical classification by expected utility maximization. In In Proceedings ICDM-2006, IEEE International Conference on Data Mining (pp. 43–52). IEEE Computer Society Press.
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[55]
2006 | Conference Paper | LibreCat-ID: 14837
Brinker, K., & Hüllermeier, E. (2006). Case-based label ranking. In In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006 (pp. 566–573). Springer.
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[54]
2005 | Conference Paper | LibreCat-ID: 14840
Hüllermeier, E., & Fürnkranz, J. (2005). Learning label preferences: Ranking error versus position error. In A. Famili, J. Kok, J. Pena, A. Siebes, & A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid (Vol. 3646, pp. 180–191). Springer.
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[53]
2005 | Conference Paper | LibreCat-ID: 15216
Yi, Y., & Hüllermeier, E. (2005). Learning complexity-boundet rule-based classifiers by combining association analysis and genetic algorithms. In in Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology,  Barcelona, Spain.
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[52]
2005 | Conference Paper | LibreCat-ID: 14841
Hüllermeier, E., & Beringer, J. (2005). Learning from ambiguously labeled examples. In A. Famili, J. Kok, J. Pena, A. Siebes, & A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid (Vol. 3646, pp. 168–179). Springer.
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[51]
2005 | Conference Paper | LibreCat-ID: 14839
Hüllermeier, E., & NN, C. (2005). A method for combining interacting pieces of evidence in case-based learning. In L. Kaelbling & A. Saffiotti (Eds.), in Proceedings IJCAI-05, 19th international Joint Conference on Artificial Intelligence, Edingburgh, Scotland (pp. 3–8).
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[50]
2005 | Conference Paper | LibreCat-ID: 15105
Dubois, D., & Hüllermeier, E. (2005). A notion of comarative probabilistic entroy based on the possibilistic specificity ordering. In in Proceedings ECSQARU-2005, 8th European Conference of Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Barcelona, Spain.
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[49]
2005 | Conference Paper | LibreCat-ID: 15214
Karimi, I., & Hüllermeier, E. (2005). A fuzzy-probablistic risk assessment system for natural disasters. In in Proceedings IFSA-2005, 11th  World Congress of the International Fuzzy System Association, Beijing, China (pp. 1147–1153).
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[48]
2005 | Conference Paper | LibreCat-ID: 15215
Lughofer, E., Hüllermeier, E., & Klement, E. (2005). Improving the interpretability of data-driven evolving fuzzy systems. In in Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology, Barcelona, Spain.
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[47]
2004 | Conference Paper | LibreCat-ID: 15217
Hüllermeier, E., & Fürnkranz, J. (2004). Comparison of ranking procedures in pairwise preference learning. In In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy.
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[46]
2004 | Conference Paper | LibreCat-ID: 14842
Hüllermeier, E. (2004). Instance-based prediction with guaranteed confidence. In R. Lopez de Mantaras & L. Saitta (Eds.), In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain (pp. 97–101). IOS Press.
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[45]
2004 | Conference Paper | LibreCat-ID: 15218
Hüllermeier, E., & Fürnkranz, J. (2004). Ranking by pairwise comparison: A note on risk minimization. In in Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems, Budapest, Hungary.
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[44]
2004 | Conference Paper | LibreCat-ID: 15220
Hüllermeier, E., & Beringer, J. (2004). Learning decision rules from positive and negative preferences. In In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy.
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[43]
2004 | Conference Paper | LibreCat-ID: 15219
Karimi, I., Hüllermeier, E., & Meskouris, K. (2004). An earthquake risk assessment method based on fuzzy probability. In in Proceedings 6th International FLINS Conference on Applied  Computational Intelligence, Duinse Polders, Blankenberg,Belgien.
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[42]
2003 | Conference Paper | LibreCat-ID: 15223
Hüllermeier, E. (2003). Inducing fuzzy concepts through extended version space learning. In T. Bilgic, B. De Beats, & O. Kaynak (Eds.), in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey (Vol. 2715, pp. 648–677). Springer.
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[41]
2003 | Conference Paper | LibreCat-ID: 15065
Hüllermeier, E. (2003). Regularized learning with flexible constraints. In M. R. Berthold, H. J. Lenz, E. Bradley, R. Kruse, & C. Borgelt (Eds.), In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis (Vol. 2810). Springer.
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[40]
2003 | Conference Paper | LibreCat-ID: 15066
Fürnkranz, J., & Hüllermeier, E. (2003). Pairwise preference learning and ranking. In In Proceedings ECML-2003, 13 th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia. Springer.
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[39]
2003 | Conference Paper | LibreCat-ID: 15221
Hüllermeier, E. (2003). Instance-based collaborative filtering with fuzzy labels. In in Proceedings EUSFLAT-2003 3th International Conference on the European Society for Fuzzy Logic and Technology, Zittlau, Germany (pp. 468–473).
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[38]
2003 | Conference Paper | LibreCat-ID: 15222
Dubois, D., Hüllermeier, E., & Prade, H. (2003). A note on quality measures for fuzzy association rules. In T. Bilgic, B. De Beats, & O. Kaynak (Eds.), in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey (Vol. 2715, pp. 648–677). Springer.
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[37]
2002 | Conference Paper | LibreCat-ID: 15064
De Calmès, M., Dubois, D., Hüllermeier, E., Prade, H., & Sèdes, F. (2002). A fuzzy set approach to flexible case-based querying: methodology and experimentation. In D. Fensel, F. Giunchiglia, D. Mc Guinness, & M. A. Williams (Eds.), in Proceedings KR-02, 8th International Conference on Principles of Knowledge Representation and Reasoning, France (pp. 449–458). Morgan Kaufmann.
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[36]
2002 | Conference Paper | LibreCat-ID: 15228
De Calmès, M., Dubois, D., Hüllermeier, E., Prade, H., & Sèdes, F. (2002). Case-based quering and prediction: A fuzzy set approach. In in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii (pp. 735–740).
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[35]
2002 | Conference Paper | LibreCat-ID: 14843
Hüllermeier, E. (2002). On the representation and combination of evidence in instance-based learning. In In Proceedings ECAI-2002, 15th European Conference on Artificial Intelligence, Lyon, France (pp. 360–364). IOS Press.
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[34]
2002 | Conference Paper | LibreCat-ID: 15098
Hüllermeier, E. (2002). Association rules for expressing gradual dependencies. In in Proceedings PKDD-02  6th European Conference on Principles and Practise of Knowledge Discovery in Databases, Helsinki, Finland (pp. 200–211). Springer.
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[33]
2002 | Conference Paper | LibreCat-ID: 15101
Hüllermeier, E. (2002). Possibilistic induction in decision tree learning. In in Proceedings ECML-02, 13th European Conference on Machine Learning, Helsinki Finland (pp. 173–184). Springer.
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[32]
2002 | Conference Paper | LibreCat-ID: 15226
Hüllermeier, E. (2002). Mining implication-based fuzzy association rules in databases. In In Proceedings IPMU-2002 9th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems,Annecy, France (pp. 101–108).
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[31]
2002 | Conference Paper | LibreCat-ID: 15227
Hüllermeier, E. (2002). Exploiting similarity and experience in decision making. In in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii (pp. 729–734).
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[30]
2001 | Conference Paper | LibreCat-ID: 15230
Dubois, D., Hüllermeier, E., & Prade, H. (2001). Toward the representation of implication-based fuzzy rules in terms of crisp rules. In in Proceedings IFSA/NAFIPS-2001  Joint 9th World Congress of the International Fuzzy Systems Association and 20th Internatinonal Conference of the North American Fuzzy Information Processing Society, Vancouver, Canada (pp. 1592–1597).
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[29]
2001 | Conference Paper | LibreCat-ID: 15300
Hüllermeier, E. (2001). Experience-based decision making and learning from examples. In In Proceedings SOR-01 Symposium on Operations Research, Duisburg, Germany. Springer.
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[28]
2001 | Conference Paper | LibreCat-ID: 15229
Hüllermeier, E. (2001). Fuzzy association rules: Semantic issues and quality measures. In B. Reusch (Ed.), in Proceedings of the International Conference on Computational Intelligence 7th Fuzzy Days, Dortmund, Germany (Vol. 2206, pp. 380–391). Springer.
LibreCat
 
[27]
2001 | Conference Paper | LibreCat-ID: 15106
Hüllermeier, E. (2001). Implication-based fuzzy association rules. In D. Raedt & A. Siebes (Eds.), in Proceedings PKDD-01  5th European Conference on Principles and Practise of Knowledge Discovery in Databases, Freiburg, Germany (Vol. 2168, pp. 241–252). Springer.
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[26]
2000 | Conference Paper | LibreCat-ID: 14845
Hüllermeier, E. (2000). Focusing search by using problem solving experience. In W. Horn (Ed.), In Proceedings ECAI-2000, 14th European Conference on Artificial Inteligence, Berlin, Germany (pp. 55–59). IOS Press.
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[25]
2000 | Conference Paper | LibreCat-ID: 15108
Hüllermeier, E. (2000). A method for predicting solutions in case-based problem solving. In E. Blanzieri & L. Portinale (Eds.), in Proceedings EWCBR-2000, 5th European Workshop on Case-Based Reasoning, Trento, Italy (pp. 124–135). Springer.
LibreCat
 
