| Computational methods for solving fully fuzzy linear systems M Dehghan, B Hashemi, M Ghatee Applied mathematics and computation 179 (1), 328-343, 2006 | 296 | 2006 |
| A systematic review on overfitting control in shallow and deep neural networks MM Bejani, M Ghatee Artificial Intelligence Review 54 (8), 6391-6438, 2021 | 246 | 2021 |
| Solution of the fully fuzzy linear systems using iterative techniques M Dehghan, B Hashemi, M Ghatee Chaos, Solitons & Fractals 34 (2), 316-336, 2007 | 169 | 2007 |
| A context aware system for driving style evaluation by an ensemble learning on smartphone sensors data MM Bejani, M Ghatee Transportation Research Part C: Emerging Technologies 89, 303-320, 2018 | 146 | 2018 |
| Convolutional neural network with adaptive regularization to classify driving styles on smartphones MM Bejani, M Ghatee IEEE transactions on intelligent transportation systems 21 (2), 543-552, 2019 | 84 | 2019 |
| Hybrid of discrete wavelet transform and adaptive neuro fuzzy inference system for overall driving behavior recognition HR Eftekhari, M Ghatee Transportation research part F: traffic psychology and behaviour 58, 782-796, 2018 | 79 | 2018 |
| A similarity-based neuro-fuzzy modeling for driving behavior recognition applying fusion of smartphone sensors HR Eftekhari, M Ghatee Journal of Intelligent Transportation Systems 23 (1), 72-83, 2019 | 66 | 2019 |
| An inference engine for smartphones to preprocess data and detect stationary and transportation modes HR Eftekhari, M Ghatee Transportation Research Part C: Emerging Technologies 69, 313-327, 2016 | 62 | 2016 |
| Three-phases smartphone-based warning system to protect vulnerable road users under fuzzy conditions RB Zadeh, M Ghatee, HR Eftekhari IEEE Transactions on Intelligent Transportation Systems 19 (7), 2086-2098, 2017 | 60 | 2017 |
| Optimal network design and storage management in petroleum distribution network under uncertainty M Ghatee, SM Hashemi Engineering Applications of Artificial Intelligence 22 (4-5), 796-807, 2009 | 57 | 2009 |
| Convolution neural network joint with mixture of extreme learning machines for feature extraction and classification of accident images A Pashaei, M Ghatee, H Sajedi Journal of Real-Time Image Processing 17, 1051–1066, 2020 | 54 | 2020 |
| Generalized minimal cost flow problem in fuzzy nature: an application in bus network planning problem M Ghatee, SM Hashemi Applied Mathematical Modelling 32 (12), 2490-2508, 2008 | 50 | 2008 |
| Ranking function-based solutions of fully fuzzified minimal cost flow problem M Ghatee, SM Hashemi Information Sciences 177 (20), 4271-4294, 2007 | 50 | 2007 |
| Motion planning in order to optimize the length and clearance applying a Hopfield neural network M Ghatee, A Mohades Expert Systems with Applications 36 (3), 4688-4695, 2009 | 48 | 2009 |
| Preemptive priority-based algorithms for fuzzy minimal cost flow problem: An application in hazardous materials transportation M Ghatee, SM Hashemi, M Zarepisheh, E Khorram Computers & Industrial Engineering 57 (1), 341-354, 2009 | 45 | 2009 |
| Traffic assignment model with fuzzy level of travel demand: An efficient algorithm based on quasi-Logit formulas M Ghatee, SM Hashemi European Journal of Operational Research 194 (2), 432-451, 2009 | 45 | 2009 |
| Application of fuzzy minimum cost flow problems to network design under uncertainty M Ghatee, SM Hashemi Fuzzy sets and systems 160 (22), 3263-3289, 2009 | 44 | 2009 |
| Unsupervised feature selection based on adaptive similarity learning and subspace clustering MG Parsa, H Zare, M Ghatee Engineering Applications of Artificial Intelligence 95, 103855, 2020 | 40 | 2020 |
| Inverse of a fuzzy matrix of fuzzy numbers M Dehghan, M Ghatee, B Hashemi International Journal of Computer Mathematics 86 (8), 1433-1452, 2009 | 37 | 2009 |
| Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification S Abpeykar, M Ghatee, H Zare Computational Statistics & Data Analysis 131, 12-36, 2019 | 34 | 2019 |
S. Mehdi HashemiProfessor of Mathematics and Computer Science, Amirkabir University of Technology在 aut.ac.ir 的电子邮件经过验证
