Sarah Akers

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 4

Top Topics

Mathematical Framework

Machine Learning

Top Venues

Publications

Sergei V. Kalinin, Debangshu Mukherjee, Kevin M. Roccapriore, Ben Blaiszik, Ayana Ghosh, Maxim A. Ziatdinov, Anees Al-Najjar, Christina Doty, Sarah Akers, Nageswara S. V. Rao, Joshua C. Agar, Steven R. Spurgeon
Deep Learning for Automated Experimentation in Scanning Transmission Electron Microscopy. CoRR (2023)
Matthew Olszta, Derek Hopkins, Kevin R. Fiedler, Marjolein Oostrom, Sarah Akers, Steven R. Spurgeon
An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics. CoRR (2021)
Henry Kvinge, Colby Wight, Sarah Akers, Scott Howland, Woongjo Choi, Xiaolong Ma, Luke Gosink, Elizabeth Jurrus, Keerti Kappagantula, Tegan H. Emerson
A Topological-Framework to Improve Analysis of Machine Learning Model Performance. CoRR (2021)
Christina Doty, Shaun Gallagher, Wenqi Cui, Wenya Chen, Shweta Bhushan, Marjolein Oostrom, Sarah Akers, Steven R. Spurgeon
Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data. CoRR (2021)