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2020 – today
- 2024
[j23]Mariam Alshehri
, Anes Ouadou, Grant J. Scott:
Deep Transformer-Based Network Deforestation Detection in the Brazilian Amazon Using Sentinel-2 Imagery. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [c62]Feride Tanrikulu, Timothy L. Haithcoat, Grant J. Scott, Matthew Foulkes, Ilker Ersoy:
Land Valuation Using an Innovative Model Combining Machine Learning and Spatial Context. IGARSS 2024: 4688-4692 - [c61]Trevor M. Bajkowski, Curt H. Davis, Grant J. Scott:
DNN Object Detection in High-Resolution Multispectral Satellite Imagery with Varied Bit-Depth and Spectral Bands. IGARSS 2024: 8153-8157 - 2023
- [j22]Pallavi Gupta, Jamal Saied-Walker, Laurel Despins, David Heise, James Keller, Marjorie Skubic, Ruhan Yi, Grant J. Scott:
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 147: 104530 (2023) - [j21]Keli Cheng, Grant J. Scott:
Deep Seasonal Network for Remote Sensing Imagery Classification of Multi-Temporal Sentinel-2 Data. Remote. Sens. 15(19): 4705 (2023) - [j20]J. Alex Hurt, Ilinca M. Popescu, Curt H. Davis, Grant J. Scott:
Anthropogenic Object Localization: Evaluation of Broad-Area High-Resolution Imagery Scans Using Deep Learning in Overhead Imagery. Sensors 23(18): 7766 (2023) - [c60]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 - [c59]J. Alex Hurt, Trevor M. Bajkowski, Curt H. Davis, Grant J. Scott:
Overhead Object Detection with Channel Attention for High-Resolution Multi-Spectral Satellite Imagery and DMP-extracted Shape Features. AIPR 2023: 1-8 - [c58]Jamal Saied-Walker, Pallavi Gupta, Ruhan Yi, Noah Marchal, Marjorie Skubic, Grant J. Scott:
GPU-accelerated PostgreSQL for Scalable Management and Processing of Irregular Time-Series Data using SPI. IEEE Big Data 2023: 2541-2549 - [c57]Trevor M. Bajkowski, Noah Marchal, Jamal Saied-Walker, Pallavi Gupta, James M. Keller, Marjorie Skubic, Grant J. Scott:
Cohort Discovery from Bed Sensor Data with Fuzzy Evidence Accumulation Clustering. FUZZ 2023: 1-8 - [c56]Jeffrey Schulz, Derek T. Anderson, James M. Keller, Grant J. Scott, Robert H. Luke III:
Human-in-the-Loop (HITL) Augmented Growing Neural Gas for Labeling Aerial Image Datasets. FUZZ 2023: 1-8 - [c55]Keli Cheng, Grant J. Scott:
Evaluation of a Meta-Transfer Approach for Few-Shot Remote Sensing Scene Classification. IGARSS 2023: 5002-5005 - [c54]Anes Ouadou, David Huangal, J. Alex Hurt, Grant J. Scott:
Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Images Using Deep Learning Models. IGARSS 2023: 6366-6369 - [c53]J. Alex Hurt, Curt H. Davis, Grant J. Scott:
Hybrid Differential Morphological Profile Enabled Faster R-Cnn For Object Detection In High-Resolution Remote Sensing Imagery. IGARSS 2023: 6446-6449 - [c52]Butros M. Dahu, Solaiman Khan, Lincoln R. Sheets, Grant J. Scott:
Exploring the Geospatial Relationship Between COVID-19 Positivity and Income in Mixed Urban-Rural Population. MedInfo 2023: 1327-1331 - 2022
- [j19]Keli Cheng, Ilinca M. Popescu, Lincoln Sheets, Grant J. Scott:
Analysis of Deep Learning Techniques for Maasai Boma Mapping in Tanzania. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 3916-3924 (2022) - [c51]Pallavi Gupta, Laurel Despins, David Heise, Jamal Saied-Walker, Ruhan Yi, Marjorie Skubic, Grant J. Scott:
A Computational Respiration Factor to Detect Abnormal Respiratory Patterns Using a Hydraulic Bed Sensor for Older Adults Aging-in-place. AMIA 2022 - [c50]Jamal Saied-Walker, Pallavi Gupta, Ruhan Yi, Noah Marchal, Marjorie Skubic, Grant J. Scott:
