Stanton R. Price

21 papers B 5C 2Journal 3Unranked 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
Complex Permittivity of Adobe Verses Frequency and Water Content.
Remote. Sens.
Steven R. Price, J. Patrick Donohoe, Stanton R. Price, Josh R. Fairley, Stephanie Robert
2024 — conf
Scanning Electron Microscope Image Segmentation with Foundation AI Vision Model for Nanoparticles in Autonomous Materials Explorations.
CAI
Timothy B. Gaines, Camden I. Boyle, James M. Keller, Matthew R. Maschmann, Stanton R. Price, Grant J. Scott
2023 — conf
Multi-scale inverse design of optical metasurfaces using physics-informed computational intelligence.
CAI
Marshall B. Lindsay, Andy G. Varner, Scott D. Kovaleski, Charlie T. Veal, Derek T. Anderson, Stanton R. Price, Steven R. Price
2023 — conf
Towards Automated Nanoenergetic Reaction Characterization with Computational Vision.
AIPR
Timothy B. Gaines, J. Alex Hurt, James M. Keller, Grant J. Scott, Camden I. Boyle, Matthew R. Maschmann, Stanton R. Price
2022 C conf
Evaluation of Road Segmentation Techniques on Visible and Infrared Low-Altitude UAS Imagery.
IGARSS
David Huangal, Grant J. Scott, Stanton R. Price
2021 B conf
A Comparison of Evolutionary and Neural Attention Modeling Relative to Adversarial Learning.
CEC
Charlie T. Veal, Marshall B. Lindsay, Scott D. Kovaleski, Derek T. Anderson, Stanton R. Price
2021 — conf
Evaluating Visuospatial Features for Tracking Hazards in Overhead UAS Imagery.
AIPR
Trevor M. Bajkowski, J. Alex Hurt, Jeffrey Dale, David Huangal, James M. Keller, Grant J. Scott, Stanton R. Price
2021 — conf
Neural Metric Learning using Contrastive Anchors to Enforce Feature Separability.
SSCI
Charlie T. Veal, Marshall B. Lindsay, Scott D. Kovaleski, Derek T. Anderson, Stanton R. Price
2020 — conf
Aiding Material Design Through Machine Learning.
AIPR
Stanton R. Price, Christina H. Young, Matthew R. Maschmann, Steven R. Price
2020 — conf
Detection of unknown maneuverability hazards in low-altitude UAS color imagery using linear features.
AIPR
Jeffrey J. Dale, David Huangal, J. Alex Hurt, Trevor M. Bajkowski, James M. Keller, Grant J. Scott, Stanton R. Price
2020 — conf
Evolutionary Algorithm Driven Explainable Adversarial Artificial Intelligence.
SSCI
Charlie T. Veal, Marshall B. Lindsay, Scott D. Kovaleski, Derek T. Anderson, Stanton R. Price
2020 J jnl
Introducing Fuzzy Layers for Deep Learning.
CoRR
Stanton R. Price, Steven R. Price, Derek T. Anderson
2020 — conf
Spatiotemporal Maneuverability Hazard Analytics from Low-Altitude UAS Sensors.
AIPR
Trevor M. Bajkowski, David Huangal, J. Alex Hurt, Jeffrey Dale, James M. Keller, Grant J. Scott, Stanton R. Price
2019 B conf
GOOFeD: Extracting Advanced Features for Image Classification via Improved Genetic Programming.
CEC
Stanton R. Price, Derek T. Anderson, Steven R. Price
2019 B conf
Introducing Fuzzy Layers for Deep Learning.
FUZZ-IEEE
Stanton R. Price, Steven R. Price, Derek T. Anderson
2017 B conf
Genetic prOgramming for image feature descriptor learning.
CEC
Stanton R. Price, Derek T. Anderson
2015 C conf
Soft segmentation weighted IECO descriptors for object recognition in satellite imagery.
IGARSS
Stanton R. Price, Derek T. Anderson, Matthew R. England, Grant J. Scott
2014 — conf
An improved evolution-constructed (iECO) features framework: Distribution statement A: Approved for public release; distribution is unlimited.
CIMSIVP
Stanton R. Price, Derek T. Anderson, Robert H. Luke III
2014 B conf
Regularization-based learning of the Choquet integral.
FUZZ-IEEE
Derek T. Anderson, Stanton R. Price, Timothy C. Havens
2013 J jnl
Comparing Fuzzy, Probabilistic, and Possibilistic Partitions Using the Earth Mover's Distance.
IEEE Trans. Fuzzy Syst.
Derek T. Anderson, Alina Zare, Stanton R. Price
2013 — conf
Indices for Introspection on the Choquet Integral.
WCSC
Stanton R. Price, Derek T. Anderson, Christian Wagner, Timothy C. Havens, James M. Keller