256 citations
- Georgia Institute of TechnologyUS30 papers
- University of PennsylvaniaUS10 papers
- Atlanta University CenterUS9 papers
- M.N. Mikheev Institute of Metal PhysicsRU7 papers
- Yale UniversityUS7 papers
- CeNTechDE6 papers
- Weizmann Institute of ScienceIL6 papers
- Emerson (United States)US5 papers
- Georgia State UniversityUS5 papers
- Massachusetts Institute of TechnologyUS5 papers
- University of Illinois Urbana-ChampaignUS5 papers
- University of MichiganUS5 papers
41 papers · 1 filter
Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks
Siddhartha Nuthakki, Sunil Neela, Judy W. Gichoya +1
Coding diagnosis and procedures in medical records is a crucial process in the healthcare industry, which includes the creation of accurate billings, receiving reimbursements from…
Sharp resolvent estimates on non-positively curved asymptotically hyperbolic manifolds
Yiran Wang
We study the high energy estimate for the resolvent of the Laplacian on non-trapping asymptotically hyperbolic manifolds (AHM). In the literature, polynomial bound of the fo…
Stochastic comparisons for stochastic heat equation
Le Chen, Kunwoo Kim
We establish the stochastic comparison principles, including moment comparison principle as a special case, for solutions to the following nonlinear stochastic heat equation on $\m…
Learnt dynamics generalizes across tasks, datasets, and populations
U. Mahmood, M. M. Rahman, A. Fedorov +3
Differentiating multivariate dynamic signals is a difficult learning problem as the feature space may be large yet often only a few training examples are available. Traditional app…
PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility
Xiaolan Gu, Ming Li, Yueqiang Cheng +2
Data collection under local differential privacy (LDP) has been mostly studied for homogeneous data. Real-world applications often involve a mixture of different data types such as…
Radiomics in Cancer Radiotherapy: a Review
Jiwoong Jeong, Arif Ali, Tian Liu +3
Radiomics is a nascent field in quantitative imaging that uses advanced algorithms and considerable computing power to describe tumor phenotypes, monitor treatment response, and as…