Improving generalizability of ML-enabled software through domain specification-Reference-Cited by-同舟云学术

Improving generalizability of ML-enabled software through domain specification

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI
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Author:

Barzamini Hamed¹,Rahimi Mona¹,Shahzad Murteza¹,Alhoori Hamed¹

Affiliation:

1. Northern Illinois University

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3522664.3528589

Reference77 articles.

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3. Hessam Bagherinezhad , Maxwell Horton , Mohammad Rastegari , and Ali Farhadi . 2018. Label refinery: Improving imagenet classification through label progression. arXiv preprint arXiv:1805.02641 ( 2018 ). Hessam Bagherinezhad, Maxwell Horton, Mohammad Rastegari, and Ali Farhadi. 2018. Label refinery: Improving imagenet classification through label progression. arXiv preprint arXiv:1805.02641 (2018).

4. SURF: Speeded Up Robust Features

5. Christopher M Bishop. 2006. Pattern recognition and machine learning. springer. Christopher M Bishop. 2006. Pattern recognition and machine learning . springer.

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