pboulieris / FraudNLPLinks
Data loading and preprocessing code for the paper titled 'Fraud Detection with NLP', which demonstrates the use of natural language processing techniques to detect fraud in financial transactions.
☆17Updated last year
Alternatives and similar repositories for FraudNLP
Users that are interested in FraudNLP are comparing it to the libraries listed below
Sorting:
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆88Updated 6 years ago
- Implementation of Robust PCA and Robust Deep Autoencoder over Time Series☆14Updated 5 years ago
- Papers on trustworthy anomaly detection☆29Updated last year
- Fraud detection with the Paysim financial dataset, Neo4j Graph Data Science, and Neo4j Bloom☆48Updated last year
- Code for SIGKDD'2021 paper: Deep Clustering based Fair Outlier Detection☆11Updated 4 years ago
- Popular method ARIMA for outlier detection purposes☆29Updated last year
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆46Updated 4 years ago
- Feature Selection using Simulated Annealing☆11Updated 3 years ago
- Anamoly Detection with Autoencoders - Credit Card Fraud Case☆16Updated 5 years ago
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆34Updated 2 years ago
- Robuast Variational Autoencoder☆11Updated 4 years ago
- ☆23Updated 2 years ago
- A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf☆14Updated 6 years ago
- Hybrid ES-RNN models for time series forecasting☆19Updated 4 years ago
- Deep Learning and Rare Event Prediction☆49Updated 4 years ago
- ☆11Updated 2 years ago
- ☆37Updated 3 years ago
- A PyTorch implementation of DeepFD (Deep Structure Learning for Fraud Detection)☆31Updated 5 years ago
- SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017☆27Updated 8 years ago
- Correlation-aware Change-point Detection via Graph Neural Networks☆16Updated 5 years ago
- ☆10Updated 3 years ago
- Hands-on tutorial about link analysis techniques☆39Updated 5 years ago
- Deep Graph Kernels☆13Updated 10 years ago
- Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters☆41Updated 3 weeks ago
- ☆23Updated 4 years ago
- A Graph Structure Learning (GSL) Toolkit☆38Updated 3 years ago
- Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few…☆48Updated 5 years ago
- Time Series Forecasting for the M5 Competition☆41Updated 4 years ago
- ☆11Updated 6 years ago
- code for "Neural Jump Ordinary Differential Equations"☆30Updated 2 years ago