Tabular Transformers for Modeling Multivariate Time Series
Paper
•
2011.01843
•
Published
•
2
Fraud detection modeling using transformer
-
-
AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme
Paper • 2305.04468 • Published -
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
Paper • 2306.16424 • Published -
Challenges and Complexities in Machine Learning based Credit Card Fraud Detection
Paper • 2208.10943 • Published -
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Paper • 2106.01342 • Published -
Revisiting Deep Learning Models for Tabular Data
Paper • 2106.11959 • Published -
Financial Fraud Detection: A Comparative Study of Quantum Machine Learning Models
Paper • 2308.05237 • Published • 1 -
LightRAG: Simple and Fast Retrieval-Augmented Generation
Paper • 2410.05779 • Published • 24 -
Combating Financial Crimes with Unsupervised Learning Techniques: Clustering and Dimensionality Reduction for Anti-Money Laundering
Paper • 2403.00777 • Published -
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Paper • 1908.02591 • Published -
Scalable Graph Learning for Anti-Money Laundering: A First Look
Paper • 1812.00076 • Published -
Inspection-L: Self-Supervised GNN Node Embeddings for Money Laundering Detection in Bitcoin
Paper • 2203.10465 • Published -
Explainable Deep Behavioral Sequence Clustering for Transaction Fraud Detection
Paper • 2101.04285 • Published -
Semi-Supervised Bayesian GANs with Log-Signatures for Uncertainty-Aware Credit Card Fraud Detection
Paper • 2509.00931 • Published • 1 -
Empirical study of Machine Learning Classifier Evaluation Metrics behavior in Massively Imbalanced and Noisy data
Paper • 2208.11904 • Published -
Credit card fraud detection - Classifier selection strategy
Paper • 2208.11900 • Published -
Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENN
Paper • 2408.03497 • Published • 1