2 papers
stat.ME2023
Variable selection with FDR control for noisy data -- an application to screening metabolites that are associated with breast and colorectal cancer
Runqiu Wang, Ran Dai, Ying Huang +5
The rapidly expanding field of metabolomics presents an invaluable resource for understanding the associations between metabolites and various diseases. However, the high dimension…
cs.CV2023
Learning to Read Analog Gauges from Synthetic Data
Juan Leon-Alcazar, Yazeed Alnumay, Cheng Zheng +3
Manually reading and logging gauge data is time inefficient, and the effort increases according to the number of gauges available. We present a computer vision pipeline that automa…