Interleaved Sequence RNNs for Fraud Detection

14 February 2020

Papers citing "Interleaved Sequence RNNs for Fraud Detection"

6 / 6 papers shown

Title
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection Fei Xiao Shaofeng Cai Wei Zhang H. V. Jagadish Beng Chin Ooi Meihui Zhang 27 0 0 01 Aug 2024
Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks Yucheng Wu Liyue Chen Yu Cheng Shuai Chen Jinyu Xu Leye Wang GNN 32 0 0 05 Jun 2024
Adversarial training for tabular data with attack propagation Tiago Leon Melo Joao Bravo Marco O. P. Sampaio Paolo Romano Hugo Ferreira João Tiago Ascensão P. Bizarro AAML 27 1 0 28 Jul 2023
A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories Julian Wiederer Julian Schmidt U. Kressel Klaus C. J. Dietmayer Vasileios Belagiannis AI4TS 43 7 0 05 Sep 2022
Active learning for imbalanced data under cold start R. Barata Miguel Leite R. Pacheco Marco O. P. Sampaio João Tiago Ascensão P. Bizarro AI4CE 24 8 0 16 Jul 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Xiaoxiao Ma Jia Wu Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu GNN AI4TS 31 538 0 14 Jun 2021