EBS k-d Tree: An Entropy Balanced Statistical k-d Tree for Image Databases with Ground-Truth Labels. - Grant J. Scott; Chi-Ren Shyu (CIVR, 2003)

Face recognition for homeland security: a computational intelligence approach. - Grant J. Scott; James M. Keller; Marjorie Skubic; Robert H. Luke III (FUZZ-IEEE, 2003)

ProteinDBS: a real-time retrieval system for protein structure comparison. - Chi-Ren Shyu; Pin-Hao Chi; Grant J. Scott; Dong Xu 002 (Nucleic Acids Res., 2004)

Modeling Multi-object Spatial Relationships for Satellite Image Database Indexing and Retrieval. - Grant J. Scott; Matt Klaric; Chi-Ren Shyu (CIVR, 2005)

Automated object extraction through simplification of the differential morphological profile for high-resolution satellite imagery. - Matthew N. Klaric; Grant J. Scott; Chi-Ren Shyu; Curt H. Davis (IGARSS, 2005)

A Fast Protein Structure Retrieval System Using Image-Based Distance Matrices and Multidimensional Index. - Pin-Hao Chi; Grant J. Scott; Chi-Ren Shyu (Int. J. Softw. Eng. Knowl. Eng., 2005)

Mining Visual Associations from User Feedback for Weighting Multiple Indexes in Geospatial Image Retrieval. - Matthew N. Klaric; Grant J. Scott; Chi-Ren Shyu (IGARSS, 2006)

A Framework for Geospatial Satellite Imagery Retrieval Systems. - Matthew Klaric; Grant J. Scott; Chi-Ren Shyu; Curt H. Davis; Kannappan Palaniappan (IGARSS, 2006)

Knowledge Discovery by Mining Association Rules and Temporal-Spatial Information from Large-Scale Geospatial Image Databases. - Chi-Ren Shyu; Matthew N. Klaric; Grant J. Scott; Wannapa Kay Mahamaneerat (IGARSS, 2006)

GeoIRIS: Geospatial Information Retrieval and Indexing System - Content Mining, Semantics Modeling, and Complex Queries. - Chi-Ren Shyu; Matthew N. Klaric; Grant J. Scott; Adrian S. Barb; Curt H. Davis; Kannappan Palaniappan (IEEE Trans. Geosci. Remote. Sens., 2007)

Knowledge-Driven Multidimensional Indexing Structure for Biomedical Media Database Retrieval. - Grant J. Scott; Chi-Ren Shyu (IEEE Trans. Inf. Technol. Biomed., 2007)

Progressive spatial clustering of content-based satellite imagery retrieval results. - Matt Klaric; Grant J. Scott; Chi-Ren Shyu (IGARSS, 2010)

Clustering of detected changes in satellite imagery using fuzzy c-means algorithm. - Ozy Sjahputera; Grant J. Scott; Matthew N. Klaric; Brian C. Claywell; Nicholas J. Hudson 002; James M. Keller; Curt H. Davis (IGARSS, 2010)

Fusion of differential morphological profiles for multi-scale weighted feature pyramid generation in remotely sensed imagery. - Grant J. Scott; Derek T. Anderson (AIPR, 2011)

Entropy-Balanced Bitmap Tree for Shape-Based Object Retrieval From Large-Scale Satellite Imagery Databases. - Grant J. Scott; Matthew N. Klaric; Curt H. Davis; Chi-Ren Shyu (IEEE Trans. Geosci. Remote. Sens., 2011)

Clustering of Detected Changes in High-Resolution Satellite Imagery Using a Stabilized Competitive Agglomeration Algorithm. - Ozy Sjahputera; Grant J. Scott; Brian C. Claywell; Matthew N. Klaric; Nicholas J. Hudson 002; James M. Keller; Curt H. Davis (IEEE Trans. Geosci. Remote. Sens., 2011)

Importance-weighted multi-scale texture and shape descriptor for object recognition in satellite imagery. - Grant J. Scott; Derek T. Anderson (IGARSS, 2012)

Multi-Index Multi-Object Content-Based Retrieval. - Matthew N. Klaric; Grant J. Scott; Chi-Ren Shyu (IEEE Trans. Geosci. Remote. Sens., 2012)

GeoCDX: An Automated Change Detection and Exploitation System for High-Resolution Satellite Imagery. - Matthew N. Klaric; Brian C. Claywell; Grant J. Scott; Nicholas J. Hudson 002; Ozy Sjahputera; Yonghong Li; Seth T. Barratt; James M. Keller; Curt H. Davis (IEEE Trans. Geosci. Remote. Sens., 2013)

GPU-Based PostgreSQL Extensions for Scalable High-Throughput Pattern Matching. - Grant J. Scott; Matthew R. England; Kevin Melkowski; Zachary Fields; Derek T. Anderson (ICPR, 2014)

