Works matching IS 17484995 AND DT 2024 AND VI 18 AND IP 3
Results: 9
Insurance analytics: prediction, explainability, and fairness.
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- Annals of Actuarial Science, 2024, v. 18, n. 3, p. 535, doi. 10.1017/S1748499524000289
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- Article
Modeling mortality with Kernel Principal Component Analysis (KPCA) method.
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- Annals of Actuarial Science, 2024, v. 18, n. 3, p. 626, doi. 10.1017/S1748499524000277
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- Article
Black-box guided generalised linear model building with non-life pricing applications.
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- Annals of Actuarial Science, 2024, v. 18, n. 3, p. 675, doi. 10.1017/S1748499524000265
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- Article
Distill knowledge of additive tree models into generalized linear models: a new learning approach for non-smooth generalized additive models.
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- Annals of Actuarial Science, 2024, v. 18, n. 3, p. 692, doi. 10.1017/S1748499524000241
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Smoothness and monotonicity constraints for neural networks using ICEnet.
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- Annals of Actuarial Science, 2024, v. 18, n. 3, p. 712, doi. 10.1017/S174849952400006X
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- Article
Interpretable zero-inflated neural network models for predicting admission counts.
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- Annals of Actuarial Science, 2024, v. 18, n. 3, p. 644, doi. 10.1017/S1748499524000058
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- Article
On clustering levels of a hierarchical categorical risk factor.
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- Annals of Actuarial Science, 2024, v. 18, n. 3, p. 540, doi. 10.1017/S1748499523000283
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- Article
Nonparametric intercept regularization for insurance claim frequency regression models.
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- Annals of Actuarial Science, 2024, v. 18, n. 3, p. 579, doi. 10.1017/S1748499523000271
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- Article
Boosted Poisson regression trees: a guide to the BT package in R.
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- Annals of Actuarial Science, 2024, v. 18, n. 3, p. 605, doi. 10.1017/S174849952300026X
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- Article