| Deep Bayesian Unsupervised Lifelong Learning T Zhao, Z Wang, A Masoomi, J Dy Neural Networks, 2022 | 32* | 2022 |
| Deep learning methods for predicting disease status using genomic data Q Wu, A Boueiz, A Bozkurt, A Masoomi, A Wang, DL DeMeo, ST Weiss, ... Journal of biometrics & biostatistics 9 (5), 2018 | 32* | 2018 |
| Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness Z Wang, T Jian, A Masoomi, S Ioannidis, J Dy Advances in Neural Information Processing Systems 34, 2021 | 24 | 2021 |
| Explanations of black-box models based on directional feature interactions A Masoomi, D Hill, Z Xu, CP Hersh, EK Silverman, PJ Castaldi, ... arXiv preprint arXiv:2304.07670, 2023 | 21 | 2023 |
| Instance-wise Feature Grouping A Masoomi, C Wu, T Zhao, Z Wang, P Castaldi, J Dy Advances in Neural Information Processing Systems 33, 2020 | 18 | 2020 |
| Improved prediction of smoking status via isoform-aware RNA-seq deep learning models Z Wang, A Masoomi, Z Xu, A Boueiz, S Lee, T Zhao, R Bowler, M Cho, ... PLOS Computational Biology 17 (10), e1009433, 2021 | 12 | 2021 |
| Reliable estimation of kl divergence using a discriminator in reproducing kernel hilbert space S Ghimire, A Masoomi, J Dy Advances in Neural Information Processing Systems 34, 10221-10233, 2021 | 9 | 2021 |
| 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 |
| 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 | 6 | 2023 |
| Machine learning prediction of progression in forced expiratory volume in 1 second in the COPDGene® study A Boueiz, Z Xu, Y Chang, A Masoomi, A Gregory, S Lutz, D Qiao, ... Chronic Obstructive Pulmonary Diseases: Journal of the COPD Foundation 9 (3 …, 2022 | 6 | 2022 |
| Blood-based transcriptomic and proteomic biomarkers of emphysema R Suryadevara, A Gregory, R Lu, Z Xu, A Masoomi, SM Lutz, S Berman, ... American Journal of Respiratory and Critical Care Medicine 209 (3), 273-287, 2024 | 5 | 2024 |
| Explanation uncertainty with decision boundary awareness D Hill, A Masoomi, S Ghimire, M Torop, J Dy | 5 | 2022 |
| Deep learning prediction of COPD progression using enriched densitometry phenotypes AR El Boueiz, JG Dy, JC Ross, A Masoomi, GR Washko, EK Silverman, ... B101. ADVANCES IN COPD PATHOGENESIS, A4054-A4054, 2019 | 5 | 2019 |
| Deep Layer-wise Networks Have Closed-Form Weights C Wu, A Masoomi, A Gretton, J Dy International Conference on Artificial Intelligence and Statistics (AISTATS …, 2022 | 4 | 2022 |
| Analyzing the effects of classifier lipschitzness on explainers Z Khan, A Masoomi, D Hill, J Dy arXiv preprint arXiv:2206.12481, 2022 | 3 | 2022 |
| Blood transcriptomics-based machine learning prediction of emphysema in smokers R Suryadevara, A Gregory, A Masoomi, Z Xu, S Berman, J Yun, A Saferali, ... Chest 160 (4), A1841-A1842, 2021 | 2 | 2021 |
| 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 | 1 | 2024 |
| Inv-senet: Invariant self expression network for clustering under biased data A Singh, A Singh, A Masoomi, T Imbiriba, E Learned-Miller, D Erdoğmuş ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| M2M-InvNet: Human Motor Cortex Mapping from Multi-Muscle Response Using TMS and Generative 3D Convolutional Network MN Akbar, M Yarossi, S Rampersad, K Lockwood, A Masoomi, E Tunik, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering, 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 |
Jennifer DyElectrical and Computer Engineering, Northeastern University在 ece.neu.edu 的电子邮件经过验证
