This conference program includes a paper on how to use machine learning in a secure fashion to automate the writing of rape reports.
This paper is about the secure use of machine learning to write rape reports, by Jiaxin Du of Texas A&M University and Rachel E. Lovell of Cleveland State University, was presented in the session “Approaches in Qualitative Methods” chaired by, Robert Apel, at the 61st Academy of Criminal Justice Sciences (ACJS) Annual Meeting.
Downloads
Similar Publications
- Enhancing Fault Ride-Through Capacity of DFIG-Based WPs by Adaptive Backstepping Command Using Parametric Estimation in Non-Linear Forward Power Controller Design
- Measuring the Direct and Spillover Effects of Body-Worn Cameras on the Civility of Police–Citizen Encounters and Police Work Activities
- Optimizing the Use of Video Technology to Improve Criminal Justice Outcomes