[24]
2000 | Conference Paper | LibreCat-ID: 15109
Dubois, D., Hüllermeier, E., & Prade, H. (2000). Flexible control of case-based prediction in the framework of possibility theory. In E. Blanzieri & L. Portinale (Eds.), in Proceedings EWCBR-2000, 5th European Workshop on Case-Based Reasoning, Trento, Italy (pp. 61–73). Springer.
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[23]
2000 | Conference Paper | LibreCat-ID: 15231
Hüllermeier, E., Dubois, D., & Prade, H. (2000). Knowledge-based extrapolution of cases: A possibilistic approach. In In Proceedings IPMU-2000 8th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Madrid, Spain (pp. 1575–1582).
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[22]
2000 | Conference Paper | LibreCat-ID: 15301
Hüllermeier, E. (2000). Fuzzy dynamics: Methodological framework and applications of compartmental modeling. In D. M. Dubois (Ed.), in Proceedings CASYS-2000, 4th International Conference on Computing Anticipatory Systems Liège, Belgium.
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[21]
2000 | Conference Paper | LibreCat-ID: 15302
Gueroguieva, I., Nestorov, I., Rowland, M., & Hüllermeier, E. (2000). In vitro-in vivo hepatic clearance prediction using fuzzy sets. In in Proceedings EUFEPS-2000, 6th European Congress of Pharmaceutical Sciences, Supplement 1 (Vol. 11, p. S22). European Journal of Pharmaceutical Sciences.
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[20]
2000 | Conference Paper | LibreCat-ID: 14844
Hüllermeier, E. (2000). Similarity-based inference as evidential reasoning. In W. Horn (Ed.), In Proceedings ECAI-2000, 14th European Conference on Artificial Inteligence, Berlin, Germany (pp. 50–54). IOS Press.
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[19]
2000 | Conference Paper | LibreCat-ID: 15063
Hüllermeier, E. (2000). Change detection in heuristic search. In Proceedings AAAI 2000, 17th National Conference on Artificial Intelligence, Austin, Texas (pp. 898–903).
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[18]
1999 | Conference Paper | LibreCat-ID: 15232
Hüllermeier, E., Dubois, D., & Prade, H. (1999). Extensions of a qualitative approach to case-based decision making: Unvertainty and fuzzy quantification in act evaluation. In H. J. Zimmermann (Ed.), in Proceedings EUFIT-99 7th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany.
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[17]
1999 | Conference Paper | LibreCat-ID: 15062
Hüllermeier, E. (1999). Toward a probabilistic formalization of case-based inference. In T. Dean (Ed.), in Proceedings IJCAI-99, 16th international Joint Conference on Artificial Intelligence, Stockholm, Sweden (pp. 248–253). Morgan Kaufmann.
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[16]
1999 | Conference Paper | LibreCat-ID: 15233
Hüllermeier, E. (1999). Toward models of case-based decision making. In H. J. Zimmermann (Ed.), in Proceedings EUFIT-99 7th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany.
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[15]
1999 | Conference Paper | LibreCat-ID: 15107
Hüllermeier, E. (1999). Exploiting similarity for supporting data analysis and problem solving. In D. J. Hand, J. N. Kok, & M. R. Berthold (Eds.), In Proceedings IDA-1999, 3th International Symposium on Intelligent Data Analysis, Amsterdam, Netherlands (Vol. 1642, pp. 257–268). Springer.
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[14]
1999 | Conference Paper | LibreCat-ID: 15234
Hüllermeier, E. (1999). A possibilistic formalization of case-based reasoning and decision making. In B. Reusch (Ed.), in Proceedings of the 6th International Conference on Computational Intelligence, Dortmund, Germany (Vol. 1625, pp. 411–420). Springer.
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[13]
1998 | Conference Paper | LibreCat-ID: 15287
Hüllermeier, E. (1998). Fuzzy dynamics of compartmental systems. In H. J. Zimmermann (Ed.), in Proceedings EUFIT-98 6th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany.
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[12]
1998 | Conference Paper | LibreCat-ID: 15288
Hüllermeier, E., & Giersch, C. (1998). Fuzzy sets and modelling of uncertainty in biological systems. In In Proceedings IPMU-98 7th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, La Sorbonne (pp. 1857–1864). Editions E.D.K.
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[11]
1998 | Conference Paper | LibreCat-ID: 15303
Hüllermeier, E. (1998). Numerical solutions for fuzzy initial value problems. In P. Borne, M. Ksouri, & A. El Kamel (Eds.), in Proceedings CESA-98, IMACS Multiconference on Computaional Engineering in Systems Applications, Symposium on Applied Mathematics and Optimization, Nabeul-Hammamet, Tunesia.
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[10]
1998 | Conference Paper | LibreCat-ID: 15289
Hüllermeier, E. (1998). A Bayesian approach to case-based probalistic reasoning. In In Proceedings IPMU-98 7th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, La Sorbonne (pp. 1296–1303). Editions E.D.K.
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[9]
1997 | Conference Paper | LibreCat-ID: 15290
Hüllermeier, E. (1997). Hierarchical  propagation of uncertain constraints. In H. J. Zimmermann (Ed.), in Proceedings EUFIT-97 5th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany (pp. 953–957).
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[8]
1997 | Conference Paper | LibreCat-ID: 15291
Hüllermeier, E. (1997). Approximation of fuzzy functions. In A. Grauel, W. Becker, & F. Belli (Eds.), in Proceedings 4.Internationaler Workshop Fuzzy-Neuro-Systeme. Soest Germany (pp. 374–381).
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[7]
1996 | Conference Paper | LibreCat-ID: 15292
Hüllermeier, E. (1996). Approminate probabilistic reasoning with fuzzy constraints. In H. J. Zimmermann (Ed.), in Proceedings EUFIT-96 4th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany.
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[6]
1996 | Conference Paper | LibreCat-ID: 15293
Hüllermeier, E. (1996). A fuzzy simulation method. In P. G. Anderson & K. Warwick (Eds.), International Symposium on Soft Computing, Reading U.K. (pp. B230–B236). ICSC Academic Press.
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[5]
1996 | Conference Paper | LibreCat-ID: 15304
Hüllermeier, E. (1996). Hierarchical constraint propagation based on interval arithmetic. In in Proceedings Interval-96 international Conference on Interval Methods and Computer Aided Proofs in Science and Engineering, Würzburg (pp. 54–55).
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[4]
1995 | Conference Paper | LibreCat-ID: 15305
Hüllermeier, E. (1995). Fuzzy polynomial and spline interpolation. In in Proceedings IMACS Symposium on Systems Analysis and Simulation, Berlin (pp. 401–404). Gordon and Breach Publishers.
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[3]
1995 | Conference Paper | LibreCat-ID: 15294
Hüllermeier, E. (1995). Towards modelling of fuzzy functions. In H. J. Zimmermann (Ed.), in Proceedings EUFIT-95 3rd European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany (pp. 150–154).
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[2]
1995 | Conference Paper | LibreCat-ID: 15295
Hüllermeier, E. (1995). Rule-based modelling in fuzzy simulation. In in Proceedings ISFL-95 International Symposium on Logic, Zürich (pp. B49–B56). ICSC Academic Press.
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[1]
1994 | Conference Paper | LibreCat-ID: 15296
Hüllermeier, E. (1994). Approximate solution of a linear programming problem using a modified perceptron-algorithm. In H. J. Zimmermann (Ed.), in Proceedings EUFIT-94 2nd European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany (pp. 195–199).
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[234]
2019 | Journal Article | LibreCat-ID: 15002
Waegeman, W., Dembczynski, K., & Hüllermeier, E. (2019). Multi-target prediction: a unifying view on problems and methods. Data Mining and Knowledge Discovery, 33(2), 293–324. https://doi.org/10.1007/s10618-018-0595-5
LibreCat | DOI
 
[233]
2019 | Conference Paper | LibreCat-ID: 15007
Melnikov, V., & Hüllermeier, E. (2019). Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. In Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101). https://doi.org/10.1016/j.jmva.2019.02.017
LibreCat | DOI
 
[232]
2019 | Conference Paper | LibreCat-ID: 15014
Hüllermeier, E., Couso, I., & Diestercke, S. (2019). Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants. In Proceedings SUM 2019, International Conference on Scalable Uncertainty Management.
LibreCat
 
[231]
2019 | Conference Paper | LibreCat-ID: 15003
Mortier, T., Wydmuch, M., Dembczynski, K., Hüllermeier, E., & Waegeman, W. (2019). Set-Valued Prediction in Multi-Class Classification. In Proceedings of the 31st Benelux Conference on Artificial Intelligence {(BNAIC} 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019.
LibreCat
 
[230]
2019 | Journal Article | LibreCat-ID: 15015
Henzgen, S., & Hüllermeier, E. (2019). Mining Rank Data. ACM Transactions on Knowledge Discovery from Data, 1–36. https://doi.org/10.1145/3363572
LibreCat | DOI
 
[229]
2019 | Conference Paper | LibreCat-ID: 10232
Wever, M. D., Mohr, F., Tornede, A., & Hüllermeier, E. (2019). Automating Multi-Label Classification Extending ML-Plan. Presented at the 6th ICML Workshop on Automated Machine Learning (AutoML 2019), Long Beach, CA, USA.
LibreCat | Files available
 
[228]
2019 | Book Chapter | LibreCat-ID: 15004
Ahmadi Fahandar, M., & Hüllermeier, E. (2019). Feature Selection for Analogy-Based Learning to Rank. In Discovery Science. Cham. https://doi.org/10.1007/978-3-030-33778-0_22
LibreCat | DOI
 
[227]
2019 | Conference Paper | LibreCat-ID: 15011
Tornede, A., Wever, M. D., & Hüllermeier, E. (2019). Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. In F. Hoffmann, E. Hüllermeier, & R. Mikut (Eds.), Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019 (pp. 135–146). Dortmund: KIT Scientific Publishing, Karlsruhe.
LibreCat
 
[226]
2019 | Journal Article | LibreCat-ID: 10578
Tagne, V. K., Fotso, S., Fono, L. A., & Hüllermeier, E. (2019). Choice Functions Generated by Mallows and Plackett–Luce Relations. New Mathematics and Natural Computation, 15(2), 191–213.
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[225]
2019 | Conference Abstract | LibreCat-ID: 8956
Hetzer, A., Wever, M. D., Mohr, F., & Hüllermeier, E. (2019). Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. Presented at the European Conference on Data Analysis (ECDA), Bayreuth, Germany.
LibreCat | Files available
 
[224]
2019 | Book Chapter | LibreCat-ID: 15005
Ahmadi Fahandar, M., & Hüllermeier, E. (2019). Analogy-Based Preference Learning with Kernels. In KI 2019: Advances in Artificial Intelligence. Cham. https://doi.org/10.1007/978-3-030-30179-8_3
LibreCat | DOI
 
[223]
2019 | Conference Abstract | LibreCat-ID: 8868
Wever, M. D., Mohr, F., Hüllermeier, E., & Hetzer, A. (2019). Towards Automated Machine Learning for Multi-Label Classification. Presented at the European Conference on Data Analytics (ECDA), Bayreuth, Germany.
LibreCat | Files available
 
[222]
2019 | Conference Abstract | LibreCat-ID: 13132
Mohr, F., Wever, M. D., Tornede, A., & Hüllermeier, E. (2019). From Automated to On-The-Fly Machine Learning. In INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (pp. 273–274). Bonn: Gesellschaft für Informatik e.V.
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[221]
2019 | Journal Article | LibreCat-ID: 15001
Couso, I., Borgelt, C., Hüllermeier, E., & Kruse, R. (2019). Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning. IEEE Computational Intelligence Magazine, 31–44. https://doi.org/10.1109/mci.2018.2881642
LibreCat | DOI
 
[220]
2019 | Book Chapter | LibreCat-ID: 15006
Nguyen, V.-L., Destercke, S., & Hüllermeier, E. (2019). Epistemic Uncertainty Sampling. In Discovery Science. Cham. https://doi.org/10.1007/978-3-030-33778-0_7
LibreCat | DOI
 
[219]
2019 | Conference Paper | LibreCat-ID: 15013
Brinker, K., & Hüllermeier, E. (2019). A Reduction of Label Ranking to Multiclass Classification. In Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases. Würzburg, Germany.
LibreCat
 
[218]
2018 | Conference Paper | LibreCat-ID: 10184
Schäfer, D., & Hüllermeier, E. (2018). Preference-Based Reinforcement Learning Using Dyad Ranking. In Proc. 21st Int. Conference on Discovery Science (DS) (pp. 161–175).
LibreCat
 
[217]
2018 | Conference Paper | LibreCat-ID: 3852
Wever, M. D., Mohr, F., & Hüllermeier, E. (2018). ML-Plan for Unlimited-Length Machine Learning Pipelines. In ICML 2018 AutoML Workshop. Stockholm, Sweden.
LibreCat | Files available | Download (ext.)
 
