MLACO: A multi-label feature selection algorithm based on ant colony optimization M Paniri, MB Dowlatshahi, H Nezamabadi-Pour Knowledge-Based Systems 192, 105285, 2020 | 234 | 2020 |
MGFS: A multi-label graph-based feature selection algorithm via PageRank centrality A Hashemi, MB Dowlatshahi, H Nezamabadi-Pour Expert Systems with Applications 142, 113024, 2020 | 145 | 2020 |
MFS-MCDM: Multi-label feature selection using multi-criteria decision making A Hashemi, MB Dowlatshahi, H Nezamabadi-Pour Knowledge-Based Systems 206, 106365, 2020 | 139 | 2020 |
A discrete gravitational search algorithm for solving combinatorial optimization problems MB Dowlatshahi, H Nezamabadi-Pour, M Mashinchi Information Sciences 258, 94-107, 2014 | 119 | 2014 |
Gaussian process regression technique to estimate the pile bearing capacity E Momeni, MB Dowlatshahi, F Omidinasab, H Maizir, DJ Armaghani Arabian Journal for Science and Engineering, 1-13, 2020 | 104 | 2020 |
GGSA: A grouping gravitational search algorithm for data clustering MB Dowlatshahi, H Nezamabadi-Pour Engineering Applications of Artificial Intelligence 36, 114-121, 2014 | 103 | 2014 |
Ensemble of feature selection algorithms: A multi-criteria decision-making approach A Hashemi, MB Dowlatshahi, H Nezamabadi-pour International Journal of Machine Learning and Cybernetics 13 (1), 49-69, 2022 | 92 | 2022 |
Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection M Paniri, MB Dowlatshahi, H Nezamabadi-pour Swarm and Evolutionary Computation 64, 100892, 2021 | 92 | 2021 |
Gravitational Search Algorithm: Theory, Literature Review, and Applications A Hashemi, MB Dowlatshahi, H Nezamabadi-Pour Handbook of AI-based Metaheuristics, 119-150, 2021 | 89 | 2021 |
An efficient optimal neural network based on gravitational search algorithm in predicting the deformation of geogrid-reinforced soil structures E Momeni, A Yarivand, MB Dowlatshahi, DJ Armaghani Transportation geotechnics 26, 100446, 2021 | 88 | 2021 |
An efficient Pareto-based feature selection algorithm for multi-label classification A Hashemi, MB Dowlatshahi, H Nezamabadi-pour Information Sciences 581, 428-447, 2021 | 67 | 2021 |
VMFS: A VIKOR-based multi-target feature selection A Hashemi, MB Dowlatshahi, H Nezamabadi-pour Expert Systems with Applications 182, 115224, 2021 | 64 | 2021 |
An energy aware grouping memetic algorithm to schedule the sensing activity in WSNs-based IoT for smart cities MB Dowlatshahi, MK Rafsanjani, BB Gupta Applied Soft Computing 108, 107473, 2021 | 58 | 2021 |
A bipartite matching-based feature selection for multi-label learning A Hashemi, MB Dowlatshahi, H Nezamabadi-Pour International Journal of Machine Learning and Cybernetics 12, 459-475, 2021 | 58 | 2021 |
Ensemble of filter-based rankers to guide an epsilon-greedy swarm optimizer for high-dimensional feature subset selection MB Dowlatshahi, V Derhami, H Nezamabadi-pour Information 8 (4), 152, 2017 | 54 | 2017 |
Using gravitational search algorithm for finding near-optimal base station location in two-tiered WSNs MK Rafsanjani, MB Dowlatshahi International Journal of Machine Learning and Computing 2 (4), 377, 2012 | 54 | 2012 |
A Pareto-based ensemble of feature selection algorithms A Hashemi, MB Dowlatshahi, H Nezamabadi-pour Expert Systems with Applications 180, 115130, 2021 | 53 | 2021 |
SemiACO: A semi-supervised feature selection based on ant colony optimization F Karimi, MB Dowlatshahi, A Hashemi Expert Systems with Applications 214, 119130, 2023 | 50 | 2023 |
Ant colony optimization equipped with an ensemble of heuristics through multi-criteria decision making: A case study in ensemble feature selection A Hashemi, M Joodaki, NZ Joodaki, MB Dowlatshahi Applied Soft Computing, 109046, 2022 | 50 | 2022 |
MLCR: A fast multi-label feature selection method based on K-means and L2-norm A Hashemi, MB Dowlatshahi 2020 25th International Computer Conference, Computer Society of Iran (CSICC …, 2020 | 48 | 2020 |