Classifying Force Spectroscopy of DNA Pulling Measurements Using Supervised and Unsupervised Machine Learning Methods. - Durmus U. Karatay; Jie Zhang; Jeffrey S. Harrison; David S. Ginger (J. Chem. Inf. Model., 2016)

Generalizable Framework for Algorithmic Interpretation of Thin Film Morphologies in Scanning Probe Images. - Wesley K. Tatum; Diego Torrejon; Patrick O'neil; Jonathan W. Onorato; Anton B. Resing; Sarah Holliday; Lucas Q. Flagg; David S. Ginger; Christine K. Luscombe (J. Chem. Inf. Model., 2020)

Extraction of Instantaneous Frequencies and Amplitudes in Nonstationary Time-Series Data. - Daniel E. Shea; Rajiv Giridharagopal; David S. Ginger; Steven L. Brunton; J. Nathan Kutz (IEEE Access, 2021)

Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle libraries. - Maxim A. Ziatdinov; Muammer Yusuf Yaman; Yongtao Liu; David S. Ginger; Sergei V. Kalinin (CoRR, 2021)

A Robust Neural Network for Extracting Dynamics from Electrostatic Force Microscopy Data. - Madeleine D. Breshears; Rajiv Giridharagopal; Justin Pothoof; David S. Ginger (J. Chem. Inf. Model., 2022)

Multioutput Convolutional Neural Network for Improved Parameter Extraction in Time-Resolved Electrostatic Force Microscopy Data. - Madeleine D. Breshears; Rajiv Giridharagopal; David S. Ginger (J. Chem. Inf. Model., 2025)