Bernhard Pfahringer

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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 cs.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), GermanyVerified email at dbs.ifi.lmu.de
Hardy KremerDeloitte Analytics Institute, GermanyVerified email at deloitte.de
Indrė ŽliobaitėUniversity of HelsinkiVerified email at helsinki.fi
Christoph Helmain silico toxicology gmbhVerified email at in-silico.ch
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Felipe Bravo-MarquezAssistant Professor, University of ChileVerified email at dcc.uchile.cl
Ricard GavaldàUniversitat Politècnica de CatalunyaVerified email at cs.upc.edu
Heitor Murilo GomesSenior Research Fellow, Department of Computer Science, University of WaikatoVerified email at waikato.ac.nz
Henry GoukPostdoctoral Research Associate, University of EdinburghVerified email at inf.ed.ac.uk
Hendrik BlockeelDepartment of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
Jean Paul BarddalPrograma de Pós-Graduação em Informática (PPGIa), Pontifícia Universidade Católica do ParanáVerified email at ppgia.pucpr.br
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	22443	2009
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	1645	2010
Classifier chains for multi-label classification J Read, B Pfahringer, G Holmes, E Frank Machine learning 85 (3), 333, 2011	1489	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	743	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	648	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	563	2009
Meta-Learning by Landmarking Various Learning Algorithms. B Pfahringer, H Bensusan, CG Giraud-Carrier ICML, 743-750, 2000	451	2000
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	426	2008
Locally weighted naive bayes E Frank, M Hall, B Pfahringer arXiv preprint arXiv:1212.2487, 2012	419	2012
Multinomial naive bayes for text categorization revisited AM Kibriya, E Frank, B Pfahringer, G Holmes Australasian Joint Conference on Artificial Intelligence, 488-499, 2004	410	2004
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	395	2010
Preliminary Mariner 9 report on the geology of Mars JF McCauley, MH Carr, JA Cutts, WK Hartmann, H Masursky, DJ Milton, ... Icarus 17 (2), 289-327, 1972	316	1972
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	295	2013
Winning the KDD99 classification cup: Bagged boosting B Pfahringer ACM SIGKDD Explorations Newsletter 1 (2), 65-66, 2000	285	2000
Leveraging bagging for evolving data streams A Bifet, G Holmes, B Pfahringer Joint European conference on machine learning and knowledge discovery in …, 2010	267	2010
Meka: a multi-label/multi-target extension to weka J Read, P Reutemann, B Pfahringer, G Holmes	226	2016
Multiclass alternating decision trees G Holmes, B Pfahringer, R Kirkby, E Frank, M Hall European Conference on Machine Learning, 161-172, 2002	217	2002
A two-level learning method for generalized multi-instance problems N Weidmann, E Frank, B Pfahringer European Conference on Machine Learning, 468-479, 2003	193	2003
New options for hoeffding trees B Pfahringer, G Holmes, R Kirkby Australasian Joint Conference on Artificial Intelligence, 90-99, 2007	175	2007
Prediction of ordinal classes using regression trees S Kramer, G Widmer, B Pfahringer, M De Groeve Fundamenta Informaticae 47 (1-2), 1-13, 2001	163	2001

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