291 citations · 292 across the 5 of their papers we have counts for
3 papers · 1 filter
Noise2Stack: Improving Image Restoration by Learning from Volumetric Data
Mikhail Papkov, Kenny Roberts, Lee Ann Madissoon +4
Biomedical images are noisy. The imaging equipment itself has physical limitations, and the consequent experimental trade-offs between signal-to-noise ratio, acquisition speed, and…
DOME: Recommendations for supervised machine learning validation in biology
Ian Walsh, Dmytro Fishman, Dario Garcia-Gasulla +6
Modern biology frequently relies on machine learning to provide predictions and improve decision processes. There have been recent calls for more scrutiny on machine learning perfo…
A Survey of End-to-End Driving: Architectures and Training Methods
Ardi Tampuu, Maksym Semikin, Naveed Muhammad +2
Autonomous driving is of great interest to industry and academia alike. The use of machine learning approaches for autonomous driving has long been studied, but mostly in the conte…