| A systematic review on overfitting control in shallow and deep neural networks MM Bejani, M Ghatee Artificial Intelligence Review 54 (8), 6391-6438, 2021 | 286 | 2021 |
| 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 | 152 | 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 |
| Theory of adaptive SVD regularization for deep neural networks MM Bejani, M Ghatee Neural Networks 128, 33-46, 2020 | 25 | 2020 |
| Regularized deep networks in intelligent transportation systems: A taxonomy and a case study MM Bejani, M Ghatee arXiv preprint arXiv:1911.03010, 2019 | 14 | 2019 |
| Least auxiliary loss-functions with impact growth adaptation (Laliga) for convolutional neural networks MM Bejani, M Ghatee Neurocomputing 453, 413-427, 2021 | 4 | 2021 |
| Adaptive low-rank factorization to regularize shallow and deep neural networks MM Bejani, M Ghatee arXiv preprint arXiv:2005.01995, 2020 | 4 | 2020 |
| Roadside acoustic sensors to support vulnerable pedestrians via their smartphones M Ghatee, M Khalili, M Teimouri, MM Bejani AUT Journal of Mathematics and Computing 1 (2), 135-143, 2020 | 2 | 2020 |
| Adaptive Low-Rank Regularization with Damping Sequences to Restrict Lazy Weights in Deep Networks MM Bejani, M Ghatee arXiv preprint arXiv:2106.09677, 2021 | 1 | 2021 |
| Where2Start: Leveraging initial States for Robust and Sample-Efficient Reinforcement Learning P Parsa, RZ Moayedi, M Bornosi, MM Bejani arXiv preprint arXiv:2311.15089, 2023 | | 2023 |
| ADAPTIVE LOW-RANK FACTORIZATION TO REGULARIZE MM Bejani, M Ghatee arXiv preprint arXiv:2005.01995, 2020 | | 2020 |
Mehdi GhateeFull Professor of Computer Science, Amirkabir University of Technology, Tehran, Iran在 aut.ac.ir 的电子邮件经过验证
