Publications

*Mentored Students Underlined

Journal Publications

  1. Keli Cheng, Ilinca Popescu, Lincoln Sheets, Grant J. Scott, “Analysis of Deep Learning Techniques for Maasai Boma Mapping in Tanzania,” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022. DOI 10.1109/JSTARS.2022.3167373

  1. Rasha S. Gargees and Grant J. Scott, "Large-Scale, Multiple Level-of-Detail Change Detection from Remote Sensing Imagery using Deep Visual Feature Clustering," in Remote Sensing, Vol. 13(9), pp. 1661, 2021. DOI 10.3390/rs13091661

  1. Muhammad A. Islam, B. Murray, A. Buck, D.T. Anderson, Grant J. Scott, M. Popescu, J. Keller, “Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks,” in IEEE Transactions on Neural Networks and Learning Systems, early access, 2020. DOI 10.1109/TNNLS.2020.3025723

  1. Alan B. Cannaday II, Curt H. Davis, Grant J. Scott, Blake Ruprecht, and 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,” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 13, pp. 4728-4737, 2020. DOI 10.1109/JSTARS.2020.3015662

  1. Bryce J. Murray, M. A. Islam, A. J. Pinar, D. T. Anderson, Grant J. Scott, T. C. Havens and J. M. Keller, “Explainable AI for the Choquet Integral,” in IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 5, No. 4, pp. 520-529, 2020. DOI 10.1109/TETCI.2020.3005682

  1. Rasha Gargees and Grant J. Scott, “Deep Feature Clustering for Remote Sensing Imagery Land Cover Analysis,” in IEEE Geoscience and Remote Sensing Letters, Vol. 17, No. 8, pp. 1386-1390, 2019. DOI 10.1109/LGRS.2019.2948799

  1. M.A. Islam, D.T. Anderson, A Pinar, T.C. Havens, Grant J. Scott, J.M Keller, “Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks,” in IEEE Transactions on Fuzzy Systems, Vol. 28, No.7, pp. 1291-1300, 2019. DOI 10.1109/TFUZZ.2019.2917124


  1. Rasha Gargees and Grant J. Scott, “Dynamically-Scalable Distributed Virtual Framework Based on Agents and Pub/Sub Pattern for IoT Media Data,” in IEEE Internet of Things Journal, Vol. 6, No. 1, pp. 599-613, 2018. DOI 10.1109/JIOT.2018.2849406


  1. Grant J. Scott, K.C. Hagan, J. A. Hurt, R. A. Marcum, D.T. Anderson, C.H. Davis, “Enhanced Fusion of Deep Neural Networks for High-Resolution Benchmark Imagery Classification” in IEEE Geoscience and Remote Sensing Letters, Vol. 15, No. 9, pp. 1451-1455, 2018. DOI 10.1109/LGRS.2018.2839092


  1. Marcum, R.A.; Davis, C.H.; Nivin, T.W.; Grant J. Scott, “Rapid Broad Area Search and Detection of Surface to Air Missile Sites using Deep Convolutional Neural Networks,” in Journal of Applied Remote Sensing, Vol. 11, No. 4, ONLINE 2017. DOI 10.1117/1.JRS.11.042614


  1. Grant J. Scott, Marcum, R. A.; Nivin, T.W.; Davis, C.H., “Fusion of Deep Convolutional Neural Networks for Land Cover Classification of High-Resolution Imagery” in IEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 9, pp. 1638-1642, 2017. DOI 10.1109/LGRS.2017.2722988


  1. Grant J. Scott, England, M. R.; Starms, W. A.; Marcum, R. A.; Davis, C.H., “Training Deep Convolutional Neural Networks for Land Cover Classification of High-Resolution Imagery," in IEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 4, pp. 549-553, April 2017. DOI 10.1109/LGRS.2017.2657778


  1. Klaric, M.N.; Claywell, B.C.; Grant J. Scott; Hudson, N.J.; Sjahputera, O.; Yonghong Li; Barratt, S.T.; Keller, J.M.; Davis, C.H., "GeoCDX: An Automated Change Detection and Exploitation System for High-Resolution Satellite Imagery," in IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, No. 4, pp. 2067-2086, 2013. DOI 10.1109/TGRS.2013.2243840


