Grant J. Scott

96 papers B 12C 24Misc 1Journal 32Unranked 27

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evaluating the Reliability of ChatGPT for Health-Related Questions: A Systematic Review. Informatics 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
2025	J	`jnl`	Evaluation and Analysis of Deep Neural Transformers and Convolutional Neural Networks on Modern Remote Sensing Datasets. CoRR J. Alex Hurt, Trevor M. Bajkowski, Grant J. Scott, Curt H. Davis
2025	J	`jnl`	Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Imagery Using Deep Learning Transformer and Convolutional Attention Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Anes Ouadou, David Huangal, Mariam Alshehri, Grant J. Scott, J. Alex Hurt
2024	J	`jnl`	Adventures with Grace Hopper AI Super Chip and the National Research Platform. CoRR J. Alex Hurt, Grant J. Scott, Derek Weitzel, Huijun Zhu
2024	C	`conf`	DNN Object Detection in High-Resolution Multispectral Satellite Imagery with Varied Bit-Depth and Spectral Bands. IGARSS Trevor M. Bajkowski, Curt H. Davis, Grant J. Scott
2024	J	`jnl`	Deep Transformer-Based Network Deforestation Detection in the Brazilian Amazon Using Sentinel-2 Imagery. IEEE Geosci. Remote. Sens. Lett. Mariam Alshehri, Anes Ouadou, Grant J. Scott
2024	C	`conf`	Land Valuation Using an Innovative Model Combining Machine Learning and Spatial Context. IGARSS Feride Tanrikulu, Timothy L. Haithcoat, Grant J. Scott, Matthew Foulkes, Ilker Ersoy
2024	J	`jnl`	Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster. CoRR J. Alex Hurt, Anes Ouadou, Mariam Alshehri, Grant J. Scott
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	J	`jnl`	A semi-supervised approach to unobtrusively predict abnormality in breathing patterns using hydraulic bed sensor data in older adults aging in place. J. Biomed. Informatics Pallavi Gupta, Jamal Saied-Walker, Laurel Despins, David Heise, James Keller, Marjorie Skubic, Ruhan Yi, Grant J. Scott
2023	J	`jnl`	Anthropogenic Object Localization: Evaluation of Broad-Area High-Resolution Imagery Scans Using Deep Learning in Overhead Imagery. Sensors J. Alex Hurt, Ilinca M. Popescu, Curt H. Davis, Grant J. Scott
2023	—	`conf`	Cohort Discovery from Bed Sensor Data with Fuzzy Evidence Accumulation Clustering. FUZZ Trevor M. Bajkowski, Noah Marchal, Jamal Saied-Walker, Pallavi Gupta, James M. Keller, Marjorie Skubic, Grant J. Scott
2023	J	`jnl`	Deep Seasonal Network for Remote Sensing Imagery Classification of Multi-Temporal Sentinel-2 Data. Remote. Sens. Keli Cheng, Grant J. Scott
2023	—	`conf`	Deforestation Detection in the Brazilian Amazon Using Transformer-based Networks. CAI Mariam Alshehri, Anes Ouadou, Grant J. Scott
2023	C	`conf`	Evaluation of a Meta-Transfer Approach for Few-Shot Remote Sensing Scene Classification. IGARSS Keli Cheng, Grant J. Scott
2023	—	`conf`	Exploring the Geospatial Relationship Between COVID-19 Positivity and Income in Mixed Urban-Rural Population. MedInfo Butros M. Dahu, Solaiman Khan, Lincoln R. Sheets, Grant J. Scott
2023	B	`conf`	GPU-accelerated PostgreSQL for Scalable Management and Processing of Irregular Time-Series Data using SPI. IEEE Big Data Jamal Saied-Walker, Pallavi Gupta, Ruhan Yi, Noah Marchal, Marjorie Skubic, Grant J. Scott
2023	—	`conf`	Human-in-the-Loop (HITL) Augmented Growing Neural Gas for Labeling Aerial Image Datasets. FUZZ Jeffrey Schulz, Derek T. Anderson, James M. Keller, Grant J. Scott, Robert H. Luke III
