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Eyke Hüllermeier
Eyke Hüllermeier
Professor of Computer Science, Paderborn University
Geverifieerd e-mailadres voor upb.de - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
Multilabel classification via calibrated label ranking
J Fürnkranz, E Hüllermeier, E Loza Mencía, K Brinker
Machine learning 73 (2), 133-153, 2008
9562008
Preference learning and ranking by pairwise comparison
J Fürnkranz, E Hüllermeier
Preference learning, 65-82, 2011
7682011
Preference learning and ranking by pairwise comparison
J Fürnkranz, E Hüllermeier
Preference learning, 65-82, 2010
7662010
Preference learning and ranking by pairwise comparison
J Fürnkranz, E Hüllermeier
Preference learning, 65-82, 2010
7662010
Preference learning
J Fürnkranz, E Hüllermeier
Encyclopedia of Machine Learning, 789-795, 2010
766*2010
Label ranking by learning pairwise preferences
E Hüllermeier, J Fürnkranz, W Cheng, K Brinker
Artificial Intelligence 172 (16-17), 1897-1916, 2008
6562008
Bayes optimal multilabel classification via probabilistic classifier chains
K Dembczynski, W Cheng, E Hüllermeier
ICML, 2010
5712010
Combining instance-based learning and logistic regression for multilabel classification
W Cheng, E Hüllermeier
Machine Learning 76 (2), 211-225, 2009
5052009
An approach to modelling and simulation of uncertain dynamical systems
E Hüllermeier
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 1997
4801997
FURIA: an algorithm for unordered fuzzy rule induction
J Hühn, E Hüllermeier
Data Mining and Knowledge Discovery 19 (3), 293-319, 2009
4792009
On label dependence and loss minimization in multi-label classification
K Dembczyński, W Waegeman, W Cheng, E Hüllermeier
Machine Learning 88 (1), 5-45, 2012
440*2012
Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods
E Hüllermeier, W Waegeman
Machine Learning 110 (3), 457-506, 2021
3432021
Online clustering of parallel data streams
J Beringer, E Hüllermeier
Data & knowledge engineering 58 (2), 180-204, 2006
3352006
Open challenges for data stream mining research
G Krempl, I Žliobaite, D Brzeziński, E Hüllermeier, M Last, V Lemaire, ...
ACM SIGKDD explorations newsletter 16 (1), 1-10, 2014
3082014
Pairwise preference learning and ranking
J Fürnkranz, E Hüllermeier
European conference on machine learning, 145-156, 2003
2882003
Fuzzy methods in machine learning and data mining: Status and prospects
E Hüllermeier
Fuzzy sets and Systems 156 (3), 387-406, 2005
2642005
A systematic approach to the assessment of fuzzy association rules
D Dubois, E Hüllermeier, H Prade
Data Mining and Knowledge Discovery 13 (2), 167-192, 2006
2362006
Grouping, overlap, and generalized bientropic functions for fuzzy modeling of pairwise comparisons
H Bustince, M Pagola, R Mesiar, E Hullermeier, F Herrera
IEEE Transactions on Fuzzy Systems 20 (3), 405-415, 2011
2272011
Preferences in AI: An overview
C Domshlak, E Hüllermeier, S Kaci, H Prade
Artificial Intelligence 175 (7-8), 1037-1052, 2011
2182011
Learning from ambiguously labeled examples
E Hüllermeier, J Beringer
Intelligent Data Analysis 10 (5), 419-439, 2006
2032006
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Artikelen 1–20