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Isolation forests appear to be one of the best options available for anomaly detection. I was disappointed to see that ML.NET doesn't support this algorithm.
I don't have much experience in this fi…
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The three training data files,
- `train1.csv`
- `train2.csv`
- `train3.csv`
in the latest version of the dataset (I have not controlled the 20.07 verision) only contain examples labeled as normal …
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I am checking a solution to prevent "fraudster" to create "store/ecommerces" to sell products as a fraud only.
Example:
Product: Stove brand Consul
Price: 100
Real price at normal shoppings: …
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The anomaly detector is really awesome!
I want to know, if there is a way to adapt it, to detect anomalies without labeling the data, like the unsupervised learning.
Thanks!
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As for the **Feature map reduction** mentioned in the article[1], I did not find it in your code or keras_tcn. So I have a problem with adding this layer, which is where to add it:
About whether "F…
ZZY18 updated
11 months ago
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Hello,
Thank you for the nice library!
I was just wondering if you managed to reproduce the results in Zong, Bo, et al. "Deep autoencoding gaussian mixture model for unsupervised anomaly detect…
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**Is your feature request related to a problem? Please describe.**
A sort of exploration to other domains like Unsupervised Learning, Anomaly Detection, etc.
**Describe the solution you'd like**
…
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Running more or less vanilla github example code -- besides definition of window lengths --, for batch/streaming.
Batch runs through, however streaming throws an error when scoring test values, reg…
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- [Malware Samples](https://github.com/jstrosch/malware-samples)
- [LKVM Escape](https://www.kalmarunionen.dk/writeups/2021/hxp-2021/lkvm/)
- [Recon Weekly #1 : Attack Surface Basics](https://www.ss…
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Hey there - I enjoy reading your blog posts, and was curious if you've compared any of the classical approaches to some of the deep learning techniques. That might make for a very interesting blog pos…