[PDF][PDF] Automatisierte Risikoprognosen im Kontext von Bewährungsentscheidungen

F Butz, S Christoph, L Sommerer… - Bewährungshilfe …, 2021 - researchgate.net
Die immer rasanter werdenden Entwicklungen im Bereich von Legal Tech, insbesondere
auch bezogen auf Künstliche Intelligenz (im Folgenden: KI), beschäftigen zunehmend Justiz …

Automatic Criminal Recidivism Risk Estimation in Recidivist Using Classification and Ensemble Techniques

A Singh, S Mohapatra - Soft Computing for Problem Solving: Proceedings …, 2023 - Springer
Committing a crime and getting sanctioned for parole and bail is highly exposed to the risk of
recidivism rate in the current world. Track the risk of every recidivist in real time is a huge …

Machine learning techniques to classify breast cancer

D Shah, RS Mangrulkar - Design of Intelligent Applications Using …, 2021 - taylorfrancis.com
This chapter explores the working of three different machine learning algorithms to detect
which one of them would give the best performance in one of the most crucial domains of …

Criminal Justice Practitioners Perceptions on Collateral Consequence Policies Affecting Formerly Incarcerated African American Males

RD Williams - 2024 - search.proquest.com
Abstract Formerly incarcerated African American males have a challenging time
transitioning back into the community due to invisible barriers that impede their opportunities …

[PDF][PDF] REDUCING THE ETHNIC AND GENDER BIAS WHEN PREDICTING RECIDIVISM WITH LOGISTIC REGRESSION AND RANDOM FOREST

L MA - arno.uvt.nl
In this thesis the ethnic and gender bias is measured in 2 Machine Learning models
designed to predict whether a convict will recommit a crime. This was tested on 3 different …

Big Data at the Border: Where Do We Draw the Line?

L Dorak - Romanian Intelligence Studies Review, 2021 - ceeol.com
The buzz of “Big Data” permeates society. This 'new'data, characterised by its volume,
variety, velocity, and veracity changes the ways we live, as an increasing number of actors …