  1. Matt Klaric, Grant J. Scott, Chi-Ren Shyu, “Multi-Index Multi-Object Content-Based Retrieval,” in IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No.10, pp. 4036-4049, 2012. DOI 10.1109/TGRS.2012.2187353


  1. Sjahputera, O.; Grant J. Scott; Claywell, B.C.; Klaric, M.N.; Hudson, N.J.; Keller, J.M.; Davis, C.H.,Clustering of Detected Changes in High-Resolution Satellite Imagery Using a Stabilized Competitive Agglomeration Algorithm,” in IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, No. 12, pp. 4687-4703, 2011. DOI 10.1109/TGRS.2011.2152847


  1. Grant J. Scott, Matt Klaric, Chi-Ren Shyu, Curt Davis, “Entropy Balanced Bitmap Tree for Shape-Based Object Retrieval from Large-Scale Satellite Imagery Databases,” in IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, No. 5, pp. 1603-1616, 2011. DOI 10.1109/TGRS.2010.2088404


  1. Chi-Ren Shyu, Matt Klaric, Grant J. Scott, Adrian Barb, Curt Davis, and Kannappian Palaniappan, "GeoIRIS: Geospatial Information Retrieval and Indexing System - Content Mining, Semantics Modeling, and Complex Queries," in IEEE Transactions on Geoscience and Remote Sensing, Special Issue on Image Mining, Vol. 45, No.4, pp. 839-852, 2007. DOI 10.1109/TGRS.2006.890579


  1. Grant J. Scott and Chi-Ren Shyu, "Knowledge Driven Multidimensional Indexing Structure for Biomedical Media Database Retrieval," in IEEE Transactions on Information Technology in Biomedicine, Vol. 11, No. 3, pp. 320-331, 2007. DOI 10.1109/TITB.2006.880551


  1. Pin-Hao Chi, Grant J. Scott, Chi-Ren Shyu, "A Fast Protein Structure Retrieval System Using Image-Based Distance Matrices and Multidimensional Index," in International Journal of Software Engineering and Knowledge Engineering, Special Issue on Software and Knowledge Engineering Support in Bioinformatics, Vol. 15, No. 4, pp. 527-545, 2005. DOI 10.1142/S0218194005002439


  1. Chi-Ren Shyu, Pin-Hao Chi, Grant J. Scott, and Dong Xu, "ProteinDBS - A content-based retrieval system for protein structure database," in Nucleic Acids Research, Vol. 32, pp. W572-W575, 2004. DOI 10.1093/nar/gkh436

Book Chapters

  1. Derek Anderson, Grant J. Scott, Muhammad Aminul Islam, Bryce Murray, and Richard Marcum, “Fuzzy Choquet Integration of Deep Convolutional Neural Networks for Remote Sensing,” in Computational Intelligence for Pattern Recognition, pp. 1–28, Springer, Cham. 2018. DOI 10.1007/978-3-319-89629-8_1

Peer-Reviewed Conference Papers


  1. J Alex Hurt, James Keller, Grant J. Scott, "Evolutionary Learning of Differential Morphological Profile Structure for Shape Feature Enabled Faster R-CNN," in Proceedings of International Joint Conference on Neural Networks (IJCNN), Padua, Italy, July 2022.


  1. 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,” in Proceedings IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, July 2022.

  1. David Huangal, Grant J. Scott, and Stanton R. Price, “Evaluation of Road Segmentation Techniques on Visible and Infrared Low-Altitude UAS Imagery,” in Proceedings IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, July 2022.

  1. 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,” in Proceedings of 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Glasgow, UK, July 2022.

  1. Andrew R Buck, Derek T Anderson, James M Keller, Robert H Luke, Grant J. Scott, "A Comparison of Relative Position Descriptors for 3D Objects," in Proceedings of International International Conference on Fuzzy Systems (FUZZ-IEEE), Padua, Italy, July 2022.


  1. Keli Cheng, Trevor M Bajkowski, Grant J. Scott, "Evaluation of Sentinel-2 Data for Automatic Maasai Boma Mapping," in Proceedings of IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, USA, October 2021.


  1. 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," in Proceedings of IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, USA, October 2021.


