Mahdieh Soleymani Baghshah

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Hamid R. RabieeDistinguished Professor of Computer Engineering, Sharif University of TechnologyDirección de correo verificada de sharif.edu
Saeed Bagheri ShourakiProfessor of Electrical Engineering, Sharif UniversityDirección de correo verificada de sharif.edu
Adeleh BitarafanPhD student, Sharif University of TechnologyDirección de correo verificada de ce.sharif.edu
Shohreh KasaeiProfessor of Artificial Intelligence, Sharif University of TechnologyDirección de correo verificada de sharif.edu
Mahsa GhorbaniGraduated from Sharif University of TechnologyDirección de correo verificada de tum.de
Ehsan MontahaeiResearcherDirección de correo verificada de ce.sharif.edu
Hosein HasaniSharif University of TechnologyDirección de correo verificada de ce.sharif.edu
Faezeh FaezPh.D., Sharif University of TechnologyDirección de correo verificada de ce.sharif.edu
Marzieh GheisariÉcole normale supérieureDirección de correo verificada de bio.ens.psl.eu
Nassir NavabProfessor of Computer Science, Technische Universität MünchenDirección de correo verificada de cs.tum.edu
Hassan Hafez-KolahiSharif University of TechnologyDirección de correo verificada de ce.sharif.edu
Hamid AghajanStanford UniversityDirección de correo verificada de stanford.edu
Danial AlihosseiniMachine Learning EngineerDirección de correo verificada de ce.sharif.edu
Seyed-Mohsen Moosavi-DezfooliImperial College LondonDirección de correo verificada de imperial.ac.uk
Sarah RastegarUniversiteit van AmsterdamDirección de correo verificada de uva.nl
Amirhossein KazemnejadMila / McGill UniversityDirección de correo verificada de mila.quebec
Mehrdad GhadiriMITDirección de correo verificada de mit.edu
Fatemeh Farahnak-GhazaniAmirkabir University of TechnologyDirección de correo verificada de aut.ac.ir
Amin AghaeeUniversity of British ColumbiaDirección de correo verificada de cs.ubc.ca

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Mahdieh Soleymani Baghshah

Otros nombresMahdieh Soleymani

Associate Professor, Computer Engineering Department, Sharif University of Technology

Dirección de correo verificada de sharif.edu

Deep Learning Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	121	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	114	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	72	2021
Kernel-based metric learning for semi-supervised clustering MS Baghshah, SB Shouraki Neurocomputing 73 (7-9), 1352-1361, 2010	72	2010
MDL-CW: A Multimodal Deep Learning Framework with Cross Weights S Rastegar, MS Baghshah, HR Rabiee, SM Shojaee CVPR, 2601-2609, 2016	58	2016
Unsupervised domain adaptation via representation learning and adaptive classifier learning M Gheisari, MS Baghshah Neurocomputing 165, 300-311, 2015	56	2015
Jointly measuring diversity and quality in text generation models E Montahaei, D Alihosseini, MS Baghshah arXiv preprint arXiv:1904.03971, 2019	55	2019
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	54	2022
Deep graph generators: A survey F Faez, Y Ommi, MS Baghshah, HR Rabiee IEEE Access 9, 106675-106702, 2021	54	2021
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	39	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	33	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	23	2020

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