STRIKE3-Case Study for Standardized Testing of Timing-Grade GNSS Receivers Against Real-World Interference Threats. - Amin Hashemi; Sarang Thombre; Giorgia Nunzia Ferrara; Mohammad Zahidul Hasan Bhuiyan; Michael Pattinson (ICL-GNSS, 2019)

Impact Analysis of Standardized GNSS Receiver Testing against Real-World Interferences Detected at Live Monitoring Sites. - Mohammad Zahidul H. Bhuiyan; Giorgia Nunzia Ferrara; Amin Hashemi; Sarang Thombre; Michael Pattinson; Mark Dumville (Sensors, 2019)

MGFS: A multi-label graph-based feature selection algorithm via PageRank centrality. - Amin Hashemi; Mohammad Bagher Dowlatshahi; Hossein Nezamabadi-pour (Expert Syst. Appl., 2020)

MFS-MCDM: Multi-label feature selection using multi-criteria decision making. - Amin Hashemi; Mohammad Bagher Dowlatshahi; Hossein Nezamabadi-pour (Knowl. Based Syst., 2020)

A pareto-based ensemble of feature selection algorithms. - Amin Hashemi; Mohammad Bagher Dowlatshahi; Hossein Nezamabadi-pour (Expert Syst. Appl., 2021)

VMFS: A VIKOR-based multi-target feature selection. - Amin Hashemi; Mohammad Bagher Dowlatshahi; Hossein Nezamabadi-pour (Expert Syst. Appl., 2021)

An efficient Pareto-based feature selection algorithm for multi-label classification. - Amin Hashemi; Mohammad Bagher Dowlatshahi; Hossein Nezamabadi-pour (Inf. Sci., 2021)

A bipartite matching-based feature selection for multi-label learning. - Amin Hashemi; Mohammad Bagher Dowlatshahi; Hossein Nezamabadi-pour (Int. J. Mach. Learn. Cybern., 2021)

SGFS: A semi-supervised graph-based feature selection algorithm based on the PageRank algorithm. - Arefeh Dalvand; Mohammad Bagher Dowlatshahi; Amin Hashemi (CSICC, 2022)

Ant colony optimization equipped with an ensemble of heuristics through multi-criteria decision making: A case study in ensemble feature selection. - Amin Hashemi; Mehdi Joodaki; Nazanin Zahra Joodaki; Mohammad Bagher Dowlatshahi (Appl. Soft Comput., 2022)

MSSL: a memetic-based sparse subspace learning algorithm for multi-label classification. - Hamid Bayati; Mohammad Bagher Dowlatshahi; Amin Hashemi (Int. J. Mach. Learn. Cybern., 2022)

Ensemble of feature selection algorithms: a multi-criteria decision-making approach. - Amin Hashemi; Mohammad Bagher Dowlatshahi; Hossein Nezamabadi-pour (Int. J. Mach. Learn. Cybern., 2022)

Ensemble feature selection for multi-label text classification: An intelligent order statistics approach. - Mohsen Miri; Mohammad Bagher Dowlatshahi; Amin Hashemi; Marjan Kuchaki Rafsanjani; Brij B. Gupta; Wadee Alhalabi (Int. J. Intell. Syst., 2022)

A Fuzzy Integral Approach for Ensembling Unsupervised Feature Selection Algorithms. - Amin Hashemi; Mohammad Bagher Dowlatshahi (CSICC, 2023)

An election strategy for online streaming feature selection. - Amin Hashemi; Mohammad-Reza Pajoohan; Mohammad Bagher Dowlatshahi (CSICC, 2023)

SemiACO: A semi-supervised feature selection based on ant colony optimization. - Fereshteh Karimi; Mohammad Bagher Dowlatshahi; Amin Hashemi (Expert Syst. Appl., 2023)

NSOFS: a non-dominated sorting-based online feature selection algorithm. - Amin Hashemi; Mohammad-Reza Pajoohan; Mohammad Bagher Dowlatshahi (Neural Comput. Appl., 2024)

AE-MCDM: an autoencoder-based multi-criteria decision-making approach for unsupervised feature selection. - Amin Hashemi; Mohammad Bagher Dowlatshahi; Siamak Farshidi; Parham Moradi (J. Supercomput., 2025)