GGSA: A Grouping Gravitational Search Algorithm for data clustering. - Mohammad Bagher Dowlatshahi; Hossein Nezamabadi-pour (Eng. Appl. Artif. Intell., 2014)

A discrete gravitational search algorithm for solving combinatorial optimization problems. - Mohammad Bagher Dowlatshahi; Hossein Nezamabadi-pour; Mashaallah Mashinchi (Inf. Sci., 2014)

Ensemble of Filter-Based Rankers to Guide an Epsilon-Greedy Swarm Optimizer for High-Dimensional Feature Subset Selection. - Mohammad Bagher Dowlatshahi; Vali Derhami; Hossein Nezamabadi-pour (Inf., 2017)

A Novel Three-Stage Filter-Wrapper Framework for miRNA Subset Selection in Cancer Classification. - Mohammad Bagher Dowlatshahi; Vali Derhami; Hossein Nezamabadi-pour (Informatics, 2018)

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)

MLACO: A multi-label feature selection algorithm based on ant colony optimization. - Mohsen Paniri; Mohammad Bagher Dowlatshahi; Hossein Nezamabadi-pour (Knowl. Based Syst., 2020)

Feature Selection in Multi-label Classification based on Binary Quantum Gravitational Search Algorithm. - Hojat Noormohammadi; Mohammad Bagher Dowlatshahi (CSICC, 2021)

A practical system based on CNN-BLSTM network for accurate classification of ECG heartbeats of MIT-BIH imbalanced dataset. - Armin Shoughi; Mohammad Bagher Dowlatshahi (CSICC, 2021)

An energy aware grouping memetic algorithm to schedule the sensing activity in WSNs-based IoT for smart cities. - Mohammad Bagher Dowlatshahi; Marjan Kuchaki Rafsanjani; Brij B. Gupta (Appl. Soft Comput., 2021)

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)

An ensemble feature selection algorithm based on PageRank centrality and fuzzy logic. - Mehdi Joodaki; Mohammad Bagher Dowlatshahi; Nazanin Zahra Joodaki (Knowl. Based Syst., 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)

Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection. - Mohsen Paniri; Mohammad Bagher Dowlatshahi; Hossein Nezamabadi-pour (Swarm Evol. Comput., 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)

Unsupervised feature selection for image classification: A bipartite matching-based principal component analysis approach. - Firoozeh Beiranvand; Vahid Mehrdad; Mohammad Bagher Dowlatshahi (Knowl. Based Syst., 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)

Predictive model for shear strength estimation in reinforced concrete beams with recycled aggregates using Gaussian process regression. - Fereydoon Omidinasab; Amirhosein Sahraei Moghadam; Mohammad Bagher Dowlatshahi (Neural Comput. Appl., 2023)

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

Automatic ECG classification using discrete wavelet transform and one-dimensional convolutional neural network. - Armin Shoughi; Mohammad Bagher Dowlatshahi; Arefeh Amiri; Marjan Kuchaki Rafsanjani; Ranbir Singh Batth (Computing, 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)