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Trustworthy Academic Risk Prediction with Explainable Boosting Machines

Vegenshanti Dsilva, Johannes Schleiss, Sebastian Stober. Trustworthy Academic Risk Prediction with Explainable Boosting Machines. In Ning Wang 0023, Genaro Rebolledo-Mendez, Noboru Matsuda, Olga C. Santos, Vania Dimitrova, editors, Artificial Intelligence in Education - 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, Proceedings. Volume 13916 of Lecture Notes in Computer Science, pages 463-475, Springer, 2023. [doi]

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Vegenshanti Dsilva

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Johannes Schleiss

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Sebastian Stober

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