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Machine Learning with High-Cardinality Categorical Features in Actuarial Applications.
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- Astin Bulletin, 2024, v. 54, n. 2, p. 213, doi. 10.1017/asb.2024.7
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SPLICE: a synthetic paid loss and incurred cost experience simulator.
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- Annals of Actuarial Science, 2023, v. 17, n. 1, p. 7, doi. 10.1017/S1748499522000057
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- Article