Eyke Hüllermeier
Eyke Hüllermeier
Professor of Computer Science, Paderborn University
Verified email at upb.de - Homepage
Title
Cited by
Cited by
Year
Multilabel classification via calibrated label ranking
J Fürnkranz, E Hüllermeier, EL Mencía, K Brinker
Machine learning 73 (2), 133-153, 2008
8342008
Preference learning and ranking by pairwise comparison
J Fürnkranz, E Hüllermeier
Preference learning, 65-82, 2011
6642011
Preference learning and ranking by pairwise comparison
J Fürnkranz, E Hüllermeier
Preference learning, 65-82, 2010
6632010
Preference learning and ranking by pairwise comparison
J Fürnkranz, E Hüllermeier
Preference learning, 65-82, 2010
6632010
Preference learning
J Fürnkranz, E Hüllermeier
Encyclopedia of Machine Learning, 789-795, 2010
663*2010
Label ranking by learning pairwise preferences
E Hüllermeier, J Fürnkranz, W Cheng, K Brinker
Artificial Intelligence 172 (16-17), 1897-1916, 2008
5932008
Bayes optimal multilabel classification via probabilistic classifier chains
K Dembczynski, W Cheng, E Hüllermeier
ICML, 2010
5182010
An approach to modelling and simulation of uncertain dynamical systems
E Hüllermeier
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 1997
4561997
Combining instance-based learning and logistic regression for multilabel classification
W Cheng, E Hüllermeier
Machine Learning 76 (2-3), 211-225, 2009
4472009
FURIA: an algorithm for unordered fuzzy rule induction
J Hühn, E Hüllermeier
Data Mining and Knowledge Discovery 19 (3), 293-319, 2009
4172009
On label dependence and loss minimization in multi-label classification
K Dembczyński, W Waegeman, W Cheng, E Hüllermeier
Machine Learning 88 (1-2), 5-45, 2012
392*2012
Online clustering of parallel data streams
J Beringer, E Hüllermeier
Data & knowledge engineering 58 (2), 180-204, 2006
3242006
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
2732014
Pairwise preference learning and ranking
J Fürnkranz, E Hüllermeier
European conference on machine learning, 145-156, 2003
2652003
Fuzzy methods in machine learning and data mining: Status and prospects
E Hüllermeier
Fuzzy sets and Systems 156 (3), 387-406, 2005
2442005
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
2292006
Preferences in AI: An overview
C Domshlak, E Hüllermeier, S Kaci, H Prade
Artificial Intelligence 175 (7-8), 1037-1052, 2011
2022011
Automatisierungstechnik
J Lunze
Automatisierungstechnik, 2016
1712016
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
1692011
Learning from ambiguously labeled examples
E Hüllermeier, J Beringer
Intelligent Data Analysis 10 (5), 419-439, 2006
1592006
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