Search Results - "Caballero, William N."

Bayesian Graph Traversal.

Authors: Caballero, William N. Jenkins, Phillip R. Banks, David et al.

Source: Decision Analysis (INFORMS). Mar2026, Vol. 23 Issue 1, p11-27. 17p.

On Large Language Models in National Security Applications.

Authors: Caballero, William N. Jenkins, Phillip R.

Source: Stat. Jun2025, Vol. 14 Issue 2, p1-10. 10p.

Multipolar Security Cooperation Planning: A Multiobjective, Adversarial-Risk-Analysis Approach.

Authors: Caballero, William N. Gharst, Ethan Banks, David et al.

Source: Decision Analysis (INFORMS). Mar2023, Vol. 20 Issue 1, p16-39. 24p.

Transportation Labor Cost Reduction via Vehicle Platooning: Alternative Models and Solution Methods.

Authors: Caballero, William N. Jaehn, Florian Lunday, Brian J.

Source: Transportation Science (INFORMS). Nov/Dec2022, Vol. 56 Issue 6, p1549-1572. 24p.

Managing Driving Modes in Automated Driving Systems.

Authors: Ríos Insua, David Caballero, William N. Naveiro, Roi

Source: Transportation Science (INFORMS). Sep/Oct2022, Vol. 56 Issue 5, p1259-1278. 20p.

Indiscriminate disruption of conditional inference on multivariate Gaussians.

Authors: Caballero, William N. LaRosa, Matthew Fisher, Alexander A. et al.

Source: European Journal of Operational Research. Nov2025, Vol. 327 Issue 1, p191-202. 12p.

Subjects: Distribution (Probability theory), Machine learning, Inference (Logic), Decision making, Mathematical variables, Scientific observation, Quadratic programming

Modeling Ethical and Operational Preferences in Automated Driving Systems.

Authors: Caballero, William N. Naveiro, Roi Ríos Insua, David

Source: Decision Analysis (INFORMS). Mar2022, Vol. 19 Issue 1, p21-43. 23p.

Some statistical challenges in automated driving systems.

Authors: Caballero, William N. Rios Insua, David Naveiro, Roi

Source: Applied Stochastic Models in Business & Industry. Sep2023, Vol. 39 Issue 5, p629-652. 24p.

Decision support issues in automated driving systems.

Authors: Caballero, William N. Ríos Insua, David Banks, David

Source: International Transactions in Operational Research. May2023, Vol. 30 Issue 3, p1216-1244. 29p. 3 Diagrams, 2 Charts.

Adaptive course scheduling for the school of advanced air and space studies.

Authors: Caballero, William N. Jenkins, Phillip R. Lunday, Brian J.

Source: Omega. Sep2026, Vol. 143, pN.PAG-N.PAG. 1p.

Regulating the rebound effect in the traveling purchaser problem.

Authors: Caballero, William N. Lunday, Brian J. Meissner, Finn

Source: European Journal of Operational Research. Sep2024, Vol. 317 Issue 3, p660-677. 18p.

Subjects: Bilevel programming, Technological innovations, Climate change, Energy consumption, Package tours

Defense and security planning under resource uncertainty and multi‐period commitments.

Authors: Caballero, William N. Banks, David Wu, Keru

Source: Naval Research Logistics. Oct2022, Vol. 69 Issue 7, p1009-1026. 18p.

Leveraging Behavioral Game Theory to Inform Military Operations Planning.

Authors: Caballero, William N. Lunday, Brian J. Deckro, Richard F.

Source: Military Operations Research. 2020, Vol. 25 Issue 1, p5-22. 18p.

Incentive Compatible Cost Sharing of a Coalition Initiative with Probabilistic Inspection and Penalties for Misrepresentation.

Authors: Caballero, William N. Lunday, Brian J. Ahner, Darryl K.

Source: Group Decision & Negotiation. Dec2020, Vol. 29 Issue 6, p1021-1055. 35p.

Identifying behaviorally robust strategies for normal form games under varying forms of uncertainty.

Authors: Caballero, William N. Lunday, Brian J. Uber, Richard P.

Source: European Journal of Operational Research. Feb2021, Vol. 288 Issue 3, p971-982. 12p.

Subjects: Mathematical programming, Robust optimization, Stochastic programming, Mathematical optimization, Statistical decision making, Uncertainty

Influence modeling: Mathematical programming representations of persuasion under either risk or uncertainty.

Authors: Caballero, William N. Lunday, Brian J.

Source: European Journal of Operational Research. Oct2019, Vol. 278 Issue 1, p266-282. 17p.

Subjects: Mathematical programming, Persuasion (Psychology), Mathematical models, Decision making, Prospect theory, Statistical decision making, Uncertainty

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

Authors: Wasilefsky, Devin Caballero, William N. Johnstone, Chancellor et al.

Source: Decision Support Systems. May2024, Vol. 180, pN.PAG-N.PAG. 1p.

Manipulating hidden-Markov-model inferences by corrupting batch data.

Authors: Caballero, William N. Camacho, Jose Manuel Ekin, Tahir et al.

Source: Computers & Operations Research. Feb2024, Vol. 162, pN.PAG-N.PAG. 1p.

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

Authors: Caballero, William N. Gaw, Nathan Jenkins, Phillip R. et al.

Source: Expert Systems with Applications. Nov2023, Vol. 231, pN.PAG-N.PAG. 1p.

Subjects: United States Air Force Academy, Machine learning, Air forces, Decision support systems, Air pilots, Principal components analysis, Channel estimation, Feature selection

Predicting success in United States Air Force pilot training using machine learning techniques.

Authors: Jenkins, Phillip R. Caballero, William N. Hill, Raymond R.

Source: Socio-Economic Planning Sciences. Feb2022, Vol. 79, pN.PAG-N.PAG. 1p.