2023	C	`conf`	Hybrid Differential Morphological Profile Enabled Faster R-Cnn For Object Detection In High-Resolution Remote Sensing Imagery. IGARSS J. Alex Hurt, Curt H. Davis, Grant J. Scott
2023	—	`conf`	Overhead Object Detection with Channel Attention for High-Resolution Multi-Spectral Satellite Imagery and DMP-extracted Shape Features. AIPR J. Alex Hurt, Trevor M. Bajkowski, Curt H. Davis, Grant J. Scott
2023	C	`conf`	Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Images Using Deep Learning Models. IGARSS Anes Ouadou, David Huangal, J. Alex Hurt, Grant J. Scott
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	B	`conf`	A Comparison of Relative Position Descriptors for 3D Objects. FUZZ-IEEE Andrew R. Buck, Derek T. Anderson, James M. Keller, Robert H. Luke III, Grant J. Scott
2022	Misc	`conf`	A Computational Respiration Factor to Detect Abnormal Respiratory Patterns Using a Hydraulic Bed Sensor for Older Adults Aging-in-place. AMIA Pallavi Gupta, Laurel Despins, David Heise, Jamal Saied-Walker, Ruhan Yi, Marjorie Skubic, Grant J. Scott
2022	J	`jnl`	Analysis of Deep Learning Techniques for Maasai Boma Mapping in Tanzania. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Keli Cheng, Ilinca M. Popescu, Lincoln Sheets, Grant J. Scott
2022	C	`conf`	Classification of an 8-Band Multi-Spectral Dataset Using DCNNs with Weight Initializations Derived from Pre-Trained RGB Networks. IGARSS Trevor M. Bajkowski, J. Alex Hurt, Curt H. Davis, Grant J. Scott
2022	B	`conf`	Enabling Scalable Analytics of Physiological Sensor and Derived Feature Multi-Modal Time-Series with Big Data Management. IEEE Big Data Jamal Saied-Walker, Pallavi Gupta, Ruhan Yi, Noah Marchal, Marjorie Skubic, Grant J. Scott
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
2022	B	`conf`	Evolutionary Learning of Differential Morphological Profile Structure for Shape Feature Enabled Faster R-CNN. IJCNN J. Alex Hurt, James Keller, Grant J. Scott
2022	—	`conf`	HTIDB: Hierarchical Time-Indexed Database for Efficient Storage and Access to Irregular Time-series Health Sensor Data. EMBC Grant J. Scott, Jamal Saied-Walker, Noah Marchal, Hang Yu, Marjorie Skubic
2021	B	`conf`	A Fuzzy Spatial Relationship Graph for Point Clouds Using Bounding Boxes. FUZZ-IEEE Andrew R. Buck, Derek T. Anderson, James M. Keller, Robert H. Luke III, Grant J. Scott
2021	C	`conf`	Automatic Maasailand Boma Mapping with Deep Neural Networks. IGARSS Keli Cheng, Ilinca M. Popescu, Lincoln Sheets, Grant J. Scott
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`	Evaluation of Sentinel-2 Data for Automatic Maasai Boma Mapping. AIPR Keli Cheng, Trevor M. Bajkowski, Grant J. Scott
2021	J	`jnl`	Explainable AI for the Choquet Integral. IEEE Trans. Emerg. Top. Comput. Intell. Bryce J. Murray, Muhammad Aminul Islam, Anthony J. Pinar, Derek T. Anderson, Grant J. Scott, Timothy C. Havens, James M. Keller
2021	J	`jnl`	Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Muhammad Aminul Islam, Bryce Murray, Andrew R. Buck, Derek T. Anderson, Grant J. Scott, Mihail Popescu, James Keller
2021	C	`conf`	Improved Classification of High Resolution Remote Sensing Imagery with Differential Morphological Profile Neural Network. IGARSS J. Alex Hurt, Trevor M. Bajkowski, Grant J. Scott
2021	J	`jnl`	Large-Scale, Multiple Level-of-Detail Change Detection from Remote Sensing Imagery Using Deep Visual Feature Clustering. Remote. Sens. Rasha Gargees, Grant J. Scott
2021	—	`conf`	Leveraging Unsupervised Machine Learning to Discover Patterns in Linguistic Health Summaries for Eldercare. EMBC Pallavi Gupta, Omar Ibrahim, Marjorie Skubic, Grant J. Scott