A multilevel parallel and scalable single-host GPU cluster framework for large-scale geospatial data processing. - Grant J. Scott; Kirk Backus; Derek T. Anderson (IGARSS, 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)

cvTile: Multilevel parallel geospatial data processing with OpenCV and CUDA. - Grant J. Scott; Georgi A. Angelov; Michael L. Reinig; Eric C. Gaudiello; Matthew R. England (IGARSS, 2015)

In-Memory Distributed Indexing for Large-Scale Media Data Retrieval. - Yinmiao Ma; Danlu Liu; Grant J. Scott; Jeffrey Uhlmann; Chi-Ren Shyu (ISM, 2017)

Training Deep Convolutional Neural Networks for Land-Cover Classification of High-Resolution Imagery. - Grant J. Scott; Matthew R. England; William A. Starms; Richard A. Marcum; Curt H. Davis (IEEE Geosci. Remote. Sens. Lett., 2017)

Fusion of Deep Convolutional Neural Networks for Land Cover Classification of High-Resolution Imagery. - Grant J. Scott; Richard A. Marcum; Curt H. Davis; Tyler W. Nivin (IEEE Geosci. Remote. Sens. Lett., 2017)

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)

Explainable AI for Understanding Decisions and Data-Driven Optimization of the Choquet Integral. - Bryce Murray; Muhammad Aminul Islam; Anthony J. Pinar; Timothy C. Havens; Derek T. Anderson; Grant J. Scott (FUZZ-IEEE, 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)

Efficient Passive Sensing Monocular Relative Depth Estimation. - Alex Yang; Grant J. Scott (AIPR, 2019)

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)

Transfer Learning for the Choquet Integral. - Bryce Murray; Muhammad Aminul Islam; Anthony Pinar; Derek T. Anderson; Grant J. Scott; Timothy C. Havens; Fred Petry; Paul Elmore (FUZZ-IEEE, 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)

Improved Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks. - Alan B. Cannaday; Curt H. Davis; Grant J. Scott (IGARSS, 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)

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features. - Alex Yang; Charlie T. Veal; Derek T. Anderson; Grant J. Scott (CoRR, 2019)

Deep Morphological Hit-or-Miss Transform Neural Network. - Muhammad Aminul Islam; Bryce Murray; Andrew R. Buck; Derek T. Anderson; Grant J. Scott; Mihail Popescu; James Keller 001 (CoRR, 2019)

Dynamically Scalable Distributed Virtual Framework Based on Agents and Pub/Sub Pattern for IoT Media Data. - Rasha Gargees; Grant J. Scott (IEEE Internet Things J., 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)

Multi-Stage Distributed Computing for Big Data: Evaluating Connective Topologies. - Rasha Gargees; Grant J. Scott (CCWC, 2020)

Possibilistic Clustering Enabled Neuro Fuzzy Logic. - Blake Ruprecht; Wenlong Wu; Muhammad Aminul Islam; Derek Anderson; James Keller 001; Grant J. Scott; Curt H. Davis; Fred Petry; Paul Elmore; Kristen Nock; Elizabeth Gilmour (FUZZ-IEEE, 2020)

A geographic computational visual feature database for natural and anthropogenic phenomena analysis from multi-resolution remote sensing imagery. - Yulin Cao; Butros M. Dahu; Grant J. Scott (BigSpatial@SIGSPATIAL, 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)

Deep Feature Clustering for Remote Sensing Imagery Land Cover Analysis. - Rasha Gargees; Grant J. Scott (IEEE Geosci. Remote. Sens. Lett., 2020)

Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections From Deep Neural Networks. - Alan B. Cannaday II; Curt H. Davis; Grant J. Scott; Blake Ruprecht; Derek T. Anderson (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Enabling Explainable Fusion in Deep Learning With Fuzzy Integral Neural Networks. - Muhammad Aminul Islam; Derek T. Anderson; Anthony J. Pinar; Timothy C. Havens; Grant J. Scott; James M. Keller (IEEE Trans. Fuzzy Syst., 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)

Evaluation of Sentinel-2 Data for Automatic Maasai Boma Mapping. - Keli Cheng; Trevor M. Bajkowski; Grant J. Scott (AIPR, 2021)

Leveraging Unsupervised Machine Learning to Discover Patterns in Linguistic Health Summaries for Eldercare. - Pallavi Gupta; Omar Ibrahim; Marjorie Skubic; Grant J. Scott (EMBC, 2021)

A Fuzzy Spatial Relationship Graph for Point Clouds Using Bounding Boxes. - Andrew R. Buck; Derek T. Anderson; James M. Keller; Robert H. Luke III; Grant J. Scott (FUZZ-IEEE, 2021)

Simulated Photorealistic Deep Learning Framework and Workflows to Accelerate Computer Vision and Unmanned Aerial Vehicle Research. - Brendan Alvey; Derek T. Anderson; Andrew R. Buck; Matthew Deardorff; Grant J. Scott; James M. Keller (ICCVW, 2021)

Automatic Maasailand Boma Mapping with Deep Neural Networks. - Keli Cheng; Ilinca M. Popescu; Lincoln Sheets; Grant J. Scott (IGARSS, 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)

