Sequence embeddings help to identify fraudulent cases in healthcare insurance

7 October 2019

A. Zaytsev

Papers citing "Sequence embeddings help to identify fraudulent cases in healthcare insurance"

3 / 3 papers shown

Title
Unsupervised anomaly detection for discrete sequence healthcare data Victoria Snorovikhina Alexey Zaytsev OOD AI4TS 45 7 0 20 Jul 2020
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers I. Fursov A. Zaytsev Nikita Klyuchnikov A. Kravchenko Evgeny Burnaev AAML SILM 47 5 0 19 Jun 2020
Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world I. Fursov Alexey Zaytsev Nikita Klyuchnikov A. Kravchenko Evgeny Burnaev AAML SILM 46 11 0 09 Mar 2020