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Mohammadsadegh Saberian
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Deep packet: A novel approach for encrypted traffic classification using deep learning
M Lotfollahi, MJ Siavoshani, RSH Zade, M Saberian
Soft Computing 24 (3), 1999-2012, 2019
8642019
Rxrx1: A dataset for evaluating experimental batch correction methods
M Sypetkowski, M Rezanejad, S Saberian, O Kraus, J Urbanik, J Taylor, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
162023
DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning
MS Saberian, KP Moriarty, AD Olmstead, C Hallgrimson, F Jean, IR Nabi, ...
IEEE Transactions on Medical Imaging 41 (11), 3128-3145, 2022
92022
Deep packet: A novel approach for encrypted traffic classification using DL
M Lotfollahi, R Shirali, MJ Siavoshani, M Saberian
CoRR abs/1709.02656, 2017
62017
Deep packet: A novel approach for encrypted traffic classification using deep learning. arXiv 2017
M Lotfollahi, R Shirali, MJ Siavoshani, M Saberian
arXiv preprint arXiv:1709.02656, 0
5
Masked autoencoders are scalable learners of cellular morphology
O Kraus, K Kenyon-Dean, S Saberian, M Fallah, P McLean, J Leung, ...
arXiv preprint arXiv:2309.16064, 2023
32023
DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning
M Sadegh Saberian, KP Moriarty, AD Olmstead, C Hallgrimson, F Jean, ...
arXiv e-prints, arXiv: 2105.05758, 2021
2021
Drug Repurposing Efficacy Estimation based on Morphological Analysis of SARS-CoV-2 Infected Cells within a Multiple Instance Learning Framework
MS Saberian, KP Moriarty, AD Olmstead, IR Nabi, F Jean, MW Libbrecht, ...
2020
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