Enabling Scalable Analytics of Physiological Sensor and Derived Feature Multi-Modal Time-Series with Big Data Management. IEEE Big Data 2022: 3124-3130 - [c49]Grant J. Scott, Jamal Saied-Walker, Noah Marchal, Hang Yu, Marjorie Skubic:
HTIDB: Hierarchical Time-Indexed Database for Efficient Storage and Access to Irregular Time-series Health Sensor Data. EMBC 2022: 2972-2975 - [c48]Andrew R. Buck, Derek T. Anderson, James M. Keller, Robert H. Luke III, Grant J. Scott:
A Comparison of Relative Position Descriptors for 3D Objects. FUZZ-IEEE 2022: 1-10 - [c47]Trevor M. Bajkowski, J. Alex Hurt, Curt H. Davis, Grant J. Scott:
Classification of an 8-Band Multi-Spectral Dataset Using DCNNs with Weight Initializations Derived from Pre-Trained RGB Networks. IGARSS 2022: 187-190 - [c46]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 - [c45]J. Alex Hurt, James Keller, Grant J. Scott:
Evolutionary Learning of Differential Morphological Profile Structure for Shape Feature Enabled Faster R-CNN. IJCNN 2022: 1-9 - 2021
- [j18]Rasha Gargees, Grant J. Scott:
Large-Scale, Multiple Level-of-Detail Change Detection from Remote Sensing Imagery Using Deep Visual Feature Clustering. Remote. Sens. 13(9): 1661 (2021) - [j17]Bryce J. Murray, Muhammad Aminul Islam, Anthony J. Pinar, Derek T. Anderson, Grant J. Scott, Timothy C. Havens, James M. Keller:
Explainable AI for the Choquet Integral. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 520-529 (2021) - [j16]Muhammad Aminul Islam, Bryce Murray, Andrew R. Buck, Derek T. Anderson, Grant J. Scott, Mihail Popescu, James Keller:
Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4826-4838 (2021) - [c44]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 - [c43]Keli Cheng, Trevor M. Bajkowski, Grant J. Scott:
Evaluation of Sentinel-2 Data for Automatic Maasai Boma Mapping. AIPR 2021: 1-5 - [c42]Pallavi Gupta, Omar Ibrahim, Marjorie Skubic, Grant J. Scott:
Leveraging Unsupervised Machine Learning to Discover Patterns in Linguistic Health Summaries for Eldercare. EMBC 2021: 2180-2185 - [c41]Andrew R. Buck, Derek T. Anderson, James M. Keller, Robert H. Luke III, Grant J. Scott:
A Fuzzy Spatial Relationship Graph for Point Clouds Using Bounding Boxes. FUZZ-IEEE 2021: 1-8 - [c40]Brendan Alvey, Derek T. Anderson, Andrew R. Buck, Matthew Deardorff, Grant J. Scott, James M. Keller:
Simulated Photorealistic Deep Learning Framework and Workflows to Accelerate Computer Vision and Unmanned Aerial Vehicle Research. ICCVW 2021: 3882-3891 - [c39]J. Alex Hurt, Trevor M. Bajkowski, Grant J. Scott:
Improved Classification of High Resolution Remote Sensing Imagery with Differential Morphological Profile Neural Network. IGARSS 2021: 2823-2826 - [c38]Keli Cheng, Ilinca M. Popescu, Lincoln Sheets, Grant J. Scott:
Automatic Maasailand Boma Mapping with Deep Neural Networks. IGARSS 2021: 2839-2842 - 2020
- [j15]Rasha Gargees, Grant J. Scott:
Deep Feature Clustering for Remote Sensing Imagery Land Cover Analysis. IEEE Geosci. Remote. Sens. Lett. 17(8): 1386-1390 (2020) - [j14]Alan B. Cannaday II, Curt H. Davis, Grant J. Scott, Blake Ruprecht, Derek T. Anderson:
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. 13: 4728-4737 (2020) - [j13]Muhammad Aminul Islam, Derek T. Anderson, Anthony J. Pinar, Timothy C. Havens, Grant J. Scott, James M. Keller:
