Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Daphne Yao"'
Autor:
Danfeng (Daphne) Yao1,2,3 Danfeng@vt.edu
Publikováno v:
Communications of the ACM. Jan2024, Vol. 67 Issue 1, p47-49. 3p.
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-14 (2022)
Afrose, Song et al. highlight deficiencies in the widely accepted one-machine-learning-model-fits-all approach. The authors develop a bias correction method that produces specialized machine learning-based prognostication models for underrepresented
Externí odkaz:
https://doaj.org/article/183d12d2847b472493ad44e3dc21eb7d
Publikováno v:
In Computers & Security May 2020 92
Publikováno v:
Digital Threats: Research and Practice. 4:1-18
Enterprise environment often screens large-scale (millions of lines of code) codebases with static analysis tools to find bugs and vulnerabilities. Parfait is a static code analysis tool used in Oracle to find security vulnerabilities in industrial c
Autor:
Danfeng Daphne Yao, Sazzadur Rahaman, Ya Xiao, Sharmin Afrose, Miles Frantz, Ke Tian, Na Meng, Cristina Cifuentes, Yang Zhao, Nicholas Allen, Nathan Keynes, Barton P. Miller, Elisa Heymann, Murat Kantarcioglu, Fahad Shaon
Publikováno v:
IEEE Security & Privacy. 20:43-52
Publikováno v:
IEEE Transactions on Dependable and Secure Computing. 19:3790-3803
The use of machine learning in healthcare has grown rapidly in recent years, with the potential to improve diagnosis, treatment, and patient outcomes. However, issues of bias and fairness in these models must be addressed to ensure equitable treatmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9535e0a0be4aeedf95f8ac40b47ab515
https://doi.org/10.1101/2023.05.02.23289405
https://doi.org/10.1101/2023.05.02.23289405
Autor:
Zhengzhi Liu, Chengyu Deng, Zirui Zhou, Ya Xiao, Shan Jiang, Bohan Zhu, Lynette B. Naler, Xiaoting Jia, Danfeng (Daphne) Yao, Chang Lu
Spatially-resolved genomic profiling is critical for understanding biology in a spatially ordered organ such as mammalian brain. Single-cell spatial genomic assays were developed recently for this purpose but they remain costly and labor-intensive fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88c2cd74d66d017ad60962792cf8baa6
https://doi.org/10.1101/2022.11.24.517865
https://doi.org/10.1101/2022.11.24.517865
Publikováno v:
Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings.
Publikováno v:
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension.