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2020 – today
- 2024
[j2]Nathan Gaw, Jing Li
, Hyunsoo Yoon:
A Novel Semi-Supervised Learning Model for Smartphone-Based Health Telemonitoring. IEEE Trans Autom. Sci. Eng. 21(1): 428-441 (2024)- [i3]Jiayu Liu, Shancong Mou, Nathan Gaw, Yinan Wang:
Uni-3DAD: GAN-Inversion Aided Universal 3D Anomaly Detection on Model-free Products. CoRR abs/2408.16201 (2024) - 2021
- [j1]Hyunsoo Yoon, Nathan Gaw:
A novel multi-task linear mixed model for smartphone-based telemonitoring. Expert Syst. Appl. 164: 113809 (2021) - 2020
- [i2]Nishanth Thumbavanam Arun, Nathan Gaw, Praveer Singh, Ken Chang, Katharina Viktoria Hoebel, Jay B. Patel, Mishka Gidwani, Jayashree Kalpathy-Cramer:
Assessing the validity of saliency maps for abnormality localization in medical imaging. CoRR abs/2006.00063 (2020) - [i1]Nishanth Thumbavanam Arun, Nathan Gaw, Praveer Singh, Ken Chang, Mehak Aggarwal, Bryan Chen, Katharina Hoebel, Sharut Gupta, Jay B. Patel, Mishka Gidwani, Julius Adebayo, Matthew D. Li, Jayashree Kalpathy-Cramer:
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging. CoRR abs/2008.02766 (2020)
2010 – 2019
- 2019
- [b1]Nathan Gaw:
Novel Semi-Supervised Learning Models to Balance Data Inclusivity and Usability in Healthcare Applications. Arizona State University, Tempe, USA, 2019
Coauthor Index
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