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Chancellor Johnstone
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2020 – today
- 2024
- [j2]Devin Wasilefsky, William N. Caballero
, Chancellor Johnstone
Responsible machine learning for United States Air Force pilot candidate selection. Decis. Support Syst. 180: 114198 (2024) - [c2]Alex Hoffendahl, Chancellor Johnstone, Alex Stephens, Richard Dill, Lance E. Champagne:
Multi-Objective Multi-Commodity Flow Optimization for Wartime Planning with Cyber-Effects. INOC 2024: 16-21 - [i3]Haidong Gu, Nathan B. Gaw, Yinan Wang, Chancellor Johnstone, Christine Beauchene, Sophia Yuditskaya, Hrishikesh Rao, Chun-An Chou:
H2G2-Net: A Hierarchical Heterogeneous Graph Generative Network Framework for Discovery of Multi-Modal Physiological Responses. CoRR abs/2401.02905 (2024) - 2023
- [j1]William N. Caballero
Toward automated instructor pilots in legacy Air Force systems: Physiology-based flight difficulty classification via machine learning. Expert Syst. Appl. 231: 120711 (2023) - 2022
- [i2]Alex Contarino, Christine M. Schubert-Kabban, Chancellor Johnstone, Fairul Mohd-Zaid:
Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods. CoRR abs/2210.05354 (2022) - [i1]Chancellor Johnstone, Eugène Ndiaye:
Exact and Approximate Conformal Inference in Multiple Dimensions. CoRR abs/2210.17405 (2022) - 2021
- [c1]Chancellor Johnstone, Bruce Cox:
Conformal uncertainty sets for robust optimization. COPA 2021: 72-90
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