Dec 5, 2019 · In this work, we develop a workflow for synthesizing insurance datasets leveraging CTGAN, a recently proposed neural network architecture for ...
Aug 6, 2020 · In this work, we develop a workflow for synthesizing insurance datasets leveraging CTGAN, a recently proposed neural network architecture for ...
Sep 7, 2024 · In this work, we develop a workflow for synthesizing insurance datasets leveraging state-of-the-art neural network techniques. We evaluate the ...
In this work, we develop a workflow for synthesizing insurance datasets leveraging CTGAN, a recently proposed neural network architecture for generating tabular ...
This repo contains the experiments for the paper Generative Synthesis of Insurance Datasets. arXiv:1912.02423, 2019.
Dec 5, 2019 · This work develops a workflow for synthesizing insurance datasets leveraging CTGAN, a recently proposed neural network architecture for ...
May 15, 2024 · AI-generated data helps create synthetic data based on patterns and relationships gained from actual data sets.
Apr 22, 2024 · Generative models are AI algorithms designed to learn patterns from large data sets and generate new instances that maintain statistical consistency with the ...
Missing: Synthesis | Show results with:Synthesis
Dec 14, 2023 · Generative AI enables automated compliance monitoring that allows companies to swiftly identify discrepancies and adherence to regulations.
▷ Generative AI in insurance. • Generative Synthesis of Insurance Datasets (Kuo, 2020). • Synthesizing Property & Casualty Ratemaking Datasets using.