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Title
ACDC: Online unsupervised cross-domain adaptation
Authors
Keywords
-
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 253, Issue -, Pages 109486
Publisher
Elsevier BV
Online
2022-07-23
DOI
10.1016/j.knosys.2022.109486
References
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Related references
Note: Only part of the references are listed.- Automatic Online Multi-Source Domain Adaptation
- (2021) Xie Renchunzi et al. INFORMATION SCIENCES
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- (2019) Behzad Bozorgtabar et al. PATTERN RECOGNITION
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- (2018) Luís A.M. Pereira et al. PATTERN RECOGNITION
- Characterizing concept drift
- (2016) Geoffrey I. Webb et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Online and Non-Parametric Drift Detection Methods Based on Hoeffding’s Bounds
- (2015) Isvani Frias-Blanco et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- A survey of multi-source domain adaptation
- (2015) Shiliang Sun et al. Information Fusion
- A survey on concept drift adaptation
- (2014) João Gama et al. ACM COMPUTING SURVEYS
- Online Transfer Learning
- (2014) Peilin Zhao et al. ARTIFICIAL INTELLIGENCE
- On evaluating stream learning algorithms
- (2012) João Gama et al. MACHINE LEARNING
- Facing the reality of data stream classification: coping with scarcity of labeled data
- (2011) Mohammad M. Masud et al. KNOWLEDGE AND INFORMATION SYSTEMS
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- A theory of learning from different domains
- (2009) Shai Ben-David et al. MACHINE LEARNING
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