| Tackling climate change with machine learning D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... ACM Computing Surveys (CSUR) 55 (2), 1-96, 2022 | 1121 | 2022 |
| Bioconductor workflow for microbiome data analysis: from raw reads to community analyses BJ Callahan, K Sankaran, JA Fukuyama, PJ McMurdie, SP Holmes F1000Research 5, 2016 | 1017 | 2016 |
| Highres-net: Recursive fusion for multi-frame super-resolution of satellite imagery M Deudon, A Kalaitzis, I Goytom, MR Arefin, Z Lin, K Sankaran, ... arXiv preprint arXiv:2002.06460, 2020 | 127 | 2020 |
| Sex-specific association between gut microbiome and fat distribution Y Min, X Ma, K Sankaran, Y Ru, L Chen, M Baiocchi, S Zhu Nature communications 10 (1), 2408, 2019 | 107 | 2019 |
| HIV-1 protease, reverse transcriptase, and integrase variation SY Rhee, K Sankaran, V Varghese, MA Winters, CB Hurt, JJ Eron, ... Journal of virology 90 (13), 6058-6070, 2016 | 103 | 2016 |
| Flow: A dataset and benchmark for floating waste detection in inland waters Y Cheng, J Zhu, M Jiang, J Fu, C Pang, P Wang, K Sankaran, O Onabola, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 90 | 2021 |
| Latent variable modeling for the microbiome K Sankaran, SP Holmes Biostatistics 20 (4), 599-614, 2019 | 85 | 2019 |
| Multidomain analyses of a longitudinal human microbiome intestinal cleanout perturbation experiment J Fukuyama, L Rumker, K Sankaran, P Jeganathan, L Dethlefsen, ... PLoS computational biology 13 (8), e1005706, 2017 | 72 | 2017 |
| Demis Hassabis, John C D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... Platt, Felix Creutzig, Jennifer Chayes, and Yoshua Bengio. Tackling Climate …, 2019 | 67 | 2019 |
| Microbiome composition modulates secondary metabolism in a multispecies bacterial community MG Chevrette, CS Thomas, A Hurley, N Rosario-Meléndez, K Sankaran, ... Proceedings of the National Academy of Sciences 119 (42), e2212930119, 2022 | 65 | 2022 |
| structSSI: simultaneous and selective inference for grouped or hierarchically structured data K Sankaran, S Holmes Journal of statistical software 59 (13), 1, 2014 | 60 | 2014 |
| Visualizing the consequences of climate change using cycle-consistent adversarial networks V Schmidt, A Luccioni, SK Mukkavilli, N Balasooriya, K Sankaran, ... arXiv preprint arXiv:1905.03709, 2019 | 53 | 2019 |
| Tackling climate change with machine learning (2019) D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... Preprint available at, 1906 | 51 | 1906 |
| Bioconductor workflow for microbiome data analysis: from raw reads to community analyses. F1000Res. 2016; 5: 1492 BJ Callahan, K Sankaran, JA Fukuyama, PJ McMurdie, SP Holmes | 34 | 2020 |
| Multitable methods for microbiome data integration K Sankaran, SP Holmes Frontiers in genetics 10, 627, 2019 | 34 | 2019 |
| Artificial intelligence for climate change adaptation SM Cheong, K Sankaran, H Bastani Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1459, 2022 | 32 | 2022 |
| Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset A Janik, J Dodd, G Ifrim, K Sankaran, K Curran Medical imaging 2021: image processing 11596, 861-872, 2021 | 32 | 2021 |
| Tackling climate change with machine learning. arXiv 2019 D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... arXiv preprint arXiv:1906.05433, 1906 | 26 | 1906 |
| Hierarchical importance weighted autoencoders CW Huang, K Sankaran, E Dhekane, A Lacoste, A Courville International Conference on Machine Learning, 2869-2878, 2019 | 23 | 2019 |
| Machine learning for glacier monitoring in the Hindu Kush Himalaya S Baraka, B Akera, B Aryal, T Sherpa, F Shresta, A Ortiz, K Sankaran, ... arXiv preprint arXiv:2012.05013, 2020 | 17 | 2020 |
Susan P HolmesProfessor of Statistics, Stanford UniversityEmail verificata su stat.stanford.edu