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17 Publications


2018 | Conference Paper | LibreCat-ID: 10184
Preference-Based Reinforcement Learning Using Dyad Ranking
D. Schäfer, E. Hüllermeier, in: Proc. 21st Int. Conference on Discovery Science (DS), 2018, pp. 161–175.
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2018 | Conference Paper | LibreCat-ID: 10153
Reduction Stumps for Multi-class Classification
F. Mohr, M.D. Wever, E. Hüllermeier, in: Proc. 17th Int. Symposium on Intelligent Data Analysis (IDA), 2018, pp. 225–237.
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2018 | Conference Paper | LibreCat-ID: 10185
Supporting the Cognitive Process in Annotation Tasks
N. Seemann, M. Geierhos, M.-L. Merten, D. Tophinke, M.D. Wever, E. Hüllermeier, in: Postersession Computerlinguistik Der 40. Jahrestagung Der Deutschen Gesellschaft Für Sprachwissenschaft, 2018.
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2018 | Conference Paper | LibreCat-ID: 10154
(WIP) Towards the Automated Composition of Machine Learning Services
F. Mohr, M.D. Wever, E. Hüllermeier, A. Faez, in: Proc. 15th Int. Conference on Services Computing (SCC), 2018, pp. 241–244.
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2018 | Conference Paper | LibreCat-ID: 10192
ML-Plan for Unlimited-Length Machine Learning Pipelines
M.D. Wever, F. Mohr, E. Hüllermeier, in: Int. Workshop on Automatic Machine Learning (AutoML) at ICML 2018, 2018.
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2018 | Journal Article | LibreCat-ID: 10274
On the effectiveness of heuristics for learning nested dichotomies: an empirial analysis
V. Melnikov, E. Hüllermeier, Machine Learning 107 (2018) 1537–1560.
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2018 | Conference (Editor) | LibreCat-ID: 10591
Research Directions for Principles of Data Management
S. Abiteboul, M. Arenas, P. Barceló, M. Bienvenu, D. Calvanese, C. David, R. Hull, E. Hüllermeier, B. Kimelfeld, L. Libkin, W. Martens, T. Milo, F. Murlak, F. Neven, M. Ortiz, T. Schwentick, J. Stoyanovich, J. Su, D. Suciu, V. Vianu, K. Yi, eds., Research Directions for Principles of Data Management, 2018.
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2018 | Conference Paper | LibreCat-ID: 10181
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty
V.-L. Nguyen, S. Destercke, M.-H. Masson, E. Hüllermeier, in: Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI), 2018, pp. 5089–5095.
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2018 | Conference Paper | LibreCat-ID: 10148
Ranking Distributions based on Noisy Sorting
A. El Mesaoudi-Paul, E. Hüllermeier, R. Busa-Fekete, in: Proc. 35th Int. Conference on Machine Learning (ICML), 2018, pp. 3469–3477.
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2018 | Conference Paper | LibreCat-ID: 10151
Programmatic Task Network Planning
F. Mohr, T. Lettmann, E. Hüllermeier, M.D. Wever, in: Proc. 1st ICAPS Workshop on Hierachical  Planning at the 28th Int. Conference on Automated Planning and Scheduling (ICAPS), 2018, pp. 31–39.
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2018 | Conference Paper | LibreCat-ID: 10149
A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart
M. Hesse, J. Timmermann, E. Hüllermeier, A. Trächtler, in: Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Procedia Manufacturing 24, 2018, pp. 15–20.
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2018 | Journal Article | LibreCat-ID: 10276
Dyad Ranking Using Plackett-Luce Models based on joint feature representations
D. Schäfer, E. Hüllermeier, Machine Learning 107 (2018) 903–941.
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2018 | Book Chapter | LibreCat-ID: 10783
Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators
I. Couso, E. Hüllermeier, in: S. Mostaghim, A. Nürnberger, C. Borgelt (Eds.), Frontiers in Computational Intelligence, Springer, 2018, pp. 31–46.
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2018 | Conference Paper | LibreCat-ID: 10152
On-the-Fly Service Construction with Prototypes
F. Mohr, M.D. Wever, E. Hüllermeier, in: Proc. 15th Int. Conference on Services Computing (SCC), 2018, pp. 225–232.
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2018 | Conference Paper | LibreCat-ID: 10188
Ensembles of evolved nested dichotomies for classificaton
M.D. Wever, F. Mohr, E. Hüllermeier, in: Proc. Genetic and Evolutionary Computation Conference (GECCO), 2018, pp. 561–568.
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2018 | Conference Paper | LibreCat-ID: 10145
Learning to Rank Based on Analogical Reasoning
M. Ahmadi Fahandar, E. Hüllermeier, in: Proc. 32 Nd AAAI Conference on Artificial Intelligence (AAAI), 2018, pp. 2951–2958.
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2018 | Journal Article | LibreCat-ID: 10784
ML-Plan: Automated machine learning via hierarchical planning
F. Mohr, M.D. Wever, E. Hüllermeier, Machine Learning 107 (2018) 1495–1515.
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