Johannes Fürnkranz

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Eyke HüllermeierProfessor of Computer Science, Paderborn UniversityEmail yang diverifikasi di upb.de
Loza Mencía, EneldoKnowledge Engineering Group, TU DarmstadtEmail yang diverifikasi di eneldo.net
Nada LavracJozef Stefan InstituteEmail yang diverifikasi di ijs.si
Frederik JanssenTU DarmstadtEmail yang diverifikasi di ke.tu-darmstadt.de
Jinseok NamAmazon Alexa AIEmail yang diverifikasi di amazon.com
Christian WirthAI Engineer, Continental Automotive GmbHEmail yang diverifikasi di christianwirth.net
Tomáš KliegrVysoká škola ekonomická v PrazeEmail yang diverifikasi di vse.cz
Weiwei ChengSenior Principal Scientist at ZalandoEmail yang diverifikasi di zalando.de
Johann PetrakAustrian Research Institute for Artificial Intelligence (OFAI)Email yang diverifikasi di sheffield.ac.uk
Michael RappLudwig-Maximilians-University MunichEmail yang diverifikasi di ifi.lmu.de
Peter FlachProfessor of Artificial Intelligence, Department of Computer Science, University of BristolEmail yang diverifikasi di bristol.ac.uk
Arno KnobbeLIACS, Leiden UniversityEmail yang diverifikasi di liacs.leidenuniv.nl
Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, UAE; Affiliated Professor, INSAIT, BulgariaEmail yang diverifikasi di cs.tu-darmstadt.de
Markus ZopfTU Darmstadt, GermanyEmail yang diverifikasi di ke.tu-darmstadt.de
Gerhard WidmerProfessor of Computer Science, Johannes Kepler University LinzEmail yang diverifikasi di jku.at
Timo BertramJohannes Kepler University LinzEmail yang diverifikasi di faw.jku.at
Gerhard NeumannProfessor, Karlsruhe Institute of Technology (KIT)Email yang diverifikasi di robot-learning.de
Heiko PaulheimProfessor for Data Science at University of Mannheim, GermanyEmail yang diverifikasi di informatik.uni-mannheim.de
Francesco C. BillariProfessor of Demography, Bocconi UniversityEmail yang diverifikasi di unibocconi.it
Alexia Fürnkranz-PrskawetzProfessor of Mathematical Economics, Vienna University of TechnologyEmail yang diverifikasi di econ.tuwien.ac.at

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Johannes Fürnkranz

Johannes Kepler University, Linz

Email yang diverifikasi di faw.jku.at - Beranda

Interpretability Preference Learning Rule Learning Multilabel Classification Game Playing


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Multilabel classification via calibrated label ranking J Fürnkranz, E Hüllermeier, E Loza Mencía, K Brinker Machine learning 73, 133-153, 2008	1152	2008
Preference learning J Fürnkranz, E Hüllermeier Preference learning, 2011	941*	2011
Separate-and-conquer rule learning J Fürnkranz Artificial Intelligence Review 13, 3-54, 1999	791	1999
Foundations of Rule Learning J Fürnkranz, D Gamberger, N Lavrac Springer-Verlag, 2012	755*	2012
Label ranking by learning pairwise preferences E Hüllermeier, J Fürnkranz, W Cheng, K Brinker Artificial Intelligence 172 (16-17), 1897-1916, 2008	743	2008
Round robin classification J Fürnkranz Journal of Machine Learning Research 2 (Mar), 721-747, 2002	688	2002
Incremental reduced error pruning J Fürnkranz, G Widmer Proceedings of the International Conference on Machine Learning, 70-77, 1994	599	1994
Large-scale multi-label text classification—revisiting neural networks J Nam, J Kim, EL Mencía, I Gurevych, J Fürnkranz European Conference on Machine learning and Knowledge Discovery in Databases …, 2014	508	2014
A survey of preference-based reinforcement learning methods C Wirth, R Akrour, G Neumann, J Fürnkranz Journal of Machine Learning Research 18 (136), 1-46, 2017	440	2017
A study using n-gram features for text categorization J Fürnkranz Austrian Research Institute for Artifical Intelligence 3 (1998), 1-10, 1998	375	1998
Pairwise preference learning and ranking J Fürnkranz, E Hüllermeier European conference on machine learning, 145-156, 2003	339	2003
Roc ‘n’rule learning—towards a better understanding of covering algorithms J Fürnkranz, PA Flach Machine learning 58, 39-77, 2005	325	2005
Proceedings of the 27th international conference on machine learning (ICML-10) J Fürnkranz, T Joachims	307*	2010
Efficient pairwise multilabel classification for large-scale problems in the legal domain E Loza Mencía, J Fürnkranz Joint European conference on machine learning and knowledge discovery in …, 2008	235	2008
Maximizing subset accuracy with recurrent neural networks in multi-label classification J Nam, E Loza Mencía, HJ Kim, J Fürnkranz Advances in neural information processing systems 30, 2017	226	2017
Unsupervised generation of data mining features from linked open data H Paulheim, J Fümkranz Proceedings of the 2nd international conference on web intelligence, mining …, 2012	211	2012
Pruning algorithms for rule learning J Fürnkranz Machine learning 27, 139-172, 1997	203	1997
Exploiting structural information for text classification on the WWW J Fürnkranz International Symposium on Intelligent Data Analysis, 487-497, 1999	197	1999
An evaluation of grading classifiers AK Seewald, J Fürnkranz International symposium on intelligent data analysis, 115-124, 2001	195	2001
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm J Fürnkranz, E Hüllermeier, W Cheng, SH Park Machine learning 89, 123-156, 2012	190	2012

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