Sparse-input neural networks for high-dimensional nonparametric regression and classification J Feng, N Simon arXiv preprint arXiv:1711.07592, 2017 | 112 | 2017 |
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 | 102 | 2022 |
Efficient nonparametric statistical inference on population feature importance using Shapley values B Williamson, J Feng International conference on machine learning, 10282-10291, 2020 | 81 | 2020 |
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 | 68 | 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 |
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 | 28 | 2021 |
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 | 20 | 2021 |
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 | 17 | 2023 |
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 | 17 | 2018 |
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 | 15 | 2018 |
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 | 14 | 2019 |
Selective prediction-set models with coverage guarantees J Feng, A Sondhi, J Perry, N Simon arXiv preprint arXiv:1906.05473, 2019 | 11 | 2019 |
Selective prediction-set models with coverage rate guarantees J Feng, A Sondhi, J Perry, N Simon Biometrics 79 (2), 811-825, 2023 | 5 | 2023 |
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 | 5 | 2022 |
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 | 5 | 2022 |
Learning to safely approve updates to machine learning algorithms J Feng Proceedings of the Conference on Health, Inference, and Learning, 164-173, 2021 | 5 | 2021 |
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 | 4 | 2022 |
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 | 3 | 2023 |
Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study J Feng, A Subbaswamy, A Gossmann, H Singh, B Sahiner, MO Kim, ... arXiv preprint arXiv:2311.11463, 2023 | 3 | 2023 |