William N. Caballero
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Biography and Research Information
OverviewAI-generated summary
William N. Caballero's research focuses on the application of machine learning and artificial intelligence in areas related to national security, aviation, and automated systems. His work has investigated the use of machine learning for predicting success in U.S. Air Force pilot training and for classifying flight difficulty based on physiological data. Caballero has also explored ethical considerations and operational preferences in automated driving systems, including managing driving modes and decision support issues.
His publications address topics such as responsible machine learning for candidate selection, the potential of large language models in national security, and the regulation of economic problems like the traveling purchaser problem. Caballero's scholarship metrics include an h-index of 9, with 34 total publications and 183 citations.
Metrics
- h-index: 9
- Publications: 34
- Citations: 183
Selected Publications
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Poisoning Bayesian Inference via Data Deletion and Replication (2025)
Collaboration Network
Top Collaborators
- Poisoning Bayesian Inference via Data Deletion and Replication
- Poisoning Bayesian Inference via Data Deletion and Replication
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