Enabling Explainable Fusion in Deep Learning With Fuzzy Integral Neural Networks. IEEE Trans. Fuzzy Syst. 28(7): 1291-1300 (2020) - [c37]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 - [c36]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 - [c35]Trevor M. Bajkowski, Grant J. Scott, J. Alex Hurt, Curt H. Davis:
Extending Deep Convolutional Neural Networks from 3-Color to Full Multispectral Remote Sensing Imagery. IEEE BigData 2020: 3895-3903 - [c34]J. Alex Hurt, David Huangal, Curt H. Davis, Grant J. Scott:
Enabling Machine-Assisted Visual Analytics for High-Resolution Remote Sensing Imagery with Enhanced Benchmark Meta-Dataset Training of NAS Neural Networks. IEEE BigData 2020: 3914-3923 - [c33]Rasha Gargees, Grant J. Scott:
Multi-Stage Distributed Computing for Big Data: Evaluating Connective Topologies. CCWC 2020: 626-633 - [c32]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:
Possibilistic Clustering Enabled Neuro Fuzzy Logic. FUZZ-IEEE 2020: 1-8 - [c31]Yulin Cao, Butros M. Dahu, Grant J. Scott:
A geographic computational visual feature database for natural and anthropogenic phenomena analysis from multi-resolution remote sensing imagery. BigSpatial@SIGSPATIAL 2020: 7:1-7:10 - [c30]Grant J. Scott, J. Alex Hurt, Alex Yang, Muhammad Aminul Islam, Derek T. Anderson, Curt H. Davis:
Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery. IJCNN 2020: 1-7 - [i4]Alan B. Cannaday II, Curt H. Davis, Grant J. Scott, Blake Ruprecht, Derek T. Anderson:
Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks. CoRR abs/2003.10566 (2020)
2010 – 2019
- 2019
- [j12]Rasha Gargees, Grant J. Scott:
Dynamically Scalable Distributed Virtual Framework Based on Agents and Pub/Sub Pattern for IoT Media Data. IEEE Internet Things J. 6(1): 599-613 (2019) - [c29]Alex Yang, Grant J. Scott:
Efficient Passive Sensing Monocular Relative Depth Estimation. AIPR 2019: 1-9 - [c28]James Alex Hurt, David Huangal, Curt H. Davis, Grant J. Scott:
A Comparison of Deep Learning Vehicle Group Detection in Satellite Imagery. IEEE BigData 2019: 5419-5427 - [c27]Alan B. Cannaday II, Raymond L. Chastain, James Alex Hurt, Curt H. Davis, Grant J. Scott, Andrew J. Maltenfort:
Decision-Level Fusion of DNN Outputs for Improving Feature Detection Performance on Large-Scale Remote Sensing Image Datasets. IEEE BigData 2019: 5428-5436 - [c26]Alex Yang, James Alex Hurt, Charlie T. Veal, Grant J. Scott:
Remote Sensing Object Localization with Deep Heterogeneous Superpixel Features. IEEE BigData 2019: 5453-5461 - [c25]Bryce Murray, Muhammad Aminul Islam, Anthony Pinar, Derek T. Anderson, Grant J. Scott, Timothy C. Havens, Fred Petry, Paul Elmore:
Transfer Learning for the Choquet Integral. FUZZ-IEEE 2019: 1-6 - [c24]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:
Linear Order Statistic Neuron. FUZZ-IEEE 2019: 1-6 - [c23]James Alex Hurt, Grant J. Scott, Curt H. Davis:
Comparison of Deep Learning Model Performance between Meta-Dataset Training Versus Deep Neural Ensembles. IGARSS 2019: 1326-1329 - [c22]Alan B. Cannaday, Curt H. Davis, Grant J. Scott:
Improved Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks. IGARSS 2019: 9811-9814 - [i3]Muhammad Aminul Islam, Derek T. Anderson, Anthony J. Pinar, Timothy C. Havens, Grant J. Scott, James M. Keller:
Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks. CoRR abs/1905.04394 (2019) - [i2]Alex Yang, Charlie T. Veal, Derek T. Anderson, Grant J. Scott:
Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features. CoRR abs/1908.00669 (2019) - [i1]Muhammad Aminul Islam, Bryce Murray, Andrew R. Buck, Derek T. Anderson, Grant J. Scott, Mihail Popescu, James Keller:
