Amirata Ghorbani
Amirata Ghorbani
Verified email at - Homepage
Cited by
Cited by
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
Towards automatic concept-based explanations
A Ghorbani, J Wexler, JY Zou, B Kim
Advances in Neural Information Processing Systems, 9277-9286, 2019
Data Shapley: Equitable Valuation of Data for Machine Learning
A Ghorbani, J Zou
International Conference on Machine Learning 97 (, 2242-2251, 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
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
Deep learning interpretation of echocardiograms
A Ghorbani, D Ouyang, A Abid, B He, JH Chen, RA Harrington, DH Liang, ...
NPJ digital medicine 3 (1), 1-10, 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
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
Neuron shapley: Discovering the responsible neurons
A Ghorbani, JY Zou
Advances in Neural Information Processing Systems 33, 5922-5932, 2020
A Distributional Framework for Data Valuation
A Ghorbani, MP Kim, J Zou
Proceedings of Machine Learning Research, 2020
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
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
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), 1-9, 2021
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: Vancouver, BC, Canada, 2019
Embedding for informative missingness: Deep learning with incomplete data
A Ghorbani, JY Zou
2018 56th Annual Allerton Conference on Communication, Control, and …, 2018
Blind iterative nonlinear distortion compensation based on thresholding
M Azghani, A Ghorbani, F Marvasti
IEEE Transactions on Circuits and Systems II: Express Briefs 64 (7), 852-856, 2016
Data shapley valuation for efficient batch active learning
A Ghorbani, J Zou, A Esteva
arXiv preprint arXiv:2104.08312, 2021
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
Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data
G Yona, A Ghorbani, J Zou
arXiv preprint arXiv:1910.04214, 2019
Interpretable AI for beat-to-beat cardiac function assessment
D Ouyang, B He, A Ghorbani, CP Langlotz, PA Heidenreich, ...
medRxiv, 19012419, 2019
The system can't perform the operation now. Try again later.
Articles 1–20