2021	—	`conf`	Simulated Photorealistic Deep Learning Framework and Workflows to Accelerate Computer Vision and Unmanned Aerial Vehicle Research. ICCVW Brendan Alvey, Derek T. Anderson, Andrew R. Buck, Matthew Deardorff, Grant J. Scott, James M. Keller
2020	—	`conf`	A geographic computational visual feature database for natural and anthropogenic phenomena analysis from multi-resolution remote sensing imagery. BigSpatial@SIGSPATIAL Yulin Cao, Butros M. Dahu, Grant J. Scott
2020	J	`jnl`	Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections From Deep Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Alan B. Cannaday II, Curt H. Davis, Grant J. Scott, Blake Ruprecht, Derek T. Anderson
2020	J	`jnl`	Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks. CoRR Alan B. Cannaday II, Curt H. Davis, Grant J. Scott, Blake Ruprecht, Derek T. Anderson
2020	J	`jnl`	Deep Feature Clustering for Remote Sensing Imagery Land Cover Analysis. IEEE Geosci. Remote. Sens. Lett. Rasha Gargees, Grant J. Scott
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	B	`conf`	Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery. IJCNN Grant J. Scott, J. Alex Hurt, Alex Yang, Muhammad Aminul Islam, Derek T. Anderson, Curt H. Davis
2020	J	`jnl`	Enabling Explainable Fusion in Deep Learning With Fuzzy Integral Neural Networks. IEEE Trans. Fuzzy Syst. Muhammad Aminul Islam, Derek T. Anderson, Anthony J. Pinar, Timothy C. Havens, Grant J. Scott, James M. Keller
2020	—	`conf`	Enabling Machine-Assisted Visual Analytics for High-Resolution Remote Sensing Imagery with Enhanced Benchmark Meta-Dataset Training of NAS Neural Networks. IEEE BigData J. Alex Hurt, David Huangal, Curt H. Davis, Grant J. Scott
2020	—	`conf`	Extending Deep Convolutional Neural Networks from 3-Color to Full Multispectral Remote Sensing Imagery. IEEE BigData Trevor M. Bajkowski, Grant J. Scott, J. Alex Hurt, Curt H. Davis
2020	—	`conf`	Multi-Stage Distributed Computing for Big Data: Evaluating Connective Topologies. CCWC Rasha Gargees, Grant J. Scott
2020	B	`conf`	Possibilistic Clustering Enabled Neuro Fuzzy Logic. FUZZ-IEEE Blake Ruprecht, Wenlong Wu, Muhammad Aminul Islam, Derek Anderson, James Keller, Grant J. Scott, Curt H. Davis, Fred Petry, Paul Elmore, Kristen Nock, Elizabeth Gilmour
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	—	`conf`	A Comparison of Deep Learning Vehicle Group Detection in Satellite Imagery. IEEE BigData James Alex Hurt, David Huangal, Curt H. Davis, Grant J. Scott
2019	C	`conf`	Comparison of Deep Learning Model Performance between Meta-Dataset Training Versus Deep Neural Ensembles. IGARSS James Alex Hurt, Grant J. Scott, Curt H. Davis
2019	—	`conf`	Decision-Level Fusion of DNN Outputs for Improving Feature Detection Performance on Large-Scale Remote Sensing Image Datasets. IEEE BigData Alan B. Cannaday II, Raymond L. Chastain, James Alex Hurt, Curt H. Davis, Grant J. Scott, Andrew J. Maltenfort
2019	J	`jnl`	Deep Morphological Hit-or-Miss Transform Neural Network. CoRR Muhammad Aminul Islam, Bryce Murray, Andrew R. Buck, Derek T. Anderson, Grant J. Scott, Mihail Popescu, James Keller
2019	J	`jnl`	Dynamically Scalable Distributed Virtual Framework Based on Agents and Pub/Sub Pattern for IoT Media Data. IEEE Internet Things J. Rasha Gargees, Grant J. Scott
2019	—	`conf`	Efficient Passive Sensing Monocular Relative Depth Estimation. AIPR Alex Yang, Grant J. Scott
2019	J	`jnl`	Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks. CoRR Muhammad Aminul Islam, Derek T. Anderson, Anthony J. Pinar, Timothy C. Havens, Grant J. Scott, James M. Keller
