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KrimDok
Institut für Kriminologie
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  1. 1
    Location, Location, Location: Disentangling Drivers of Terrorist Credit-Taking
    by Hansen, Tanja Marie (Author)
    in: Terrorism and political violence, 37 (2025), 1, Seite 73-92
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  2. 2
    Predicting Intimate Partner Violence Perpetration Among Young Adults Experiencing Homelessness in Seven U.S. Cities Using Interpretable Machine Learning
    by Um, Mee Young (Author)
    in: Journal of interpersonal violence, 40 (2025), 7/8, Seite 1727-1751
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  3. 3
    How concentrated disadvantage moderates the built environment and crime relationship on street segments in Los Angeles
    by Hipp, John R. (Author)
    in: Criminology & criminal justice, 25 (2025), 2, Seite 501-529
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  4. 4
    Exploring Characteristics of Homicide Offenders With Schizophrenia Spectrum Disorders Via Machine Learning
    by Sonnweber, Martina (Author)
    in: International journal of offender therapy and comparative criminology, 68 (2024), 6/7, Seite 713-732
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  5. 5
    A Systematic Literature Review of the Use of Computational Text Analysis Methods in Intimate Partner Violence Research
    by Neubauer, Lilly (Author)
    in: Journal of family violence, 38 (2023), 6, Seite 1205-1224
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  6. 6
    Imperfect Tools: A Research Note on Developing, Applying, and Increasing Understanding of Criminal Justice Risk Assessments
    by Applegarth, D. Michael (Author)
    in: Criminal justice policy review, 34 (2023), 4, Seite 319-336
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  7. 7
    Mental Illness as a Sentencing Determinant: A Comparative Case Law Analysis Based on a Machine Learning Approach
    by Thomaidou, Mia A. (Author)
    in: Criminal justice and behavior, 50 (2023), 7, Seite 976-995
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  8. 8
    Self-Harm Among Forensic Psychiatric Inpatients With Schizophrenia Spectrum Disorders: An Explorative Analysis
    by Kappes, Johannes René (Author)
    in: International journal of offender therapy and comparative criminology, 67 (2023), 4, Seite 352-372
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  9. 9
    Complex, co-occurring needs patterns and evidence-based service planning for families involved in foster care: a map for research and practice
    by Sokol, Rebeccah L. (Author)
    in: Child maltreatment, 28 (2023), 2, Seite 359-371
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  10. 10
    Predictive policing: eine methodische und operative Bewertung
    by Hardyns, Wim (Author)
    in: Handbuch Cyberkriminologie ; 1: Theorien und Methoden, (2023), Seite 347-363
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  11. 11
    Network analysis for financial crime risk assessment: the case study of the gambling division in Malta4hMaria Jofre
    by Jofre, Maria (Author)
    in: Global crime, 23 (2022), 2, Seite 148-170
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  12. 12
    Development and Validation of an Actuarial Risk Assessment Tool for Juveniles with a History of Sexual Offending, 5 U.S. states, 2009-2013
    by Kim, KiDeuk (Author)
    [Verlag nicht ermittelbar] 2022
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  13. 13
    Projecting Violent Re-Offending in a Parole Population: Developing a Real-Time Forecasting Procedure to Inform Parole Decision-Making, Pennsylvania, 2012-2014
    by Berk, Richard A. (Author)
    [Verlag nicht ermittelbar] 2022
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  14. 14
    Stress, Schizophrenia, and Violence: A Machine Learning Approach
    by Kirchebner, Johannes 1981- (Author)
    in: Journal of interpersonal violence, 37 (2022), 1/2, Seite 602-622
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  15. 15
    Predicting the Vulnerability of Women to Intimate Partner Violence in South Africa: Evidence from Tree-based Machine Learning Techniques
    by Amusa, Lateef B. (Author)
    in: Journal of interpersonal violence, 37 (2022), 7/8, Seite NP5228-NP5245
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  16. 16
    Measuring the Built Environment with Google Street View and Machine Learning: Consequences for Crime on Street Segments
    by Hipp, John R. (Author)
    in: Journal of quantitative criminology, 38 (2022), 3, Seite 537-565
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  17. 17
    Artificial intelligence and crime: a primer for criminologists
    by Hayward, Keith J. (Author)
    in: Crime, media, culture, 17 (2021), 2, Seite 209-233
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  18. 18
    The Application of Machine Learning to a General Risk–Need Assessment Instrument in the Prediction of Criminal Recidivism
    by Ghasemi, Mehdi (Author)
    in: Criminal justice and behavior, 48 (2021), 4, Seite 518-538
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  19. 19
    Forecasting Identity Theft Victims: Analyzing Characteristics and Preventive Actions through Machine Learning Approaches
    by Hu, Xiaochen (Author)
    in: Victims & offenders, 16 (2021), 4, Seite 465-494
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  20. 20
    AI’s role in improving community corrections
    by Pavon-Harr, Viveca (Author)
    in: The journal of offender monitoring, 34 (2021), 2, Seite 4-8
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