research
∙
09/05/2023
Language Models for Novelty Detection in System Call Traces
Due to the complexity of modern computer systems, novel and unexpected b...
share
research
∙
05/26/2021
Exploring dual information in distance metric learning for clustering
Distance metric learning algorithms aim to appropriately measure similar...
research
∙
03/26/2021
A Practical Survey on Faster and Lighter Transformers
Recurrent neural networks are effective models to process sequences. How...
research
∙
03/11/2021
On Improving Deep Learning Trace Analysis with System Call Arguments
Kernel traces are sequences of low-level events comprising a name and mu...
research
∙
03/08/2021
Automatic Cause Detection of Performance Problems in Web Applications
The execution of similar units can be compared by their internal behavio...
research
∙
03/08/2021
Empirical comparison between autoencoders and traditional dimensionality reduction methods
In order to process efficiently ever-higher dimensional data such as ima...
research
∙
04/12/2018
