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Amin Golzari Oskouei Assistant Professor Information Technology & Computer Engineering Phone : 09143320401
   
شبکه های علمی
Short Bioghraphy
         
    
Research and Education Resume
Journal Articles (25)
Books (1)
   
  • Name and Family : Amin Golzari Oskouei
  • Degree : Ph.D Artificial Intelligence and Robotics
  • Academic Degree : Assistant Professor
  • Department : Information Technology & Computer Engineering
  • E-mail: : a.golzari@uut.ac.ir
 
 
 
         
     Research and Education Resume

Journal Articles (25)

1-Shirin Khezri, Nasser Aghazadeh, Mahdi Hashemzadeh, Amin Golzari Oskouei, FW-S3KIFCM: Feature Weighted Safe-Semi-Supervised Kernel-Based Intuitionistic Fuzzy C-Means Clustering Method,Fuzzy Information and Engineering, 2025/6/1, Pages 227-260.

2-Arezou Najafi Moghaddam, Nasser Aghazadeh, Mahdi Hashemzadeh, Amin Golzari Oskouei, A robust possibilistic semi-supervised fuzzy clustering algorithm with neighborhood-aware feature weighting,International Journal of Machine Learning and Cybernetics, 2025/8/5, Pages 1-36.

3-Hossein Abbasimehr, Alireza Abri, Amin Golzari Oskouei, Ali Noshad, Multi-View Clustering for Localized Global Time Series Forecasting,Neurocomputing, 2025/8/7, Pages 1-20.

4-Noor Kadhim Khudhair, Mohammad Ali Balafar, Jafar Tanha, Amin Golzari Oskouei, A Novel ResNet-Based Autoencoder Framework for Semi-Supervised Clustering Using Pairwise Constraints,Advanced Signal Processing, 2025/10/4, Pages 1-14.

5-Amin Golzari Oskouei, Negin Samadi, Asgarali Bouyer, Bahman Arasteh, A Neighborhood-Aware Semi-Supervised Intuitionistic Fuzzy Clustering Method with Multi-Level Weighting,Applied Soft Computing, 2025/10/22, Pages 1-28.

6-Fatemeh Daneshfar, Amin Golzari oskouei, Maryam Dorosti, Mohammad Javad Aghajani, An Improved Deep Text Clustering via Local Manifold of an Autoencoder Embedding,Journal of Modeling in Engineering, 2025/1/22.

7-Abbas Barhoun, Mohammad Ali Balafar, Amin Golzari Oskouei, Leila Sadeghi, Human embryo stage classification using an enhanced R (2+ 1) D model and dynamic programming with optimized datasets,Biomedical Signal Processing and Control, 2025/9/1.

8-Amin Golzari Oskouei, Negin Samadi, Asgarali Bouyer, Jafar Tanha, VCoFWMVIFCM: An open-source code for viewpoint-based collaborative feature-weighted multi-view intuitionistic fuzzy clustering,Software Impacts, 2025/3/1.

9-Amin Golzari Oskouei, Negin Samadi, Jafar Tanha, Asgarali Bouyer, Bahman Arasteh, Viewpoint‐Based Collaborative Feature‐Weighted Multi‐View Intuitionistic Fuzzy Clustering Using Neighborhood Information,Neurocomputing, 2025/2/7.

10-Amin Golzari Oskouei, Nasim Abdolmaleki, Asgarali Bouyer, Bahman Arasteh, Kimia Shirini, Efficient superpixel-based brain MRI segmentation using multi-scale morphological gradient reconstruction and quantum clustering,Biomedical Signal Processing and Control, 2025/2/1.

11-Younes Fayand Fathabad, Mohammad Ali Balafar, Amin Golzari Oskouei, Kamal Koohi, An Efficient Deep Learning‐Based Framework for Predicting Cyber Violence in Social Networks,Complexity, 2025/5/12.

