12 citations · 21 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 12 cited
Clustering Time Series Data through Autoencoder-based Deep Learning Models
Neda Tavakoli, Sima Siami-Namini, Mahdi Adl Khanghah +2
Machine learning and in particular deep learning algorithms are the emerging approaches to data analysis. These techniques have transformed traditional data mining-based analysis r…
cs.CR2019★ 9 cited
The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities
Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah +2
The detection of zero-day attacks and vulnerabilities is a challenging problem. It is of utmost importance for network administrators to identify them with high accuracy. The highe…