Where and How: Mining Convertible Outlying Aspect for Outlier Interpretation

Lili Guan, Lei Duan, Xinye Wang, Zhuoling Li, Haiying Wang

Open source

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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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

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