Deep Morphological Hit-or-Miss Transform Neural Network. CoRR abs/1912.02259 (2019) - 2018
- [j11]Grant J. Scott, Kyle C. Hagan, Richard A. Marcum, James Alex Hurt, Derek T. Anderson, Curt H. Davis:
Enhanced Fusion of Deep Neural Networks for Classification of Benchmark High-Resolution Image Data Sets. IEEE Geosci. Remote. Sens. Lett. 15(9): 1451-1455 (2018) - [c21]James Alex Hurt, Grant J. Scott, Derek T. Anderson, Curt H. Davis:
Benchmark Meta-Dataset of High-Resolution Remote Sensing Imagery for Training Robust Deep Learning Models in Machine-Assisted Visual Analytics. AIPR 2018: 1-9 - [c20]Tyler W. Nivin, Grant J. Scott, James Alex Hurt, Raymond L. Chastain, Curt H. Davis:
Exploring the Effects of Class-Specific Augmentation and Class Coalescence on Deep Neural Network Performance Using a Novel Road Feature Dataset. AIPR 2018: 1-7 - [c19]Bryce Murray, Muhammad Aminul Islam, Anthony J. Pinar, Timothy C. Havens, Derek T. Anderson, Grant J. Scott:
Explainable AI for Understanding Decisions and Data-Driven Optimization of the Choquet Integral. FUZZ-IEEE 2018: 1-8 - [c18]Grant J. Scott, James Alex Hurt, Richard A. Marcum, Derek T. Anderson, Curt H. Davis:
Aggregating Deep Convolutional Neural Network Scans of Broad-Area High-Resolution Remote Sensing Imagery. IGARSS 2018: 665-668 - 2017
- [j10]Grant J. Scott, Matthew R. England, William A. Starms, Richard A. Marcum, Curt H. Davis:
Training Deep Convolutional Neural Networks for Land-Cover Classification of High-Resolution Imagery. IEEE Geosci. Remote. Sens. Lett. 14(4): 549-553 (2017) - [j9]Grant J. Scott, Richard A. Marcum, Curt H. Davis, Tyler W. Nivin:
Fusion of Deep Convolutional Neural Networks for Land Cover Classification of High-Resolution Imagery. IEEE Geosci. Remote. Sens. Lett. 14(9): 1638-1642 (2017) - [c17]Yinmiao Ma, Danlu Liu, Grant J. Scott, Jeffrey Uhlmann, Chi-Ren Shyu:
In-Memory Distributed Indexing for Large-Scale Media Data Retrieval. ISM 2017: 232-239 - 2015
- [c16]Grant J. Scott, Georgi A. Angelov, Michael L. Reinig, Eric C. Gaudiello, Matthew R. England:
cvTile: Multilevel parallel geospatial data processing with OpenCV and CUDA. IGARSS 2015: 139-142 - [c15]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
- [c14]Grant J. Scott, Matthew R. England, Kevin Melkowski, Zachary Fields, Derek T. Anderson:
GPU-Based PostgreSQL Extensions for Scalable High-Throughput Pattern Matching. ICPR 2014: 1880-1885 - [c13]Grant J. Scott, Kirk Backus, Derek T. Anderson:
A multilevel parallel and scalable single-host GPU cluster framework for large-scale geospatial data processing. IGARSS 2014: 2475-2478 - 2013
- [j8]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:
GeoCDX: An Automated Change Detection and Exploitation System for High-Resolution Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 51(4-1): 2067-2086 (2013) - 2012
- [j7]Matthew N. Klaric, Grant J. Scott, Chi-Ren Shyu:
Multi-Index Multi-Object Content-Based Retrieval. IEEE Trans. Geosci. Remote. Sens. 50(10): 4036-4049 (2012) - [c12]Grant J. Scott, Derek T. Anderson:
Importance-weighted multi-scale texture and shape descriptor for object recognition in satellite imagery. IGARSS 2012: 79-82 - 2011
- [j6]Grant J. Scott, Matthew N. Klaric, Curt H. Davis, Chi-Ren Shyu:
Entropy-Balanced Bitmap Tree for Shape-Based Object Retrieval From Large-Scale Satellite Imagery Databases. IEEE Trans. Geosci. Remote. Sens. 49(5): 1603-1616 (2011) - [j5]Ozy Sjahputera, Grant J. Scott, Brian C. Claywell, Matthew N. Klaric, Nicholas J. Hudson, James M. Keller, Curt H. Davis:
