Nathan Gaw

According to our database, Nathan Gaw authored at least 7 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

H2G2-Net: A Hierarchical Heterogeneous Graph Generative Network Framework for Discovery of Multi-Modal Physiological Responses.

Haidong Gu, Nathan Gaw, Yinan Wang, Chancellor Johnstone, Christine Beauchene, Sophia Yuditskaya, Hrishikesh Rao, Chun-An Chou

CoRR, 2024

2023

Toward automated instructor pilots in legacy Air Force systems: Physiology-based flight difficulty classification via machine learning.

William N. Caballero, Nathan Gaw, Phillip R. Jenkins, Chancellor Johnstone

Expert Syst. Appl., November, 2023

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