  1. Pallavi Gupta, Omar Ibrahim, Marjorie Skubic, Grant J. Scott, “Leveraging Unsupervised Machine Learning to Discover Patterns in Linguistic Health Summaries for Eldercare,” in Proceedings of 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico, November, 2021. DOI 10.1109/EMBC46164.2021.9630573

  1. J. Alex Hurt, Trevor Bajkowski, Grant J. Scott, “Improved Classification of High Resolution Remote Sensing Imagery with Differential Morphological Profile Neural Network,” in Proceedings IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, July 2021. DOI 10.1109/IGARSS47720.2021.9553057

  1. Keli Cheng, Ilinca M. Popescu, Lincoln Sheets, Grant J. Scott, “Automatic Maasailand Boma Mapping with Deep Neural Networks,” in Proceedings IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, July 2021. DOI 10.1109/IGARSS47720.2021.9553386

  1. Andrew R Buck, Derek T Anderson, James M Keller, Robert H Luke, Grant J. Scott, “A fuzzy spatial relationship graph for point clouds using bounding boxes,” in Proc. of 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July 2021. DOI 10.1109/FUZZ45933.2021.9494462

  1. B. Alvey, D. T. Anderson, A. Buck, M. Deardorff, Grant J. Scott and J. M. Keller, "Simulated Photorealistic Deep Learning Framework and Workflows to Accelerate Computer Vision and Unmanned Aerial Vehicle Research," in Proc. of 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021, pp. 3882-3891, DOI 10.1109/ICCVW54120.2021.00435

  1. Andrew Buck, Derek Anderson, James Keller, Robert Luke and Grant J. Scott, “A Fuzzy Spatial Relationship Graph for Point Clouds Using Bounding Boxes” in Proceedings IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2021, July 2021. DOI 10.1109/FUZZ45933.2021.9494462

  1. 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," in Proceedings IEEE International Conference on Big Data, ONLINE Dec. 2020.

  1. Trevor M. Bajkowski, J. Alex Hurt, Grant J. Scott, Curt Davis, "Extending Deep Convolutional Neural Networks from 3-Color to Full Multispectral Remote Sensing Imagery," in Proceedings IEEE International Conference on Big Data, ONLINE Dec. 2020.

  1. 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,” in Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, ONLINE Nov. 2020. DOI 10.1145/3423336.3429349

  1. Trevor M. Bajkowski, David Huangal, J. Alex Hurt, Jeffery Dale, James M. Keller, Grant J. Scott and Stanton R. Price, "Spatiotemporal Maneuverability Hazard Analytics from Low-Altitude UAS Sensors," in Proceedings of IEEE Applied Imagery Pattern Recognition Workshop (AIPR), ONLINE Oct. 2020.

  1. Jeffrey J. Dale, David Huangal, J. Alex Hurt, Trevor M. Bajkowski, James M. Keller, Grant J. Scott, and Stanton R. Price, "Detection of unknown maneuverability hazards in low-altitude UAS color imagery using linear features," in Proceedings of IEEE Applied Imagery Pattern Recognition Workshop (AIPR), ONLINE Oct. 2020.

  1. Grant J. Scott, Alex Hurt, Alex Yang, Muhammad Aminul Islam, Derek T. Anderson and Curt H. Davis, “Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery,” in Proc. of IEEE World Congress on Computational Intelligence, July 2020. DOI 10.1109/IJCNN48605.2020.9207387

  1. Blake Ruprecht, Wenlong Wu, Muhammad Aminul Islam, Derek Anderson, James Keller, Grant J. Scott, Curt Davis, Fred Petry, Paul Elmore, Kristen Nock, and Elizabeth Gilmour, “Possibilistic Clustering Enabled Neuro Fuzzy Logic,” in Proc. of IEEE World Congress on Computational Intelligence, July 2020. DOI 10.1109/FUZZ48607.2020.9177593

  1. Rasha Gargees and Grant J. Scott, “Multi-Stage Distributed Computing for Big Data: Evaluating Connective Topologies,” in Proc. of IEEE Computing and Communication Workshop and Conference, Jan. 2020. DOI 10.1109/CCWC47524.2020.9031227

