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ORCIDAmir Sheikhahmadi
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2020 – today
- 2024
[j23]Ali Mousavi
, Mansour Esmaeilpour, Amir Sheikhahmadi:
Two efficient three-term conjugate gradient methods for impulse noise removal from medical images. Multim. Tools Appl. 83(15): 43685-43703 (2024)- 2023
- [j22]Bayan Hosseini, Farshid Veisi, Amir Sheikhahmadi:
A method based on link prediction for identifying set of super-spreaders in complex networks. J. Complex Networks 11(2) (2023) - [j21]Maryam Gholami, Amir Sheikhahmadi, Keyhan Khamforoosh, Mahdi Jalili, Farshid Veisi:
A new approach to finding overlapping community structure in signed networks based on Neutrosophic theory. J. Complex Networks 12(1) (2023) - [j20]Elaheh Golzardi, Amir Sheikhahmadi, Alireza Abdollahpouri:
TRTCD: trust route prediction based on trusted community detection. Multim. Tools Appl. 82(27): 41571-41607 (2023) - [j19]Mohammad Moed Ebrahimi, Keyhan Khamforoosh, Mohammad Reza Amini, Amir Sheikhahmadi, Hana Khamfroush:
Adaptive-Persistent Nonorthogonal Random Access Scheme for URLL Massive IoT Networks. IEEE Syst. J. 17(1): 1660-1671 (2023) - [j18]Ali Mousavi, Mansour Esmaeilpour, Amir Sheikhahmadi:
A new family of Polak-Ribière-Polyak conjugate gradient method for impulse noise removal. Soft Comput. 27(23): 17515-17524 (2023) - [j17]Bakhtyar Rafeeq HamaKarim, Rojiar Pir Mohammadiani, Amir Sheikhahmadi, Bryar Rafiq Hamakarim, Mehri Bahrami:
A method based on k-shell decomposition to identify influential nodes in complex networks. J. Supercomput. 79(14): 15597-15622 (2023) - 2022
- [j16]Ahmad Kazemi, Mohammad Ebrahim Shiri, Amir Sheikhahmadi, Mohamad Khodamoradi:
Classifying tumor brain images using parallel deep learning algorithms. Comput. Biol. Medicine 148: 105775 (2022) - [j15]Rahim Rashidi, Keyhan Khamforoosh, Amir Sheikhahmadi:
Proposing improved meta-heuristic algorithms for clustering and separating users in the recommender systems. Electron. Commer. Res. 22(2): 623-648 (2022) - [j14]Farough Ashkouti, Keyhan Khamforoosh, Amir Sheikhahmadi, Hana Khamfroush:
DHkmeans-ℓdiversity: distributed hierarchical K-means for satisfaction of the ℓ-diversity privacy model using Apache Spark. J. Supercomput. 78(2): 2616-2650 (2022) - 2021
- [j13]Taghi Shahgholi, Amir Sheikhahmadi, Keyhan Khamforoosh, Sadoon Azizi:
LPWAN-based hybrid backhaul communication for intelligent transportation systems: architecture and performance evaluation. EURASIP J. Wirel. Commun. Netw. 2021(1): 35 (2021) - [j12]Hossein Ghorbanzadeh, Amir Sheikhahmadi, Mahdi Jalili, Sadegh Sulaimany:
A hybrid method of link prediction in directed graphs. Expert Syst. Appl. 165: 113896 (2021) - [j11]Farough Ashkouti, Keyhan Khamforoosh, Amir Sheikhahmadi:
DI-Mondrian: Distributed improved Mondrian for satisfaction of the L-diversity privacy model using Apache Spark. Inf. Sci. 546: 1-24 (2021) - [i2]Ahmad Zareie, Amir Sheikhahmadi, Rizos Sakellariou:
A Composite Centrality Measure for Improved Identification of Influential Users. CoRR abs/2111.04529 (2021) - 2020
- [j10]Amir Sheikhahmadi, Ahmad Zareie:
Identifying influential spreaders using multi-objective artificial bee colony optimization. Appl. Soft Comput. 94: 106436 (2020) - [j9]Ahmad Zareie, Amir Sheikhahmadi, Mahdi Jalili:
Identification of influential users in social network using gray wolf optimization algorithm. Expert Syst. Appl. 142 (2020) - [j8]Ahmad Zareie, Amir Sheikhahmadi, Mahdi Jalili, Mohammad Sajjad Khaksar Fasaei:
Finding influential nodes in social networks based on neighborhood correlation coefficient. Knowl. Based Syst. 194: 105580 (2020)
2010 – 2019
- 2019
- [j7]Ahmad Zareie, Amir Sheikhahmadi, Mahdi Jalili:
Influential node ranking in social networks based on neighborhood diversity. Future Gener. Comput. Syst. 94: 120-129 (2019) - [j6]Ahmad Zareie, Amir Sheikhahmadi, Mahdi Jalili:
Identification of influential users in social networks based on users' interest. Inf. Sci. 493: 217-231 (2019) - 2018
- [j5]Ahmad Zareie, Amir Sheikhahmadi:
A hierarchical approach for influential node ranking in complex social networks. Expert Syst. Appl. 93: 200-211 (2018) - [j4]Ahmad Zareie, Amir Sheikhahmadi, Keyhan Khamforoosh:
Influence maximization in social networks based on TOPSIS. Expert Syst. Appl. 108: 96-107 (2018) - [j3]Saman Forouzandeh, Amir Sheikhahmadi, Atae Rezaei Aghdam, Shuxiang Xu:
New centrality measure for nodes based on user social status and behavior on Facebook. Int. J. Web Inf. Syst. 14(2): 158-176 (2018) - 2017
- [j2]Amir Sheikhahmadi, Mohammad Ali Nematbakhsh:
Identification of multi-spreader users in social networks for viral marketing. J. Inf. Sci. 43(3): 412-423 (2017) - 2015
- [i1]Amir Sheikhahmadi, Mohammad Ali Nematbakhsh, Arman Shokrollahi:
Improving detection of influential nodes in complex networks. CoRR abs/1504.06236 (2015) - 2014
- [j1]Saman Forouzandeh, Heirsh Soltanpanah, Amir Sheikhahmadi:
Content marketing through data mining on Facebook social network. Webology 11(1) (2014)
Coauthor Index
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