Johannes Fürnkranz

Cited by

	All	Since 2019
Citations	14882	6327
h-index	51	33
i10-index	148	89

1200

600

300

900

19981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202120222023202448 61 51 82 117 167 260 292 298 330 362 388 546 417 657 573 643 611 692 732 926 947 1060 1027 1154 1106 1021

Public access

View all

80 articles

6 articles

available

not available

Based on funding mandates

Co-authors

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

Johannes Fürnkranz

Johannes Kepler University, Linz

Verified email at faw.jku.at - Homepage

Interpretability Preference Learning Rule Learning Multilabel Classification Game Playing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Multilabel classification via calibrated label ranking J Fürnkranz, E Hüllermeier, E Loza Mencía, K Brinker Machine learning 73, 133-153, 2008	1142	2008
Preference learning J Fürnkranz, E Hüllermeier Preference learning, 2011	914*	2011
Separate-and-conquer rule learning J Fürnkranz Artificial Intelligence Review 13, 3-54, 1999	781	1999
Label ranking by learning pairwise preferences E Hüllermeier, J Fürnkranz, W Cheng, K Brinker Artificial Intelligence 172 (16-17), 1897-1916, 2008	741	2008
Round robin classification J Fürnkranz The Journal of Machine Learning Research 2, 721-747, 2002	696	2002
Incremental reduced error pruning J Fürnkranz, G Widmer Proceedings of the International Conference on Machine Learning, 70-77, 1994	597	1994
Foundations of Rule Learning J Fürnkranz, D Gamberger, N Lavrac Springer-Verlag, 2012	574	2012
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	499	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	417	2017
A study using n-gram features for text categorization J Fürnkranz Austrian Research Institute for Artifical Intelligence 3 (1998), 1-10, 1998	376	1998
Pairwise preference learning and ranking J Fürnkranz, E Hüllermeier European conference on machine learning, 145-156, 2003	337	2003
Roc ‘n’rule learning—towards a better understanding of covering algorithms J Fürnkranz, PA Flach Machine learning 58, 39-77, 2005	322	2005
Proceedings of the 27th international conference on machine learning (ICML-10) J Fürnkranz, T Joachims	293*	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	234	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	226	2012
Pruning algorithms for rule learning J Fürnkranz Machine learning 27, 139-172, 1997	202	1997
An evaluation of grading classifiers AK Seewald, J Fürnkranz International symposium on intelligent data analysis, 115-124, 2001	200	2001
Exploiting structural information for text classification on the WWW J Fürnkranz International Symposium on Intelligent Data Analysis, 487-497, 1999	195	1999
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	187	2012

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors