Albert Bifet

Citirano

	Sve	Od 2020.
Citati	25064	14337
H-indeks	59	46
i10-indeks	159	135

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Bernhard PfahringerProfessor of Computer Science, University of WaikatoPotvrđena adresa e-pošte na waikato.ac.nz
Geoffrey HolmesUniversity of WaikatoPotvrđena adresa e-pošte na waikato.ac.nz
Heitor Murilo GomesSenior Lecturer in AI, Victoria University of WellingtonPotvrđena adresa e-pošte na vuw.ac.nz
Jesse ReadÉcole PolytechniquePotvrđena adresa e-pošte na polytechnique.edu
Joao GamaProfessor, Faculty of Economics, University of Porto, and INESC TECPotvrđena adresa e-pošte na fep.up.pt
Ricard GavaldàUniversitat Politècnica de Catalunya + Amalfi AnalyticsPotvrđena adresa e-pošte na cs.upc.edu
Indrė ŽliobaitėProfessor, University of HelsinkiPotvrđena adresa e-pošte na helsinki.fi
Talel AbdessalemTélécom Paris, Institut Polytechnique de ParisPotvrđena adresa e-pošte na telecom-paris.fr
Jacob MontielAmazonPotvrđena adresa e-pošte na amazon.com
Philipp KranenMicrosoft ResearchPotvrđena adresa e-pošte na microsoft.com
Mykola PechenizkiyEindhoven University of TechnologyPotvrđena adresa e-pošte na tue.nl
Eibe FrankProfessor, Department of Computer Science, University of WaikatoPotvrđena adresa e-pošte na cs.waikato.ac.nz
Thomas SeidlProfessor of Computer Science, LMU Munich, Munich Center for Machine Learning (MCML)Potvrđena adresa e-pošte na dbs.ifi.lmu.de
Hardy KremerDeloitte Analytics Institute, GermanyPotvrđena adresa e-pošte na deloitte.de
Jean Paul BarddalPrograma de Pós-Graduação em Informática (PPGIa), Pontifícia Universidade Católica do Paraná (PUCPR)Potvrđena adresa e-pošte na ppgia.pucpr.br
Gianmarco De Francisci MoralesPrincipal Researcher, CENTAIPotvrđena adresa e-pošte na acm.org
Wei FanFidelity InvestmentPotvrđena adresa e-pošte na fmr.com
Fabrício EnembreckPontificia Universidade Católica do ParanáPotvrđena adresa e-pošte na ppgia.pucpr.br
Rafael Morales-BuenoCatedrático de Lenguajes y Sistemas Informáticos, Universidad de MálagaPotvrđena adresa e-pošte na uma.es
José del Campo-ÁvilaUniversidad de MálagaPotvrđena adresa e-pošte na uma.es

Prati

Albert Bifet

Télécom ParisTech & University of Waikato

Potvrđena adresa e-pošte na telecom-paristech.fr - Početna stranica

AI Machine Learning Data Streams Concept Drift Big Data


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	3643	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	2308	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	2156	2007
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	1166	2006
Mining big data: current status, and forecast to the future W Fan, A Bifet ACM SIGKDD explorations newsletter 14 (2), 1-5, 2013	1159	2013
Sentiment knowledge discovery in twitter streaming data A Bifet, E Frank International conference on discovery science, 1-15, 2010	852	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	845	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	796	2017
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	665	2017
Adaptive learning from evolving data streams A Bifet, R Gavalda International symposium on intelligent data analysis, 249-260, 2009	655	2009
Leveraging bagging for evolving data streams A Bifet, G Holmes, B Pfahringer Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010	477	2010
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	466	2018
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	447	2013
Machine Learning and Knowledge Discovery in Databases: European Conference, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II W Daelemans, K Morik Springer, 2008	424*	2008
Machine learning for data streams: with practical examples in MOA A Bifet, R Gavalda, G Holmes, B Pfahringer MIT press, 2023	388	2023
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	316	2020
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	310	2019
Data stream mining a practical approach A Bifet, R Kirkby The university of Waikato, 2009	299	2009
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	288	2021
Mining big data in real time A Bifet informatica 37 (1), 2013	240	2013

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