| What clinicians want: contextualizing explainable machine learning for clinical end use S Tonekaboni, S Joshi, MD McCradden, A Goldenberg Machine Learning for Healthcare Conference, 359-380, 2019 | 278 | 2019 |
| Closed-loop neurostimulators: A survey and a seizure-predicting design example for intractable epilepsy treatment H Kassiri, S Tonekaboni, MT Salam, N Soltani, K Abdelhalim, ... IEEE transactions on biomedical circuits and systems 11 (5), 1026-1040, 2017 | 96 | 2017 |
| Unsupervised representation learning for time series with temporal neighborhood coding S Tonekaboni, D Eytan, A Goldenberg International Conference on Learning Representations, 2021 | 60 | 2021 |
| What went wrong and when? Instance-wise feature importance for time-series black-box models S Tonekaboni, S Joshi, K Campbell, DK Duvenaud, A Goldenberg Advances in Neural Information Processing Systems 33, 2020 | 37 | 2020 |
| Prediction of cardiac arrest from physiological signals in the pediatric ICU S Tonekaboni, M Mazwi, P Laussen, D Eytan, R Greer, SD Goodfellow, ... Machine Learning for Healthcare Conference, 534-550, 2018 | 24 | 2018 |
| Explaining time series by counterfactuals S Tonekaboni, S Joshi, D Duvenaud, A Goldenberg | 7 | 2020 |
| Decoupling local and global representations of time series S Tonekaboni, CL Li, SO Arik, A Goldenberg, T Pfister International Conference on Artificial Intelligence and Statistics, 8700-8714, 2022 | 3 | 2022 |
| How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU S Tonekaboni, G Morgenshtern, A Assadi, A Pokhrel, X Huang, ... Conference on Health, Inference, and Learning, 169-182, 2022 | 2 | 2022 |
| Learning Unsupervised Representations for ICU Timeseries A Weatherhead, R Greer, MA Moga, M Mazwi, D Eytan, A Goldenberg, ... Conference on Health, Inference, and Learning, 152-168, 2022 | 1 | 2022 |
| Time-Varying Correlation Networks for Interpretable Change Point Detection K Garg, S Tonekaboni, A Goldenberg arXiv preprint arXiv:2211.03991, 2022 | | 2022 |
| Modeling Heart Rate Response to Exercise with Wearables Data A Nazaret, S Tonekaboni, G Darnell, S Ren, G Sapiro, A Miller NeurIPS 2022 Workshop on Learning from Time Series for Health, 2022 | | 2022 |
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoVerified email at utoronto.ca
