| A supervised machine learning semantic segmentation approach for detecting artifacts in plethysmography signals from wearables Z Guo, C Ding, X Hu, C Rudin Physiological Measurement 42 (12), 125003, 2021 | 55 | 2021 |
| Improving Clinician Performance in Classifying EEG Patterns on the Ictal–Interictal Injury Continuum Using Interpretable Machine Learning AJ Barnett*, Z Guo*, J Jing*, W Ge, PW Kaplan, WY Kong, I Karakis, ... NEJM AI 1 (6), AIoa2300331, 2024 | 35* | 2024 |
| SiamQuality: a ConvNet-based foundation model for photoplethysmography signals C Ding, Z Guo, Z Chen, RJ Lee, C Rudin, X Hu Physiological Measurement 45 (8), 085004, 2024 | 27* | 2024 |
| This looks better than that: Better interpretable models with protopnext F Willard, L Moffett, E Mokel, J Donnelly, S Guo, J Yang, G Kim, AJ Barnett, ... arXiv preprint arXiv:2406.14675, 2024 | 19 | 2024 |
| Sparse learned kernels for interpretable and efficient medical time series processing SF Chen, Z Guo, C Ding, X Hu, C Rudin Nature Machine Intelligence 6 (10), 1132-1144, 2024 | 18* | 2024 |
| Integrated single-cell multiomic analysis of HIV latency reversal reveals novel regulators of viral reactivation M Ashokkumar, W Mei, JJ Peterson, Y Harigaya, DM Murdoch, ... Genomics, Proteomics and Bioinformatics 22 (1), qzae003, 2024 | 12 | 2024 |
| Learning from alarms: a robust learning approach for accurate photoplethysmography-based atrial fibrillation detection using eight million samples labeled with imprecise … C Ding, Z Guo, C Rudin, R Xiao, A Shah, DH Do, RJ Lee, G Clifford, ... IEEE journal of biomedical and health informatics 28 (5), 2650-2661, 2024 | 11* | 2024 |
| Improving atrial fibrillation detection using a shared latent space for ECG and PPG signals Z Guo, C Ding, D Do, A Shah, RJ Lee, X Hu, C Rudin Harvard Data Science Review 7 (1), 2025 | 10* | 2025 |
| Rashomon sets for prototypical-part networks: Editing interpretable models in real-time J Donnelly, Z Guo, AJ Barnett, H McTavish, C Chen, C Rudin Proceedings of the Computer Vision and Pattern Recognition Conference, 4528-4538, 2025 | 9 | 2025 |
| "What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts V Babbar, Z Guo, C Rudin Journal of Machine Learning Research 26 (180), 1-64, 2025 | 4* | 2025 |
| It's LIT! Reliability-Optimized LLMs with Inspectable Tools R Zhang, J Donnelly, Z Guo, G Khalighinejad, H Huang, AJ Barnett, ... arXiv preprint arXiv:2511.14903, 2025 | | 2025 |
| Reconsideration on evaluation of machine learning models in continuous monitoring using wearables C Ding, Z Guo, C Rudin, R Xiao, FB Nahab, X Hu arXiv preprint arXiv:2312.02300, 2023 | | 2023 |
