Gaussian Process Classification using Image Deformation. - David P. Williams (ICASSP (2), 2007)

Comparing spatial hypertext collections. - J. Nathan Matias; David P. Williams (Hypertext, 2009)

Unsupervised seabed segmentation of synthetic aperture sonar imagery via wavelet features and spectral clustering. - David P. Williams (ICIP, 2009)

On the Effects of Synthetic-Aperture Length on SAS Seabed Segmentation. - David P. Williams; Johannes Groen (ISDA, 2009)

Mine Classification With Imbalanced Data. - David P. Williams; Vincent Myers; Miranda Schatten Silvious (IEEE Geosci. Remote. Sens. Lett., 2009)

Bayesian Data Fusion of Multiview Synthetic Aperture Sonar Imagery for Seabed Classification. - David P. Williams (IEEE Trans. Image Process., 2009)

Image-quality prediction of synthetic aperture sonar imagery. - David P. Williams (ICASSP, 2010)

On sand ripple detection in synthetic aperture sonar imagery. - David P. Williams; Enrique Coiras (ICASSP, 2010)

Underwater Mine Classification with Imperfect Labels. - David P. Williams (ICPR, 2010)

On optimal AUV track-spacing for underwater mine detection. - David P. Williams (ICRA, 2010)

On adaptive underwater object detection. - David P. Williams (IROS, 2011)

Label Alteration to Improve Underwater Mine Classification. - David P. Williams (IEEE Geosci. Remote. Sens. Lett., 2011)

In situ AUV survey adaptation using through-the-sensor sonar data. - David P. Williams; Arjan Vermeij; Francesco Baralli; Johannes Groen; Warren L. J. Fox (ICASSP, 2012)

AUV-enabled adaptive underwater surveying for optimal data collection. - David P. Williams (Intell. Serv. Robotics, 2012)

On Human Perception and Automatic Target Recognition: Strategies for Human-Computer Cooperation. - David P. Williams; Michel Couillard; Samantha Dugelay (ICPR, 2014)

Exploiting Environmental Information for Improved Underwater Target Classification in Sonar Imagery. - David P. Williams; Elias Fakiris (IEEE Trans. Geosci. Remote. Sens., 2014)

Multi-look processing of high-resolution SAS data for improved target detection performance. - David P. Williams; Alan J. Hunter 001 (ICIP, 2015)

Fast Unsupervised Seafloor Characterization in Sonar Imagery Using Lacunarity. - David P. Williams (IEEE Trans. Geosci. Remote. Sens., 2015)

Underwater target classification in synthetic aperture sonar imagery using deep convolutional neural networks. - David P. Williams (ICPR, 2016)

Adaptive underwater sonar surveys in the presence of strong currents. - David P. Williams; Francesco Baralli; Michele Micheli; Simone Vasoli (ICRA, 2016)

The Mondrian Detection Algorithm for Sonar Imagery. - David P. Williams (IEEE Trans. Geosci. Remote. Sens., 2018)

Transfer Learning with SAS-Image Convolutional Neural Networks for Improved Underwater Target Classification. - David P. Williams (IGARSS, 2019)

A Novel Framework for Evaluating Performance-Estimation Models. - David P. Williams (IEEE Trans. Geosci. Remote. Sens., 2019)

Data Adaptive Image Enhancement and Classification for Synthetic Aperture Sonar. - Isaac D. Gerg; David P. Williams; Vishal Monga (IGARSS, 2020)

Spectral Partitioning of Synthetic Aperture Sonar Imagery for Improved ATR. - David P. Williams; Daniel C. Brown (IEEE Geosci. Remote. Sens. Lett., 2025)