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William N. Caballero
William N. Caballero
Assistant Professor of Data Science, Air Force Institute of Technology
Verified email at afit.edu
Title
Cited by
Cited by
Year
Decision support issues in automated driving systems
WN Caballero, D Rios Insua, D Banks
International Transactions in Operational Research 30 (3), 1216-1244, 2023
31*2023
Predicting success in United States Air Force pilot training using machine learning techniques
PR Jenkins, WN Caballero, RR Hill
Socio-Economic Planning Sciences 79, 101121, 2022
232022
Identifying behaviorally robust strategies for normal form games under varying forms of uncertainty
WN Caballero, BJ Lunday, RP Uber
European Journal of Operational Research 288 (3), 971-982, 2021
182021
Managing driving modes in automated driving systems
DR Insua, WN Caballero, R Naveiro
Transportation Science, 2022
132022
Modeling ethical and operational preferences in automated driving systems
WN Caballero, R Naveiro, D Rios Insua
Decision Analysis 19 (1), 21-43, 2022
132022
Adversarial machine learning and adversarial risk analysis in multi-source command and control
WN Caballero, M Friend, E Blasch
Signal Processing, Sensor/Information Fusion, and Target Recognition XXX …, 2021
132021
Toward automated instructor pilots in legacy air force systems: Physiology-based flight difficulty classification via machine learning
WN Caballero, N Gaw, PR Jenkins, C Johnstone
Expert Systems with Applications 231, 120711, 2023
112023
Robust influence modeling under structural and parametric uncertainty: an Afghan counternarcotics use case
WN Caballero, BJ Lunday
Decision Support Systems 128, 113161, 2020
102020
Influence modeling: Mathematical programming representations of persuasion under either risk or uncertainty
WN Caballero, BJ Lunday
European Journal of Operational Research 278 (1), 266-282, 2019
92019
Transportation labor cost reduction via vehicle platooning: Alternative models and solution methods
WN Caballero, F Jaehn, BJ Lunday
Transportation Science 56 (6), 1549-1572, 2022
72022
Leveraging behavioral game theory to inform military operations planning
WN Caballero, BJ Lunday, RF Deckro
Military Operations Research 25 (1), 5-22, 2020
72020
Regulating the rebound effect in the traveling purchaser problem
WN Caballero, BJ Lunday, F Meissner
European Journal of Operational Research 317 (3), 660-677, 2024
52024
Manipulating hidden-Markov-model inferences by corrupting batch data
WN Caballero, JM Camacho, T Ekin, R Naveiro
Computers & Operations Research 162, 106478, 2024
52024
Informing national security policy by modeling adversarial inducement and its governance
WN Caballero, BJ Lunday, RF Deckro, MN Pachter
Socio-Economic Planning Sciences 69, 100709, 2020
52020
Poisoning finite-horizon Markov decision processes at design time
WN Caballero, PR Jenkins, AJ Keith
Computers & Operations Research 129, 105185, 2021
42021
On large language models in national security applications
WN Caballero, PR Jenkins
arXiv preprint arXiv:2407.03453, 2024
32024
Some statistical challenges in automated driving systems
WN Caballero, D Rios Insua, R Naveiro
Applied Stochastic Models in Business and Industry 39 (5), 629-652, 2023
32023
Defense and security planning under resource uncertainty and multi‐period commitments
WN Caballero, D Banks, K Wu
Naval Research Logistics (NRL) 69 (7), 1009-1026, 2022
32022
Challenges and solutions with exponentiation constraints using decision variables via the BARON commercial solver
WN Caballero, AG Kline, BJ Lunday
2018 IISE Annual Conference Proceedings, 1331-1336, 2018
32018
Adversarial Risk Analysis for Automated Lane-Changing in Heterogeneous Traffic
R Naveiro, D Ríos Insua, WN Caballero
International Conference on Algorithmic Decision Theory, 128-143, 2024
2*2024
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