  1. J. Alex Hurt, David Huangal, Curt H. Davis and Grant J. Scott, “A Comparison of Deep Learning Vehicle Group Detection in Satellite Imagery,” in Proc. of IEEE International Conference on Big Data, Dec. 2019. DOI 10.1109/BigData47090.2019.9006415

  1. Alex Yang, J. Alex Hurt, Charlie T. Veal, Grant J. Scott, “Remote Sensing Object Localization with Deep Heterogeneous Superpixel Features,” in Proc. of IEEE International Conference on Big Data, Dec. 2019. DOI 10.1109/BigData47090.2019.9006120

  1. Alan B. Cannaday II, Raymond L. Chastain, J. Alex Hurt, Curt H. Davis, Grant J. Scott, A.J. Maltenfort, “Decision-Level Fusion of DNN Outputs for Improving Feature Detection Performance on Large-Scale Remote Sensing Image Datasets,” in Proc. of IEEE International Conference on Big Data, Dec. 2019. DOI 10.1109/BigData47090.2019.9006502

  1. Alex Yang, Grant J. Scott, “Efficient Passive Sensing Monocular Relative Depth Estimation,”

in Proc. of IEEE Applied Imagery and Pattern Recognition Workshop, Oct. 2019. DOI 10.1109/AIPR47015.2019.9174573

  1. J.A. Hurt, Grant J. Scott, C.H. Davis “Comparison of Deep Learning Model Performance between Meta-Dataset Training Versus Deep Neural Ensembles,” in Proc. of International Geoscience and Remote Sensing Symposium, July 2019. DOI 10.1109/IGARSS.2019.8898596

  1. A.B. Cannaday, C.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,” in Proc. of International Geoscience and Remote Sensing Symposium, July 2019. DOI 10.1109/IGARSS.2019.8898397

  1. B Murray, MA Islam, A Pinar, DT Anderson, Grant J. Scott, TC Havens, F Petry, P Elmore, “Transfer Learning for the Choquet Integral,” in Proc. of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), June 2019. DOI 10.1109/FUZZ-IEEE.2019.8858844

  1. C. Veal, Alex Yang, J. Alex Hurt, M.A. Islam, D.T. Anderson, Grant J. Scott, J.M. Keller, T. Havens, B. Tang, “Linear order statistic neuron,” in Proc. of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), June 2019. DOI 10.1109/FUZZ-IEEE.2019.8858802

Research Assistant Professor – Non-Tenure Track Activity

  1. J. Alex Hurt, Grant J. Scott, Derek Anderson, and Curt Davis, “Benchmark Meta-Dataset of High-Resolution Remote Sensing Imagery for Training Robust Deep Learning Models in Machine-Assisted Visual Analytics,” in Proc. of IEEE Applied Imagery and Pattern Recognition Workshop, Oct. 2018. DOI 10.1109/AIPR.2018.8707433

  1. Tyler Nivin, Grant J. Scott, James Hurt, Raymond Chastain, and Curt Davis, “Exploring the Effects of Class-Specific Augmentation and Class Coalescence on Deep Neural Network Performance Using a Novel Road Feature Dataset,” in Proc. of IEEE Applied Imagery and Pattern Recognition Workshop, Oct. 2018. DOI 10.1109/AIPR.2018.8707406

  1. Grant J. Scott, J. Alex Hurt, Richard A. Marcum, Derek T. Anderson, and Curt H. Davis “Aggregating Deep Convolutional Neural Network Scans of Broad-Area High-Resolution Remote Sensing Imagery,” in Proc. of International Geoscience and Remote Sensing Symposium, to appear July 2018. DOI 10.1109/IGARSS.2018.8519300

  1. Bryce Murray, M. 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,” in Proc. Of World Congress on Computational Intelligence, July 2018. DOI 10.1109/FUZZ-IEEE.2018.8491501

  1. Yinmiao Ma, Danlu Liu, Grant J. Scott, Jeffrey Uhlmann, Chi-Ren Shyu, “In-Memory Distributed Indexing for Large-Scale Media Data Retrieval,” in Proc. of IEEE International Symposium on Multimedia (ISM2017), Taichung, Taiwan, December 2017. DOI 10.1109/ISM.2017.38

