Nathan Gaw

According to our database, Nathan Gaw authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Novel Semi-Supervised Learning Model for Smartphone-Based Health Telemonitoring.

Nathan Gaw, Jing Li, Hyunsoo Yoon

IEEE Trans Autom. Sci. Eng., January, 2024

Uni-3DAD: GAN-Inversion Aided Universal 3D Anomaly Detection on Model-free Products.

Jiayu Liu, Shancong Mou, Nathan Gaw, Yinan Wang

CoRR, 2024

2021

A novel multi-task linear mixed model for smartphone-based telemonitoring.

Hyunsoo Yoon, Nathan Gaw

Expert Syst. Appl., 2021

2020

Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging.

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

CoRR, 2020

Assessing the validity of saliency maps for abnormality localization in medical imaging.

Nishanth Thumbavanam Arun, Nathan Gaw, Praveer Singh, Ken Chang, Katharina Viktoria Hoebel, Jay B. Patel, Mishka Gidwani, Jayashree Kalpathy-Cramer

CoRR, 2020

2019

Novel Semi-Supervised Learning Models to Balance Data Inclusivity and Usability in Healthcare Applications.

Nathan Gaw

PhD thesis, 2019