[216]
2018 | Conference Paper | LibreCat-ID: 2479
Mohr, F., Wever, M. D., Hüllermeier, E., & Faez, A. (2018). (WIP) Towards the Automated Composition of Machine Learning Services. In SCC. San Francisco, CA, USA: IEEE. https://doi.org/10.1109/SCC.2018.00039
LibreCat | Files available | DOI | Download (ext.)
 
[215]
2018 | Conference Paper | LibreCat-ID: 10153
Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). Reduction Stumps for Multi-class Classification. In Proc. 17th Int. Symposium on Intelligent Data Analysis (IDA) (pp. 225–237).
LibreCat
 
[214]
2018 | Conference Paper | LibreCat-ID: 15297
Hüllermeier, E., Mohr, F., Wever, M. D., & Faez, A. (2018). Towards the automated composition of machine learning services. In in Proceedings SCC 2018, IEEE International Conference of Services Computing, San Francisco, CA, USA (pp. 241–244).
LibreCat
 
[213]
2018 | Conference Paper | LibreCat-ID: 10185
Seemann, N., Geierhos, M., Merten, M.-L., Tophinke, D., Wever, M. D., & Hüllermeier, E. (2018). Supporting the Cognitive Process in Annotation Tasks. In Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft.
LibreCat
 
[212]
2018 | Conference Paper | LibreCat-ID: 10154
Mohr, F., Wever, M. D., Hüllermeier, E., & Faez, A. (2018). (WIP) Towards the Automated Composition of Machine Learning Services. In Proc. 15th Int. Conference on Services Computing (SCC) (pp. 241–244).
LibreCat
 
[211]
2018 | Conference Paper | LibreCat-ID: 10192
Wever, M. D., Mohr, F., & Hüllermeier, E. (2018). ML-Plan for Unlimited-Length Machine Learning Pipelines. In Int. Workshop on Automatic Machine Learning (AutoML) at ICML 2018.
LibreCat
 
[210]
2018 | Journal Article | LibreCat-ID: 10274
Melnikov, V., & Hüllermeier, E. (2018). On the effectiveness of heuristics for learning nested dichotomies: an empirial analysis. Machine Learning, 107(8–10), 1537–1560.
LibreCat
 
[209]
2018 | Conference (Editor) | LibreCat-ID: 10591
Abiteboul, S., Arenas, M., Barceló, P., Bienvenu, M., Calvanese, D., David, C., … Yi, K. (Eds.). (2018). Research Directions for Principles of Data Management (Vol. 7, pp. 1–29).
LibreCat
 
[208]
2018 | Conference Paper | LibreCat-ID: 15298
Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). On-the-fly service construction with prototypes. In in Proceedings SCC 2018, IEEE International Conference of Services Computing, San Francisco, CA, USA (pp. 225–232).
LibreCat
 
[207]
2018 | Conference Paper | LibreCat-ID: 10181
Nguyen, V.-L., Destercke, S., Masson, M.-H., & Hüllermeier, E. (2018). Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty. In Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI) (pp. 5089–5095).
LibreCat
 
[206]
2018 | Conference Paper | LibreCat-ID: 2109
Wever, M. D., Mohr, F., & Hüllermeier, E. (2018). Ensembles of Evolved Nested Dichotomies for Classification. In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018. Kyoto, Japan: ACM. https://doi.org/10.1145/3205455.3205562
LibreCat | Files available | DOI | Download (ext.)
 
[205]
2018 | Conference Paper | LibreCat-ID: 2471
Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). On-The-Fly Service Construction with Prototypes. In SCC. San Francisco, CA, USA: IEEE Computer Society. https://doi.org/10.1109/SCC.2018.00036
LibreCat | Files available | DOI | Download (ext.)
 
[204]
2018 | Book Chapter | LibreCat-ID: 6423
Schäfer, D., & Hüllermeier, E. (2018). Preference-Based Reinforcement Learning Using Dyad Ranking. In Discovery Science (pp. 161–175). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-01771-2_11
LibreCat | Files available | DOI
 
[203]
2018 | Conference Paper | LibreCat-ID: 10148
El Mesaoudi-Paul, A., Hüllermeier, E., & Busa-Fekete, R. (2018). Ranking Distributions based on  Noisy Sorting. In Proc. 35th Int. Conference on Machine Learning (ICML) (pp. 3469–3477).
LibreCat
 
[202]
2018 | Conference Paper | LibreCat-ID: 3552
Mohr, F., Wever, M. D., & Hüllermeier, E. (n.d.). Reduction Stumps for Multi-Class Classification. In Proceedings of the Symposium on Intelligent Data Analysis. ‘s-Hertogenbosch, the Netherlands. https://doi.org/10.1007/978-3-030-01768-2_19
LibreCat | Files available | DOI | Download (ext.)
 
[201]
2018 | Conference Paper | LibreCat-ID: 10151
Mohr, F., Lettmann, T., Hüllermeier, E., & Wever, M. D. (2018). Programmatic Task Network Planning. In Proc. 1st ICAPS Workshop on Hierachical  Planning at the 28th Int. Conference on Automated Planning and Scheduling (ICAPS) (pp. 31–39).
LibreCat
 
[200]
2018 | Conference Paper | LibreCat-ID: 10149
Hesse, M., Timmermann, J., Hüllermeier, E., & Trächtler, A. (2018). A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart. In Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Procedia Manufacturing 24 (pp. 15–20).
LibreCat
 
[199]
2018 | Journal Article | LibreCat-ID: 10276
Schäfer, D., & Hüllermeier, E. (2018). Dyad Ranking Using Plackett-Luce Models based on joint feature representations. Machine Learning, 107(5), 903–941.
LibreCat
 
[198]
2018 | Book Chapter | LibreCat-ID: 10783
Couso, I., & Hüllermeier, E. (2018). Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. In S. Mostaghim, A. Nürnberger, & C. Borgelt (Eds.), Frontiers in Computational Intelligence (pp. 31–46). Springer.
LibreCat
 
[197]
2018 | Conference Paper | LibreCat-ID: 2857
Mohr, F., Lettmann, T., Hüllermeier, E., & Wever, M. D. (2018). Programmatic Task Network Planning. In Proceedings of the 28th International Conference on Automated Planning and Scheduling. Delft, Netherlands: AAAI.
LibreCat | Files available | Download (ext.)
 
[196]
2018 | Conference Abstract | LibreCat-ID: 1379
Seemann, N., Geierhos, M., Merten, M.-L., Tophinke, D., Wever, M. D., & Hüllermeier, E. (2018). Supporting the Cognitive Process in Annotation Tasks. In K. Eckart & D. Schlechtweg (Eds.), Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft. Stuttgart, Germany.
LibreCat | Files available | Download (ext.)
 
[195]
2018 | Conference Paper | LibreCat-ID: 10152
Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). On-the-Fly Service Construction with Prototypes. In Proc. 15th Int. Conference on Services Computing (SCC) (pp. 225–232).
LibreCat
 
[194]
2018 | Conference Paper | LibreCat-ID: 10145
Ahmadi Fahandar, M., & Hüllermeier, E. (2018). Learning to Rank Based on Analogical Reasoning. In Proc. 32 nd AAAI Conference on Artificial Intelligence (AAAI) (pp. 2951–2958).
LibreCat
 
[193]
2018 | Journal Article | LibreCat-ID: 10784
Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). ML-Plan: Automated machine learning via hierarchical planning. Machine Learning, 107(8–10), 1495–1515.
LibreCat
 
[192]
2018 | Conference Paper | LibreCat-ID: 10188
Wever, M. D., Mohr, F., & Hüllermeier, E. (2018). Ensembles of evolved nested dichotomies for classificaton. In Proc. Genetic and Evolutionary Computation Conference (GECCO) (pp. 561–568).
LibreCat
 
[191]
2018 | Journal Article | LibreCat-ID: 3510
Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). ML-Plan: Automated Machine Learning via Hierarchical Planning. Machine Learning. https://doi.org/10.1007/s10994-018-5735-z
LibreCat | Files available | DOI | Download (ext.)
 
[190]
2017 | Conference Paper | LibreCat-ID: 1180
Wever, M. D., Mohr, F., & Hüllermeier, E. (2017). Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization. In 27th Workshop Computational Intelligence. Dortmund.
LibreCat | Files available | Download (ext.)
 
