Ariel Jaffe
Ariel Jaffe
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Cited by
Cited by
Detection of differentially abundant cell subpopulations in scRNA-seq data
J Zhao, A Jaffe, H Li, O Lindenbaum, E Sefik, R Jackson, X Cheng, ...
Proceedings of the National Academy of Sciences 118 (22), e2100293118, 2021
Estimating the Accuracies of Multiple Classifiers Without Labeled Data
A Jaffe, B Nadler, Y Kluger
Proceedings of the Eighteenth International Conference on Artificial …, 2015
Single-site localization via maximum discrimination multipath fingerprinting
A Jaffe, M Wax
IEEE Transactions on Signal Processing 62 (7), 1718-1728, 2014
Impact of healthcare worker shift scheduling on workforce preservation during the COVID-19 pandemic
DM Kluger, Y Aizenbud, A Jaffe, F Parisi, L Aizenbud, E Minsky-Fenick, ...
Infection Control & Hospital Epidemiology 41 (12), 1443-1445, 2020
Unsupervised ensemble learning with dependent classifiers
A Jaffe, E Fetaya, B Nadler, T Jiang, Y Kluger
Proceedings of the 19th International Conference on Artificial Intelligence …, 2016
Diabetes medications and risk of HCC
MC Plaz Torres, A Jaffe, R Perry, E Marabotto, M Strazzabosco, ...
Hepatology 76 (6), 1880-1897, 2022
A deep learning approach to unsupervised ensemble learning
U Shaham, X Cheng, O Dror, A Jaffe, B Nadler, J Chang, Y Kluger
International conference on machine learning, 30-39, 2016
Minimax-optimal semi-supervised regression on unknown manifolds
A Moscovich, A Jaffe, N Boaz
Artificial Intelligence and Statistics, 933-942, 2017
Newton correction methods for computing real eigenpairs of symmetric tensors
A Jaffe, R Weiss, B Nadler
SIAM Journal on Matrix Analysis and Applications 39 (3), 1071-1094, 2018
Super-resolution multi-reference alignment
T Bendory, A Jaffe, W Leeb, N Sharon, A Singer
Information and Inference: A Journal of the IMA 11 (2), 533-555, 2022
Randomized near-neighbor graphs, giant components and applications in data science
A Jaffe, Y Kluger, GC Linderman, G Mishne, S Steinerberger
Journal of applied probability 57 (2), 458-476, 2020
Learning binary latent variable models: A tensor eigenpair approach
A Jaffe, R Weiss, B Nadler, S Carmi, Y Kluger
International Conference on Machine Learning, 2196-2205, 2018
The discrete sign problem: uniqueness, recovery algorithms and phase retrieval applications
B Leshem, O Raz, A Jaffe, B Nadler
Applied and Computational Harmonic Analysis 45 (3), 463-485, 2018
Holistic management of hepatocellular carcinoma: The hepatologist's comprehensive playbook
A Jaffe, TH Taddei, EG Giannini, YC Ilagan‐Ying, M Colombo, ...
Liver International 42 (12), 2607-2619, 2022
Spectral neighbor joining for reconstruction of latent tree models
A Jaffe, N Amsel, Y Aizenbud, B Nadler, JT Chang, Y Kluger
SIAM journal on mathematics of data science 3 (1), 113-141, 2021
The spectral underpinning of word2vec
A Jaffe, Y Kluger, O Lindenbaum, J Patsenker, E Peterfreund, ...
Frontiers in applied mathematics and statistics 6, 593406, 2020
Method and system for multipath fingerprinting by maximum discrimination techniques
M Wax, A Yaffe
US Patent 9,143,176, 2015
Disc: Differential spectral clustering of features
RD Sristi, G Mishne, A Jaffe
Advances in Neural Information Processing Systems 35, 26269-26282, 2022
Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics
M Gross, S Huber, S Arora, T Ze’evi, SP Haider, AS Kucukkaya, S Iseke, ...
European Radiology, 1-10, 2024
Safety and efficacy of atezolizumab/bevacizumab in patients with hepatocellular carcinoma and impaired liver function: a systematic review and meta-analysis
A Pasta, F Calabrese, A Jaffe, S Labanca, S Marenco, G Pieri, ...
Liver Cancer, 2023
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