4 citations · 6 across the 5 of their papers we have counts for
5 papers
Application of Deep Learning on Single-Cell RNA-sequencing Data Analysis: A Review
Matthew Brendel, Chang Su, Zilong Bai +3
Single-cell RNA-sequencing (scRNA-seq) has become a routinely used technique to quantify the gene expression profile of thousands of single cells simultaneously. Analysis of scRNA-…
Regularized Data Programming with Automated Bayesian Prior Selection
Jacqueline R. M. A. Maasch, Hao Zhang, Qian Yang +2
The cost of manual data labeling can be a significant obstacle in supervised learning. Data programming (DP) offers a weakly supervised solution for training dataset creation, wher…
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis
Qiyuan An, Ruijiang Li, Lin Gu +5
Unsupervised domain adaptation (UDA) generally aligns the unlabeled target domain data to the distribution of the source domain to mitigate the distribution shift problem. The stan…
Manifoldron: Direct Space Partition via Manifold Discovery
Dayang Wang, Feng-Lei Fan, Bo-Jian Hou +6
A neural network with the widely-used ReLU activation has been shown to partition the sample space into many convex polytopes for prediction. However, the parameterized way a neura…
Clinical Evidence Engine: Proof-of-Concept For A Clinical-Domain-Agnostic Decision Support Infrastructure
Bojian Hou, Hao Zhang, Gur Ladizhinsky +4
Abstruse learning algorithms and complex datasets increasingly characterize modern clinical decision support systems (CDSS). As a result, clinicians cannot easily or rapidly scruti…