A Multitask Dynamic Graph Attention Autoencoder for Imbalanced Multilabel Time Series Classification

Download
Full text for this resource is not available from the Research Repository.
Export

Sun, Le ORCID: 0000-0002-4221-0327, Li, Chenyang, Ren, Yongjun and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2024) A Multitask Dynamic Graph Attention Autoencoder for Imbalanced Multilabel Time Series Classification. IEEE Transactions on Neural Networks and Learning Systems. ISSN 2162-237X

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/48579
DOI 10.1109/TNNLS.2024.3369064
Official URL https://ieeexplore.ieee.org/document/10456589
Subjects Current > FOR (2020) Classification > 4611 Machine learning
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords graph learning; multilabel classification; class imbalance; DGAAE-MT; personalized prediction; risk assessment
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login

CORE (COnnecting REpositories)