  1. Grant J. Scott, Georgi Angelov, Michael Reinig, Eric Gaudiello, Matthew England, “cvTile: Multilevel parallel geospatial data processing with OpenCV and CUDA,” in Proc. of International Geoscience and Remote Sensing Symposium, Milan, Italy, July 2015. DOI 10.1109/IGARSS.2015.7325718

  1. Stanton Price, Derek Anderson, Matthew England and Grant J. Scott, “Soft segmentation weighted IECO descriptors for object recognition in satellite imagery,” in Proc. of International Geoscience and Remote Sensing Symposium, Milan, Italy, July 2015. DOI 10.1109/IGARSS.2015.7326940

  1. Matthew England and Grant J. Scott, “Large-Scale Pattern Recognition using GPU-accelerated Relational Database,” GPU Technology Conference (GTC), San Jose, CA, 2015.

  1. Grant J. Scott, Matthew England, Kevin Melkowski, Zachary Fields, and Derek Anderson, “GPU-based PostgreSQL Extensions for Scalable High-throughput Pattern Matching,” in Proc. of International Conference on Pattern Recognition, Stockholm, Sweden, August 2014, IAPR/IEEE. DOI 10.1109/ICPR.2014.329

  1. Grant J. Scott, Kirk Backus, and Derek Anderson, “A Multilevel Parallel and Scalable Single-host GPU Cluster Framework for Large-scale Geospatial Data Processing,” in Proc. of International Geoscience and Remote Sensing Symposium, Quebec City, Canada, July 2014. DOI 10.1109/IGARSS.2014.6946974

  1. Grant J. Scott, Derek Anderson, “Importance-weighted multi-scale texture and shape descriptor for object recognition in satellite imagery,” in Proc. of International Geoscience and Remote Sensing Symposium, Munich, Germany, July 2012. DOI 10.1109/IGARSS.2012.6351632

  1. Grant J. Scott, Derek Anderson, “Fusion of differential morphological profiles for multi-scale weighted feature pyramid generation in remotely sensed imagery,” in Applied Imagery and Pattern Recognition Workshop (AIPR), Washington DC, USA, October 2011. DOI 10.1109/AIPR.2011.6176348

  1. O. Sjahputera, Grant J. Scott, M.K. Klaric, B.C. Claywell, N.J. Hudson, J.M. Keller, C.H. Davis, “Clustering of detected changes in satellite imagery using fuzzy c-means algorithm,” in Proc. of International Geoscience and Remote Sensing Symposium, Honolulu, HI, July 2010. DOI 10.1109/IGARSS.2010.5652575

  1. Matt Klaric, Grant J. Scott, Chi-Ren Shyu, “Progressive spatial clustering of content-based satellite imagery retrieval results,” in Proc. of International Geoscience and Remote Sensing Symposium, Honolulu, HI, July 2010. DOI 10.1109/IGARSS.2010.5651582

  1. Chi-Ren Shyu, Matt Klaric, Grant J. Scott, and Wannapa Kay Mahamaneerat, "Knowledge Discovery by Mining Association Rules and Temporal-Spatial Information from Large-Scale Geospatial Image Databases," in Proc. of International Geoscience and Remote Sensing Symposium, Denver, CO, July/August 2006. 10.1109/IGARSS.2006.9

  1. Matt Klaric, Grant J. Scott, Chi-Ren Shyu, Curt Davis, and Kannappan Palaniappan, "A Framework for Geospatial Satellite Imagery Retrieval Systems," in Proc. of International Geoscience and Remote Sensing Symposium, Denver, CO, July/August 2006. DOI 10.1109/IGARSS.2006.636

  1. Matt Klaric, Grant J. Scott, and Chi-Ren Shyu, "Mining Visual Associations from User Feedback for Weighting Multiple Indexes in Geospatial Image Retrieval," in Proc. of International Geoscience and Remote Sensing Symposium, Denver, CO, July/August 2006. DOI 10.1109/IGARSS.2006.10

  1. Grant J. Scott, Matt Klaric and Chi-Ren Shyu, "Modeling Multi-Object Spatial Relationships for Satellite Image Database Indexing and Retrieval," Lecture Notes in Computer Science (LNCS), Vol. 3568, pp 247--256, 2005, International Conference on Image and Video Retrieval, (CIVR 2005). DOI 10.1007/11526346_28

