Nathan B. Gaw

According to our database, Nathan B. Gaw authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

Student-Pilot Error Prediction via Multimodal Physiological Signals and Tree-Based Models.

Gregory Barry, Chancellor Johnstone, William N. Caballero, Phillip R. Jenkins, Chun-An Chou, Yinan Wang, Christine Beauchene, Hrishikesh Rao, Nathan B. Gaw

IEEE Trans. Cogn. Dev. Syst., February, 2026

2024

Garbage In ≠ Garbage Out: Exploring GAN Resilience to Image Training Set Degradations.

Nicholas Crino, Bruce A. Cox, Nathan B. Gaw

Expert Syst. Appl., 2024

Responsible machine learning for United States Air Force pilot candidate selection.

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

Decis. Support Syst., 2024

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

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

CoRR, 2024

Novel Deep Learning Image Registration Techniques with Application to Microscopy Images of Metal Alloys.

Nathan A. Johnston, Nathan B. Gaw, John Wertz, Bruce A. Cox, Erik Blasch, Matthew Cherry, Sean M. O'Rourke, Laura Homa

Proceedings of the Dynamic Data Driven Applications Systems - 5th International Conference, 2024

2023

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

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

Expert Syst. Appl., November, 2023

Implementing Efficient Dynamic Threat Avoidance Routing Based on Dijkstra's Shortest Path Algorithm in the Advanced Framework for Simulation, Integration, and Modeling (AFSIM).

Dante C. Reid, Lance E. Champagne, Nathan B. Gaw

Proceedings of the Winter Simulation Conference, 2023