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Mahdi Adl Khanghah
Mahdi Adl Khanghah
MSc Student, University of Debrecen (UD)
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Cited by
Year
Can machine/deep learning classifiers detect zero-day malware with high accuracy?
F Abri, S Siami-Namini, MA Khanghah, FM Soltani, AS Namin
2019 IEEE international conference on big data (Big Data), 3252-3259, 2019
622019
An autoencoder‑based deep learning approach for clustering time series data
N Tavakoli, S Siami‑Namini, M Adl Khanghah, F Mirza Soltani, ...
SN Applied Science 2 (937), 2020
472020
Clustering time series data through autoencoder-based deep learning models
N Tavakoli, S Siami-Namini, MA Khanghah, FM Soltani, AS Namin
arXiv preprint arXiv:2004.07296, 2020
122020
The performance of machine and deep learning classifiers in detecting zero-day vulnerabilities
F Abri, S Siami-Namini, MA Khanghah, FM Soltani, AS Namin
arXiv preprint arXiv:1911.09586, 2019
102019
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Articles 1–4