Interpretable Learner's Dropout Feature Ranking Using Local Binary Patterns and Kullback-Leibler Divergence Across Educational Datasets.

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Title: Interpretable Learner's Dropout Feature Ranking Using Local Binary Patterns and Kullback-Leibler Divergence Across Educational Datasets.
Authors: Bahi, Houssam Ahmed Amin1 (AUTHOR) houssam.bahi@univ-oeb.dz, Boussaha, Karima2 (AUTHOR), Laboudi, Zakaria3 (AUTHOR), Troussas, Christos4 (AUTHOR)
Source: Ingénierie des Systèmes d'Information. May2026, Vol. 31 Issue 5, p1655-1666. 12p.
Database: Business Source Ultimate
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  Data: Interpretable Learner's Dropout Feature Ranking Using Local Binary Patterns and Kullback-Leibler Divergence Across Educational Datasets.
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        Value: 10.18280/isi.310521
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        Text: English
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      – TitleFull: Interpretable Learner's Dropout Feature Ranking Using Local Binary Patterns and Kullback-Leibler Divergence Across Educational Datasets.
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              Text: May2026
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              Y: 2026
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