David S. Ginger

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 5

Top Topics

Adaptive Algorithms

Financial Time Series

Blind Source Separation

Top Venues

J. Chem. Inf. Model.

Publications

Madeleine D. Breshears, Rajiv Giridharagopal, Justin Pothoof, David S. Ginger
A Robust Neural Network for Extracting Dynamics from Electrostatic Force Microscopy Data. J. Chem. Inf. Model. 62 (18) (2022)
Daniel E. Shea, Rajiv Giridharagopal, David S. Ginger, Steven L. Brunton, J. Nathan Kutz
Extraction of Instantaneous Frequencies and Amplitudes in Nonstationary Time-Series Data. IEEE Access 9 (2021)
Daniel E. Shea, Rajiv Giridharagopal, David S. Ginger, Steven L. Brunton, J. Nathan Kutz
Extraction of instantaneous frequencies and amplitudes in nonstationary time-series data. CoRR (2021)
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
Generalizable Framework for Algorithmic Interpretation of Thin Film Morphologies in Scanning Probe Images. J. Chem. Inf. Model. 60 (7) (2020)
Durmus U. Karatay, Jie Zhang, Jeffrey S. Harrison, David S. Ginger
Classifying Force Spectroscopy of DNA Pulling Measurements Using Supervised and Unsupervised Machine Learning Methods. J. Chem. Inf. Model. 56 (4) (2016)