Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks
Bench C., Desai V., Moulaeifard M., Strodthoff N., Aston P., Thompson A.Monte Carlo dropout, uncertainty quantification, photoplethysmography, PPG, deep learning, Improved Variational Online Newton
| Document type | Article |
| Journal title / Source | Machine Learning: Health |
| Volume | 1 |
| Issue | 1 |
| Page numbers / Article number | 015013 |
| Publisher's name | IOP Publishing |
| Publisher's address (city only) | Bristol, United Kingdom |
| Publication date | 2025-1-1 |
| ISSN | 3049-477X |
| DOI | 10.1088/3049-477X/ae0b74 |