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Computer-Assisted Fraud Detection, From Active Learning to Reward
  Maximization

Computer-Assisted Fraud Detection, From Active Learning to Reward Maximization

20 November 2018
Christelle Marfaing
Alexandre Garcia
    AAML
ArXiv (abs)PDFHTML

Papers citing "Computer-Assisted Fraud Detection, From Active Learning to Reward Maximization"

3 / 3 papers shown
Title
Temporal Knowledge Distillation for Time-Sensitive Financial Services
  Applications
Temporal Knowledge Distillation for Time-Sensitive Financial Services Applications
Hongda Shen
Eren Kurshan
AAML
54
2
0
28 Dec 2023
Label Augmentation via Time-based Knowledge Distillation for Financial
  Anomaly Detection
Label Augmentation via Time-based Knowledge Distillation for Financial Anomaly Detection
Hongda Shen
E. Kursun
AAML
129
2
0
05 Jan 2021
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for
  Payment Fraud Systems in Retail Banking
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking
Hongda Shen
Eren Kurshan
72
21
0
21 Oct 2020
1