Chancellor Johnstone

According to our database, Chancellor Johnstone authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

Exact and Approximate Conformal Inference for Multi-Output Regression.

Chancellor Johnstone, Eugène Ndiaye

Proceedings of the Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, 2025

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

Multi-Objective Multi-Commodity Flow Optimization for Wartime Planning with Cyber-Effects.

Alex Hoffendahl, Chancellor Johnstone, Alex Stephens, Richard Dill, Lance E. Champagne

Proceedings of the 11th International Network Optimization 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

2022

Exact and Approximate Conformal Inference in Multiple Dimensions.

Chancellor Johnstone, Eugène Ndiaye

CoRR, 2022

Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods.

Alex Contarino, Christine M. Schubert-Kabban, Chancellor Johnstone, Fairul Mohd-Zaid

CoRR, 2022

2021

Conformal uncertainty sets for robust optimization.

Chancellor Johnstone, Bruce Cox

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021