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- W4304814064 abstract "Modern artificial intelligence algorithms already perform basic legal tasks more efficiently and faster than highly qualified lawyers. They are able to provide reliable support in decision-making in criminal proceedings. This article reviews the scoring model for assessing the risk of recidivism by criminals based on individual statistical and dynamic data of convicts. Various predictive models based on machine learning systems have been used to identify the factors that influence the propensity of convicted offenders to commit recidivism and prisoners with high recidivism. It was carried out a comparative evaluation of the constructed models." @default.
- W4304814064 created "2022-10-13" @default.
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- W4304814064 date "2022-09-26" @default.
- W4304814064 modified "2023-10-18" @default.
- W4304814064 title "A Scoring Model for Support Decision Making in Criminal Justice" @default.
- W4304814064 cites W2037076360 @default.
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- W4304814064 doi "https://doi.org/10.1109/acit54803.2022.9913182" @default.
- W4304814064 hasPublicationYear "2022" @default.
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