Bernhard Pfahringer 个人学术档案

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	总计	2019 年至今
引用	45900	16256
h 指数	60	43
i10 指数	157	116

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Geoffrey HolmesUniversity of Waikato在 waikato.ac.nz 的电子邮件经过验证
Eibe FrankProfessor, Department of Computer Science, University of Waikato在 cs.waikato.ac.nz 的电子邮件经过验证
Albert BifetTélécom ParisTech & University of Waikato在 telecom-paristech.fr 的电子邮件经过验证
Mark HallHonorary Research Associate, University of Waikato, New Zealand在 cs.waikato.ac.nz 的电子邮件经过验证
Ian H. WittenProfessor of Computer Science, University of Waikato, New Zealand在 waikato.ac.nz 的电子邮件经过验证
Jesse ReadÉcole Polytechnique在 polytechnique.edu 的电子邮件经过验证
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University Mainz在 informatik.uni-mainz.de 的电子邮件经过验证
Heitor Murilo GomesSenior Lecturer in AI, Victoria University of Wellington在 vuw.ac.nz 的电子邮件经过验证
Philipp KranenMicrosoft Research在 microsoft.com 的电子邮件经过验证
Thomas SeidlProfessor of Computer Science, Ludwig-Maximilians-Universität München (LMU Munich), MCML, Germany在 dbs.ifi.lmu.de 的电子邮件经过验证
Hardy KremerDeloitte Analytics Institute, Germany在 deloitte.de 的电子邮件经过验证
Indrė ŽliobaitėUniversity of Helsinki在 helsinki.fi 的电子邮件经过验证
Joaquin VanschorenEindhoven University of Technology在 tue.nl 的电子邮件经过验证
Henry GoukAssistant Professor, University of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Felipe Bravo-MarquezAssociate Professor, University of Chile在 dcc.uchile.cl 的电子邮件经过验证
Ricard GavaldàUniversitat Politècnica de Catalunya + Amalfi Analytics在 cs.upc.edu 的电子邮件经过验证
Christoph Helmain silico toxicology gmbh在 in-silico.ch 的电子邮件经过验证
Jean Paul BarddalPrograma de Pós-Graduação em Informática (PPGIa), Pontifícia Universidade Católica do Paraná在 ppgia.pucpr.br 的电子邮件经过验证
Hendrik BlockeelDepartment of Computer Science, KU Leuven在 cs.kuleuven.be 的电子邮件经过验证
Jan N. van RijnLeiden University在 liacs.leidenuniv.nl 的电子邮件经过验证

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Bernhard Pfahringer

Professor of Computer Science, University of Waikato

在 waikato.ac.nz 的电子邮件经过验证 - 首页

Machine Learning Data Mining


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	25300	2009
Classifier chains for multi-label classification J Read, B Pfahringer, G Holmes, E Frank Machine learning 85, 333-359, 2011	2383	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	2248	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	1044	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	831	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	814	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	649	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	580	2008
Meta-Learning by Landmarking Various Learning Algorithms. B Pfahringer, H Bensusan, CG Giraud-Carrier ICML, 743-750, 2000	533	2000
Locally weighted naive bayes E Frank, M Hall, B Pfahringer arXiv preprint arXiv:1212.2487, 2012	498	2012
Regularisation of neural networks by enforcing lipschitz continuity H Gouk, E Frank, B Pfahringer, MJ Cree Machine Learning 110, 393-416, 2021	493	2021
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	461	2010
Leveraging bagging for evolving data streams A Bifet, G Holmes, B Pfahringer Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010	455	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	436	2013
Smote for regression L Torgo, RP Ribeiro, B Pfahringer, P Branco Portuguese conference on artificial intelligence, 378-389, 2013	343	2013
Machine learning for data streams: with practical examples in MOA A Bifet, R Gavalda, G Holmes, B Pfahringer MIT press, 2023	338	2023
Meka: a multi-label/multi-target extension to weka J Read, P Reutemann, B Pfahringer, G Holmes Journal of Machine Learning Research 17 (21), 1-5, 2016	329	2016
Winning the KDD99 classification cup: Bagged boosting B Pfahringer ACM SIGKDD Explorations Newsletter 1 (2), 65-66, 2000	329	2000
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	262	2002
Efficient online evaluation of big data stream classifiers A Bifet, G de Francisci Morales, J Read, G Holmes, B Pfahringer Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015	230	2015

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