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Jesse Read
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Classifier chains for multi-label classification
J Read, B Pfahringer, G Holmes, E Frank
Machine learning 85, 333-359, 2011
19812011
Classifier chains for multi-label classification
J Read, B Pfahringer, G Holmes, E Frank
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009
9192009
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
5122008
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
4922017
Scikit-multiflow: A multi-output streaming framework
J Montiel, J Read, A Bifet, T Abdessalem
The Journal of Machine Learning Research 19 (1), 2915-2914, 2018
2952018
Meka: a multi-label/multi-target extension to weka
J Read, P Reutemann, B Pfahringer, G Holmes
2852016
A pruned problem transformation method for multi-label classification
J Read
Proc. 2008 New Zealand Computer Science Research Student Conference (NZCSRS …, 2008
2832008
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
1982015
Scalable and efficient multi-label classification for evolving data streams
J Read, A Bifet, G Holmes, B Pfahringer
Machine Learning 88, 243-272, 2012
1502012
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
1462019
Batch-incremental versus instance-incremental learning in dynamic and evolving data
J Read, A Bifet, B Pfahringer, G Holmes
Advances in Intelligent Data Analysis XI: 11th International Symposium, IDA …, 2012
1412012
Cooperative parallel particle filters for online model selection and applications to urban mobility
L Martino, J Read, V Elvira, F Louzada
Digital Signal Processing 60, 172-185, 2017
1392017
Evaluation methods and decision theory for classification of streaming data with temporal dependence
I Žliobaitė, A Bifet, J Read, B Pfahringer, G Holmes
Machine Learning 98, 455-482, 2015
1322015
Scalable multi-label classification
J Read
University of Waikato, 2010
1312010
Efficient monte carlo methods for multi-dimensional learning with classifier chains
J Read, L Martino, D Luengo
Pattern Recognition 47 (3), 1535-1546, 2014
1202014
Pitfalls in benchmarking data stream classification and how to avoid them
A Bifet, J Read, I Žliobaitė, B Pfahringer, G Holmes
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013
1052013
Efficient data stream classification via probabilistic adaptive windows
A Bifet, B Pfahringer, J Read, G Holmes
Proceedings of the 28th annual ACM symposium on applied computing, 801-806, 2013
1022013
Independent doubly adaptive rejection Metropolis sampling within Gibbs sampling
L Martino, J Read, D Luengo
IEEE Transactions on Signal Processing 63 (12), 3123-3138, 2015
1002015
Scalable multi-output label prediction: From classifier chains to classifier trellises
J Read, L Martino, PM Olmos, D Luengo
Pattern Recognition 48 (6), 2096-2109, 2015
872015
River: machine learning for streaming data in python
J Montiel, M Halford, SM Mastelini, G Bolmier, R Sourty, R Vaysse, ...
The Journal of Machine Learning Research 22 (1), 4945-4952, 2021
732021
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Artikelen 1–20