Skip to content
#

fraud-detection

Here are 160 public repositories matching this topic...

Henlam
Henlam commented Jul 2, 2019

Hello,

first and foremost, thank you for building this wrapper it is of great use for me and many others.

I have question regarding the evaluation:
Most outlier detection evaluation settings work by setting the ranking number n equal the number of outliers (aka contamination) and so did I in my experiments.

My thought concerning the ROC and AUC score was:

  1. Don't we have to to rank th
hackunagi
hackunagi commented May 30, 2019

Hello everyone!
I have a few doubts on how events are handled across misp instances and Orgs. As I still haven't complete domain of the code and my curiosity is killing me, I'm coming here to ask help =]

  1. In the situation a site admin edit an event from another org and publish it. What exactly will happen with that information? Supposing it has a distribution level as "All communities".
    Wil

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

  • Updated Oct 25, 2019
  • 43 commits
  • Jupyter Notebook
You can’t perform that action at this time.