Search Results for author:
Found 3 papers, 1 papers with code
DBCal: Density Based Calibration of classifier predictions for uncertainty quantification
Measurement of uncertainty of predictions from machine learning methods is important across scientific domains and applications.
An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics
Artificial intelligence (AI) promises to reshape scientific inquiry and enable breakthrough discoveries in areas such as energy storage, quantum computing, and biomedicine.
Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data
The recent growth in data volumes produced by modern electron microscopes requires rapid, scalable, and flexible approaches to image segmentation and analysis.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
