AIMC Topic: Violence

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CrimeNet: Neural Structured Learning using Vision Transformer for violence detection.

Neural networks : the official journal of the International Neural Network Society
The state of the art in violence detection in videos has improved in recent years thanks to deep learning models, but it is still below 90% of average precision in the most complex datasets, which may pose a problem of frequent false alarms in video ...

Audio-based Deep Learning Algorithm to Identify Alcohol Inebriation (ADLAIA).

Alcohol (Fayetteville, N.Y.)
BACKGROUND: Acute alcohol intoxication impairs cognitive and psychomotor abilities leading to various public health hazards such as road traffic accidents and alcohol-related violence. Intoxicated individuals are usually identified by measuring their...

Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport.

Sensors (Basel, Switzerland)
The automatic detection of violent actions in public places through video analysis is difficult because the employed Artificial Intelligence-based techniques often suffer from generalization problems. Indeed, these algorithms hinge on large quantitie...

Weakly Supervised Violence Detection in Surveillance Video.

Sensors (Basel, Switzerland)
Automatic violence detection in video surveillance is essential for social and personal security. Monitoring the large number of surveillance cameras used in public and private areas is challenging for human operators. The manual nature of this task ...

Efficient Violence Detection in Surveillance.

Sensors (Basel, Switzerland)
Intelligent video surveillance systems are rapidly being introduced to public places. The adoption of computer vision and machine learning techniques enables various applications for collected video features; one of the major is safety monitoring. Th...

Can natural language processing models extract and classify instances of interpersonal violence in mental healthcare electronic records: an applied evaluative study.

BMJ open
OBJECTIVE: This paper evaluates the application of a natural language processing (NLP) model for extracting clinical text referring to interpersonal violence using electronic health records (EHRs) from a large mental healthcare provider.

Effects of demolishing abandoned buildings on firearm violence: a moderation analysis using aerial imagery and deep learning.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention
PURPOSE: Demolishing abandoned buildings has been found to reduce nearby firearm violence. However, these effects might vary within cities and across time scales. We aimed to identify potential moderators of the effects of demolitions on firearm viol...

Ethics, Artificial Intelligence, and Risk Assessment.

The journal of the American Academy of Psychiatry and the Law
A considerable number of papers have been published on the ethics of artificial intelligence for the purposes of violence risk assessment. In this issue of The Journal, Hogan and colleagues argue that artificial intelligence introduces novel concerns...

Predicting pain among female survivors of recent interpersonal violence: A proof-of-concept machine-learning approach.

PloS one
Interpersonal violence (IPV) is highly prevalent in the United States and is a major public health problem. The emergence and/or worsening of chronic pain are known sequelae of IPV; however, not all those who experience IPV develop chronic pain. To m...

On the Ethics and Practicalities of Artificial Intelligence, Risk Assessment, and Race.

The journal of the American Academy of Psychiatry and the Law
Artificial intelligence (AI) has been put forth as a potential means of improving and expediting violence risk assessment in forensic psychiatry. Furthermore, it has been proffered as a means of mitigating bias by replacing subjective human judgement...