16 citations · 31 across the 10 of their papers we have counts for
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cs.LG2020
Oversampling Log Messages Using a Sequence Generative Adversarial Network for Anomaly Detection and Classification
Amir Farzad, T. Aaron Gulliver
Dealing with imbalanced data is one of the main challenges in machine/deep learning algorithms for classification. This issue is more important with log message data as it is typic…
cs.LG2019
Log Message Anomaly Detection and Classification Using Auto-B/LSTM and Auto-GRU
Amir Farzad, T. Aaron Gulliver
Log messages are now widely used in software systems. They are important for classification as millions of logs are generated each day. Most logs are unstructured which makes class…