The Design of Access Control by using Data Dependency To Reduce the Inference of Sensitive Data. - Kuei-Sheng Lee; Yen-Cheng Lai; Shao-Yu Chen; Yi-Shin Lin; Meng-Feng Tsai (TAAI, 2020)

Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model. - Aravinda Ramakrishnan Srinivasan; Mohamed Hasan; Yi-Shin Lin; Matteo Leonetti; Jac Billington; Richard Romano; Gustav Markkula (ITSC, 2021)

A Utility Maximization Model of Pedestrian and Driver Interactions. - Yi-Shin Lin; Aravinda Ramakrishnan Srinivasan; Matteo Leonetti; Jac Billington; Gustav Markkula (IEEE Access, 2022)

The COMMOTIONS Urban Interactions Driving Simulator Study Dataset. - Aravinda Ramakrishnan Srinivasan; Julian Frederik Schumann; Yueyang Wang; Yi-Shin Lin; Michael Daly; Albert Solernou 001; Arkady Zgonnikov; Matteo Leonetti; Jac Billington; Gustav Markkula (CoRR, 2023)

Beyond RMSE: Do Machine-Learned Models of Road User Interaction Produce Human-Like Behavior? - Aravinda Ramakrishnan Srinivasan; Yi-Shin Lin; Morris Antonello; Anthony Knittel; Mohamed Hasan; Majd Hawasly; John Redford; Subramanian Ramamoorthy; Matteo Leonetti; Jac Billington; Richard Romano; Gustav Markkula (IEEE Trans. Intell. Transp. Syst., 2023)