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Adil El Mesaoudi-Paul
Adil El Mesaoudi-Paul
Research Assistant, Paderborn University
Verified email at upb.de
Title
Cited by
Cited by
Year
Online rank elicitation for plackett-luce: A dueling bandits approach
B Szörényi, R Busa-Fekete, A Paul, E Hüllermeier
Advances in neural information processing systems 28, 2015
962015
Preference-based online learning with dueling bandits: A survey
V Bengs, R Busa-Fekete, A El Mesaoudi-Paul, E Hüllermeier
Journal of Machine Learning Research 22 (7), 1-108, 2021
872021
Pool-based realtime algorithm configuration: A preselection bandit approach
A El Mesaoudi-Paul, D Weiß, V Bengs, E Hüllermeier, K Tierney
Learning and Intelligent Optimization: 14th International Conference, LION …, 2020
132020
Predicting the electricity consumption of buildings: an improved CBR approach
A Shabani, A Paul, R Platon, E Hüllermeier
Case-Based Reasoning Research and Development: 24th International Conference …, 2016
82016
Ranking distributions based on noisy sorting
A El Mesaoudi-Paul, E Hüllermeier, R Busa-Fekete
International Conference on Machine Learning, 3472-3480, 2018
62018
A CBR Approach to the Angry Birds Game.
A Paul, E Hüllermeier
ICCBR (Workshops), 68-77, 2015
42015
Online preselection with context information under the Plackett-Luce model
AE Mesaoudi-Paul, V Bengs, E Hüllermeier
arXiv preprint arXiv:2002.04275, 2020
32020
Online F-measure optimization
B Szörényi, R Busa-Fekete, A Paul, E Hüllermeier
MIT Press, 2015
2015
Random tournaments: who plays with whom and how many times?
A Paul, R Busa-Fekete, E Hüllermeier
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Articles 1–9