Albert Bifet

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	All	Since 2019
Citations	23668	15237
h-index	57	47
i10-index	151	133

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Bernhard PfahringerProfessor of Computer Science, University of WaikatoVerified email at waikato.ac.nz
Geoffrey HolmesUniversity of WaikatoVerified email at waikato.ac.nz
Heitor Murilo GomesSenior Lecturer in AI, Victoria University of WellingtonVerified email at vuw.ac.nz
Jesse ReadÉcole PolytechniqueVerified email at polytechnique.edu
Joao GamaProfessor, Faculty of Economics, University of Porto, and INESC TECVerified email at fep.up.pt
Ricard GavaldàUniversitat Politècnica de Catalunya + Amalfi AnalyticsVerified email at cs.upc.edu
Talel AbdessalemTélécom Paris, Institut Polytechnique de ParisVerified email at telecom-paris.fr
Indrė ŽliobaitėProfessor, University of HelsinkiVerified email at helsinki.fi
Philipp KranenMicrosoft ResearchVerified email at microsoft.com
Mykola PechenizkiyEindhoven University of TechnologyVerified email at tue.nl
Jacob MontielAmazonVerified email at amazon.com
Eibe FrankProfessor, Department of Computer Science, University of WaikatoVerified email at cs.waikato.ac.nz
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
Jean Paul BarddalPrograma de Pós-Graduação em Informática (PPGIa), Pontifícia Universidade Católica do ParanáVerified email at ppgia.pucpr.br
Gianmarco De Francisci MoralesPrincipal Researcher, CENTAIVerified email at acm.org
Wei FanFidelity InvestmentVerified email at fmr.com
Fabrício EnembreckPontificia Universidade Católica do ParanáVerified email at ppgia.pucpr.br
Rafael Morales-BuenoCatedrático de Lenguajes y Sistemas Informáticos, Universidad de MálagaVerified email at uma.es
José del Campo-ÁvilaUniversidad de MálagaVerified email at uma.es

Albert Bifet

Télécom ParisTech & University of Waikato

Verified email at telecom-paristech.fr - Homepage

AI Machine Learning Data Streams Concept Drift Big Data


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A survey on concept drift adaptation J Gama, I Žliobaitė, A Bifet, M Pechenizkiy, A Bouchachia ACM computing surveys (CSUR) 46 (4), 1-37, 2014	3552	2014
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	2264	2010
Learning from time-changing data with adaptive windowing A Bifet, R Gavalda Proceedings of the 2007 SIAM international conference on data mining, 443-448, 2007	2042	2007
Mining big data: current status, and forecast to the future W Fan, A Bifet ACM SIGKDD explorations newsletter 14 (2), 1-5, 2013	1151	2013
Early drift detection method M Baena-Garcıa, J del Campo-Ávila, R Fidalgo, A Bifet, R Gavalda, ... Fourth international workshop on knowledge discovery from data streams 6, 77-86, 2006	1102	2006
Sentiment knowledge discovery in twitter streaming data A Bifet, E Frank International conference on discovery science, 1-15, 2010	851	2010
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	838	2009
Adaptive random forests for evolving data stream classification HM Gomes, A Bifet, J Read, JP Barddal, F Enembreck, B Pfharinger, ... Machine Learning 106, 1469-1495, 2017	746	2017
Adaptive learning from evolving data streams A Bifet, R Gavalda Advances in Intelligent Data Analysis VIII: 8th International Symposium on …, 2009	634	2009
A survey on ensemble learning for data stream classification HM Gomes, JP Barddal, F Enembreck, A Bifet ACM Computing Surveys (CSUR) 50 (2), 1-36, 2017	633	2017
Leveraging bagging for evolving data streams A Bifet, G Holmes, B Pfahringer Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010	465	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	441	2013
Scikit-multiflow: A multi-output streaming framework J Montiel, J Read, A Bifet, T Abdessalem Journal of Machine Learning Research 19 (72), 1-5, 2018	430	2018
Machine learning for data streams: with practical examples in MOA A Bifet, R Gavalda, G Holmes, B Pfahringer MIT press, 2023	347	2023
Data stream mining a practical approach A Bifet, R Kirkby Center for Open Source Innovation, 2009	298	2009
Machine learning for streaming data: state of the art, challenges, and opportunities HM Gomes, J Read, A Bifet, JP Barddal, J Gama ACM SIGKDD Explorations Newsletter 21 (2), 6-22, 2019	287	2019
Spiking neural networks and online learning: An overview and perspectives JL Lobo, J Del Ser, A Bifet, N Kasabov Neural Networks 121, 88-100, 2020	278	2020
Mining big data in real time A Bifet informatica 37 (1), 2013	242	2013
River: machine learning for streaming data in python J Montiel, M Halford, SM Mastelini, G Bolmier, R Sourty, R Vaysse, ... Journal of Machine Learning Research 22 (110), 1-8, 2021	241	2021
SAMOA: scalable advanced massive online analysis. GDF Morales, A Bifet J. Mach. Learn. Res. 16 (1), 149-153, 2015	237	2015

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