Stanton R. Price

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 13

Top Topics

Linear Features

Genetic Programming

Top Venues

Publications

Timothy B. Gaines, J. Alex Hurt, James M. Keller, Grant J. Scott, Camden I. Boyle, Matthew R. Maschmann, Stanton R. Price
Towards Automated Nanoenergetic Reaction Characterization with Computational Vision. AIPR (2023)
David Huangal, Grant J. Scott, Stanton R. Price
Evaluation of Road Segmentation Techniques on Visible and Infrared Low-Altitude UAS Imagery. IGARSS (2022)
Charlie T. Veal, Marshall Lindsay, Scott D. Kovaleski, Derek T. Anderson, Stanton R. Price
A Comparison of Evolutionary and Neural Attention Modeling Relative to Adversarial Learning. CEC (2021)
Trevor M. Bajkowski, J. Alex Hurt, Jeffrey Dale, David Huangal, James M. Keller, Grant J. Scott, Stanton R. Price
Evaluating Visuospatial Features for Tracking Hazards in Overhead UAS Imagery. AIPR (2021)
Charlie T. Veal, Marshall Lindsay, Scott D. Kovaleski, Derek T. Anderson, Stanton R. Price
Neural Metric Learning using Contrastive Anchors to Enforce Feature Separability. SSCI (2021)
Stanton R. Price, Christina H. Young, Matthew R. Maschmann, Steven R. Price
Aiding Material Design Through Machine Learning. AIPR (2020)
Trevor M. Bajkowski, David Huangal, J. Alex Hurt, Jeffrey Dale, James M. Keller, Grant J. Scott, Stanton R. Price
Spatiotemporal Maneuverability Hazard Analytics from Low-Altitude UAS Sensors. AIPR (2020)
Stanton R. Price, Steven R. Price, Derek T. Anderson
Introducing Fuzzy Layers for Deep Learning. CoRR (2020)
Charlie T. Veal, Marshall Lindsay, Scott D. Kovaleski, Derek T. Anderson, Stanton R. Price
Evolutionary Algorithm Driven Explainable Adversarial Artificial Intelligence. SSCI (2020)
Jeffrey J. Dale, David Huangal, J. Alex Hurt, Trevor M. Bajkowski, James M. Keller, Grant J. Scott, Stanton R. Price
Detection of unknown maneuverability hazards in low-altitude UAS color imagery using linear features. AIPR (2020)
Stanton R. Price, Derek T. Anderson, Steven R. Price
GOOFeD: Extracting Advanced Features for Image Classification via Improved Genetic Programming. CEC (2019)
Stanton R. Price, Steven R. Price, Derek T. Anderson
Introducing Fuzzy Layers for Deep Learning. FUZZ-IEEE (2019)
Stanton R. Price, Derek T. Anderson
Genetic prOgramming for image feature descriptor learning. CEC (2017)
Stanton R. Price, Derek T. Anderson, Matthew R. England, Grant J. Scott
Soft segmentation weighted IECO descriptors for object recognition in satellite imagery. IGARSS (2015)
Derek T. Anderson, Stanton R. Price, Timothy C. Havens
Regularization-based learning of the Choquet integral. FUZZ-IEEE (2014)
Stanton R. Price, Derek T. Anderson, Robert H. Luke III
An improved evolution-constructed (iECO) features framework: Distribution statement A: Approved for public release; distribution is unlimited. CIMSIVP (2014)
Derek T. Anderson, Alina Zare, Stanton R. Price
Comparing Fuzzy, Probabilistic, and Possibilistic Partitions Using the Earth Mover's Distance. IEEE Trans. Fuzzy Syst. 21 (4) (2013)
Stanton R. Price, Derek T. Anderson, Christian Wagner, Timothy C. Havens, James M. Keller
Indices for Introspection on the Choquet Integral. WCSC (2013)