Pinned Repositories
ActuarialDataScience
Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.
ALFramework
主动学习（Active Learning）框架，实现了多个主动学习策略，包括：熵（Entropy）、最大梯度改变（ECG）等。
ALiPy
ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.
alpha-insurance
Looking for factors indicating fraud using insurance claims data.
amazon-sagemaker-healthcare-fraud-detection
Healthcare fraud detection using PCA based anomaly detection on multivariate data.
awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
BatchBALD
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
Big-Data-Medicare-Fraud-Detection
4 different Big Datasets joined to get single table for final data analysis. Fraud Detection by taken consideration of different key features with applying different Machine Learning Algorithm to see which one performs better.
claims-management-joe
Replication package, Farbmacher, Löw, Spindler, Journal of Econometrics, 2021
CMS-Fraud-Detection
Fraud detection algorithm using Autoencoders and Stacked Autoencoders to detect fraudulent physicians in CMS Part B claims data
fychf's Repositories
fychf/claims-management-joe
Replication package, Farbmacher, Löw, Spindler, Journal of Econometrics, 2021
fychf/CMS-Fraud-Detection
Fraud detection algorithm using Autoencoders and Stacked Autoencoders to detect fraudulent physicians in CMS Part B claims data
fychf/ActuarialDataScience
Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.
fychf/ALiPy
ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.
fychf/amazon-sagemaker-healthcare-fraud-detection
Healthcare fraud detection using PCA based anomaly detection on multivariate data.
fychf/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
fychf/BatchBALD
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
fychf/Big-Data-Medicare-Fraud-Detection
4 different Big Datasets joined to get single table for final data analysis. Fraud Detection by taken consideration of different key features with applying different Machine Learning Algorithm to see which one performs better.
fychf/Big_Data_Medical_Care_Fraud_Detection
fychf/BiGCN
Source Codes: Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks--AAAI 2020
fychf/capstone_healthcare_fraud
fychf/ChainLadder
Claims reserving models in R
fychf/chainladder-python
Actuarial reserving in Python
fychf/CMS-Medicare-Data-FRAUD-Detection
CMS Medicare Fraud Detection
fychf/deeptriangle
DeepTriangle: A Deep Learning Approach to Loss Reserving
fychf/Fraud-Analysis
Insurance fraud claims analysis project
fychf/ganomaly
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
fychf/graph-fraud-detection-papers
A curated list of fraud detection papers using graph information or graph neural networks
fychf/GraphNeuralNetwork
《深入浅出图神经网络：GNN原理解析》配套代码
fychf/HealthCareFraudDetection
fychf/InsuranceFraudDetection
fychf/Kindle-
fychf/MaoZeDongAnthology
***选集
fychf/Mortality_Modeling
Multi-Population Mortality Modeling With Neural Networks
fychf/neuralnetworkdoubleODP
fychf/PythonDataScience-Collections
最全数据分析资料汇总（含python、爬虫、数据库、大数据、tableau、统计学等）
fychf/pytorch_active_learning
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
fychf/references
Papers, blogs, and other fun stuff.
fychf/simulationmachine
Individual claims history simulation machine
fychf/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习