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A-XGBoost: a resilient machine learning technique for predicting crimes against women across cultures on low cardinality crime data.

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Title: A-XGBoost: a resilient machine learning technique for predicting crimes against women across cultures on low cardinality crime data.
Authors: Nicho, Mathew1,2 (AUTHOR) mnicho@ra.ac.ae, Hamed, Ahmed3 (AUTHOR), Gaber, Tarek4,5 (AUTHOR), Al Arimi, Jamal Hamad6 (AUTHOR)
Source: Cogent Social Sciences. Dec2025, Vol. 11 Issue 1, p1-28. 28p.
Database: Sociology Source Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Cogent+Social+Sciences%22">Cogent Social Sciences</searchLink>. Dec2025, Vol. 11 Issue 1, p1-28. 28p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/23311886.2025.2527392
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      – Code: eng
        Text: English
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      – TitleFull: A-XGBoost: a resilient machine learning technique for predicting crimes against women across cultures on low cardinality crime data.
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            NameFull: Hamed, Ahmed
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              Text: Dec2025
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              Y: 2025
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