| Semi-supervised metric learning using pairwise constraints MS Baghshah, SB Shouraki Twenty-first international joint conference on artificial intelligence, 2009 | 128 | 2009 |
| Universal adversarial attacks on text classifiers M Behjati, SM Moosavi-Dezfooli, MS Baghshah, P Frossard ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 126 | 2019 |
| MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge R Verma, N Kumar, A Patil, NC Kurian, S Rane, S Graham, QD Vu, ... IEEE Transactions on Medical Imaging 40 (12), 3413-3423, 2021 | 124 | 2021 |
| Transformer-based deep neural network language models for Alzheimer’s disease risk assessment from targeted speech A Roshanzamir, H Aghajan, M Soleymani Baghshah BMC Medical Informatics and Decision Making 21, 1-14, 2021 | 77 | 2021 |
| Kernel-based metric learning for semi-supervised clustering MS Baghshah, SB Shouraki Neurocomputing 73 (7-9), 1352-1361, 2010 | 72 | 2010 |
| RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data M Ghorbani, A Kazi, MS Baghshah, HR Rabiee, N Navab Medical image analysis 75, 102272, 2022 | 59 | 2022 |
| Jointly measuring diversity and quality in text generation models E Montahaei, D Alihosseini, MS Baghshah arXiv preprint arXiv:1904.03971, 2019 | 58 | 2019 |
| MDL-CW: A Multimodal Deep Learning Framework with Cross Weights S Rastegar, MS Baghshah, HR Rabiee, SM Shojaee CVPR, 2601-2609, 2016 | 58 | 2016 |
| Deep graph generators: A survey F Faez, Y Ommi, MS Baghshah, HR Rabiee IEEE Access 9, 106675-106702, 2021 | 56 | 2021 |
| Unsupervised domain adaptation via representation learning and adaptive classifier learning M Gheisari, MS Baghshah Neurocomputing 165, 300-311, 2015 | 56 | 2015 |
| Conditioning and processing: Techniques to improve information-theoretic generalization bounds H Hafez-Kolahi, Z Golgooni, S Kasaei, M Soleymani Advances in Neural Information Processing Systems 33, 16457-16467, 2020 | 47 | 2020 |
| Semi-supervised zero-shot learning by a clustering-based approach SM Shojaee, MS Baghshah arXiv preprint arXiv:1605.09016, 2016 | 45 | 2016 |
| Non-linear metric learning using pairwise similarity and dissimilarity constraints and the geometrical structure of data MS Baghshah, SB Shouraki Pattern Recognition 43 (8), 2982-2992, 2010 | 44 | 2010 |
| Incremental evolving domain adaptation A Bitarafan, MS Baghshah, M Gheisari IEEE Transactions on Knowledge and Data Engineering 28 (8), 2128-2141, 2016 | 43 | 2016 |
| Paraphrase generation by learning how to edit from samples A Kazemnejad, M Salehi, MS Baghshah proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 40 | 2020 |
| MGCN: semi-supervised classification in multi-layer graphs with graph convolutional networks M Ghorbani, MS Baghshah, HR Rabiee Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 38 | 2019 |
| A novel fuzzy classifier using fuzzy LVQ to recognize online Persian handwriting MS Baghshah, SB Shouraki, S Kasaei 2006 2nd international conference on information & communication …, 2006 | 35 | 2006 |
| A novel fuzzy approach to recognition of online Persian handwriting MS Baghshah 5th International Conference on Intelligent Systems Design and Applications …, 2005 | 35 | 2005 |
| An efficient semi-supervised multi-label classifier capable of handling missing labels AH Akbarnejad, MS Baghshah IEEE Transactions on Knowledge and Data Engineering 31 (2), 229-242, 2018 | 34 | 2018 |
| 3D image segmentation with sparse annotation by self-training and internal registration A Bitarafan, M Nikdan, MS Baghshah IEEE Journal of Biomedical and Health Informatics 25 (7), 2665-2672, 2020 | 26 | 2020 |
Hamid R. RabieeDistinguished Professor of Computer Engineering, Sharif University of Technology在 sharif.edu 的电子邮件经过验证
