| Hiding in the Mobile Crowd: LocationPrivacy through Collaboration R Shokri, G Theodorakopoulos, P Papadimitratos, E Kazemi, JP Hubaux Dependable and Secure Computing, IEEE Transactions on 11 (3), 266-279, 2014 | 192 | 2014 |
| Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images P Khosravi, E Kazemi, M Imielinski, O Elemento, I Hajirasouliha EBioMedicine 27 (317-328), 2017 | 137 | 2017 |
| Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images P Khosravi, E Kazemi, M Imielinski, O Elemento, I Hajirasouliha bioRxiv, 19, 2017 | 137 | 2017 |
| Growing a Graph Matching from a Handful of Seeds E Kazemi, SH Hassani, M Grossglauser Proceedings of the Vldb Endowment International Conference on Very Large …, 2015 | 85 | 2015 |
| Been there, done that: What your mobility traces reveal about your behavior V Etter, M Kafsi, E Kazemi Mobile Data Challenge by Nokia Workshop, in conjunction with Int. Conf. on …, 2012 | 79 | 2012 |
| Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization P Khosravi, E Kazemi, Q Zhan, JE Malmsten, M Toschi, P Zisimopoulos, ... NPJ digital medicine 2 (1), 1-9, 2019 | 77 | 2019 |
| Where to go from here? Mobility prediction from instantaneous information V Etter, M Kafsi, E Kazemi, M Grossglauser, P Thiran Pervasive and Mobile Computing 9 (6), 784-797, 2013 | 63 | 2013 |
| Do less, get more: Streaming submodular maximization with subsampling M Feldman, A Karbasi, E Kazemi Advances in Neural Information Processing Systems, 730-740, 2018 | 45 | 2018 |
| Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints E Kazemi, M Zadimoghaddam, A Karbasi International Conference on Machine Learning, 2549-2558, 2018 | 44* | 2018 |
| When Can Two Unlabeled Networks Be Aligned Under Partial Overlap? E Kazemi, L Yartseva, M Grossglauser Proceedings of the 53rd Annual Allerton Conference on Communication, Control …, 2015 | 38 | 2015 |
| Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity E Kazemi, M Mitrovic, M Zadimoghaddam, S Lattanzi, A Karbasi International Conference on Machine Learning, 3311--3320, 2019 | 32 | 2019 |
| PROPER: global protein interaction network alignment through percolation matching E Kazemi, H Hassani, M Grossglauser, HP Modarres BMC bioinformatics 17 (1), 1-16, 2016 | 27 | 2016 |
| Data Summarization at Scale: A Two-Stage Submodular Approach M Mitrovic, E Kazemi, M Zadimoghaddam, A Karbasi International Conference on Machine Learning, 3593-3602, 2018 | 23 | 2018 |
| Mitigating epidemics through mobile micro-measures M Kafsi, E Kazemi, L Maystre, L Yartseva, M Grossglauser, P Thiran Third International Conference on the Analysis of Mobile Phone Datasets, 2013 | 14 | 2013 |
| Adaptive sequence submodularity M Mitrovic, E Kazemi, M Feldman, A Krause, A Karbasi Advances in Neural Information Processing Systems, 5352-5363, 2019 | 10 | 2019 |
| Comparison Based Learning from Weak Oracles E Kazemi, L Chen, S Dasgupta, A Karbasi arXiv preprint arXiv:1802.06942, 2018 | 8 | 2018 |
| Network Alignment: Theory, Algorithms, and Applications E Kazemi EPFL, 2016 | 8 | 2016 |
| On the Structure and Efficient Computation of IsoRank Node Similarities E Kazemi, M Grossglauser arXiv:1602.00668v2, 2016 | 7 | 2016 |
| Assessing human blastocyst quality using artificial intelligence (AI) convolutional neural network (CNN) N Zaninovic, P Khosravi, I Hajirasouliha, JE Malmsten, E Kazemi, Q Zhan, ... Fertility and Sterility 110 (4), e89, 2018 | 6 | 2018 |
| Robust Automated Assessment of Human Blastocyst Quality using Deep Learning P Khosravi, E Kazemi, Q Zhan, M Toschi, JE Malmsten, C Hickman, ... bioRxiv, 394882, 2018 | 5 | 2018 |
Amin KarbasiYale UniversityVerified email at yale.edu
