Andrew M. Stuart
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
3
Active years
2016–2021
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | ICLR | Fourier Neural Operator for Parametric Partial Differential Equations. | Zongyi Li, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar |
| 2020 | AMIA | Lessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting. | David J. Albers, Melike Sirlanci Tuysuzoglu, Matthew E. Levine, Caroline Der Nigoghossian, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak |
| 2019 | IPAS | Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos. | Yiling Qiao, Chang Shi, Chenjian Wang, Hao Li, Matt Haberland, Xiyang Luo, Andrew M. Stuart, Andrea L. Bertozzi |
| 2018 | AMIA | Using mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges. | David J. Albers, Matthew E. Levine, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak |
| 2017 | AMIA | Why predicting postprandial glucose using self-monitoring data is difficult. | David J. Albers, Matthew E. Levine, Andrew M. Stuart, Bruce J. Gluckman, George Hripcsak |
| 2016 | AMIA | Using data assimilation to forecast post-meal glucose for patients with type 2 diabetes. | David J. Albers, Matthew E. Levine, Andrew M. Stuart, George Hripcsak, Lena Mamykina |