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ORCIDStanton R. Price
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2020 – today
- 2024
[j2]Steven R. Price
, J. Patrick Donohoe, Stanton R. Price, Josh R. Fairley, Stephanie Robert:
Complex Permittivity of Adobe Verses Frequency and Water Content. Remote. Sens. 16(18): 3445 (2024)- 2023
- [c16]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: 1-5 - 2022
- [c15]David Huangal, Grant J. Scott, Stanton R. Price:
Evaluation of Road Segmentation Techniques on Visible and Infrared Low-Altitude UAS Imagery. IGARSS 2022: 299-302 - 2021
- [c14]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: 1-6 - [c13]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: 506-513 - [c12]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: 1-7 - 2020
- [c11]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: 1-13 - [c10]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: 1-9 - [c9]Stanton R. Price, Christina H. Young, Matthew R. Maschmann, Steven R. Price:
Aiding Material Design Through Machine Learning. AIPR 2020: 1-5 - [c8]Charlie T. Veal, Marshall Lindsay, Scott D. Kovaleski, Derek T. Anderson, Stanton R. Price:
Evolutionary Algorithm Driven Explainable Adversarial Artificial Intelligence. SSCI 2020: 913-920 - [i1]Stanton R. Price, Steven R. Price, Derek T. Anderson:
Introducing Fuzzy Layers for Deep Learning. CoRR abs/2003.00880 (2020)
2010 – 2019
- 2019
- [c7]Stanton R. Price, Derek T. Anderson, Steven R. Price:
GOOFeD: Extracting Advanced Features for Image Classification via Improved Genetic Programming. CEC 2019: 1596-1603 - [c6]Stanton R. Price, Steven R. Price, Derek T. Anderson:
Introducing Fuzzy Layers for Deep Learning. FUZZ-IEEE 2019: 1-6 - 2017
- [c5]Stanton R. Price, Derek T. Anderson:
Genetic prOgramming for image feature descriptor learning. CEC 2017: 854-860 - 2015
- [c4]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: 4939-4942 - 2014
- [c3]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: 74-81 - [c2]Derek T. Anderson, Stanton R. Price, Timothy C. Havens:
Regularization-based learning of the Choquet integral. FUZZ-IEEE 2014: 2519-2526 - 2013
- [j1]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): 766-775 (2013) - [c1]Stanton R. Price, Derek T. Anderson, Christian Wagner, Timothy C. Havens, James M. Keller:
Indices for Introspection on the Choquet Integral. WCSC 2013: 261-271
Coauthor Index
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