Clustering of Detected Changes in High-Resolution Satellite Imagery Using a Stabilized Competitive Agglomeration Algorithm. IEEE Trans. Geosci. Remote. Sens. 49(12): 4687-4703 (2011) - [c11]Grant J. Scott, Derek T. Anderson:
Fusion of differential morphological profiles for multi-scale weighted feature pyramid generation in remotely sensed imagery. AIPR 2011: 1-8 - 2010
- [c10]Matt Klaric, Grant J. Scott, Chi-Ren Shyu:
Progressive spatial clustering of content-based satellite imagery retrieval results. IGARSS 2010: 36-39 - [c9]Ozy Sjahputera, Grant J. Scott, Matthew N. Klaric, Brian C. Claywell, Nicholas J. Hudson, James M. Keller, Curt H. Davis:
Clustering of detected changes in satellite imagery using fuzzy c-means algorithm. IGARSS 2010: 468-471
2000 – 2009
- 2007
- [j4]Chi-Ren Shyu, Matthew N. Klaric, Grant J. Scott, Adrian S. Barb, Curt H. Davis, Kannappan Palaniappan:
GeoIRIS: Geospatial Information Retrieval and Indexing System - Content Mining, Semantics Modeling, and Complex Queries. IEEE Trans. Geosci. Remote. Sens. 45(4): 839-852 (2007) - [j3]Grant J. Scott, Chi-Ren Shyu:
Knowledge-Driven Multidimensional Indexing Structure for Biomedical Media Database Retrieval. IEEE Trans. Inf. Technol. Biomed. 11(3): 320-331 (2007) - 2006
- [c8]Chi-Ren Shyu, Matthew N. Klaric, Grant J. Scott, Wannapa Kay Mahamaneerat:
Knowledge Discovery by Mining Association Rules and Temporal-Spatial Information from Large-Scale Geospatial Image Databases. IGARSS 2006: 17-20 - [c7]Matthew N. Klaric, Grant J. Scott, Chi-Ren Shyu:
Mining Visual Associations from User Feedback for Weighting Multiple Indexes in Geospatial Image Retrieval. IGARSS 2006: 21-24 - [c6]Matthew Klaric, Grant J. Scott, Chi-Ren Shyu, Curt H. Davis, Kannappan Palaniappan:
A Framework for Geospatial Satellite Imagery Retrieval Systems. IGARSS 2006: 2457-2460 - 2005
- [j2]Pin-Hao Chi, Grant J. Scott, Chi-Ren Shyu:
A Fast Protein Structure Retrieval System Using Image-Based Distance Matrices and Multidimensional Index. Int. J. Softw. Eng. Knowl. Eng. 15(3): 527-546 (2005) - [c5]Grant J. Scott, Matt Klaric, Chi-Ren Shyu:
Modeling Multi-object Spatial Relationships for Satellite Image Database Indexing and Retrieval. CIVR 2005: 247-256 - [c4]Matthew N. Klaric, Grant J. Scott, Chi-Ren Shyu, Curt H. Davis:
Automated object extraction through simplification of the differential morphological profile for high-resolution satellite imagery. IGARSS 2005: 1265-1268 - 2004
- [j1]Chi-Ren Shyu, Pin-Hao Chi, Grant J. Scott, Dong Xu:
ProteinDBS: a real-time retrieval system for protein structure comparison. Nucleic Acids Res. 32(Web-Server-Issue): 572-575 (2004) - [c3]Pin-Hao Chi, Grant J. Scott, Chi-Ren Shyu:
A Fast Protein Structure Retrieval System Using Image-Based Distance Matrices and Multidimensional Index. BIBE 2004: 522-532 - 2003
- [c2]Grant J. Scott, Chi-Ren Shyu:
EBS k-d Tree: An Entropy Balanced Statistical k-d Tree for Image Databases with Ground-Truth Labels. CIVR 2003: 467-476 - [c1]Grant J. Scott, James M. Keller, Marjorie Skubic, Robert H. Luke III:
Face recognition for homeland security: a computational intelligence approach. FUZZ-IEEE 2003: 1268-1273
Coauthor Index
Derek Anderson
aka: Derek T. Anderson
aka: Derek T. Anderson
James Alex Hurt
aka: J. Alex Hurt
aka: J. Alex Hurt
James Keller 0001
aka: James M. Keller
aka: James M. Keller
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