  1. Matt Klaric, Grant J. Scott, Chi-Ren Shyu and Curt Davis, "Automated Object Extraction through Simplification of the Differential Morphological Profile for High-Resolution Satellite Imagery," in Proceedings of International Geoscience and Remote Sensing Symposium, (IGARSS 2005), Seoul, Korea, July 2005. DOI 10.1109/IGARSS.2005.1525349

  1. Chi-Ren Shyu, Grant J. Scott, Matt Klaric, Curt Davis, Kannappan Palaniappan, "Automatic Object Extraction from Full Differential Morphological Profile in Urban Imagery For Efficient Object Indexing and Retrievals," in Proceedings of 3rd International Symposium Remote Sensing and Data Fusion Over Urban Areas (URBAN 2005), Tempe, AZ, USA, March 2005. https://www.isprs.org/proceedings/XXXVI/8-W27/shyu.pdf

  1. Pin-Hao Chi, Grant J. Scott, Chi-Ren Shyu, "A Fast Protein Structure Retrieval System Using Image-Based Distance Matrices and Multidimensional Index," in Proc. of the IEEE Fourth Symposium on BioInformatics and BioEngineering, (BIBE 2004). Taichung, Taiwan, July 2004. DOI 10.1109/BIBE.2004.1317387

  1. Grant J. Scott, Chi-Ren Shyu, "EBS k-d Tree: An Entropy Balanced Statistical k-d Tree for Image Databases with Ground-Truth Labels," in Proc. of the International Conference of Image and Video Retrieval, (CIVR 2003). DOI 10.1007/3-540-45113-7_46

  1. Grant J. Scott, James M. Keller, Marjorie Skubic, and Robert H. Luke III, “Face Recognition for Homeland Security: A Computational Intelligence Approach,” in Proc. of the IEEE 2003 International Conference on Fuzzy Systems, (FUZZ-IEEE 2003). St. Louis, MO, USA, June 2003. DOI 10.1109/FUZZ.2003.1206613


Other Conference Papers and Publications

  1. Blake Ruprecht, Derek T Anderson, Fred Petry, James Keller, Christopher Michael, Andrew Buck, Grant Scott, Curt Davis, “Concept learning based on human interaction and explainable AI, in Proc. SPIE Pattern Recognition and Tracking XXXII, ONLINE APRIL 2021,

  1. J Alex Hurt, Grant J Scott, David Huangal, Jeffrey Dale, Trevor M Bajkowski, James M Keller, Stanton R Price, “Differential morphological profile neural network for maneuverability hazard detection in unmanned aerial system imagery,” in Proc. SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, ONLINE APRIL 2021, DOI 10.1117/12.2585843

  1. Blake Ruprecht, Derek T Anderson, Fred Petry, James Keller, Christopher Michael, Andrew Buck, Grant Scott, Curt Davis, “Concept learning based on human interaction and explainable AI, in Proc. SPIE Pattern Recognition and Tracking XXXII, ONLINE APRIL 2021, DOI 10.1117/12.2587950

  1. Brendan Alvey, Derek T Anderson, James M Keller, Andrew Buck, Grant J. Scott, Dominic Ho, Clare Yang, Brad Libbey, “Improving explosive hazard detection with simulated and augmented data for an unmanned aerial system,” in Proc. SPIE Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXVI, ONLINE APRIL 2021, DOI 10.1117/12.2586342

  1. Andrew Buck, Matthew Deardorff, Derek T Anderson, Timothy Wilkin, James M Keller, Grant J. Scott, Robert H Luke III, Raub Camaioni, “VADER: a hardware and simulation platform for visually aware drone autonomy research,” in Proc. SPIE Unmanned Systems Technology XXIII, ONLINE APRIL 2021, DOI 10.1117/12.2586360

  1. Matthew Deardorff, Brendan Alvey, Derek T Anderson, James M Keller, Grant J. Scott, Dominic Ho, Andrew Buck, Clare Yang, Brad Libbey, “Metadata enabled contextual sensor fusion for unmanned aerial system-based explosive hazard detection,” in Proc. SPIE Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXVI, ONLINE April 2021, DOI 10.1117/12.2586340

