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Jesse Read
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Publications
- 2021
- [j26]Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank:
Classifier Chains: A Review and Perspectives. J. Artif. Intell. Res. 70: 683-718 (2021) - 2019
- [j20]Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem:
Correction to: Adaptive random forests for evolving data stream classification. Mach. Learn. 108(10): 1877-1878 (2019) - [i11]Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank:
Classifier Chains: A Review and Perspectives. CoRR abs/1912.13405 (2019) - 2017
- [j13]Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem:
Adaptive random forests for evolving data stream classification. Mach. Learn. 106(9-10): 1469-1495 (2017) - 2016
- [j10]Jesse Read, Peter Reutemann, Bernhard Pfahringer, Geoff Holmes:
MEKA: A Multi-label/Multi-target Extension to WEKA. J. Mach. Learn. Res. 17: 21:1-21:5 (2016) - 2015
- [j9]Indre Zliobaite, Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes:
Evaluation methods and decision theory for classification of streaming data with temporal dependence. Mach. Learn. 98(3): 455-482 (2015) - [c17]Albert Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoff Holmes, Bernhard Pfahringer:
Efficient Online Evaluation of Big Data Stream Classifiers. KDD 2015: 59-68 - 2013
- [c9]Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes, Indre Zliobaite:
CD-MOA: Change Detection Framework for Massive Online Analysis. IDA 2013: 92-103 - [c8]Albert Bifet, Jesse Read, Indre Zliobaite, Bernhard Pfahringer, Geoff Holmes:
Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them. ECML/PKDD (1) 2013: 465-479 - [c7]Albert Bifet, Bernhard Pfahringer, Jesse Read, Geoff Holmes:
Efficient data stream classification via probabilistic adaptive windows. SAC 2013: 801-806 - 2012
- [j2]Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer:
Scalable and efficient multi-label classification for evolving data streams. Mach. Learn. 88(1-2): 243-272 (2012) - [c6]Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read:
Stream Data Mining Using the MOA Framework. DASFAA (2) 2012: 309-313 - [c5]Jesse Read, Albert Bifet, Bernhard Pfahringer, Geoff Holmes:
Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data. IDA 2012: 313-323 - 2011
- [j1]Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank:
Classifier chains for multi-label classification. Mach. Learn. 85(3): 333-359 (2011) - [c4]Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl:
MOA: A Real-Time Analytics Open Source Framework. ECML/PKDD (3) 2011: 617-620 - [c3]Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer:
Streaming Multi-label Classification. WAPA 2011: 19-25 - 2009
- [c2]Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank:
Classifier Chains for Multi-label Classification. ECML/PKDD (2) 2009: 254-269 - 2008
- [c1]Jesse Read, Bernhard Pfahringer, Geoffrey Holmes:
Multi-label Classification Using Ensembles of Pruned Sets. ICDM 2008: 995-1000
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