Author

Soltani FM

MSc Student, University of Debrecen (UD) - Cited by 101 - Computer Science

Biography

Soltani FM is working as an Assistant Professor at Department of Biochemistry, University of Guilan, Rasht, Iran. He is having experience of more than 10 years and he had attended many International Conferences and chair the sessions.
Title
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 Namin2019 IEEE international conference on big data (Big Data), 32-3259, 2019201
52
2019
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), 2020202
30
2020
Clustering time series data through autoencoder-based deep learning models
N Tavakoli, S Siami-Namini, MA Khanghah, FM Soltani, AS NaminarXiv preprint arXiv:2004.07296, 2020202
12
2020
The performance of machine and deep learning classifiers in detecting zero-day vulnerabilities
F Abri, S Siami-Namini, MA Khanghah, FM Soltani, AS NaminarXiv preprint arXiv:1911.09586, 2019201
7
2019

Referred From: https://scholar.google.com/citations?user=89Rp3ZgAAAAJ&hl=en

Cited by
Citations 101
h-index 4
i10-index 3
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