Mahdieh Soleymani Baghshah

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Hamid R. RabieeDistinguished Professor of Computer Engineering, Sharif University of TechnologyVerified email at sharif.edu
Saeed Bagheri ShourakiProfessor of Electrical Engineering, Sharif UniversityVerified email at sharif.edu
Shohreh KasaeiProfessor of Artificial Intelligence, Sharif University of TechnologyVerified email at sharif.edu
Adeleh BitarafanPhD student, Sharif University of TechnologyVerified email at ce.sharif.edu
Mahsa GhorbaniGraduated from Sharif University of TechnologyVerified email at tum.de
Ehsan MontahaeiResearcherVerified email at ce.sharif.edu
Marzieh GheisariÉcole normale supérieureVerified email at bio.ens.psl.eu
Hosein HasaniSharif University of TechnologyVerified email at ce.sharif.edu
Hassan Hafez-KolahiSharif University of TechnologyVerified email at ce.sharif.edu
Hamid AghajanStanford UniversityVerified email at stanford.edu
Faezeh FaezPh.D., Sharif University of TechnologyVerified email at ce.sharif.edu
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
Danial AlihosseiniMachine Learning EngineerVerified email at ce.sharif.edu
Seyed-Mohsen Moosavi-DezfooliImperial College LondonVerified email at imperial.ac.uk
Melika BehjatiPh.D. student at EPFL & IDIAPVerified email at epfl.ch
Sarah RastegarUniversiteit van AmsterdamVerified email at uva.nl
Amirhossein KazemnejadMila / McGill UniversityVerified email at mila.quebec
Mehrdad GhadiriMITVerified email at mit.edu
Fatemeh Farahnak-GhazaniAmirkabir University of TechnologyVerified email at aut.ac.ir
Amin AghaeeUniversity of British ColumbiaVerified email at cs.ubc.ca

Mahdieh Soleymani Baghshah

Other namesMahdieh Soleymani

Associate Professor, Computer Engineering Department, Sharif University of Technology

Verified email at sharif.edu

Deep Learning Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Semi-supervised metric learning using pairwise constraints MS Baghshah, SB Shouraki Twenty-first international joint conference on artificial intelligence, 2009	129	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	108	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	76	2021
Kernel-based metric learning for semi-supervised clustering MS Baghshah, SB Shouraki Neurocomputing 73 (7-9), 1352-1361, 2010	74	2010
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	59	2021
MDL-CW: A Multimodal Deep Learning Framework with Cross Weights S Rastegar, MS Baghshah, HR Rabiee, SM Shojaee CVPR, 2601-2609, 2016	56	2016
Unsupervised domain adaptation via representation learning and adaptive classifier learning M Gheisari, MS Baghshah Neurocomputing 165, 300-311, 2015	47	2015
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
Deep graph generators: A survey F Faez, Y Ommi, MS Baghshah, HR Rabiee IEEE Access 9, 106675-106702, 2021	43	2021
Jointly measuring diversity and quality in text generation models E Montahaei, D Alihosseini, MS Baghshah arXiv preprint arXiv:1904.03971, 2019	43	2019
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	40	2020
Incremental evolving domain adaptation A Bitarafan, MS Baghshah, M Gheisari IEEE Transactions on Knowledge and Data Engineering 28 (8), 2128-2141, 2016	38	2016
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	35	2022
A novel fuzzy approach to recognition of online Persian handwriting MS Baghshah 5th International Conference on Intelligent Systems Design and Applications …, 2005	34	2005
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	33	2020
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	32	2006
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	30	2019
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	29	2018
Pssdl: Probabilistic semi-supervised dictionary learning B Babagholami-Mohamadabadi, A Zarghami, M Zolfaghari, MS Baghshah Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013	23	2013

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