| Interpretation of neural networks is fragile A Ghorbani, A Abid, J Zou Proceedings of the AAAI conference on artificial intelligence 33 (01), 3681-3688, 2019 | 858 | 2019 |
| Data shapley: Equitable valuation of data for machine learning A Ghorbani, J Zou International conference on machine learning, 2242-2251, 2019 | 679 | 2019 |
| Towards automatic concept-based explanations A Ghorbani, J Wexler, JY Zou, B Kim Advances in neural information processing systems 32, 2019 | 589 | 2019 |
| Video-based AI for beat-to-beat assessment of cardiac function D Ouyang, B He, A Ghorbani, N Yuan, J Ebinger, CP Langlotz, ... Nature 580 (7802), 252-256, 2020 | 577 | 2020 |
| Multiaccuracy: Black-box post-processing for fairness in classification MP Kim, A Ghorbani, J Zou Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 247-254, 2019 | 334 | 2019 |
| Deep learning interpretation of echocardiograms A Ghorbani, D Ouyang, A Abid, B He, JH Chen, RA Harrington, DH Liang, ... NPJ digital medicine 3 (1), 10, 2020 | 328 | 2020 |
| How does mixup help with robustness and generalization? L Zhang, Z Deng, K Kawaguchi, A Ghorbani, J Zou arXiv preprint arXiv:2010.04819, 2020 | 222 | 2020 |
| A distributional framework for data valuation A Ghorbani, M Kim, J Zou International Conference on Machine Learning, 3535-3544, 2020 | 109 | 2020 |
| Neuron shapley: Discovering the responsible neurons A Ghorbani, JY Zou Advances in neural information processing systems 33, 5922-5932, 2020 | 99 | 2020 |
| Dermgan: Synthetic generation of clinical skin images with pathology A Ghorbani, V Natarajan, D Coz, Y Liu Machine learning for health workshop, 155-170, 2020 | 92 | 2020 |
| A machine learning based exploration of COVID-19 mortality risk M Mahdavi, H Choubdar, E Zabeh, M Rieder, S Safavi-Naeini, Z Jobbagy, ... Plos one 16 (7), e0252384, 2021 | 84 | 2021 |
| Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset S Tang, A Ghorbani, R Yamashita, S Rehman, JA Dunnmon, J Zou, ... Scientific reports 11 (1), 8366, 2021 | 74 | 2021 |
| Dataperf: Benchmarks for data-centric ai development M Mazumder, C Banbury, X Yao, B Karlaš, W Gaviria Rojas, S Diamos, ... Advances in Neural Information Processing Systems 36, 2024 | 73 | 2024 |
| Echonet-dynamic: a large new cardiac motion video data resource for medical machine learning D Ouyang, B He, A Ghorbani, MP Lungren, EA Ashley, DH Liang, JY Zou NeurIPS ML4H Workshop, 1-11, 2019 | 61 | 2019 |
| Knockoffs for the mass: new feature importance statistics with false discovery guarantees JR Gimenez, A Ghorbani, J Zou The 22nd international conference on artificial intelligence and statistics …, 2019 | 58 | 2019 |
| Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials A Esteva, J Feng, D van der Wal, SC Huang, JP Simko, S DeVries, ... NPJ digital medicine 5 (1), 71, 2022 | 51 | 2022 |
| Data shapley valuation for efficient batch active learning A Ghorbani, J Zou, A Esteva 2022 56th Asilomar Conference on Signals, Systems, and Computers, 1456-1462, 2022 | 30 | 2022 |
| Improving adversarial robustness via unlabeled out-of-domain data Z Deng, L Zhang, A Ghorbani, J Zou International Conference on Artificial Intelligence and Statistics, 2845-2853, 2021 | 24 | 2021 |
| Who's responsible? jointly quantifying the contribution of the learning algorithm and data G Yona, A Ghorbani, J Zou Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 1034 …, 2021 | 17* | 2021 |
| Embedding for informative missingness: Deep learning with incomplete data A Ghorbani, JY Zou 2018 56th Annual Allerton Conference on Communication, Control, and …, 2018 | 15 | 2018 |
