Reza Azmi
Reza Azmi
Computer Department, Alzahra University
Verified email at - Homepage
Cited by
Cited by
MAIS-IDS: A distributed intrusion detection system using multi-agent AIS approach
NA Seresht, R Azmi
Engineering Applications of Artificial Intelligence 35, 286-298, 2014
Brain tissue segmentation in MR images based on a hybrid of MRF and social algorithms
S Yousefi, R Azmi, M Zahedi
Medical image analysis 16 (4), 840-848, 2012
A new segmentation technique for omnifont Farsi text
R Azmi, E Kabir
Pattern Recognition Letters 22 (2), 97-104, 2001
Driver distraction recognition using 3d convolutional neural networks
N Moslemi, R Azmi, M Soryani
2019 4th International Conference on Pattern Recognition and Image Analysis …, 2019
A hybrid recommender system based-on link prediction for movie baskets analysis
M Vahidi Farashah, A Etebarian, R Azmi, R Ebrahimzadeh Dastjerdi
Journal of Big Data 8, 1-24, 2021
A survey on Botnet: Classification, detection and defense
P Amini, MA Araghizadeh, R Azmi
2015 International Electronics Symposium (IES), 233-238, 2015
A novel embedded feature selection method: a comparative study in the application of text categorization
MB Imani, MR Keyvanpour, R Azmi
Applied Artificial Intelligence 27 (5), 408-427, 2013
Fabric textile defect detection, by selecting a suitable subset of wavelet coefficients, through genetic algorithm
N Heidari, R Azmi, B Pishgoo
International Journal of Image Processing (IJIP) 5 (1), 25, 2011
A new markov random field segmentation method for breast lesion segmentation in MR images
R Azmi, N Norozi
Journal of medical signals and sensors 1 (3), 156, 2011
IMPST: a new interactive self-training approach to segmentation suspicious lesions in breast MRI
R Azmi, N Norozi, R Anbiaee, L Salehi, A Amirzadi
Journal of medical signals and sensors 1 (2), 138, 2011
Botnet detection using NetFlow and clustering
P Amini, R Azmi, M Araghizadeh
Advances in Computer Science: an International Journal 3 (2), 139-149, 2014
A hybrid GA and SA algorithms for feature selection in recognition of hand-printed Farsi characters
R Azmi, B Pishgoo, N Norozi, M Koohzadi, F Baesi
2010 IEEE international conference on intelligent computing and intelligent …, 2010
Actor system and method for analytics and processing of big data
F Korangy, H Ghasemzadeh, M Arjmandi, R Azmi
US Patent 9,338,226, 2016
A new segmentation technique for multi font farsi/arabic texts
M Omidyeganeh, K Nayebi, R Azmi, A Javadtalab
Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005
Computer vision‐based recognition of driver distraction: A review
N Moslemi, M Soryani, R Azmi
Concurrency and Computation: Practice and Experience 33 (24), e6475, 2021
Symmetric uncertainty class-feature association map for feature selection in microarray dataset
S Bakhshandeh, R Azmi, M Teshnehlab
International Journal of Machine Learning and Cybernetics 11, 15-32, 2020
Hierarchical deep neural networks to detect driver drowsiness
S Jamshidi, R Azmi, M Sharghi, M Soryani
Multimedia Tools and Applications 80, 16045-16058, 2021
An analytics model for TelecoVAS customers’ basket clustering using ensemble learning approach
M Vahidi Farashah, A Etebarian, R Azmi, R Ebrahimzadeh Dastjerdi
Journal of Big Data 8, 1-24, 2021
Facial expression recognition in the presence of occlusion using local gabor binary patterns
R Azmi, S Yegane
20th Iranian Conference on Electrical Engineering (ICEE2012), 742-747, 2012
An improved retinal vessel segmentation method based on high level features for pathological images
R Ganjee, R Azmi, B Gholizadeh
Journal of medical systems 38, 1-9, 2014
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