Small Data Challenge: Structural Analysis and Optimization of Convolutional Neural Networks with a Small Sample Size

Rhett N. D’souza, Po-Yao Huang, Fang-Cheng Yeh

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DOI: 10.1101/402610
Published: 2018-08-28
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Publisher: openRxiv
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Cite this work

BibTeX

@article{allodium:10.1101/402610,
  title = {Small Data Challenge: Structural Analysis and Optimization of Convolutional Neural Networks with a Small Sample Size},
  author = {Rhett N. D’souza and Po-Yao Huang and Fang-Cheng Yeh},
  year = {2018},
  doi = {10.1101/402610},
  url = {https://doi.org/10.1101/402610}
}

RIS

TY  - JOUR
TI  - Small Data Challenge: Structural Analysis and Optimization of Convolutional Neural Networks with a Small Sample Size
AU  - Rhett N. D’souza
AU  - Po-Yao Huang
AU  - Fang-Cheng Yeh
PY  - 2018
DO  - 10.1101/402610
UR  - https://doi.org/10.1101/402610
ER  -

APA

D’souza, R. N., Huang, P., & Yeh, F. (2018). Small Data Challenge: Structural Analysis and Optimization of Convolutional Neural Networks with a Small Sample Size. https://doi.org/10.1101/402610

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crossref · retrieved 2026-09-25T04:47:55.655Z