| Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models J Cosentino, B Behsaz, B Alipanahi, ZR McCaw, D Hill, TH Schwantes-An, ... Nature Genetics 55 (5), 787-795, 2023 | 33 | 2023 |
| Explanations of black-box models based on directional feature interactions A Masoomi, D Hill, Z Xu, CP Hersh, EK Silverman, PJ Castaldi, ... International Conference on Learning Representations, 2022 | 20 | 2022 |
| Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction T Yun, J Cosentino, B Behsaz, ZR McCaw, D Hill, R Luben, D Lai, J Bates, ... Nature Genetics 56 (8), 1604-1613, 2024 | 8* | 2024 |
| Geometry of score based generative models S Ghimire, J Liu, A Comas, D Hill, A Masoomi, O Camps, J Dy arXiv preprint arXiv:2302.04411, 2023 | 7 | 2023 |
| Boundary-Aware Uncertainty for Feature Attribution Explainers D Hill, A Masoomi, M Torop, S Ghimire, J Dy International Conference on Artificial Intelligence and Statistics, 55-63, 2024 | 5* | 2024 |
| Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions ZQ Khan, D Hill, A Masoomi, JT Bone, J Dy International Conference on Artificial Intelligence and Statistics, 1378-1386, 2024 | 4* | 2024 |
| Deep learning utilizing suboptimal spirometry data to improve lung function and mortality prediction in the UK Biobank D Hill, M Torop, A Masoomi, PJ Castaldi, EK Silverman, S Bodduluri, ... medRxiv, 2023 | 4 | 2023 |
| Polygenic and transcriptional risk scores identify chronic obstructive pulmonary disease subtypes M Moll, J Hecker, J Platig, AJ Ghosh, RS Wang, K Pratte, D Hill, ... medRxiv, 2024.05. 20.24307621, 2024 | | 2024 |
| SmoothHess: ReLU Network Feature Interactions via Stein's Lemma M Torop, A Masoomi, D Hill, K Kose, S Ioannidis, J Dy Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Divide and Compose with Score Based Generative Models S Ghimire, A Comas, D Hill, A Masoomi, O Camps, J Dy arXiv preprint arXiv:2302.02272, 2023 | | 2023 |
| Deep Learning Utilizing Discarded Spirometry Data to Improve Lung Function and Mortality Prediction in the UK Biobank D Hill, M Torop, A Masoomi, PJ Castaldi, J Dy, MH Cho, BD Hobbs A95. THE IDEA GENERATOR: NOVEL RISK FACTORS AND FRESH APPROACHES TO DISEASE …, 2022 | | 2022 |
Jennifer DyElectrical and Computer Engineering, Northeastern University在 ece.neu.edu 的电子邮件经过验证