2019	C	`conf`	Improved Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks. IGARSS Alan B. Cannaday, Curt H. Davis, Grant J. Scott
2019	B	`conf`	Linear Order Statistic Neuron. FUZZ-IEEE 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
2019	J	`jnl`	Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features. CoRR Alex Yang, Charlie T. Veal, Derek T. Anderson, Grant J. Scott
2019	—	`conf`	Remote Sensing Object Localization with Deep Heterogeneous Superpixel Features. IEEE BigData Alex Yang, James Alex Hurt, Charlie T. Veal, Grant J. Scott
2019	B	`conf`	Transfer Learning for the Choquet Integral. FUZZ-IEEE Bryce Murray, Muhammad Aminul Islam, Anthony Pinar, Derek T. Anderson, Grant J. Scott, Timothy C. Havens, Fred Petry, Paul Elmore
2018	C	`conf`	Aggregating Deep Convolutional Neural Network Scans of Broad-Area High-Resolution Remote Sensing Imagery. IGARSS Grant J. Scott, James Alex Hurt, Richard A. Marcum, Derek T. Anderson, Curt H. Davis
2018	—	`conf`	Benchmark Meta-Dataset of High-Resolution Remote Sensing Imagery for Training Robust Deep Learning Models in Machine-Assisted Visual Analytics. AIPR James Alex Hurt, Grant J. Scott, Derek T. Anderson, Curt H. Davis
2018	J	`jnl`	Enhanced Fusion of Deep Neural Networks for Classification of Benchmark High-Resolution Image Data Sets. IEEE Geosci. Remote. Sens. Lett. Grant J. Scott, Kyle C. Hagan, Richard A. Marcum, James Alex Hurt, Derek T. Anderson, Curt H. Davis
2018	B	`conf`	Explainable AI for Understanding Decisions and Data-Driven Optimization of the Choquet Integral. FUZZ-IEEE Bryce Murray, Muhammad Aminul Islam, Anthony J. Pinar, Timothy C. Havens, Derek T. Anderson, Grant J. Scott
2018	—	`conf`	Exploring the Effects of Class-Specific Augmentation and Class Coalescence on Deep Neural Network Performance Using a Novel Road Feature Dataset. AIPR Tyler W. Nivin, Grant J. Scott, James Alex Hurt, Raymond L. Chastain, Curt H. Davis
2017	J	`jnl`	Fusion of Deep Convolutional Neural Networks for Land Cover Classification of High-Resolution Imagery. IEEE Geosci. Remote. Sens. Lett. Grant J. Scott, Richard A. Marcum, Curt H. Davis, Tyler W. Nivin
2017	C	`conf`	In-Memory Distributed Indexing for Large-Scale Media Data Retrieval. ISM Yinmiao Ma, Danlu Liu, Grant J. Scott, Jeffrey Uhlmann, Chi-Ren Shyu
2017	J	`jnl`	Training Deep Convolutional Neural Networks for Land-Cover Classification of High-Resolution Imagery. IEEE Geosci. Remote. Sens. Lett. Grant J. Scott, Matthew R. England, William A. Starms, Richard A. Marcum, Curt H. Davis
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
2015	C	`conf`	cvTile: Multilevel parallel geospatial data processing with OpenCV and CUDA. IGARSS Grant J. Scott, Georgi A. Angelov, Michael L. Reinig, Eric C. Gaudiello, Matthew R. England
2014	C	`conf`	A multilevel parallel and scalable single-host GPU cluster framework for large-scale geospatial data processing. IGARSS Grant J. Scott, Kirk Backus, Derek T. Anderson
2014	B	`conf`	GPU-Based PostgreSQL Extensions for Scalable High-Throughput Pattern Matching. ICPR Grant J. Scott, Matthew R. England, Kevin Melkowski, Zachary Fields, Derek T. Anderson
2013	J	`jnl`	GeoCDX: An Automated Change Detection and Exploitation System for High-Resolution Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. Matthew N. Klaric, Brian C. Claywell, Grant J. Scott, Nicholas J. Hudson, Ozy Sjahputera, Yonghong Li, Seth T. Barratt, James M. Keller, Curt H. Davis
