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