[189]
2017 | Conference Paper | LibreCat-ID: 10204
Ewerth, R., Springstein, M., Müller, E., Balz, A., Gehlhaar, J., Naziyok, T., … Hüllermeier, E. (2017). Estimating relative depth in single images via rankboost. In Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017) (pp. 919–924).
LibreCat
 
[188]
2017 | Conference Paper | LibreCat-ID: 10216
Shaker, A., Heldt, W., & Hüllermeier, E. (2017). Learning TSK Fuzzy Rules from Data Streams. In Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia.
LibreCat
 
[187]
2017 | Conference Paper | LibreCat-ID: 10209
Ahmadi Fahandar, M., & Hüllermeier, E. (2017). Learning to Rank based on Analogical Reasoning. In Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence.
LibreCat
 
[186]
2017 | Conference Paper | LibreCat-ID: 15110
Couso, I., Dubois, D., & Hüllermeier, E. (2017). Maximum likelihood estimation and coarse data. In in Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain (pp. 3–16). Springer.
LibreCat
 
[185]
2017 | Conference Paper | LibreCat-ID: 10205
Ahmadi Fahandar, M., Hüllermeier, E., & Couso, I. (2017). Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent  Coarsening. In Proc. 34th Int. Conf. on Machine Learning (ICML 2017) (pp. 1078–1087).
LibreCat
 
[184]
2017 | Conference Paper | LibreCat-ID: 10212
Hoffmann, F., Hüllermeier, E., & Mikut, R. (2017). (Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017.
LibreCat
 
[183]
2017 | Journal Article | LibreCat-ID: 10267
Bräuning, M., Hüllermeier, E., Keller, T., & Glaum, M. (2017). Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application  in accounting. European Journal of Operational Research, 258(1), 295–306.
LibreCat
 
[182]
2017 | Encyclopedia Article | LibreCat-ID: 10589
Fürnkranz, J., & Hüllermeier, E. (2017). Preference Learning. In Encyclopedia of Machine Learning and Data Mining (pp. 1000–1005).
LibreCat
 
[181]
2017 | Conference Paper | LibreCat-ID: 15399
Czech, M., Hüllermeier, E., Jacobs, M. C., & Wehrheim, H. (2017). Predicting rankings of software verification tools. In in Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany.
LibreCat
 
[180]
2017 | Conference Paper | LibreCat-ID: 10213
Melnikov, V., & Hüllermeier, E. (2017). Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics. In Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017 (pp. 1–12).
LibreCat
 
[179]
2017 | Conference Paper | LibreCat-ID: 10206
Mohr, F., Lettmann, T., & Hüllermeier, E. (2017). Planning with Independent Task Networks. In Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017) (pp. 193–206).
LibreCat
 
[178]
2017 | Journal Article | LibreCat-ID: 10268
Platenius, M.-C., Shaker, A., Becker, M., Hüllermeier, E., & Schäfer, W. (2017). Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic. IEEE Transactions on Software Engineering, 43(8), 739–759.
LibreCat
 
[177]
2017 | Conference Paper | LibreCat-ID: 10214
Wever, M. D., Mohr, F., & Hüllermeier, E. (2017). Automatic Machine Learning: Hierarchical Planning Versus Evolutionary Optimization . In Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017 (pp. 149–166).
LibreCat
 
[176]
2017 | Conference Paper | LibreCat-ID: 10207
Czech, M., Hüllermeier, E., Jakobs, M.-C., & Wehrheim, H. (2017). Predicting rankings of software verification tools. In Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017 (pp. 23–26).
LibreCat
 
[175]
2017 | Journal Article | LibreCat-ID: 10269
Hüllermeier, E. (2017). From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection. The Computing Research Repository  (CoRR).
LibreCat
 
[174]
2017 | Conference Paper | LibreCat-ID: 15396
Wever, M. D., Mohr, F., & Hüllermeier, E. (2017). Automatic machine learning: Hierarchical planning versus evolutionary optimization. In F. Hoffmann, E. Hüllermeier, & R. Mikut (Eds.), in Proceedings 27th Workshop Computational Intelligence, Dortmund Germany (pp. 149–166). KIT Scientific Publishing.
LibreCat
 
[173]
2017 | Conference Paper | LibreCat-ID: 10208
Couso, I., Dubois, D., & Hüllermeier, E. (2017). Maximum Likelihood Estimation and Coarse Data. In Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017) (pp. 3–16).
LibreCat
 
[172]
2017 | Conference Paper | LibreCat-ID: 15397
Melnikov, V., & Hüllermeier, E. (2017). Optimizing the structure of nested dichotomies. A comparison of two heuristics. In F. Hoffmann, E. Hüllermeier, & R. Mikut (Eds.), in Proceedings 27th Workshop Computational Intelligence, Dortmund Germany (pp. 1–12). KIT Scientific Publishing.
LibreCat
 
[171]
2016 | Conference Paper | LibreCat-ID: 10228
Schäfer, D., & Hüllermeier, E. (2016). Preference-Based Reinforcement Learning Using Dyad Ranking. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning.
LibreCat
 
[170]
2016 | Conference Paper | LibreCat-ID: 10223
Melnikov, V., & Hüllermeier, E. (2016). Learning to aggregate using uninorms,  in Proceedings ECML/PKDD-2016. In European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva del Garda, Italy (pp. 756–771).
LibreCat
 
[169]
2016 | Conference Paper | LibreCat-ID: 10230
Lu, S., & Hüllermeier, E. (2016). Support vector classification on noisy data using fuzzy supersets losses. In F. Hoffmann, E. Hüllermeier, & R. Mikut (Eds.), Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing (pp. 1–8).
LibreCat
 
[168]
2016 | Journal Article | LibreCat-ID: 10266
Riemenschneider, M., Senge, R., Neumann, U., Hüllermeier, E., & Heider, D. (2016). Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification. BioData Mining, 9(10).
LibreCat
 
[167]
2016 | Encyclopedia Article | LibreCat-ID: 10785
Fürnkranz, J., & Hüllermeier, E. (2016). Preference Learning. In C. Sammut & G. I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining. Springer.
LibreCat
 
[166]
2016 | Conference Paper | LibreCat-ID: 15401
Schäfer, D., & Hüllermeier, E. (2016). Preference -based reinforcement learning using dyad ranking. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany.
LibreCat
 
[165]
2016 | Conference Paper | LibreCat-ID: 10224
Dembczynski, K., Kotlowski, W., Waegeman, W., Busa-Fekete, R., & Hüllermeier, E. (2016). Consistency of probalistic classifier trees. In In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva del Garda, Italy (pp. 511–526).
LibreCat
 
[164]
2016 | Conference Paper | LibreCat-ID: 10229
Couso, I., Ahmadi Fahandar, M., & Hüllermeier, E. (2016). Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning.
LibreCat
 
[163]
2016 | Conference Paper | LibreCat-ID: 10231
Schäfer, D., & Hüllermeier, E. (2016). Plackett-Luce networks for dyad ranking. In In Workshop LWDA “Lernen, Wissen, Daten, Analysen.”
LibreCat
 
[162]
2016 | Conference Paper | LibreCat-ID: 15111
Pfannschmidt, K., Hüllermeier, E., Held, S., & Neiger, R. (2016). Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts. In In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands (pp. 450–461). Springer.
LibreCat
 
[161]
2016 | Conference Paper | LibreCat-ID: 15402
Couso, I., Ahmadi Fahandar, M., & Hüllermeier, E. (2016). Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany.
LibreCat
 
[160]
2016 | Conference Paper | LibreCat-ID: 10225
Shabani, A., Paul, A., Platon, R., & Hüllermeier, E. (2016). Predicting the electricity consumption of buildings: An improved CBR approach. In In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA (pp. 356–369).
LibreCat
 
[159]
2016 | Conference (Editor) | LibreCat-ID: 10263
Kaminka, G. A., Fox, M., Bouquet, P., Hüllermeier, E., Dignum, V., Dignum, F., & van Harmelen, F. (Eds.). (2016). ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial Intelligence (Vol. 285). The Hague, The Netherlands: IOS Press.
LibreCat
 
[158]
2016 | Conference Paper | LibreCat-ID: 15403
Lu, S., & Hüllermeier, E. (2016). Support vector classification on noisy data using fuzzy superset losses. In E. Hüllermeier, F. Hoffmann, & R. Mikut (Eds.), in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany (pp. 1–8). KIT Scientific Publishing.
LibreCat
 
[157]
2016 | Conference Paper | LibreCat-ID: 10226
Pfannschmidt, K., Hüllermeier, E., Held, S., & Neiger, R. (2016). Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts. In In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands (pp. 450–461). Springer.
LibreCat
 
[156]
2016 | Conference (Editor) | LibreCat-ID: 10221
Hoffmann, F., Hüllermeier, E., & Mikut, R. (Eds.). (2016). Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany.
LibreCat
 
[155]
2016 | Journal Article | LibreCat-ID: 10264
Leinweber, M., Fober, T., Strickert, M., Baumgärtner, L., Klebe, G., Freisleben, B., & Hüllermeier, E. (2016). CavSimBase: A database for large scale comparison of protein binding sites. IEEE Transactions on Knowledge and Data Engineering, 28(6), 1423–1434.
LibreCat
 
[154]
2016 | Conference Paper | LibreCat-ID: 15404
Schäfer, D., & Hüllermeier, E. (2016). Plackett-Luce networks for dyad ranking. In in Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany.
LibreCat
 
[153]
2016 | Conference Paper | LibreCat-ID: 10227
Labreuche, C., Hüllermeier, E., Vojtas, P., & Fallah Tehrani, A. (2016). On the Identifiability of models in multi-criteria preference learning . In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning.
LibreCat
 
[152]
2016 | Conference Paper | LibreCat-ID: 10222
Jasinska, K., Dembczynski, K., Busa-Fekete, R., Klerx, T., & Hüllermeier, E. (2016). Extreme F-measure maximization using sparse probability estimates . In M. F. Balcan & K. Q. Weinberger (Eds.), Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA.
LibreCat
 
[151]
2016 | Conference Paper | LibreCat-ID: 15400
Labreuche, C., Hüllermeier, E., Vojtas, P., & Fallah Tehrani, A. (2016). On the identifiability of models  in multi-criteria preference learning. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany.
LibreCat
 
[150]
2015 | Journal Article | LibreCat-ID: 4792
Senge, R., & Hüllermeier, E. (2015). Fast Fuzzy Pattern Tree Learning for Classification. IEEE Transactions on Fuzzy Systems, 23(6), 2024–2033. https://doi.org/10.1109/tfuzz.2015.2396078
LibreCat | Files available | DOI
 
[149]
2015 | Conference Paper | LibreCat-ID: 10242
Szörényi, B., Busa-Fekete, R., Dembczynski, K., & Hüllermeier, E. (2015). Online F-Measure Optimization. In in Advances in Neural Information Processing Systems 28 (NIPS 2015) (pp. 595–603).
LibreCat
 
[148]
2015 | Conference Paper | LibreCat-ID: 10235
Hoffmann, F., & Hüllermeier, E. (2015). Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing.
LibreCat
 
[147]
2015 | Journal Article | LibreCat-ID: 10324
Senge, R., & Hüllermeier, E. (2015). Fast Fuzzy Pattern Tree Learning of Classification. IEEE Transactions on Fuzzy Systems, 23(6), 2024–2033.
LibreCat
 