2012	C	`conf`	Importance-weighted multi-scale texture and shape descriptor for object recognition in satellite imagery. IGARSS Grant J. Scott, Derek T. Anderson
2012	J	`jnl`	Multi-Index Multi-Object Content-Based Retrieval. IEEE Trans. Geosci. Remote. Sens. Matthew N. Klaric, Grant J. Scott, Chi-Ren Shyu
2011	J	`jnl`	Clustering of Detected Changes in High-Resolution Satellite Imagery Using a Stabilized Competitive Agglomeration Algorithm. IEEE Trans. Geosci. Remote. Sens. Ozy Sjahputera, Grant J. Scott, Brian C. Claywell, Matthew N. Klaric, Nicholas J. Hudson, James M. Keller, Curt H. Davis
2011	J	`jnl`	Entropy-Balanced Bitmap Tree for Shape-Based Object Retrieval From Large-Scale Satellite Imagery Databases. IEEE Trans. Geosci. Remote. Sens. Grant J. Scott, Matthew N. Klaric, Curt H. Davis, Chi-Ren Shyu
2011	—	`conf`	Fusion of differential morphological profiles for multi-scale weighted feature pyramid generation in remotely sensed imagery. AIPR Grant J. Scott, Derek T. Anderson
2010	C	`conf`	Clustering of detected changes in satellite imagery using fuzzy c-means algorithm. IGARSS Ozy Sjahputera, Grant J. Scott, Matthew N. Klaric, Brian C. Claywell, Nicholas J. Hudson, James M. Keller, Curt H. Davis
2010	C	`conf`	Progressive spatial clustering of content-based satellite imagery retrieval results. IGARSS Matt Klaric, Grant J. Scott, Chi-Ren Shyu
2007	J	`jnl`	GeoIRIS: Geospatial Information Retrieval and Indexing System - Content Mining, Semantics Modeling, and Complex Queries. IEEE Trans. Geosci. Remote. Sens. Chi-Ren Shyu, Matthew N. Klaric, Grant J. Scott, Adrian S. Barb, Curt H. Davis, Kannappan Palaniappan
2007	J	`jnl`	Knowledge-Driven Multidimensional Indexing Structure for Biomedical Media Database Retrieval. IEEE Trans. Inf. Technol. Biomed. Grant J. Scott, Chi-Ren Shyu
2006	C	`conf`	A Framework for Geospatial Satellite Imagery Retrieval Systems. IGARSS Matthew Klaric, Grant J. Scott, Chi-Ren Shyu, Curt H. Davis, Kannappan Palaniappan
2006	C	`conf`	Knowledge Discovery by Mining Association Rules and Temporal-Spatial Information from Large-Scale Geospatial Image Databases. IGARSS Chi-Ren Shyu, Matthew N. Klaric, Grant J. Scott, Wannapa Kay Mahamaneerat
2006	C	`conf`	Mining Visual Associations from User Feedback for Weighting Multiple Indexes in Geospatial Image Retrieval. IGARSS Matthew N. Klaric, Grant J. Scott, Chi-Ren Shyu
2005	J	`jnl`	A Fast Protein Structure Retrieval System Using Image-Based Distance Matrices and Multidimensional Index. Int. J. Softw. Eng. Knowl. Eng. Pin-Hao Chi, Grant J. Scott, Chi-Ren Shyu
2005	C	`conf`	Automated object extraction through simplification of the differential morphological profile for high-resolution satellite imagery. IGARSS Matthew N. Klaric, Grant J. Scott, Chi-Ren Shyu, Curt H. Davis
2005	—	`conf`	Modeling Multi-object Spatial Relationships for Satellite Image Database Indexing and Retrieval. CIVR Grant J. Scott, Matt Klaric, Chi-Ren Shyu
2004	C	`conf`	A Fast Protein Structure Retrieval System Using Image-Based Distance Matrices and Multidimensional Index. BIBE Pin-Hao Chi, Grant J. Scott, Chi-Ren Shyu
2004	J	`jnl`	ProteinDBS: a real-time retrieval system for protein structure comparison. Nucleic Acids Res. Chi-Ren Shyu, Pin-Hao Chi, Grant J. Scott, Dong Xu
2003	—	`conf`	EBS k-d Tree: An Entropy Balanced Statistical k-d Tree for Image Databases with Ground-Truth Labels. CIVR Grant J. Scott, Chi-Ren Shyu
2003	B	`conf`	Face recognition for homeland security: a computational intelligence approach. FUZZ-IEEE Grant J. Scott, James M. Keller, Marjorie Skubic, Robert H. Luke III