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Deep learning in insurance: Accuracy and model interpretability using TabNet

Research article (Expert Systems with Applications, 2023) · cited 108× · AI/ML
academia openalex:W4316038746
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Deep learning in insurance: Accuracy and model interpretability using TabNet

Summary

Deep learning in insurance: Accuracy and model interpretability using TabNet is a scholarly article[1].

Key Facts

  • Deep learning in insurance: Accuracy and model interpretability using TabNet's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep learning in insurance: Accuracy and model interpretability using TabNet. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-in-insurance-accuracy-and-model-interpretability-using-tabnet
MLA “Deep learning in insurance: Accuracy and model interpretability using TabNet.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-in-insurance-accuracy-and-model-interpretability-using-tabnet.
BibTeX @misc{4ortxyz_deep-learning-in-insurance-accuracy-and-model-interpretability-using-tabnet_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning in insurance: Accuracy and model interpretability using TabNet}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-in-insurance-accuracy-and-model-interpretability-using-tabnet}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning in insurance: Accuracy and model interpretability using TabNet — https://4ort.xyz/entity/deep-learning-in-insurance-accuracy-and-model-interpretability-using-tabnet (retrieved 2026-05-24)

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