[146]
2015 | Conference Paper | LibreCat-ID: 15406
Schäfer, D., & Hüllermeier, E. (2015). Preference-based meta-learning using dyad ranking: Recommending algorithms in cold-start situations. In in Proceedings of the 2015 international Workshop on Meta-Learning and Algorithm Selection co-located ECML/PKDD, Porto, Portugal (pp. 110–111).
LibreCat
 
[145]
2015 | Conference Paper | LibreCat-ID: 10243
El Mesaoudi-Paul, A., & Hüllermeier, E. (2015). A CBR Approach to the Angry Birds Game. In in Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015) (pp. 68–77).
LibreCat
 
[144]
2015 | Conference Paper | LibreCat-ID: 10236
Abdel-Aziz, A., & Hüllermeier, E. (2015). Case Base Maintenance in Preference-Based CBR. In In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) (pp. 1–14).
LibreCat
 
[143]
2015 | Journal Article | LibreCat-ID: 10320
Hüllermeier, E. (2015). Does machine learning need fuzzy logic? Fuzzy Sets and Systems, 281, 292–299.
LibreCat
 
[142]
2015 | Conference Paper | LibreCat-ID: 10244
Schäfer, D., & Hüllermeier, E. (2015). Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations. In in Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML) (pp. 110–111).
LibreCat
 
[141]
2015 | Conference Paper | LibreCat-ID: 10237
Szörényi, B., Busa-Fekete, R., Weng, P., & Hüllermeier, E. (2015). Qualitative Multi-Armed Bandits: A Quantile-Based Approach. In In Proceedings International Conference on Machine Learning (ICML 2015) (pp. 1660–1668).
LibreCat
 
[140]
2015 | Journal Article | LibreCat-ID: 10319
Waegeman, W., Dembczynski, K., Jachnik, A., Cheng, W., & Hüllermeier, E. (2015). On the Bayes-Optimality of F-Measure Maximizers. In Journal of Machine Learning Research, 15, 3333–3388.
LibreCat
 
[139]
2015 | Journal Article | LibreCat-ID: 10321
Shaker, A., & Hüllermeier, E. (2015). Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. Neurocomputing, 150, 250–264.
LibreCat
 
[138]
2015 | Conference Paper | LibreCat-ID: 10240
Henzgen, S., & Hüllermeier, E. (2015). Weighted Rank Correlation : A Flexible Approach Based on Fuzzy Order Relations. In in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD) (pp. 422–437).
LibreCat
 
[137]
2015 | Conference Paper | LibreCat-ID: 10238
Schäfer, D., & Hüllermeier, E. (2015). Dyad Ranking Using A Bilinear Plackett-Luce Model. In in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD) (pp. 227–242).
LibreCat
 
[136]
2015 | Conference Paper | LibreCat-ID: 10245
Lu, S., & Hüllermeier, E. (2015). Locally weighted regression through data imprecisiation. In Proceedings 25. Workshop Computational Intelligence (pp. 97–104).
LibreCat
 
[135]
2015 | Journal Article | LibreCat-ID: 10322
Hüllermeier, E. (2015). From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and alternative directions. Informatik Spektrum, 38(6), 500–509.
LibreCat
 
[134]
2015 | Conference Paper | LibreCat-ID: 10234
Hüllermeier, E., & Minor, M. (2015). Case-Based Reasoning Research and Development . In in Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343. Springer.
LibreCat
 
[133]
2015 | Conference Paper | LibreCat-ID: 10241
Szörényi, B., Busa-Fekete, R., Paul, A., & Hüllermeier, E. (2015). Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach. In in Advances in Neural Information Processing Systems 28 (NIPS 2015) (pp. 604–612).
LibreCat
 
[132]
2015 | Conference Paper | LibreCat-ID: 10246
Ewerth, R., Balz, A., Gehlhaar, J., Dembczynski, K., & Hüllermeier, E. (2015). Depth estimation in monocular images: Quantitative versus qualitative approaches. In Proceedings 25. Workshop Computational Intelligence (pp. 235–240).
LibreCat
 
[131]
2015 | Conference Paper | LibreCat-ID: 10239
Hüllermeier, E., & Cheng, W. (2015). Superset Learning Based on Generalized Loss Minimization . In in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD) (pp. 260–275).
LibreCat
 
[130]
2015 | Journal Article | LibreCat-ID: 10323
Garcia-Jimenez, S., Bustince, U., Hüllermeier, E., Mesiar, R., Pal, N. R., & Pradera, A. (2015). Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems. IEEE Transactions on Fuzzy Systems, 23(4), 1259–1273.
LibreCat
 
[129]
2014 | Conference Paper | LibreCat-ID: 10254
Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France. In Proceedings, Parts I-III. Lecture Notes in Computer Science (pp. 8724–8726). Springer.
LibreCat
 
[128]
2014 | Conference Paper | LibreCat-ID: 10247
Busa-Fekete, R., Szörényi, B., & Hüllermeier, E. (2014). PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences. In Proceedings AAAI 2014, Quebec, Canada (pp. 1701–1707).
LibreCat
 
[127]
2014 | Journal Article | LibreCat-ID: 10297
Hoffmann, F., Hüllermeier, E., & Kroll, A. (2014). Ausgewählte Beiträge des GMA-Fachausschusses 5.14. Computational Intelligence Automatisierungstechnik, 62(10), 685–686.
LibreCat
 
[126]
2014 | Journal Article | LibreCat-ID: 10312
Mernberger, M., Moog, M., Stork, S., Zauner, S., Maier, U. G., & Hüllermeier, E. (2014). Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances. J. Bioinformatics and Computational Biology, 12(1).
LibreCat
 
[125]
2014 | Journal Article | LibreCat-ID: 10317
Krotzky, T., Fober, T., Hüllermeier, E., & Klebe, G. (2014). Extended Graph-Based Models for Enhanced Similarity Search in Cavbase. IEEE/ACM Trans. Comput. Biology Bioinform., 11(5), 878–890.
LibreCat
 
[124]
2014 | Conference Paper | LibreCat-ID: 10248
Busa-Fekete, R., & Hüllermeier, E. (2014). A Survey of Preference-Based Online Learning with Bandit Algorithms. In Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia (pp. 18–39).
LibreCat
 
[123]
2014 | Conference Paper | LibreCat-ID: 10250
Fallah Tehrani, A., Strickert, M., & Hüllermeier, E. (2014). The Choquet kernel for monotone data. In Proceedings ESANN , Bruges, Belgium.
LibreCat
 
[122]
2014 | Journal Article | LibreCat-ID: 10298
Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Data Min. Knowledge Discovery, 28(5–6), 1129–1133.
LibreCat
 
[121]
2014 | Journal Article | LibreCat-ID: 10318
Stock, M., Fober, T., Hüllermeier, E., Glinca, S., Klebe, G., Pahikkala, T., … Wageman, W. (2014). Identification of Functionally Releated Enzymes by Learning to Rank Methods. IEEE/ACM Trans. Comput. Biology Bioinform., 11(6), 1157–1169.
LibreCat
 
[120]
2014 | Journal Article | LibreCat-ID: 10313
Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Machine Learning, 97(1–2), 1–3.
LibreCat
 
[119]
2014 | Conference Paper | LibreCat-ID: 10251
Abdel-Aziz, A., Strickert, M., & Hüllermeier, E. (2014). Learning Solution Similarity in Preference-Based CBR. In Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland (pp. 17–31).
LibreCat
 
[118]
2014 | Conference Paper | LibreCat-ID: 10249
Henzgen, S., & Hüllermeier, E. (2014). Mining Rank Data. In Proceedings Discovery Science, Bled,Slovenia (pp. 123–134).
LibreCat
 
[117]
2014 | Journal Article | LibreCat-ID: 10299
Henzgen, S., Strickert, M., & Hüllermeier, E. (2014). Visualization of evolving fuzzy rule-based systems. Evolving Systems, 5(3), 175–191.
LibreCat
 
[116]
2014 | Journal Article | LibreCat-ID: 10314
Busa-Fekete, R., Szörényi, B., Weng, P., Cheng, W., & Hüllermeier, E. (2014). Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm. Machine Learning, 97(3), 327–351.
LibreCat
 
[115]
2014 | Conference Paper | LibreCat-ID: 10295
Fürnkranz, J., Hüllermeier, E., Rudin, C., Slowinski, R., & Sanner, S. (2014). Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports (Vol. 4, pp. 1–27).
LibreCat
 
[114]
2014 | Journal Article | LibreCat-ID: 10308
Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int. J. Approx. Reasoning, 55(7), 1519–1534.
LibreCat
 
[113]
2014 | Journal Article | LibreCat-ID: 10315
Montanés, E., Senge, R., Barranquero, J., Quevedo, J. R., Del Coz, J. J., & Hüllermeier, E. (2014). Dependent binary relevance models for multi-label classification. Pattern Recognition, 47(3), 1494–1508.
LibreCat
 
[112]
2014 | Journal Article | LibreCat-ID: 10310
Strickert, M., Bunte, K., Schleif, F.-M., & Hüllermeier, E. (2014). Correlation-based embedding of pairwise score data. Neurocomputing, 141, 97–109.
LibreCat
 
[111]
2014 | Conference Paper | LibreCat-ID: 10253
Schäfer, D., & Hüllermeier, E. (2014). Dyad Ranking Using A Bilinear Plackett-Luce Model. In Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany (pp. 32–33).
LibreCat
 
[110]
2014 | Journal Article | LibreCat-ID: 10309
Hüllermeier, E. (2014). Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int. J. Approx. Reasoning, 55(7), 1609–1613.
LibreCat
 
[109]
2014 | Journal Article | LibreCat-ID: 10311
Senge, R., Bösner, S., Dembczynski, K., Haasenritter, J., Hirsch, O., Donner-Banzhoff, N., & Hüllermeier, E. (2014). Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences, 255, 16–29.
LibreCat
 
[108]
2014 | Journal Article | LibreCat-ID: 10316
Krempl, G., Zliobaite, I., Brzezinski, D., Hüllermeier, E., Last, M., Lemaire, V., … Stefanowski, J. (2014). Open challenges for data stream mining research. SIGKDD Explorations, 16(1), 1–10.
LibreCat
 
[107]
2014 | Journal Article | LibreCat-ID: 10296
Shaker, A., & Hüllermeier, E. (2014). Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. Applied Mathematics and Computer Science, 24(1), 199–212.
LibreCat
 
