DeepCNN: A Dual Approach to Fault Localization and Repair in Convolutional Neural Networks

Mohammad Wardat, Abdullah Al-Alaj

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DOI: 10.1109/access.2024.3384981
Published: 2024
Container: IEEE Access
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/access.2024.3384981,
  title = {DeepCNN: A Dual Approach to Fault Localization and Repair in Convolutional Neural Networks},
  author = {Mohammad Wardat and Abdullah Al-Alaj},
  year = {2024},
  journal = {IEEE Access},
  doi = {10.1109/access.2024.3384981},
  url = {https://doi.org/10.1109/access.2024.3384981}
}

RIS

TY  - JOUR
TI  - DeepCNN: A Dual Approach to Fault Localization and Repair in Convolutional Neural Networks
AU  - Mohammad Wardat
AU  - Abdullah Al-Alaj
PY  - 2024
JO  - IEEE Access
DO  - 10.1109/access.2024.3384981
UR  - https://doi.org/10.1109/access.2024.3384981
ER  -

APA

Wardat, M., & Al-Alaj, A. (2024). DeepCNN: A Dual Approach to Fault Localization and Repair in Convolutional Neural Networks. IEEE Access. https://doi.org/10.1109/access.2024.3384981

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crossref · retrieved 2026-09-25T09:09:25.836Z