| A study on the evaluation of generative models E Betzalel, C Penso, A Navon, E Fetaya arXiv preprint arXiv:2206.10935, 2022 | 47 | 2022 |
| Confidence calibration of a medical imaging classification system that is robust to label noise C Penso, L Frenkel, J Goldberger IEEE Transactions on Medical Imaging, 2024 | 4 | 2024 |
| Evaluation metrics for generative models: An empirical study E Betzalel, C Penso, E Fetaya Machine Learning and Knowledge Extraction 6 (3), 1531-1544, 2024 | 2 | 2024 |
| A Conformal Prediction Score that is Robust to Label Noise C Penso, J Goldberger arXiv preprint arXiv:2405.02648, 2024 | 2 | 2024 |
| Functional ensemble distillation C Penso, I Achituve, E Fetaya Advances in Neural Information Processing Systems 35, 1751-1763, 2022 | 2 | 2022 |
| Noise-Robust Conformal Prediction for Medical Image Classification C Penso, J Goldberger International Workshop on Machine Learning in Medical Imaging, 159-168, 2024 | | 2024 |
| Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy C Penso, J Goldberger arXiv preprint arXiv:2409.04241, 2024 | | 2024 |
| A Joint Training and Confidence Calibration Procedure That is Robust to Label Noise C Penso, J Goldberger 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | | 2024 |
| Network calibration under domain shift based on estimating the target domain accuracy C Penso, J Goldberger | | |
Ethan FetayaBar-Ilan UniversityVerified email at biu.ac.il
