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Ordinal Random Tree with Rank-Oriented Feature Selection (ORT-ROFS): A Novel Approach for the Prediction of Road Traffic Accident Severity.

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Title: Ordinal Random Tree with Rank-Oriented Feature Selection (ORT-ROFS): A Novel Approach for the Prediction of Road Traffic Accident Severity.
Authors: Ghasemkhani, Bita1 (AUTHOR) bita.ghasemkhani@ogr.deu.edu.tr, Balbal, Kadriye Filiz2 (AUTHOR) kadriyefiliz.balbal@deu.edu.tr, Birant, Kokten Ulas3,4 (AUTHOR) ulas@cs.deu.edu.tr, Birant, Derya3 (AUTHOR) derya@cs.deu.edu.tr
Source: Mathematics (2227-7390). Jan2025, Vol. 13 Issue 2, p310. 24p.
Database: Academic Search Ultimate
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  Data: Ordinal Random Tree with Rank-Oriented Feature Selection (ORT-ROFS): A Novel Approach for the Prediction of Road Traffic Accident Severity.
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  Data: <searchLink fieldCode="JN" term="%22Mathematics+%282227-7390%29%22">Mathematics (2227-7390)</searchLink>. Jan2025, Vol. 13 Issue 2, p310. 24p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=182475885
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        Value: 10.3390/math13020310
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      – Code: eng
        Text: English
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      – TitleFull: Ordinal Random Tree with Rank-Oriented Feature Selection (ORT-ROFS): A Novel Approach for the Prediction of Road Traffic Accident Severity.
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              Text: Jan2025
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              Y: 2025
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