  1. Jeffrey Dale, Trevor Bajkowski, J Alex Hurt, David Huangal, Nelson Earle, James Keller, Grant J. Scott, Stanton Price, “Towards an explainable AI adjunct to deep network obstacle detection for multisensor vehicle maneuverability assessment,” in Proc. SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, ONLINE APRIL 2021, DOI 10.1117/12.2585906

  1. Trevor Bajkowski, J Alex Hurt, David Huangal, Jeffrey Dale, James Keller, Grant J. Scott, Stanton Price, “Accumulating confidence for deep neural network object detections and semantic segmentations in sequential UAS imagery through spatiotemporal feature correspondences generated from SfM techniques,” in Proc. SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, ONLINE April 2021 DOI 10.1117/12.2585905

  1. Jeffrey Schulz, Andrew Buck, Derek Anderson, James Keller, Grant J. Scott, Robert H Luke III, “Human-in-the-loop extension to stream classification for labeling of low altitude drone imagery,” in Proc. SPIE Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure 2021, DOI 10.1117/12.2585851

  1. David Huangal, Jeffrey Dale, J Alex Hurt, Trevor M Bajkowski, James M Keller, Grant J. Scott, Stanton R Price, “Evaluating deep road segmentation techniques for low-altitude UAS imagery,” in Proc. of SPIE - Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II, ONLINE, April 2020. DOI 10.1117/12.2557610

  1. J Alex Hurt, David Huangal, Jeffrey Dale, Trevor M Bajkowski, James M Keller, Grant J. Scott, Stanton R Price, “Maneuverability hazard detection and localization in low-altitude UAS imagery,” in Proc. of SPIE - Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II, ONLINE April 2020. DOI 10.1117/12.2557609

  1. Jeffrey Schulz, Charlie Veal, Andrew Buck, Derek Anderson, James Keller, Mihail Popescu, Grant J. Scott, Dominic KC Ho, Timothy Wilkin, “Extending deep learning to new classes without retraining,” in Proc. Of SPIE - Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, ONLINE April 2020. DOI 10.1117/12.2558134

  1. Charlie Veal, Jeffrey Schulz, Andrew Buck, Derek Anderson, James Keller, Mihail Popescu, Grant J. Scott, Dominic Ho, Timothy Wilkin, “Doing more with less: similarity neural nets and metrics for small class imbalanced data sets,” in Proc. Of SPIE - Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, ONLINE April 2020. DOI 10.1117/12.2558092

  1. Blake Ruprecht, Charlie Veal, Al Cannaday, Derek T Anderson, Fred Petry, James Keller, Grant J. Scott, Curt Davis, Charles Norsworthy, Kristen Nock, Elizabeth Gilmour, “Neuro-fuzzy logic for parts-based reasoning about complex scenes in remotely sensed data,” in Proc. Of SPIE - Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX, ONLINE April 2020. DOI 10.1117/12.2558094

  1. Charlie Veal, Josh Dowdy, Blake Brockner, Derek T. Anderson, John E. Ball, Grant J. Scott, “Generative adversarial networks for ground penetrating radar in hand held explosive hazard detection,” in Proc. Of SPI - Detection and sensing of mines, explosive objects, and obscured targets XXIII, Orlando, FL, USA, 2018. DOI 10.1117/12.2307261


Open Source Libraries, Publicly Available Data Sets, and related online publications


  1. Alex Yang, Sam Kreter, Grant Scott, “Indoor Stereo Vision and Depth,” Data Set

https://ieee-dataport.org/open-access/indoor-stereo-vision-and-depth

DOI 10.21227/q3fm-ty16

  1. Georgi Angelov, Mathhew England, Grant Scott, “cvTile,” Source Library

https://github.com/scottgs/cvtile

  1. Grant Scott, Alex Yang, and Bryce Murray, “Fuzzy Fusion of Decisions from Heterogeneous Deep Machine Learning Models,” Tutorial and Source Library

https://github.com/scottgs/FuzzyFusion_DeepLearning_Tutorial

  1. Grant Scott, “Python 3 binding for Fast Library for Approximate Nearest Neighbors,” Source Library https://github.com/scottgs/pyflann