12-Amin Golzari Oskouei, Negin Samadi, Shirin Khezri, Arezou Najafi Moghaddam, Hamidreza Babaei, Kiavash Hamini, Saghar Fath Nojavan, Asgarali Bouyer, Bahman Arasteh, Feature-Weighted Fuzzy Clustering Methods: An Experimental Review,Neurocomputing, 2024/12/12.

13-Asgarali Bouyer, Hamid Ahmadi Beni, Amin Golzari Oskouei, Alireza Rouhi, Bahman Arasteh, Xiaoyang Liu, Maximizing Influence in Social Networks Using Combined Local Features and Deep Learning-Based Node Embedding,Big Data, 2024/10/22.

14-Amin Golzari Oskouei, Negin Samadi, Jafar Tanha, Asgarali Bouyer, SSFCM-FWCW: Semi-Supervised Fuzzy C-Means method based on Feature-Weight and Cluster-Weight learning,Software Impacts, 2024/9/1.

15-Amin Golzari Oskouei, Negin Samadi, Jafar Tanha, Feature-weight and cluster-weight learning in fuzzy c-means method for semi-supervised clustering,Applied Soft Computing, 2024/8/1.

16-Taymaz Akan, Amin Golzari Oskouei, Sait Alp, Mohammad Alfrad Nobel Bhuiyan, Brain magnetic resonance image (MRI) segmentation using multimodal optimization,Multimedia Tools and Applications, 2024/7/2.

17-Riram Sarhan, Mohammad Ali Balafar, Mohammad Reza Feizi Derakhshi, Amin Golzari Oskouei, Image classification based on unsupervised adversarial transfer learning and preserving the inter-class and intra-class distance,Advanced Signal Processing, 2024/4/21.

18-Jalil Nourmohammadi Khiarak, Amin Golzari Oskouei, Samaneh Salehi Nasab, Farhang Jaryani, Seyed Naeim Moafinejad, Rana Pourmohamad, Yasin Amini, Morteza Noshad, KartalOl: a new deep neural network framework based on transfer learning for iris segmentation and localization task—new dataset for iris segmentation,Iran Journal of Computer Science, 2023/12/1.

19-Amin Golzari Oskouei, Mohammad Ali Balafar, Cina Motamed, RDEIC-LFW-DSS: ResNet-based deep embedded image clustering using local feature weighting and dynamic sample selection mechanism,Information Sciences, 2023/10/1.

20-Amin Golzari Oskouei, Mohammad Ali Balafar, Cina Motamed, EDCWRN: efficient deep clustering with the weight of representations and the help of neighbors,Applied Intelligence, 2023/3/1.

21-Amin Golzari Oskouei, Mahdi Hashemzadeh, CGFFCM: A color image segmentation method based on cluster-weight and feature-weight learning,Software Impacts, 2022/2/1.

22-Mehrad Aria, Esmaeil Nourani, Amin Golzari Oskouei, ADA‐COVID: Adversarial Deep Domain Adaptation‐Based Diagnosis of COVID‐19 from Lung CT Scans Using Triplet Embeddings,Computational Intelligence and Neuroscience, 2022/2/8.

23-Amin Golzari Oskouei, Mahdi Hashemzadeh, Bahareh Asheghi, Mohammad Ali Balafar, CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation,Applied Soft Computing, 2021/12/1.

24-Amin Golzari Oskouei, Mohammad Ali Balafar, Cina Motamed, FKMAWCW: categorical fuzzy k-modes clustering with automated attribute-weight and cluster-weight learning,Chaos, Solitons & Fractals, 2021/12/1.

25-Mahdi Hashemzadeh, Amin Golzari Oskouei, Nacer Farajzadeh, New fuzzy C-means clustering method based on feature-weight and cluster-weight learning ,Applied Soft Computing, 2019/5/1.
Books (1)

1-Amin Golzari Oskouei, Mohammad Ali Balafar, Taymaz Akan, A brain MRI segmentation method using feature weighting and a combination of efficient visual features,Chapman and Hall/CRC, 2023/10/5.