AIMC Topic: Violence
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Fight Recognition in video using Hough Forests and 2D Convolutional Neural Network.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jun 8, 2018
While action recognition has become an important line of research in computer vision, the recognition of particular events such as aggressive behaviors, or fights, has been relatively less studied. These tasks may be extremely useful in several video...
Predictors of firearm violence in urban communities: A machine-learning approach.
Health & place
Mar 14, 2018
Interpersonal firearm violence is a leading cause of death and injuries in the United States. Identifying community characteristics associated with firearm violence is important to improve confounder selection and control in health research, to bette...
Using administrative data to identify U.S. Army soldiers at high-risk of perpetrating minor violent crimes.
Journal of psychiatric research
Sep 30, 2016
Growing concerns exist about violent crimes perpetrated by U.S. military personnel. Although interventions exist to reduce violent crimes in high-risk populations, optimal implementation requires evidence-based targeting. The goal of the current stud...
Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences.
Artificial intelligence in medicine
Sep 8, 2015
OBJECTIVES: Inspired by real-world examples from the forensic medical sciences domain, we seek to determine whether a decision about an interventional action could be subject to amendments on the basis of some incomplete information within the model,...
Machine learning-based predictive modelling of mental health in Rwandan Youth.
Scientific reports
May 8, 2025
Globally, mental disorders are a significant burden, particularly in low- and middle-income countries, with high prevalence in Rwanda, especially among survivors of the 1994 genocide against Tutsi. Machine learning offers promise in predicting mental...
Can Machine Learning Improve Screening for Targeted Delinquency Prevention Programs?
Prevention science : the official journal of the Society for Prevention Research
Feb 1, 2020
The cost-effectiveness of targeted delinquency prevention programs for children depends on the accuracy of the screening process. Screening accuracy is often poor, resulting in wasted resources and missed opportunities to avert negative outcomes. Thi...
Automated Risk Assessment for School Violence: a Pilot Study.
The Psychiatric quarterly
Dec 1, 2018
School violence has increased over the past ten years. This study evaluated students using a more standard and sensitive method to help identify students who are at high risk for school violence. 103 participants were recruited through Cincinnati Chi...
Retool AI to forecast and limit wars.
Nature
Oct 1, 2018
A murdered teen, two million tweets and an experiment to fight gun violence.
Nature
Sep 1, 2018
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