Where and How: Mining Convertible Outlying Aspect for Outlier Interpretation
- DOI
- 10.1109/tnnls.2026.3654261
- Published
- 2026-08
- Container
- IEEE Transactions on Neural Networks and Learning Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3654261,
title = {Where and How: Mining Convertible Outlying Aspect for Outlier Interpretation},
author = {Lili Guan and Lei Duan and Xinye Wang and Zhuoling Li and Haiying Wang},
year = {2026},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
doi = {10.1109/tnnls.2026.3654261},
url = {https://doi.org/10.1109/tnnls.2026.3654261}
}RIS
TY - JOUR TI - Where and How: Mining Convertible Outlying Aspect for Outlier Interpretation AU - Lili Guan AU - Lei Duan AU - Xinye Wang AU - Zhuoling Li AU - Haiying Wang PY - 2026 JO - IEEE Transactions on Neural Networks and Learning Systems DO - 10.1109/tnnls.2026.3654261 UR - https://doi.org/10.1109/tnnls.2026.3654261 ER -
APA
Guan, L., Duan, L., Wang, X., Li, Z., & Wang, H. (2026). Where and How: Mining Convertible Outlying Aspect for Outlier Interpretation. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2026.3654261
Source records
- crossref · retrieved 2026-09-26T23:34:24.906Z