Albert Bifet
Albert Bifet
Télécom ParisTech & University of Waikato
Verified email at - Homepage
Cited by
Cited by
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
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
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
Mining big data: current status, and forecast to the future
W Fan, A Bifet
ACM SIGKDD explorations newsletter 14 (2), 1-5, 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
Sentiment knowledge discovery in twitter streaming data
A Bifet, E Frank
International conference on discovery science, 1-15, 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
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
Adaptive learning from evolving data streams
A Bifet, R Gavalda
Advances in Intelligent Data Analysis VIII: 8th International Symposium on …, 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
Leveraging bagging for evolving data streams
A Bifet, G Holmes, B Pfahringer
Machine Learning and Knowledge Discovery in Databases: European Conference …, 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
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
Machine learning for data streams: with practical examples in MOA
A Bifet, R Gavalda, G Holmes, B Pfahringer
MIT press, 2023
Data stream mining a practical approach
A Bifet, R Kirkby
Center for Open Source Innovation, 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
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
Mining big data in real time
A Bifet
informatica 37 (1), 2013
SAMOA: scalable advanced massive online analysis.
GDF Morales, A Bifet
J. Mach. Learn. Res. 16 (1), 149-153, 2015
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
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