Utilizing Spectral Level Crossings: An Example Signal-to-Noise Ratio Estimator. - William H. Clark; Joseph M. Ernst; Robert W. McGwier (Sarnoff Symposium, 2018)

Developing RFML Intuition: An Automatic Modulation Classification Architecture Case Study. - William H. Clark; Vanessa Arndorfer; Brook Tamir; Daniel Kim; Cristian Vives; Hunter Morris; Lauren J. Wong; William C. Headley (MILCOM, 2019)

When is Enough Enough? "Just Enough" Decision Making with Recurrent Neural Networks for Radio Frequency Machine Learning. - Megan O. Moore; William H. Clark; R. Michael Buehrer; William C. Headley (IPCCC, 2020)

Training Data Augmentation for Deep Learning RF Systems. - William H. Clark IV; Steven Conrad Hauser; William C. Headley; Alan J. Michaels (CoRR, 2020)

Multi-Antenna Pre-processing for Improved RFML in Congested Spectral Environments. - M. R. Williamson; William C. Headley; William H. Clark; Joey McCollum; Thomas Krauss; Lauren O. Lusk; D. Jenkins; T. Villemez; Megan O. Moore; Daniel J. Jakubisin; A. Poetter; Alan J. Michaels; et al. (DySPAN, 2021)

Quantifying Dataset Quality in Radio Frequency Machine Learning. - William H. Clark; Alan J. Michaels (MILCOM, 2021)

An RFML Ecosystem: Considerations for the Application of Deep Learning to Spectrum Situational Awareness. - Lauren J. Wong; William H. Clark; Bryse Flowers; R. Michael Buehrer; William C. Headley; Alan J. Michaels (IEEE Open J. Commun. Soc., 2021)

Personalized fusion of ultrasound and electromyography-derived neuromuscular features increases prediction accuracy of ankle moment during plantarflexion. - Qiang Zhang 028; William H. Clark; Jason R. Franz; Nitin Sharma 001 (Biomed. Signal Process. Control., 2022)

Quantifying and Extrapolating Data Needs in Radio Frequency Machine Learning. - William H. Clark IV; Alan J. Michaels (CoRR, 2022)

Rastreo muscular móvil usando magnetomicrometría - traducción al español del articulo "Untethered Muscle Tracking Using Magnetomicrometry" por el autor Cameron R. Taylor. - Cameron Roy Taylor; Seong Ho Yeon; William H. Clark; Ellen G. Clarrissimeaux; Mary Kate O'Donnell; Thomas J. Roberts; Hugh M. Herr (CoRR, 2022)

The Importance of Data in RF Machine Learning. - William H. Clark (2022)

A Real-World Dataset Generator for Specific Emitter Identification. - Braeden P. Muller; Lauren J. Wong; William H. Clark; Alan J. Michaels (IEEE Access, 2023)

Practical Waveform Generation and Labeling for Radio Frequency Applications. - William H. Clark; Thomas Coulon; Elliott Rheault; Alan J. Michaels (MILCOM, 2024)