M. A. Balafar - researchr alias

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Viewing Publication 1 - 22 from 22

2024

NEAE: NeuroEvolution AutoEncoder for anomaly detection in internet traffic dataAli Jameel Hashim, M. A. Balafar, Jafar Tanha. tjs, 80(5):6746-6777, March 2024. [doi]

2023

Active constrained deep embedded clustering with dual sourceR. Hazratgholizadeh, M. A. Balafar, Mohammad Reza Feizi Derakhshi. apin, 53(5):5337-5367, March 2023. [doi]

A convolutional autoencoder model with weighted multi-scale attention modules for 3D skeleton-based action recognitionF. Khezerlou, Aryaz Baradarani, M. A. Balafar. jvcir, 92:103781, April 2023. [doi]

2022

CWI: A multimodal deep learning approach for named entity recognition from social media using character, word and image featuresMeysam Asgari-Chenaghlu, Mohammad Reza Feizi Derakhshi, Leili Farzinvash, M. A. Balafar, Cina Motamed. nca, 34(3):1905-1922, 2022. [doi]

2020

Active Learning for Constrained Document Clustering with Uncertainty RegionM. A. Balafar, R. Hazratgholizadeh, Mohammad Reza Feizi Derakhshi. complexity, 2020, 2020. [doi]

2019

The state-of-the-art in expert recommendation systemsN. Nikzad-Khasmakhi, M. A. Balafar, Mohammad Reza Feizi Derakhshi. eaai, 82:126-147, 2019. [doi]

2014

Fuzzy C-mean based brain MRI segmentation algorithmsM. A. Balafar. air, 41(3):441-449, 2014. [doi]

Gaussian mixture model based segmentation methods for brain MRI imagesM. A. Balafar. air, 41(3):429-439, 2014. [doi]

Visual multi secret sharing by cylindrical random gridSaman Salehi, M. A. Balafar. istr, 19(3):245-255, 2014. [doi]

2013

New spatial based MRI image de-noising algorithmM. A. Balafar. air, 39(3):225-235, 2013. [doi]

2010

A new method for MR grayscale inhomogeneity correctionM. A. Balafar, Abdul Rahman Ramli, Syamsiah Mashohor. air, 34(2):195-204, 2010. [doi]

Medical Image Segmentation Using Fuzzy C-Mean (FCM) and User Specified DataMohammad Ali Balafar, Abdul Rahman Ramli, M. Iqbal Saripan, Syamsiah Mashohor, Rozi Mahmud. jcsc, 19(1):1-14, 2010. [doi]

Improved Fast Fuzzy C-Mean and its Application in Medical Image SegmentationMohammad Ali Balafar, Abdul Rahman Ramli, M. Iqbal Saripan, Syamsiah Mashohor, Rozi Mahmud. jcsc, 19(1):203-214, 2010. [doi]

Edge-preserving Clustering Algorithms and Their Application for MRI Image SegmentationMohammad Ali Balafar, A. R. Ramli, MASHOHOR, S.. Lecture Notes in Engineering and Computer Science, 2180(1), 2010.

Review of brain MRI image segmentation methodsMohammad Ali Balafar, Abdul Rahman Ramli, M. Iqbal Saripan, Syamsiah Mashohor. air, 33(3):261-274, 2010. [doi]

2009

2009 ReviewersASV, R.K., Emmanuel, I., Abbas, Z., Abbasbandy, S., Abdallah, S., Ahmad, B., Akl, S.G., Al-Baali, M., Al-Dosary, K., Al-Hassan, Q., Mohammad Ali Balafar. International Journal of Computer Mathematics, 86(12), 2009.

2008

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