[106]
2013 | Conference Paper | LibreCat-ID: 13119
Henzgen, S., Strickert, M., & Hüllermeier, E. (2013). Rule chains for visualizing evolving fuzzy rule-based systems. In R. Burduk, K. Jackowski, M. Kurzynski, M. Wozniak, & A. Zolnierek (Eds.), in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland (pp. 279–288). Springer.
LibreCat
 
[105]
2013 | Conference Paper | LibreCat-ID: 13190
Shaker, A., & Hüllermeier, E. (2013). Recovery analysis for adaptive learning from non-stationary data streams. In R. Burduk, K. Jackowski, M. Kurzynski, W. Wozniak, & A. Zolnierek (Eds.), in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland (pp. 289–298). Springer.
LibreCat
 
[104]
2013 | Conference Paper | LibreCat-ID: 13115
Szarvas, G., Busa-Fekete, R., & Hüllermeier, E. (2013). Learning to rank lexical substitutions. In In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA.
LibreCat
 
[103]
2013 | Conference Paper | LibreCat-ID: 13116
Dembczynski, K., Jachnik, A., Kotlowski, W., Waegeman, W., & Hüllermeier, E. (2013). Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization. In S. Dasgupta & D. McAllester (Eds.), in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA (pp. 1130–1138).
LibreCat
 
[102]
2013 | Conference Paper | LibreCat-ID: 15112
Fallah Tehrani, A., & Hüllermeier, E. (2013). Ordinal Choquistic regression . In J. Montero, G. Pasi, & D. Ciucci (Eds.), in Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy. Atlantis Press.
LibreCat
 
[101]
2013 | Conference Paper | LibreCat-ID: 13117
Busa-Fekete, R., Szoreny, B., Weng, P., Cheng, W., & Hüllermeier, E. (2013). Top-k selection based on adaptive sampling of noisy preferences. In S. Dasgupta & D. McAllester (Eds.), in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA (pp. 1094–1102).
LibreCat
 
[100]
2013 | Conference Paper | LibreCat-ID: 15113
Nasiri, N., Fober, T., Senge, R., & Hüllermeier, E. (2013). 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 (pp. 715–721).
LibreCat
 
[99]
2013 | Conference Paper | LibreCat-ID: 13118
Hüllermeier, E., & Cheng, W. (2013). Preference-based CBR: General ideas and basic principles. In F. Rossi (Ed.), in Proceedings IJCAI-13, 23rd international Joint Conference on Artificial Intelligence, Beijing, China (pp. 3012–3016). AAAI Press.
LibreCat
 
[98]
2012 | Conference Paper | LibreCat-ID: 13191
Cheng, W., & Hüllermeier, E. (2012). 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.
LibreCat
 
[97]
2012 | Conference Paper | LibreCat-ID: 13192
Dembczynski, K., Kotlowski, W., & Hüllermeier, E. (2012). Consistent multilabel ranking through univariate loss minimization. In J. Langford & J. Pineau (Eds.), in Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland.
LibreCat
 
[96]
2012 | Conference Paper | LibreCat-ID: 15299
Leinweber, M., Baumgärtner, L., Mernberger, M., Fober, T., Hüllermeier, E., Klebe, G., & Freisleben, B. (2012). 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.
LibreCat
 
[95]
2012 | Conference Paper | LibreCat-ID: 13193
Dembczynski, K., Waegeman, W., & Hüllermeier, E. (2012). An analysis of chaining in multi-label classification. In In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France (pp. 294–299). IOS Press.
LibreCat
 
[94]
2012 | Conference Paper | LibreCat-ID: 13120
Cheng, W., Hüllermeier, E., Waegeman, W., & Welker, V. (2012). 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.
LibreCat
 
[93]
2012 | Conference Paper | LibreCat-ID: 15114
Hüllermeier, E., & Fallah Tehrani, A. (2012). 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.
LibreCat
 
[92]
2011 | Conference Paper | LibreCat-ID: 13195
Cheng, W., Fuernkranz, J., Hüllermeier, E., & Park, S. H. (2011). Preference-based policy iteration: Leveraging preference learning for reinforcement learning. In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, .
LibreCat
 
[91]
2011 | Conference Paper | LibreCat-ID: 15115
Nasiri, M., Hüllermeier, E., Senge, R., & Lughofer, E. (2011). 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 (p. RW-103-1-6).
LibreCat
 
[90]
2011 | Conference Paper | LibreCat-ID: 13196
Fürnkranz, J., & Hüllermeier, E. (2011). Learning from label preferences. In T. Elomaa, J. Hollmen, & H. Mannila (Eds.), in Proceedings DS-2011, 14th International  Conference on Discovery Science, number 6926 in LNAI (pp. 2–17). Springer.
LibreCat
 
[89]
2011 | Conference Paper | LibreCat-ID: 13588
Kotlowski, W., Dembczynski, K., & Hüllermeier, E. (2011). Bipartite ranking through minimization of univariate loss. In in Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA.
LibreCat
 
[88]
2011 | Conference Paper | LibreCat-ID: 15116
Lughofer, E., & Hüllermeier, E. (2011). On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure. In S. Galichet, J. Montero, & G. Mauris (Eds.), in Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-les-Bains, France (pp. 380–387).
LibreCat
 
[87]
2011 | Conference Paper | LibreCat-ID: 13197
Fallah Tehrani, A., Cheng, W., Dembczynski, K., & Hüllermeier, E. (2011). Learning  monotone nonlinear models using the Choquet integral. In In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece,.
LibreCat
 
[86]
2011 | Conference Paper | LibreCat-ID: 15117
Fallah Tehrani, A., Cheng, W., & Hüllermeier, E. (2011). 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 (pp. 868–875).
LibreCat
 
[85]
2011 | Conference Paper | LibreCat-ID: 13198
Hüllermeier, E., & Schlegel, P. (2011). Preference-based CBR: First steps toward a methodological framework. In A. Ram & N. Wiratunga (Eds.), In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, number 6880 in LNAI (pp. 77–91). Springer.
LibreCat
 
[84]
2011 | Conference Paper | LibreCat-ID: 13194
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2011). An exact algorithm for F-measure maximization. In In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain.
LibreCat
 
[83]
2010 | Conference Paper | LibreCat-ID: 13594
Cheng, W., Rademaker, M., De Beats, B., & Hüllermeier, E. (2010). Predicting partial orders: Ranking with abstention. In In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain.
LibreCat
 
[82]
2010 | Conference Paper | LibreCat-ID: 13590
Cheng, W., Dembczynski, K., & Hüllermeier, E. (2010). Label ranking based on the Plackett-Luce model. In J. Fürnkranz & T. Joachims (Eds.), in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel (pp. 215–222).
LibreCat
 
[81]
2010 | Conference Paper | LibreCat-ID: 13589
Dembczynski, K., Cheng, W., & Hüllermeier, E. (2010). Bayes optimal multilabel classification via probalistic classifier chains. In J. Fürnkranz & T. Joachims (Eds.), in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel (pp. 279–286).
LibreCat
 
[80]
2010 | Conference Paper | LibreCat-ID: 13591
Cheng, W., Dembczynski, K., & Hüllermeier, E. (2010). Graded multi-label classification: The ordinal case. In J. Fürnkranz & T. Joachims (Eds.), in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel.
LibreCat
 
[79]
2010 | Conference Paper | LibreCat-ID: 13597
Hüllermeier, E. (2010). Uncertainty in clustering and classification . In in Proceedings SUM 2010, International Conference on Scalable Uncertainty Management (Vol. 6379, pp. 16–19). Springer.
LibreCat
 
[78]
2010 | Conference Paper | LibreCat-ID: 15118
Fober, T., & Hüllermeier, E. (2010). Similarity measures for protein structures based on fuzzy histogram comparison. In in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain.
LibreCat
 
[77]
2010 | Conference Paper | LibreCat-ID: 13593
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2010). Regret analysis for performance metrics in multi-label classification: The case of Hamming and subset zero-one loss. In In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain.
LibreCat
 
[76]
2010 | Conference Paper | LibreCat-ID: 15119
Senge, R., & Hüllermeier, E. (2010). Pattern trees for regression and fuzzy systems modeling. In in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain.
LibreCat
 
[75]
2009 | Conference Paper | LibreCat-ID: 15196
Hüllermeier, E., & Rifqi, M. (2009). A fuzzy variant of the Rand index for comparing clustering structures. In in Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal (pp. 1294–1298).
LibreCat
 
[74]
2009 | Conference Paper | LibreCat-ID: 13595
Cheng, W., Hühn, J., & Hüllermeier, E. (2009). Decision tree and instance-based learning for label ranking. In in Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada (pp. 161–168).
LibreCat
 
[73]
2009 | Conference Paper | LibreCat-ID: 13596
Fürnkranz, J., Hüllermeier, E., & Vanderlooy, S. (2009). Binary decomposition methods for multipartite ranking. In In Proceedings ECML/PKDD-2009, European Conference on Machine Learning and Principles and Knowledge Discovery in Databases, Bled Sloveniaery in Databases, Bled, Slovenia.
LibreCat
 
[72]
2009 | Conference Paper | LibreCat-ID: 15120
Fober, T., Klebe, G., & Hüllermeier, E. (2009). Efficient construction of multiple geometrical alignments for the comparison of protein binding sites. In in Proceedings ISDA-2009, 9th international Conference on Intelligent Systems Design and Applications, Pisa, Italy (pp. 1251–1256).
LibreCat
 
[71]
2009 | Conference Paper | LibreCat-ID: 13598
Cheng, W., & Hüllermeier, E. (2009). A new instance-based label ranking approach using the Mallows model. In Advances in Neural Networks. In in Proceedings 6th International Symposium on Neural Networks, Wuhan, China (pp. 707–716). Springer.
LibreCat
 
[70]
2009 | Conference Paper | LibreCat-ID: 15195
Fober, T., & Hüllermeier, E. (2009). Fuzzy modeling of labeled point cloud superposition  for the comparison of protein binding sites. In in Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal (pp. 1299–1304).
LibreCat
 
[69]
2008 | Conference Paper | LibreCat-ID: 13599
Hüllermeier, E., Vladimirskiy, I., Prados Suarez, B., & Stauch, E. (2008). Supporting case-based retrieval by similarity skylines: Basic concepts and extensions. In K. D. Althoff, R. Bergmann, M. Minor, & A. Hanft (Eds.), in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany (pp. 240–254).
LibreCat
 
