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Ehsan Kazemi
Ehsan Kazemi
Google
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Año
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
2982017
Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images
P Khosravi, E Kazemi, M Imielinski, O Elemento, I Hajirasouliha
bioRxiv, 19, 2017
2982017
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), 21, 2019
2632019
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
2262014
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
1322015
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
972019
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
862012
Do less, get more: Streaming submodular maximization with subsampling
M Feldman, A Karbasi, E Kazemi
Advances in Neural Information Processing Systems, 730-740, 2018
792018
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
77*2018
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
732013
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
472018
PROPER: global protein interaction network alignment through percolation matching
E Kazemi, H Hassani, M Grossglauser, H Pezeshgi Modarres
BMC bioinformatics 17 (1), 1-16, 2016
472016
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
462015
A deep learning approach to diagnostic classification of prostate cancer using pathology–radiology fusion
P Khosravi, M Lysandrou, M Eljalby, Q Li, E Kazemi, P Zisimopoulos, ...
Journal of Magnetic Resonance Imaging 54 (2), 462-471, 2021
442021
On Adversarial Bias and the Robustness of Fair Machine Learning
H Chang, TD Nguyen, SK Murakonda, E Kazemi, R Shokri
arXiv preprint arXiv:2006.08669, 2020
422020
Regularized submodular maximization at scale
E Kazemi, S Minaee, M Feldman, A Karbasi
International Conference on Machine Learning, 5356-5366, 2021
342021
Streaming submodular maximization under a k-set system constraint
R Haba, E Kazemi, M Feldman, A Karbasi
International Conference on Machine Learning, 3939-3949, 2020
322020
Adaptive sequence submodularity
M Mitrovic, E Kazemi, M Feldman, A Krause, A Karbasi
Advances in Neural Information Processing Systems, 5352-5363, 2019
292019
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
212018
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
202013
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