MCPNet++: Interpretable Classification Models via Multi-Level Concept Prototypes.

Wang BS, Wang CY, Chiu WC

DOI: 10.1109/tpami.2026.3680506
Published: 2026 Aug
Container: IEEE transactions on pattern analysis and machine intelligence
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1109/tpami.2026.3680506,
  title = {MCPNet++: Interpretable Classification Models via Multi-Level Concept Prototypes.},
  author = {Wang BS and Wang CY and Chiu WC},
  year = {2026},
  journal = {IEEE transactions on pattern analysis and machine intelligence},
  doi = {10.1109/tpami.2026.3680506},
  url = {https://doi.org/10.1109/tpami.2026.3680506}
}

RIS

TY  - JOUR
TI  - MCPNet++: Interpretable Classification Models via Multi-Level Concept Prototypes.
AU  - Wang BS
AU  - Wang CY
AU  - Chiu WC
PY  - 2026
JO  - IEEE transactions on pattern analysis and machine intelligence
DO  - 10.1109/tpami.2026.3680506
UR  - https://doi.org/10.1109/tpami.2026.3680506
ER  -

APA

BS, W., CY, W., & WC, C. (2026). MCPNet++: Interpretable Classification Models via Multi-Level Concept Prototypes.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2026.3680506

Source records

pubmed · retrieved 2026-09-25T02:18:45.868Z
europe-pmc · retrieved 2026-09-25T02:18:45.893Z