Large-Scale, Multiple Level-of-Detail Change Detection from Remote Sensing Imagery Using Deep Visual Feature Clustering. - Rasha Gargees; Grant J. Scott (Remote. Sens., 2021)

Explainable AI for the Choquet Integral. - Bryce J. Murray; Muhammad Aminul Islam; Anthony J. Pinar; Derek T. Anderson; Grant J. Scott; Timothy C. Havens; James M. Keller (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks. - Muhammad Aminul Islam; Bryce Murray; Andrew R. Buck; Derek T. Anderson; Grant J. Scott; Mihail Popescu; James Keller 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

A Computational Respiration Factor to Detect Abnormal Respiratory Patterns Using a Hydraulic Bed Sensor for Older Adults Aging-in-place. - Pallavi Gupta; Laurel Despins; David Heise; Jamal Saied-Walker; Ruhan Yi; Marjorie Skubic; Grant J. Scott (AMIA, 2022)

Enabling Scalable Analytics of Physiological Sensor and Derived Feature Multi-Modal Time-Series with Big Data Management. - Jamal Saied-Walker; Pallavi Gupta; Ruhan Yi; Noah Marchal; Marjorie Skubic; Grant J. Scott (IEEE Big Data, 2022)

HTIDB: Hierarchical Time-Indexed Database for Efficient Storage and Access to Irregular Time-series Health Sensor Data. - Grant J. Scott; Jamal Saied-Walker; Noah Marchal; Hang Yu; Marjorie Skubic (EMBC, 2022)

A Comparison of Relative Position Descriptors for 3D Objects. - Andrew R. Buck; Derek T. Anderson; James M. Keller; Robert H. Luke III; Grant J. Scott (FUZZ-IEEE, 2022)

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)

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

Analysis of Deep Learning Techniques for Maasai Boma Mapping in Tanzania. - Keli Cheng; Ilinca M. Popescu; Lincoln Sheets; Grant J. Scott (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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)

GPU-accelerated PostgreSQL for Scalable Management and Processing of Irregular Time-Series Data using SPI. - Jamal Saied-Walker; Pallavi Gupta; Ruhan Yi; Noah Marchal; Marjorie Skubic; Grant J. Scott (IEEE Big Data, 2023)

Cohort Discovery from Bed Sensor Data with Fuzzy Evidence Accumulation Clustering. - Trevor M. Bajkowski; Noah Marchal; Jamal Saied-Walker; Pallavi Gupta; James M. Keller; Marjorie Skubic; Grant J. Scott (FUZZ, 2023)

Human-in-the-Loop (HITL) Augmented Growing Neural Gas for Labeling Aerial Image Datasets. - Jeffrey Schulz; Derek T. Anderson; James M. Keller; Grant J. Scott; Robert H. Luke III (FUZZ, 2023)

Evaluation of a Meta-Transfer Approach for Few-Shot Remote Sensing Scene Classification. - Keli Cheng; Grant J. Scott (IGARSS, 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)

Exploring the Geospatial Relationship Between COVID-19 Positivity and Income in Mixed Urban-Rural Population. - Butros M. Dahu; Solaiman Khan; Lincoln R. Sheets; Grant J. Scott (MedInfo, 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)

Deep Seasonal Network for Remote Sensing Imagery Classification of Multi-Temporal Sentinel-2 Data. - Keli Cheng; Grant J. Scott (Remote. Sens., 2023)

A semi-supervised approach to unobtrusively predict abnormality in breathing patterns using hydraulic bed sensor data in older adults aging in place. - Pallavi Gupta; Jamal Saied-Walker; Laurel Despins; David Heise; James Keller 001; Marjorie Skubic; Ruhan Yi; Grant J. Scott (J. Biomed. Informatics, 2023)

DNN Object Detection in High-Resolution Multispectral Satellite Imagery with Varied Bit-Depth and Spectral Bands. - Trevor M. Bajkowski; Curt H. Davis; Grant J. Scott (IGARSS, 2024)

Land Valuation Using an Innovative Model Combining Machine Learning and Spatial Context. - Feride Tanrikulu; Timothy L. Haithcoat; Grant J. Scott; Matthew Foulkes; Ilker Ersoy (IGARSS, 2024)

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)

Deep Transformer-Based Network Deforestation Detection in the Brazilian Amazon Using Sentinel-2 Imagery. - Mariam Alshehri; Anes Ouadou; Grant J. Scott (IEEE Geosci. Remote. Sens. Lett., 2024)

Evaluating the Reliability of ChatGPT for Health-Related Questions: A Systematic Review. - Mohammad Beheshti; Imad Eddine Toubal; Khuder Alaboud; Mohammed Almalaysha; Olabode B. Ogundele; Hamza Turabieh; Nader Abdalnabi; Suzanne A. Boren; Grant J. Scott; Butros M. Dahu (Informatics, 2025)

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)