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 | 864 | 2019 |
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 | 16 | 2023 |
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 | 9 | 2022 |
Deep packet: A novel approach for encrypted traffic classification using DL M Lotfollahi, R Shirali, MJ Siavoshani, M Saberian CoRR abs/1709.02656, 2017 | 6 | 2017 |
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 | 3 | 2023 |
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 |