Fidelity-Constrained Rule-Based Knowledge Distillation of Random Forests for Compact Breast Cancer Grade Classification

Mert Büyükdede, Esma Gülfem Aktaş

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DOI: 10.3390/app16178574
Published: 2026-08-28
Container: Applied Sciences
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/app16178574,
  title = {Fidelity-Constrained Rule-Based Knowledge Distillation of Random Forests for Compact Breast Cancer Grade Classification},
  author = {Mert Büyükdede and Esma Gülfem Aktaş},
  year = {2026},
  journal = {Applied Sciences},
  doi = {10.3390/app16178574},
  url = {https://doi.org/10.3390/app16178574}
}

RIS

TY  - JOUR
TI  - Fidelity-Constrained Rule-Based Knowledge Distillation of Random Forests for Compact Breast Cancer Grade Classification
AU  - Mert Büyükdede
AU  - Esma Gülfem Aktaş
PY  - 2026
JO  - Applied Sciences
DO  - 10.3390/app16178574
UR  - https://doi.org/10.3390/app16178574
ER  -

APA

Büyükdede, M., & Aktaş, E. G. (2026). Fidelity-Constrained Rule-Based Knowledge Distillation of Random Forests for Compact Breast Cancer Grade Classification. Applied Sciences. https://doi.org/10.3390/app16178574

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crossref · retrieved 2026-09-25T16:22:34.635Z