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
Semi-supervised metric learning using pairwise constraints
MS Baghshah, SB Shouraki
Twenty-first international joint conference on artificial intelligence, 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
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
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
Deep graph generators: A survey
F Faez, Y Ommi, MS Baghshah, HR Rabiee
IEEE Access 9, 106675-106702, 2021
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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