[68]
2008 | Conference Paper | LibreCat-ID: 13600
Cheng, W., & Hüllermeier, E. (2008). Learning similarity functions from qualitative feedback. In K. D. Althoff, R. Bergmann, M. Minor, & A. Hanft (Eds.), in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany (pp. 120–134). Springer.
LibreCat
 
[67]
2007 | Conference Paper | LibreCat-ID: 14833
Brinker, K., & Hüllermeier, E. (2007). Label ranking in case-based reasoning. In M. Richter & R. Weber (Eds.), In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland (Vol. 4626, pp. 77–91). Springer.
LibreCat
 
[66]
2007 | Conference Paper | LibreCat-ID: 14834
Beringer, J., & Hüllermeier, E. (2007). Efficient instance-based learning on data streams. In P. Perner (Ed.), In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig (pp. 34–48). Springer.
LibreCat
 
[65]
2007 | Conference Paper | LibreCat-ID: 15197
Hüllermeier, E., & Brinker, K. (2007). Fuzzy-relational classificaton : Combining pairwise decomposition techniques with fuzzy preference modeling. In in Proceedings EUSFLAT-2007 5th International Conference on the European Society for Fuzzy Logic and Technology, Ostrava, Czech Republic (Vol. 1, pp. 353–360).
LibreCat
 
[64]
2007 | Conference Paper | LibreCat-ID: 14835
Brinker, K., & Hüllermeier, E. (2007). Case-based multilabel ranking. In in Proceedings IJCAI-07, 20th international Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007 (pp. 701–707).
LibreCat
 
[63]
2007 | Conference Paper | LibreCat-ID: 15198
Beringer, J., & Hüllermeier, E. (2007). Adaptive optimization of the number of clusters in fuzzy clustering, London 2007. In in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems.
LibreCat
 
[62]
2007 | Conference Paper | LibreCat-ID: 15199
Hüllermeier, E., Weskamp, N., Klebe, G., & Kuhn, D. (2007). Graph alignment: Fuzzy pattern mining for the structural analysis of protein active sites. In in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London.
LibreCat
 
[61]
2007 | Conference Paper | LibreCat-ID: 13601
Sulzmann, J. N., Fürnkranz, J., & Hüllermeier, E. (2007). On pairwise Naive Bayes classifiers. In In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland. Springer.
LibreCat
 
[60]
2007 | Conference Paper | LibreCat-ID: 14832
Hüllermeier, E., & Fürnkranz, J. (2007). On minimizing the position error in label ranking. In In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007. Springer.
LibreCat
 
[59]
2006 | Conference Paper | LibreCat-ID: 14838
Brinker, K., Fuernkranz, J., & Hüllermeier, E. (2006). A unified model for multilabel classification and ranking. In G. Brewka, S. Coradeschi, A. Perini, & P. Traverso (Eds.), In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva del Garda, Italy (pp. 489–493).
LibreCat
 
[58]
2006 | Conference Paper | LibreCat-ID: 15201
Hüllermeier, E. (2006). Integrating instance-based learning and logistic regression. In In Proceedings IPMU-2006 11th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, France.
LibreCat
 
[57]
2006 | Conference Paper | LibreCat-ID: 15213
Hüllermeier, E. (2006). The Choquet integral as an aggregation operator in case-based learning. In B. Reusch (Ed.), in Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund (pp. 615–628). Springer.
LibreCat
 
[56]
2006 | Conference Paper | LibreCat-ID: 14836
Bade, K., Hüllermeier, E., & Nürnberger, A. (2006). Hierarchical classification by expected utility maximization. In In Proceedings ICDM-2006, IEEE International Conference on Data Mining (pp. 43–52). IEEE Computer Society Press.
LibreCat
 
[55]
2006 | Conference Paper | LibreCat-ID: 14837
Brinker, K., & Hüllermeier, E. (2006). Case-based label ranking. In In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006 (pp. 566–573). Springer.
LibreCat
 
[54]
2005 | Conference Paper | LibreCat-ID: 14840
Hüllermeier, E., & Fürnkranz, J. (2005). Learning label preferences: Ranking error versus position error. In A. Famili, J. Kok, J. Pena, A. Siebes, & A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid (Vol. 3646, pp. 180–191). Springer.
LibreCat
 
[53]
2005 | Conference Paper | LibreCat-ID: 15216
Yi, Y., & Hüllermeier, E. (2005). Learning complexity-boundet rule-based classifiers by combining association analysis and genetic algorithms. In in Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology,  Barcelona, Spain.
LibreCat
 
[52]
2005 | Conference Paper | LibreCat-ID: 14841
Hüllermeier, E., & Beringer, J. (2005). Learning from ambiguously labeled examples. In A. Famili, J. Kok, J. Pena, A. Siebes, & A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid (Vol. 3646, pp. 168–179). Springer.
LibreCat
 
[51]
2005 | Conference Paper | LibreCat-ID: 14839
Hüllermeier, E., & NN, C. (2005). A method for combining interacting pieces of evidence in case-based learning. In L. Kaelbling & A. Saffiotti (Eds.), in Proceedings IJCAI-05, 19th international Joint Conference on Artificial Intelligence, Edingburgh, Scotland (pp. 3–8).
LibreCat
 
[50]
2005 | Conference Paper | LibreCat-ID: 15105
Dubois, D., & Hüllermeier, E. (2005). A notion of comarative probabilistic entroy based on the possibilistic specificity ordering. In in Proceedings ECSQARU-2005, 8th European Conference of Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Barcelona, Spain.
LibreCat
 
[49]
2005 | Conference Paper | LibreCat-ID: 15214
Karimi, I., & Hüllermeier, E. (2005). A fuzzy-probablistic risk assessment system for natural disasters. In in Proceedings IFSA-2005, 11th  World Congress of the International Fuzzy System Association, Beijing, China (pp. 1147–1153).
LibreCat
 
[48]
2005 | Conference Paper | LibreCat-ID: 15215
Lughofer, E., Hüllermeier, E., & Klement, E. (2005). Improving the interpretability of data-driven evolving fuzzy systems. In in Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology, Barcelona, Spain.
LibreCat
 
[47]
2004 | Conference Paper | LibreCat-ID: 15217
Hüllermeier, E., & Fürnkranz, J. (2004). Comparison of ranking procedures in pairwise preference learning. In In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy.
LibreCat
 
[46]
2004 | Conference Paper | LibreCat-ID: 14842
Hüllermeier, E. (2004). Instance-based prediction with guaranteed confidence. In R. Lopez de Mantaras & L. Saitta (Eds.), In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain (pp. 97–101). IOS Press.
LibreCat
 
[45]
2004 | Conference Paper | LibreCat-ID: 15218
Hüllermeier, E., & Fürnkranz, J. (2004). Ranking by pairwise comparison: A note on risk minimization. In in Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems, Budapest, Hungary.
LibreCat
 
[44]
2004 | Conference Paper | LibreCat-ID: 15220
Hüllermeier, E., & Beringer, J. (2004). Learning decision rules from positive and negative preferences. In In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy.
LibreCat
 
[43]
2004 | Conference Paper | LibreCat-ID: 15219
Karimi, I., Hüllermeier, E., & Meskouris, K. (2004). An earthquake risk assessment method based on fuzzy probability. In in Proceedings 6th International FLINS Conference on Applied  Computational Intelligence, Duinse Polders, Blankenberg,Belgien.
LibreCat
 
[42]
2003 | Conference Paper | LibreCat-ID: 15223
Hüllermeier, E. (2003). Inducing fuzzy concepts through extended version space learning. In T. Bilgic, B. De Beats, & O. Kaynak (Eds.), in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey (Vol. 2715, pp. 648–677). Springer.
LibreCat
 
[41]
2003 | Conference Paper | LibreCat-ID: 15065
Hüllermeier, E. (2003). Regularized learning with flexible constraints. In M. R. Berthold, H. J. Lenz, E. Bradley, R. Kruse, & C. Borgelt (Eds.), In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis (Vol. 2810). Springer.
LibreCat
 
[40]
2003 | Conference Paper | LibreCat-ID: 15066
Fürnkranz, J., & Hüllermeier, E. (2003). Pairwise preference learning and ranking. In In Proceedings ECML-2003, 13 th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia. Springer.
LibreCat
 
[39]
2003 | Conference Paper | LibreCat-ID: 15221
Hüllermeier, E. (2003). Instance-based collaborative filtering with fuzzy labels. In in Proceedings EUSFLAT-2003 3th International Conference on the European Society for Fuzzy Logic and Technology, Zittlau, Germany (pp. 468–473).
LibreCat
 
[38]
2003 | Conference Paper | LibreCat-ID: 15222
Dubois, D., Hüllermeier, E., & Prade, H. (2003). A note on quality measures for fuzzy association rules. In T. Bilgic, B. De Beats, & O. Kaynak (Eds.), in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey (Vol. 2715, pp. 648–677). Springer.
LibreCat
 
[37]
2002 | Conference Paper | LibreCat-ID: 15064
De Calmès, M., Dubois, D., Hüllermeier, E., Prade, H., & Sèdes, F. (2002). A fuzzy set approach to flexible case-based querying: methodology and experimentation. In D. Fensel, F. Giunchiglia, D. Mc Guinness, & M. A. Williams (Eds.), in Proceedings KR-02, 8th International Conference on Principles of Knowledge Representation and Reasoning, France (pp. 449–458). Morgan Kaufmann.
LibreCat
 
[36]
2002 | Conference Paper | LibreCat-ID: 15228
De Calmès, M., Dubois, D., Hüllermeier, E., Prade, H., & Sèdes, F. (2002). Case-based quering and prediction: A fuzzy set approach. In in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii (pp. 735–740).
LibreCat
 
[35]
2002 | Conference Paper | LibreCat-ID: 14843
Hüllermeier, E. (2002). On the representation and combination of evidence in instance-based learning. In In Proceedings ECAI-2002, 15th European Conference on Artificial Intelligence, Lyon, France (pp. 360–364). IOS Press.
LibreCat
 
[34]
2002 | Conference Paper | LibreCat-ID: 15098
Hüllermeier, E. (2002). Association rules for expressing gradual dependencies. In in Proceedings PKDD-02  6th European Conference on Principles and Practise of Knowledge Discovery in Databases, Helsinki, Finland (pp. 200–211). Springer.
LibreCat
 
[33]
2002 | Conference Paper | LibreCat-ID: 15101
Hüllermeier, E. (2002). Possibilistic induction in decision tree learning. In in Proceedings ECML-02, 13th European Conference on Machine Learning, Helsinki Finland (pp. 173–184). Springer.
LibreCat
 
