Bernhard Pfahringer - Google Scholar Citations

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	All	Since 2014
Citations	29751	20431
h-index	45	39
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Co-authors

Geoffrey HolmesVerified email at waikato.ac.nz
Eibe FrankProfessor, Department of Computer Science, University of WaikatoVerified email at cs.waikato.ac.nz
Albert BifetTélécom ParisTechVerified email at telecom-paristech.fr
Mark HallHonorary Research Associate, University of Waikato, New ZealandVerified email at cs.waikato.ac.nz
Ian H. WittenProfessor of Computer Science, University of Waikato, New ZealandVerified email at cs.waikato.ac.nz
Jesse ReadÉcole PolytechniqueVerified email at polytechnique.edu
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University MainzVerified email at informatik.uni-mainz.de
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Indrė ŽliobaitėAssistant Professor, University of HelsinkiVerified email at helsinki.fi
Christoph Helmain silico toxicology gmbhVerified email at in-silico.ch
Ricard GavaldàUniversitat Politècnica de CatalunyaVerified email at cs.upc.edu
Felipe Bravo-MarquezAssistant Professor, University of ChileVerified email at dcc.uchile.cl
Hendrik BlockeelDepartment of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
Philipp KranenMicrosoft ResearchVerified email at microsoft.com
Jan N. van RijnColumbia UniversityVerified email at liacs.leidenuniv.nl
Thomas SeidlProfessor of Computer Science, Ludwig-Maximilians-Universität München (LMU Munich), GermanyVerified email at dbs.ifi.lmu.de
Hardy KremerDeloitte Analytics Institute, GermanyVerified email at deloitte.de
Quan SunThe University of WaikatoVerified email at students.waikato.ac.nz
Gerhard WidmerProfessor of Computer Science, Johannes Kepler University LinzVerified email at jku.at
Jean Paul BarddalPrograma de Pós-Graduação em Informática (PPGIa), Pontifícia Universidade Católica do ParanáVerified email at ppgia.pucpr.br

Bernhard Pfahringer

Professor of Computer Science, University of Waikato

Verified email at waikato.ac.nz - Homepage

Machine Learning Data Mining


Title	Cited by	Year
The WEKA data mining software: an update M Hall, E Frank, G Holmes, B Pfahringer, P Reutemann, IH Witten ACM SIGKDD explorations newsletter 11 (1), 10-18, 2009	19176	2009
Moa: Massive online analysis A Bifet, G Holmes, R Kirkby, B Pfahringer Journal of Machine Learning Research 11 (May), 1601-1604, 2010	1210	2010
Classifier chains for multi-label classification J Read, B Pfahringer, G Holmes, E Frank Machine learning 85 (3), 333, 2011	1050	2011
Classifier chains for multi-label classification J Read, B Pfahringer, G Holmes, E Frank Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009	560	2009
New ensemble methods for evolving data streams A Bifet, G Holmes, B Pfahringer, R Kirkby, R Gavaldà Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	535	2009
Weka-a machine learning workbench for data mining E Frank, M Hall, G Holmes, R Kirkby, B Pfahringer, IH Witten, L Trigg Data mining and knowledge discovery handbook, 1269-1277, 2009	427	2009
Meta-Learning by Landmarking Various Learning Algorithms. B Pfahringer, H Bensusan, CG Giraud-Carrier ICML, 743-750, 2000	393	2000
WEKAâˆ’Experiences with a Java Open-Source Project RR Bouckaert, E Frank, MA Hall, G Holmes, B Pfahringer, P Reutemann, ... Journal of Machine Learning Research 11 (Sep), 2533-2541, 2010	353	2010
Locally weighted naive bayes E Frank, M Hall, B Pfahringer Proceedings of the Nineteenth conference on Uncertainty in Artificial …, 2002	348	2002
Multi-label classification using ensembles of pruned sets J Read, B Pfahringer, G Holmes 8th IEEE international conference on data mining, 995-1000, 2008	328	2008
Multinomial naive bayes for text categorization revisited AM Kibriya, E Frank, B Pfahringer, G Holmes Australasian Joint Conference on Artificial Intelligence, 488-499, 2004	279	2004
Winning the KDD99 classification cup: bagged boosting B Pfahringer SIGKDD explorations 1 (2), 65-66, 2000	252	2000
Active learning with drifting streaming data I Žliobaitė, A Bifet, B Pfahringer, G Holmes IEEE transactions on neural networks and learning systems 25 (1), 27-39, 2013	224	2013
Multiclass alternating decision trees G Holmes, B Pfahringer, R Kirkby, E Frank, M Hall European Conference on Machine Learning, 161-172, 2002	191	2002
Leveraging bagging for evolving data streams A Bifet, G Holmes, B Pfahringer Joint European conference on machine learning and knowledge discovery in …, 2010	180	2010
A two-level learning method for generalized multi-instance problems N Weidmann, E Frank, B Pfahringer European Conference on Machine Learning, 468-479, 2003	171	2003
Prediction of ordinal classes using regression trees S Kramer, G Widmer, B Pfahringer, M De Groeve Fundamenta Informaticae 47 (1-2), 1-13, 2001	151	2001
Meka: a multi-label/multi-target extension to weka J Read, P Reutemann, B Pfahringer, G Holmes The Journal of Machine Learning Research 17 (1), 667-671, 2016	149	2016
New options for hoeffding trees B Pfahringer, G Holmes, R Kirkby Australasian Joint Conference on Artificial Intelligence, 90-99, 2007	146	2007
Compression-based discretization of continuous attributes B Pfahringer Machine Learning Proceedings 1995, 456-463, 1995	130	1995

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