Mahdieh Soleymani Baghshah
Mahdieh Soleymani Baghshah
Other namesMahdieh Soleymani
Associate Professor, Computer Engineering Department, Sharif University of Technology
Verified email at
Cited by
Cited by
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
Semi-supervised metric learning using pairwise constraints
MS Baghshah, SB Shouraki
Twenty-first international joint conference on artificial intelligence, 2009
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
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
Kernel-based metric learning for semi-supervised clustering
MS Baghshah, SB Shouraki
Neurocomputing 73 (7-9), 1352-1361, 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
Deep graph generators: A survey
F Faez, Y Ommi, MS Baghshah, HR Rabiee
IEEE Access 9, 106675-106702, 2021
Jointly measuring diversity and quality in text generation models
E Montahaei, D Alihosseini, MS Baghshah
arXiv preprint arXiv:1904.03971, 2019
MDL-CW: A Multimodal Deep Learning Framework with Cross Weights
S Rastegar, MS Baghshah, HR Rabiee, SM Shojaee
CVPR, 2601-2609, 2016
Unsupervised domain adaptation via representation learning and adaptive classifier learning
M Gheisari, MS Baghshah
Neurocomputing 165, 300-311, 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
Semi-supervised zero-shot learning by a clustering-based approach
SM Shojaee, MS Baghshah
arXiv preprint arXiv:1605.09016, 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
Incremental evolving domain adaptation
A Bitarafan, MS Baghshah, M Gheisari
IEEE Transactions on Knowledge and Data Engineering 28 (8), 2128-2141, 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
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
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
A novel fuzzy approach to recognition of online Persian handwriting
MS Baghshah
5th International Conference on Intelligent Systems Design and Applications …, 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
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
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