Bernhard Pfahringer

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Citations	42638	16774
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Geoffrey HolmesUniversity of WaikatoVerified email at waikato.ac.nz
Eibe FrankProfessor, Department of Computer Science, University of WaikatoVerified email at cs.waikato.ac.nz
Albert BifetTélécom ParisTech & University of WaikatoVerified email at telecom-paristech.fr
Mark HallHonorary Research Associate, University of Waikato, New ZealandVerified email at cs.waikato.ac.nz
Jesse ReadÉcole PolytechniqueVerified email at polytechnique.edu
Ian H. WittenProfessor of Computer Science, University of Waikato, New ZealandVerified email at waikato.ac.nz
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University MainzVerified email at informatik.uni-mainz.de
Philipp KranenMicrosoft ResearchVerified email at microsoft.com
Thomas SeidlProfessor of Computer Science, Ludwig-Maximilians-Universität München (LMU Munich), MCML, GermanyVerified email at dbs.ifi.lmu.de
Hardy KremerDeloitte Analytics Institute, GermanyVerified email at deloitte.de
Heitor Murilo GomesLecturer in AI, Victoria University of WellingtonVerified email at vuw.ac.nz
Indrė ŽliobaitėUniversity of HelsinkiVerified email at helsinki.fi
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Henry GoukLecturer and RAEng Research Fellow, University of EdinburghVerified email at ed.ac.uk
Felipe Bravo-MarquezAssistant Professor, University of ChileVerified email at dcc.uchile.cl
Christoph Helmain silico toxicology gmbhVerified email at in-silico.ch
Ricard GavaldàUniversitat Politècnica de Catalunya + Amalfi AnalyticsVerified email at cs.upc.edu
Jean Paul BarddalPrograma de Pós-Graduação em Informática (PPGIa), Pontifícia Universidade Católica do ParanáVerified email at ppgia.pucpr.br
Jan N. van RijnLeiden UniversityVerified email at liacs.leidenuniv.nl
Quan SunThe University of WaikatoVerified email at students.waikato.ac.nz

Bernhard Pfahringer

Professor of Computer Science, University of Waikato

Verified email at waikato.ac.nz - Homepage

Machine Learning Data Mining


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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	24561	2009
Classifier chains for multi-label classification J Read, B Pfahringer, G Holmes, E Frank Machine learning 85, 333-359, 2011	2074	2011
Moa: Massive online analysis, a framework for stream classification and clustering A Bifet, G Holmes, B Pfahringer, P Kranen, H Kremer, T Jansen, T Seidl Proceedings of the first workshop on applications of pattern analysis, 44-50, 2010	2061	2010
Classifier chains for multi-label classification J Read, B Pfahringer, G Holmes, E Frank Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009	952	2009
New ensemble methods for evolving data streams A Bifet, G Holmes, B Pfahringer, R Kirkby, R Gavalda Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	775	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, 2010	731	2010
Multinomial naive bayes for text categorization revisited AM Kibriya, E Frank, B Pfahringer, G Holmes AI 2004: Advances in Artificial Intelligence: 17th Australian Joint …, 2005	572	2005
Multi-label classification using ensembles of pruned sets J Read, B Pfahringer, G Holmes 2008 eighth IEEE international conference on data mining, 995-1000, 2008	532	2008
Meta-Learning by Landmarking Various Learning Algorithms. B Pfahringer, H Bensusan, CG Giraud-Carrier ICML, 743-750, 2000	525	2000
Locally weighted naive bayes E Frank, M Hall, B Pfahringer arXiv preprint arXiv:1212.2487, 2012	474	2012
WEKA---Experiences with a Java Open-Source Project RR Bouckaert, E Frank, MA Hall, G Holmes, B Pfahringer, P Reutemann, ... The Journal of Machine Learning Research 11, 2533-2541, 2010	439	2010
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	395	2013
Leveraging bagging for evolving data streams A Bifet, G Holmes, B Pfahringer Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010	385	2010
Regularisation of neural networks by enforcing lipschitz continuity H Gouk, E Frank, B Pfahringer, MJ Cree Machine Learning 110, 393-416, 2021	345	2021
Winning the KDD99 classification cup: bagged boosting B Pfahringer ACM SIGKDD Explorations Newsletter 1 (2), 65-66, 2000	325	2000
Meka: a multi-label/multi-target extension to weka J Read, P Reutemann, B Pfahringer, G Holmes	296	2016
Machine learning for data streams: with practical examples in MOA A Bifet, R Gavalda, G Holmes, B Pfahringer MIT press, 2018	249	2018
Multiclass alternating decision trees G Holmes, B Pfahringer, R Kirkby, E Frank, M Hall Machine Learning: ECML 2002: 13th European Conference on Machine Learning …, 2002	248	2002
Smote for regression L Torgo, RP Ribeiro, B Pfahringer, P Branco Progress in Artificial Intelligence: 16th Portuguese Conference on …, 2013	221	2013
New options for hoeffding trees B Pfahringer, G Holmes, R Kirkby AI 2007: Advances in Artificial Intelligence: 20th Australian Joint …, 2007	211	2007

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