Benchmark Meta-Dataset of High-Resolution Remote Sensing Imagery for Training Robust Deep Learning Models in Machine-Assisted Visual Analytics. - James Alex Hurt; Grant J. Scott; Derek T. Anderson; Curt H. Davis (AIPR, 2018)

Exploring the Effects of Class-Specific Augmentation and Class Coalescence on Deep Neural Network Performance Using a Novel Road Feature Dataset. - Tyler W. Nivin; Grant J. Scott; James Alex Hurt; Raymond L. Chastain; Curt H. Davis (AIPR, 2018)

Aggregating Deep Convolutional Neural Network Scans of Broad-Area High-Resolution Remote Sensing Imagery. - Grant J. Scott; James Alex Hurt; Richard A. Marcum; Derek T. Anderson; Curt H. Davis (IGARSS, 2018)

Enhanced Fusion of Deep Neural Networks for Classification of Benchmark High-Resolution Image Data Sets. - Grant J. Scott; Kyle C. Hagan; Richard A. Marcum; James Alex Hurt; Derek T. Anderson; Curt H. Davis (IEEE Geosci. Remote. Sens. Lett., 2018)

Decision-Level Fusion of DNN Outputs for Improving Feature Detection Performance on Large-Scale Remote Sensing Image Datasets. - Alan B. Cannaday II; Raymond L. Chastain; James Alex Hurt; Curt H. Davis; Grant J. Scott; Andrew J. Maltenfort (IEEE BigData, 2019)

A Comparison of Deep Learning Vehicle Group Detection in Satellite Imagery. - James Alex Hurt; David Huangal; Curt H. Davis; Grant J. Scott (IEEE BigData, 2019)

Remote Sensing Object Localization with Deep Heterogeneous Superpixel Features. - Alex Yang; James Alex Hurt; Charlie T. Veal; Grant J. Scott (IEEE BigData, 2019)

Linear Order Statistic Neuron. - Charlie T. Veal; Alex Yang; J. Alex Hurt; Muhammad Aminul Islam; Derek T. Anderson; Grant J. Scott; James M. Keller; Timothy C. Havens; Bo Tang 011 (FUZZ-IEEE, 2019)

Comparison of Deep Learning Model Performance between Meta-Dataset Training Versus Deep Neural Ensembles. - James Alex Hurt; Grant J. Scott; Curt H. Davis (IGARSS, 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)

Extending Deep Convolutional Neural Networks from 3-Color to Full Multispectral Remote Sensing Imagery. - Trevor M. Bajkowski; Grant J. Scott; J. Alex Hurt; Curt H. Davis (IEEE BigData, 2020)

Enabling Machine-Assisted Visual Analytics for High-Resolution Remote Sensing Imagery with Enhanced Benchmark Meta-Dataset Training of NAS Neural Networks. - J. Alex Hurt; David Huangal; Curt H. Davis; Grant J. Scott (IEEE BigData, 2020)

Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery. - Grant J. Scott; J. Alex Hurt; Alex Yang; Muhammad Aminul Islam; Derek T. Anderson; Curt H. Davis (IJCNN, 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)

Improved Classification of High Resolution Remote Sensing Imagery with Differential Morphological Profile Neural Network. - J. Alex Hurt; Trevor M. Bajkowski; Grant J. Scott (IGARSS, 2021)

Classification of an 8-Band Multi-Spectral Dataset Using DCNNs with Weight Initializations Derived from Pre-Trained RGB Networks. - Trevor M. Bajkowski; J. Alex Hurt; Curt H. Davis; Grant J. Scott (IGARSS, 2022)

Evolutionary Learning of Differential Morphological Profile Structure for Shape Feature Enabled Faster R-CNN. - J. Alex Hurt; James Keller 001; Grant J. Scott (IJCNN, 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)

Overhead Object Detection with Channel Attention for High-Resolution Multi-Spectral Satellite Imagery and DMP-extracted Shape Features. - J. Alex Hurt; Trevor M. Bajkowski; Curt H. Davis; Grant J. Scott (AIPR, 2023)

Hybrid Differential Morphological Profile Enabled Faster R-Cnn For Object Detection In High-Resolution Remote Sensing Imagery. - J. Alex Hurt; Curt H. Davis; Grant J. Scott (IGARSS, 2023)

Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Images Using Deep Learning Models. - Anes Ouadou; David Huangal; J. Alex Hurt; Grant J. Scott (IGARSS, 2023)

Anthropogenic Object Localization: Evaluation of Broad-Area High-Resolution Imagery Scans Using Deep Learning in Overhead Imagery. - J. Alex Hurt; Ilinca M. Popescu; Curt H. Davis; Grant J. Scott (Sensors, 2023)

Adventures with Grace Hopper AI Super Chip and the National Research Platform. - J. Alex Hurt; Grant J. Scott; Derek Weitzel; Huijun Zhu (CoRR, 2024)

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster. - J. Alex Hurt; Anes Ouadou; Mariam Alshehri; Grant J. Scott (CoRR, 2024)

Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Imagery Using Deep Learning Transformer and Convolutional Attention Networks. - Anes Ouadou; David Huangal; Mariam Alshehri; Grant J. Scott; J. Alex Hurt (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)