Development of Risk Assessment Framework for First Time Offenders Using Ensemble Learning-Reference-Cited by-同舟云学术

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Development of Risk Assessment Framework for First Time Offenders Using Ensemble Learning

Published:2021 Issue: Volume:9 Page:135024-135033
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Singh Aman^ORCID,Mohapatra Subrajeet

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09551955.pdf?arnumber=9551955

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Is Machine Learning Really Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsideration from Recidivism Prediction Tasks;Asian Journal of Criminology;2024-06

2. Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic Psychiatry;Frontiers in Psychiatry;2024-03-08

3. Advancing Recidivism Prediction for Male Juvenile Offenders: A Machine Learning Approach Applied to Prisoners in Hunan Province;Lecture Notes in Networks and Systems;2024

4. LK-IB: a hybrid framework with legal knowledge injection for compulsory measure prediction;Artificial Intelligence and Law;2023-05-30

5. Predicting Crime Across Cities and Regions: A Comparative Analysis of Predictive Modelling in Three Belgian Settings;Applied Spatial Analysis and Policy;2022-11-19

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