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Jean Feng
Jean Feng
Dirección de correo verificada de ucsf.edu - Página principal
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Sparse-input neural networks for high-dimensional nonparametric regression and classification
J Feng, N Simon
arXiv preprint arXiv:1711.07592, 2017
1122017
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare
J Feng, RV Phillips, I Malenica, A Bishara, AE Hubbard, LA Celi, ...
NPJ digital medicine 5 (1), 66, 2022
1002022
Efficient nonparametric statistical inference on population feature importance using Shapley values
B Williamson, J Feng
International conference on machine learning, 10282-10291, 2020
812020
Deep generative models for T cell receptor protein sequences
K Davidsen, BJ Olson, WS DeWitt III, J Feng, E Harkins, P Bradley, ...
Elife 8, e46935, 2019
662019
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
512022
Estimation of cell lineage trees by maximum-likelihood phylogenetics
J Feng, WS DEWITT III, A McKenna, N Simon, AD Willis, FA MATSEN IV
The annals of applied statistics 15 (1), 343, 2021
272021
Approval policies for modifications to machine learning-based software as a medical device: a study of bio-creep
J Feng, S Emerson, N Simon
Biometrics 77 (1), 31-44, 2021
202021
Overcoming barriers in the design and implementation of clinical trials for acute kidney injury: a report from the 2020 Kidney Disease Clinical Trialists meeting
D Lazzareschi, RL Mehta, LM Dember, J Bernholz, A Turan, A Sharma, ...
Nephrology Dialysis Transplantation 38 (4), 834-844, 2023
172023
Gradient-based regularization parameter selection for problems with nonsmooth penalty functions
J Feng, N Simon
Journal of Computational and Graphical Statistics 27 (2), 426-435, 2018
172018
Nonparametric variable importance using an augmented neural network with multi-task learning
J Feng, B Williamson, N Simon, M Carone
International conference on machine learning, 1496-1505, 2018
152018
Survival analysis of DNA mutation motifs with penalized proportional hazards
J Feng, DA Shaw, VN Minin, N Simon, FA Matsen IV
The annals of applied statistics 13 (2), 1268, 2019
142019
Selective prediction-set models with coverage guarantees
J Feng, A Sondhi, J Perry, N Simon
arXiv preprint arXiv:1906.05473, 2019
112019
Selective prediction-set models with coverage rate guarantees
J Feng, A Sondhi, J Perry, N Simon
Biometrics 79 (2), 811-825, 2023
52023
Ensembled sparse‐input hierarchical networks for high‐dimensional datasets
J Feng, N Simon
Statistical Analysis and Data Mining: The ASA Data Science Journal 15 (6 …, 2022
52022
Sequential algorithmic modification with test data reuse
J Feng, G Pennllo, N Petrick, B Sahiner, R Pirracchio, A Gossmann
Uncertainty in Artificial Intelligence, 674-684, 2022
52022
Learning to safely approve updates to machine learning algorithms
J Feng
Proceedings of the Conference on Health, Inference, and Learning, 164-173, 2021
52021
Sparse-input neural networks for high-dimensional nonparametric regression and classification. arXiv 2017
J Feng, N Simon
arXiv preprint arXiv:1711.07592, 0
5
Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees
J Feng, A Gossmann, B Sahiner, R Pirracchio
Journal of the American Medical Informatics Association 29 (5), 841-852, 2022
42022
Development and Validation of Prediction Models and Risk Calculators for Posthepatectomy Liver Failure and Postoperative Complications Using a Diverse International Cohort of …
JJ Wang, J Feng, C Gomes, L Calthorpe, AA Ganjouei, ...
Annals of Surgery 278 (6), 976-984, 2023
32023
Development and external validation of a machine learning model for prediction of lymph node metastasis in patients with prostate cancer
A Sabbagh, SL Washington 3rd, D Tilki, JC Hong, J Feng, G Valdes, ...
European Urology Oncology 6 (5), 501-507, 2023
32023
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Artículos 1–20