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
- New Technique for Synthesizing Concurrent Dual-Band Impedance-Matching Filtering Networks and 0.18-μm SiGe BiCMOS 25.5/37-GHz Concurrent Dual-Band Power Amplifier
- A Best-First Soft/Hard Decision Tree Searching MIMO Decoder for a 4 x 4 64-QAM System
- Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation