Bernhard Pfahringer - Google Scholar Citations

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	All	Since 2014
Citations	30982	21510
h-index	47	40
i10-index	108	82

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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
Quan SunThe University of WaikatoVerified email at students.waikato.ac.nz
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
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	19809	2009
Moa: Massive online analysis A Bifet, G Holmes, R Kirkby, B Pfahringer Journal of Machine Learning Research 11 (May), 1601-1604, 2010	1300	2010
Classifier chains for multi-label classification J Read, B Pfahringer, G Holmes, E Frank Machine learning 85 (3), 333, 2011	1118	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	583	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	550	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	458	2009
Meta-Learning by Landmarking Various Learning Algorithms. B Pfahringer, H Bensusan, CG Giraud-Carrier ICML, 743-750, 2000	401	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	367	2010
Locally weighted naive bayes E Frank, M Hall, B Pfahringer Proceedings of the Nineteenth conference on Uncertainty in Artificial …, 2002	357	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	344	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	309	2004
Winning the KDD99 classification cup: bagged boosting B Pfahringer SIGKDD explorations 1 (2), 65-66, 2000	260	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	237	2013
Multiclass alternating decision trees G Holmes, B Pfahringer, R Kirkby, E Frank, M Hall European Conference on Machine Learning, 161-172, 2002	194	2002
Leveraging bagging for evolving data streams A Bifet, G Holmes, B Pfahringer Joint European conference on machine learning and knowledge discovery in …, 2010	191	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	175	2003
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	158	2016
Prediction of ordinal classes using regression trees S Kramer, G Widmer, B Pfahringer, M De Groeve Fundamenta Informaticae 47 (1-2), 1-13, 2001	153	2001
New options for hoeffding trees B Pfahringer, G Holmes, R Kirkby Australasian Joint Conference on Artificial Intelligence, 90-99, 2007	150	2007
Compression-based discretization of continuous attributes B Pfahringer Machine Learning Proceedings 1995, 456-463, 1995	131	1995

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