Indices for Introspection on the Choquet Integral. - Stanton R. Price; Derek T. Anderson; Christian Wagner 002; Timothy C. Havens; James M. Keller (WCSC, 2013)

Comparing Fuzzy, Probabilistic, and Possibilistic Partitions Using the Earth Mover's Distance. - Derek T. Anderson; Alina Zare; Stanton R. Price (IEEE Trans. Fuzzy Syst., 2013)

An improved evolution-constructed (iECO) features framework: Distribution statement A: Approved for public release; distribution is unlimited. - Stanton R. Price; Derek T. Anderson; Robert H. Luke III (CIMSIVP, 2014)

Regularization-based learning of the Choquet integral. - Derek T. Anderson; Stanton R. Price; Timothy C. Havens (FUZZ-IEEE, 2014)

Soft segmentation weighted IECO descriptors for object recognition in satellite imagery. - Stanton R. Price; Derek T. Anderson; Matthew R. England; Grant J. Scott (IGARSS, 2015)

Genetic prOgramming for image feature descriptor learning. - Stanton R. Price; Derek T. Anderson (CEC, 2017)

GOOFeD: Extracting Advanced Features for Image Classification via Improved Genetic Programming. - Stanton R. Price; Derek T. Anderson; Steven R. Price (CEC, 2019)

Introducing Fuzzy Layers for Deep Learning. - Stanton R. Price; Steven R. Price; Derek T. Anderson (FUZZ-IEEE, 2019)

Spatiotemporal Maneuverability Hazard Analytics from Low-Altitude UAS Sensors. - Trevor M. Bajkowski; David Huangal; J. Alex Hurt; Jeffrey Dale; James M. Keller; Grant J. Scott; Stanton R. Price (AIPR, 2020)

Detection of unknown maneuverability hazards in low-altitude UAS color imagery using linear features. - Jeffrey J. Dale; David Huangal; J. Alex Hurt; Trevor M. Bajkowski; James M. Keller; Grant J. Scott; Stanton R. Price (AIPR, 2020)

Aiding Material Design Through Machine Learning. - Stanton R. Price; Christina H. Young; Matthew R. Maschmann; Steven R. Price (AIPR, 2020)

Evolutionary Algorithm Driven Explainable Adversarial Artificial Intelligence. - Charlie T. Veal; Marshall Lindsay; Scott D. Kovaleski; Derek T. Anderson; Stanton R. Price (SSCI, 2020)

Evaluating Visuospatial Features for Tracking Hazards in Overhead UAS Imagery. - Trevor M. Bajkowski; J. Alex Hurt; Jeffrey Dale; David Huangal; James M. Keller; Grant J. Scott; Stanton R. Price (AIPR, 2021)

A Comparison of Evolutionary and Neural Attention Modeling Relative to Adversarial Learning. - Charlie T. Veal; Marshall Lindsay; Scott D. Kovaleski; Derek T. Anderson; Stanton R. Price (CEC, 2021)

Neural Metric Learning using Contrastive Anchors to Enforce Feature Separability. - Charlie T. Veal; Marshall Lindsay; Scott D. Kovaleski; Derek T. Anderson; Stanton R. Price (SSCI, 2021)

Evaluation of Road Segmentation Techniques on Visible and Infrared Low-Altitude UAS Imagery. - David Huangal; Grant J. Scott; Stanton R. Price (IGARSS, 2022)

Towards Automated Nanoenergetic Reaction Characterization with Computational Vision. - Timothy B. Gaines; J. Alex Hurt; James M. Keller; Grant J. Scott; Camden I. Boyle; Matthew R. Maschmann; Stanton R. Price (AIPR, 2023)

Complex Permittivity of Adobe Verses Frequency and Water Content. - Steven R. Price; J. Patrick Donohoe; Stanton R. Price; Josh R. Fairley; Stephanie Robert (Remote. Sens., 2024)