One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats

Cite

Text

Brown et al. "One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats." AAAI Conference on Artificial Intelligence, 2016. doi:10.1609/AAAI.V30I1.10023

Markdown

[Brown et al. "One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats." AAAI Conference on Artificial Intelligence, 2016.](https://mlanthology.org/aaai/2016/brown2016aaai-one/) doi:10.1609/AAAI.V30I1.10023

BibTeX

@inproceedings{brown2016aaai-one,
  title     = {{One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats}},
  author    = {Brown, Matthew and Sinha, Arunesh and Schlenker, Aaron and Tambe, Milind},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {425-431},
  doi       = {10.1609/AAAI.V30I1.10023},
  url       = {https://mlanthology.org/aaai/2016/brown2016aaai-one/}
}