Enhancing a recidivism prediction tool with machine learning: effectiveness and algorithmic fairness. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Carlos_Castillo_0001>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Marzieh_Karimi-Haghighi>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1145%2F3462757.3466150>
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dc:identifier	DBLP conf/icail/Karimi-Haghighi21 (xsd:string)
dc:identifier	DOI doi.org%2F10.1145%2F3462757.3466150 (xsd:string)
dcterms:issued	2021 (xsd:gYear)
rdfs:label	Enhancing a recidivism prediction tool with machine learning: effectiveness and algorithmic fairness. (xsd:string)
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swrc:pages	210-214 (xsd:string)
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rdfs:seeAlso	<http://dblp.uni-trier.de/db/conf/icail/icail2021.html#Karimi-Haghighi21>
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dc:title	Enhancing a recidivism prediction tool with machine learning: effectiveness and algorithmic fairness. (xsd:string)
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