[32]
2002 | Conference Paper | LibreCat-ID: 15226
Hüllermeier, E. (2002). Mining implication-based fuzzy association rules in databases. In In Proceedings IPMU-2002 9th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems,Annecy, France (pp. 101–108).
LibreCat
 
[31]
2002 | Conference Paper | LibreCat-ID: 15227
Hüllermeier, E. (2002). Exploiting similarity and experience in decision making. In in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii (pp. 729–734).
LibreCat
 
[30]
2001 | Conference Paper | LibreCat-ID: 15230
Dubois, D., Hüllermeier, E., & Prade, H. (2001). Toward the representation of implication-based fuzzy rules in terms of crisp rules. In in Proceedings IFSA/NAFIPS-2001  Joint 9th World Congress of the International Fuzzy Systems Association and 20th Internatinonal Conference of the North American Fuzzy Information Processing Society, Vancouver, Canada (pp. 1592–1597).
LibreCat
 
[29]
2001 | Conference Paper | LibreCat-ID: 15300
Hüllermeier, E. (2001). Experience-based decision making and learning from examples. In In Proceedings SOR-01 Symposium on Operations Research, Duisburg, Germany. Springer.
LibreCat
 
[28]
2001 | Conference Paper | LibreCat-ID: 15229
Hüllermeier, E. (2001). Fuzzy association rules: Semantic issues and quality measures. In B. Reusch (Ed.), in Proceedings of the International Conference on Computational Intelligence 7th Fuzzy Days, Dortmund, Germany (Vol. 2206, pp. 380–391). Springer.
LibreCat
 
[27]
2001 | Conference Paper | LibreCat-ID: 15106
Hüllermeier, E. (2001). Implication-based fuzzy association rules. In D. Raedt & A. Siebes (Eds.), in Proceedings PKDD-01  5th European Conference on Principles and Practise of Knowledge Discovery in Databases, Freiburg, Germany (Vol. 2168, pp. 241–252). Springer.
LibreCat
 
[26]
2000 | Conference Paper | LibreCat-ID: 14845
Hüllermeier, E. (2000). Focusing search by using problem solving experience. In W. Horn (Ed.), In Proceedings ECAI-2000, 14th European Conference on Artificial Inteligence, Berlin, Germany (pp. 55–59). IOS Press.
LibreCat
 
[25]
2000 | Conference Paper | LibreCat-ID: 15108
Hüllermeier, E. (2000). A method for predicting solutions in case-based problem solving. In E. Blanzieri & L. Portinale (Eds.), in Proceedings EWCBR-2000, 5th European Workshop on Case-Based Reasoning, Trento, Italy (pp. 124–135). Springer.
LibreCat
 
[24]
2000 | Conference Paper | LibreCat-ID: 15109
Dubois, D., Hüllermeier, E., & Prade, H. (2000). Flexible control of case-based prediction in the framework of possibility theory. In E. Blanzieri & L. Portinale (Eds.), in Proceedings EWCBR-2000, 5th European Workshop on Case-Based Reasoning, Trento, Italy (pp. 61–73). Springer.
LibreCat
 
[23]
2000 | Conference Paper | LibreCat-ID: 15231
Hüllermeier, E., Dubois, D., & Prade, H. (2000). Knowledge-based extrapolution of cases: A possibilistic approach. In In Proceedings IPMU-2000 8th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Madrid, Spain (pp. 1575–1582).
LibreCat
 
[22]
2000 | Conference Paper | LibreCat-ID: 15301
Hüllermeier, E. (2000). Fuzzy dynamics: Methodological framework and applications of compartmental modeling. In D. M. Dubois (Ed.), in Proceedings CASYS-2000, 4th International Conference on Computing Anticipatory Systems Liège, Belgium.
LibreCat
 
[21]
2000 | Conference Paper | LibreCat-ID: 15302
Gueroguieva, I., Nestorov, I., Rowland, M., & Hüllermeier, E. (2000). In vitro-in vivo hepatic clearance prediction using fuzzy sets. In in Proceedings EUFEPS-2000, 6th European Congress of Pharmaceutical Sciences, Supplement 1 (Vol. 11, p. S22). European Journal of Pharmaceutical Sciences.
LibreCat
 
[20]
2000 | Conference Paper | LibreCat-ID: 14844
Hüllermeier, E. (2000). Similarity-based inference as evidential reasoning. In W. Horn (Ed.), In Proceedings ECAI-2000, 14th European Conference on Artificial Inteligence, Berlin, Germany (pp. 50–54). IOS Press.
LibreCat
 
[19]
2000 | Conference Paper | LibreCat-ID: 15063
Hüllermeier, E. (2000). Change detection in heuristic search. In Proceedings AAAI 2000, 17th National Conference on Artificial Intelligence, Austin, Texas (pp. 898–903).
LibreCat
 
[18]
1999 | Conference Paper | LibreCat-ID: 15232
Hüllermeier, E., Dubois, D., & Prade, H. (1999). Extensions of a qualitative approach to case-based decision making: Unvertainty and fuzzy quantification in act evaluation. In H. J. Zimmermann (Ed.), in Proceedings EUFIT-99 7th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany.
LibreCat
 
[17]
1999 | Conference Paper | LibreCat-ID: 15062
Hüllermeier, E. (1999). Toward a probabilistic formalization of case-based inference. In T. Dean (Ed.), in Proceedings IJCAI-99, 16th international Joint Conference on Artificial Intelligence, Stockholm, Sweden (pp. 248–253). Morgan Kaufmann.
LibreCat
 
[16]
1999 | Conference Paper | LibreCat-ID: 15233
Hüllermeier, E. (1999). Toward models of case-based decision making. In H. J. Zimmermann (Ed.), in Proceedings EUFIT-99 7th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany.
LibreCat
 
[15]
1999 | Conference Paper | LibreCat-ID: 15107
Hüllermeier, E. (1999). Exploiting similarity for supporting data analysis and problem solving. In D. J. Hand, J. N. Kok, & M. R. Berthold (Eds.), In Proceedings IDA-1999, 3th International Symposium on Intelligent Data Analysis, Amsterdam, Netherlands (Vol. 1642, pp. 257–268). Springer.
LibreCat
 
[14]
1999 | Conference Paper | LibreCat-ID: 15234
Hüllermeier, E. (1999). A possibilistic formalization of case-based reasoning and decision making. In B. Reusch (Ed.), in Proceedings of the 6th International Conference on Computational Intelligence, Dortmund, Germany (Vol. 1625, pp. 411–420). Springer.
LibreCat
 
[13]
1998 | Conference Paper | LibreCat-ID: 15287
Hüllermeier, E. (1998). Fuzzy dynamics of compartmental systems. In H. J. Zimmermann (Ed.), in Proceedings EUFIT-98 6th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany.
LibreCat
 
[12]
1998 | Conference Paper | LibreCat-ID: 15288
Hüllermeier, E., & Giersch, C. (1998). Fuzzy sets and modelling of uncertainty in biological systems. In In Proceedings IPMU-98 7th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, La Sorbonne (pp. 1857–1864). Editions E.D.K.
LibreCat
 
[11]
1998 | Conference Paper | LibreCat-ID: 15303
Hüllermeier, E. (1998). Numerical solutions for fuzzy initial value problems. In P. Borne, M. Ksouri, & A. El Kamel (Eds.), in Proceedings CESA-98, IMACS Multiconference on Computaional Engineering in Systems Applications, Symposium on Applied Mathematics and Optimization, Nabeul-Hammamet, Tunesia.
LibreCat
 
[10]
1998 | Conference Paper | LibreCat-ID: 15289
Hüllermeier, E. (1998). A Bayesian approach to case-based probalistic reasoning. In In Proceedings IPMU-98 7th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, La Sorbonne (pp. 1296–1303). Editions E.D.K.
LibreCat
 
[9]
1997 | Conference Paper | LibreCat-ID: 15290
Hüllermeier, E. (1997). Hierarchical  propagation of uncertain constraints. In H. J. Zimmermann (Ed.), in Proceedings EUFIT-97 5th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany (pp. 953–957).
LibreCat
 
[8]
1997 | Conference Paper | LibreCat-ID: 15291
Hüllermeier, E. (1997). Approximation of fuzzy functions. In A. Grauel, W. Becker, & F. Belli (Eds.), in Proceedings 4.Internationaler Workshop Fuzzy-Neuro-Systeme. Soest Germany (pp. 374–381).
LibreCat
 
[7]
1996 | Conference Paper | LibreCat-ID: 15292
Hüllermeier, E. (1996). Approminate probabilistic reasoning with fuzzy constraints. In H. J. Zimmermann (Ed.), in Proceedings EUFIT-96 4th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany.
LibreCat
 
[6]
1996 | Conference Paper | LibreCat-ID: 15293
Hüllermeier, E. (1996). A fuzzy simulation method. In P. G. Anderson & K. Warwick (Eds.), International Symposium on Soft Computing, Reading U.K. (pp. B230–B236). ICSC Academic Press.
LibreCat
 
[5]
1996 | Conference Paper | LibreCat-ID: 15304
Hüllermeier, E. (1996). Hierarchical constraint propagation based on interval arithmetic. In in Proceedings Interval-96 international Conference on Interval Methods and Computer Aided Proofs in Science and Engineering, Würzburg (pp. 54–55).
LibreCat
 
[4]
1995 | Conference Paper | LibreCat-ID: 15305
Hüllermeier, E. (1995). Fuzzy polynomial and spline interpolation. In in Proceedings IMACS Symposium on Systems Analysis and Simulation, Berlin (pp. 401–404). Gordon and Breach Publishers.
LibreCat
 
[3]
1995 | Conference Paper | LibreCat-ID: 15294
Hüllermeier, E. (1995). Towards modelling of fuzzy functions. In H. J. Zimmermann (Ed.), in Proceedings EUFIT-95 3rd European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany (pp. 150–154).
LibreCat
 
[2]
1995 | Conference Paper | LibreCat-ID: 15295
Hüllermeier, E. (1995). Rule-based modelling in fuzzy simulation. In in Proceedings ISFL-95 International Symposium on Logic, Zürich (pp. B49–B56). ICSC Academic Press.
LibreCat
 
[1]
1994 | Conference Paper | LibreCat-ID: 15296
Hüllermeier, E. (1994). Approximate solution of a linear programming problem using a modified perceptron-algorithm. In H. J. Zimmermann (Ed.), in Proceedings EUFIT-94 2nd European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany (pp. 195–199).
LibreCat
 

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