| Improving palliative care with deep learning A Avati, K Jung, S Harman, L Downing, A Ng, NH Shah BMC medical informatics and decision making 18, 55-64, 2018 | 444 | 2018 |
| Ngboost: Natural gradient boosting for probabilistic prediction T Duan, A Anand, DY Ding, KK Thai, S Basu, A Ng, A Schuler International conference on machine learning, 2690-2700, 2020 | 322 | 2020 |
| Neural language correction with character-based attention Z Xie, A Avati, N Arivazhagan, D Jurafsky, AY Ng arXiv preprint arXiv:1603.09727, 2016 | 162 | 2016 |
| Countdown regression: sharp and calibrated survival predictions A Avati, T Duan, S Zhou, K Jung, NH Shah, AY Ng Uncertainty in Artificial Intelligence, 145-155, 2020 | 61 | 2020 |
| Ambulatory atrial fibrillation monitoring using wearable photoplethysmography with deep learning Y Shen, M Voisin, A Aliamiri, A Avati, A Hannun, A Ng Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 60 | 2019 |
| A framework for making predictive models useful in practice K Jung, S Kashyap, A Avati, S Harman, H Shaw, R Li, M Smith, K Shum, ... Journal of the American Medical Informatics Association 28 (6), 1149-1158, 2021 | 58 | 2021 |
| Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands J Irvin, S Zhou, G McNicol, F Lu, V Liu, E Fluet-Chouinard, Z Ouyang, ... Agricultural and Forest Meteorology 308, 108528, 2021 | 48 | 2021 |
| Automated and flexible identification of complex disease: building a model for systemic lupus erythematosus using noisy labeling SG Murray, A Avati, G Schmajuk, J Yazdany Journal of the American Medical Informatics Association 26 (1), 61-65, 2019 | 44 | 2019 |
| Pro-active self-healing in a distributed file system PK Karampuri, AV Avati, V Bellur US Patent 9,317,509, 2016 | 39 | 2016 |
| Delayed asynchronous file replication in a distributed file system AV Avati, PK Karampuri US Patent 11,016,941, 2021 | 29 | 2021 |
| Short-term solar irradiance forecasting using calibrated probabilistic models E Zelikman, S Zhou, J Irvin, C Raterink, H Sheng, A Avati, J Kelly, ... arXiv preprint arXiv:2010.04715, 2020 | 20 | 2020 |
| Using AI to empower collaborative team workflows: two implementations for advance care planning and care escalation RC Li, M Smith, J Lu, A Avati, S Wang, WG Teuteberg, K Shum, G Hong, ... NEJM Catalyst Innovations in Care Delivery 3 (4), CAT. 21.0457, 2022 | 19 | 2022 |
| Compacting change logs using file content location identifiers A Avati US Patent 10,025,808, 2018 | 19 | 2018 |
| Caseless file lookup in a distributed file system A Avati, J Darcy US Patent 10,534,753, 2020 | 16 | 2020 |
| Unified file and object data storage AV Avati, MJ Ahmed US Patent 9,971,788, 2018 | 16 | 2018 |
| File replication using file content location identifiers A Avati US Patent 9,986,029, 2018 | 15 | 2018 |
| Improving hospital readmission prediction using individualized utility analysis M Ko, E Chen, A Agrawal, P Rajpurkar, A Avati, A Ng, S Basu, NH Shah Journal of Biomedical Informatics 119, 103826, 2021 | 14 | 2021 |
| CRUDE: calibrating regression uncertainty distributions empirically E Zelikman, C Healy, S Zhou, A Avati arXiv preprint arXiv:2005.12496, 2020 | 14 | 2020 |
| Accessing a file system using a hard link mapped to a file handle AT Suryanarayan, AV Avati US Patent App. 13/740,084, 2014 | 13 | 2014 |
| Identifying files in change logs using file content location identifiers A Avati, AT Suryanarayan US Patent 9,965,505, 2018 | 11 | 2018 |
Andrew NgStanford UniversityVerified email at cs.stanford.edu
