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2020 – today
- 2024
[j13]Amin Hashemi, Mohammad-Reza Pajoohan
, Mohammad Bagher Dowlatshahi:
NSOFS: a non-dominated sorting-based online feature selection algorithm. Neural Comput. Appl. 36(3): 1181-1197 (2024)- 2023
- [j12]Fereshteh Karimi, Mohammad Bagher Dowlatshahi, Amin Hashemi:
SemiACO: A semi-supervised feature selection based on ant colony optimization. Expert Syst. Appl. 214: 119130 (2023) - [c4]Amin Hashemi, Mohammad Bagher Dowlatshahi:
A Fuzzy Integral Approach for Ensembling Unsupervised Feature Selection Algorithms. CSICC 2023: 1-6 - [c3]Amin Hashemi, Mohammad-Reza Pajoohan, Mohammad Bagher Dowlatshahi:
An election strategy for online streaming feature selection. CSICC 2023: 1-4 - 2022
- [j11]Amin Hashemi, Mehdi Joodaki, Nazanin Zahra Joodaki, Mohammad Bagher Dowlatshahi:
Ant colony optimization equipped with an ensemble of heuristics through multi-criteria decision making: A case study in ensemble feature selection. Appl. Soft Comput. 124: 109046 (2022) - [j10]Mohsen Miri, Mohammad Bagher Dowlatshahi, Amin Hashemi, Marjan Kuchaki Rafsanjani, Brij B. Gupta, Wadee Alhalabi:
Ensemble feature selection for multi-label text classification: An intelligent order statistics approach. Int. J. Intell. Syst. 37(12): 11319-11341 (2022) - [j9]Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi-pour:
Ensemble of feature selection algorithms: a multi-criteria decision-making approach. Int. J. Mach. Learn. Cybern. 13(1): 49-69 (2022) - [j8]Hamid Bayati, Mohammad Bagher Dowlatshahi, Amin Hashemi:
MSSL: a memetic-based sparse subspace learning algorithm for multi-label classification. Int. J. Mach. Learn. Cybern. 13(11): 3607-3624 (2022) - [c2]Arefeh Dalvand, Mohammad Bagher Dowlatshahi, Amin Hashemi:
SGFS: A semi-supervised graph-based feature selection algorithm based on the PageRank algorithm. CSICC 2022: 1-6 - 2021
- [j7]Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi-pour:
A pareto-based ensemble of feature selection algorithms. Expert Syst. Appl. 180: 115130 (2021) - [j6]Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi-pour:
VMFS: A VIKOR-based multi-target feature selection. Expert Syst. Appl. 182: 115224 (2021) - [j5]Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi-pour:
An efficient Pareto-based feature selection algorithm for multi-label classification. Inf. Sci. 581: 428-447 (2021) - [j4]Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi-pour:
A bipartite matching-based feature selection for multi-label learning. Int. J. Mach. Learn. Cybern. 12(2): 459-475 (2021) - 2020
- [j3]Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi-pour:
MGFS: A multi-label graph-based feature selection algorithm via PageRank centrality. Expert Syst. Appl. 142 (2020) - [j2]Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi-pour:
MFS-MCDM: Multi-label feature selection using multi-criteria decision making. Knowl. Based Syst. 206: 106365 (2020)
2010 – 2019
- 2019
- [j1]Mohammad Zahidul H. Bhuiyan, Giorgia Nunzia Ferrara, Amin Hashemi, Sarang Thombre, Michael Pattinson, Mark Dumville:
Impact Analysis of Standardized GNSS Receiver Testing against Real-World Interferences Detected at Live Monitoring Sites. Sensors 19(6): 1276 (2019) - [c1]Amin Hashemi, Sarang Thombre, Giorgia Nunzia Ferrara, Mohammad Zahidul Hasan Bhuiyan, Michael Pattinson:
STRIKE3-Case Study for Standardized Testing of Timing-Grade GNSS Receivers Against Real-World Interference Threats. ICL-GNSS 2019: 1-8
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