ACDC: Online unsupervised cross-domain adaptation

Automatic Online Multi-Source Domain Adaptation

(2021) Xie Renchunzi et al.   INFORMATION SCIENCES

Discriminative feature alignment: Improving transferability of unsupervised domain adaptation by Gaussian-guided latent alignment

(2021) Jing Wang et al.   PATTERN RECOGNITION

Learning Robust Feature Transformation for Domain Adaptation

(2021) Wei Wang et al.   PATTERN RECOGNITION

Online deep transferable dictionary learning

(2021) Sheng Wu et al.   PATTERN RECOGNITION

Challenging tough samples in unsupervised domain adaptation

(2020) Lin Zuo et al.   PATTERN RECOGNITION

Learning adaptive geometry for unsupervised domain adaptation

(2020) Baoyao Yang et al.   PATTERN RECOGNITION

ExprADA: Adversarial domain adaptation for facial expression analysis

(2019) Behzad Bozorgtabar et al.   PATTERN RECOGNITION

Semi-supervised transfer subspace for domain adaptation

(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