All (60)
Paper (52)
Journal Paper (3)
Conference Paper (43)
Poster (7)
Code (8)
Demo (4)
Dataset (1)
Course Work (3)
Best Paper (2)
Best Student Paper (1)
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Author Includes: James M. Keller (43)
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2025-
HiFiAerial: A Photorealistic Synthetic Dataset with Ground Truth for Dense Prediction in Aerial Imagery
Jack Akers, Jeffrey Kerley, Derek T. Anderson, Andrew R. Buck, Daniel Buffum, James M. Keller
Proc. SPIE 13459, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications III, 2025
SPIE, Simulation, Drones, Dataset
Explainable LLM-Based Drone Autonomy Derived from Partially Observable Geospatial Data
Daniel Buffum, Jack Akers, Jeffrey Kerley, Derek T. Anderson, Andrew R. Buck, James M. Keller
Proc. SPIE 13461, Geospatial Informatics XV, 2025
SPIE, LLM, Simulation, Drones
2024-
Designing Reliable Navigation Behaviors for Autonomous Agents in Partially Observable Grid-world Environments
Andrew R. Buck, Derek T. Anderson, James M. Keller, Cindy Bethel, Audrey Aldridge
2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024.
WCCI, IJCNN, Pathfinding, Mental Map, MCDM
[DOI] [paper] [slides]
2023-
Frame Selection Strategies for Real-Time Structure-from-Motion from an Aerial Platform
Andrew R. Buck, Jack D. Akers, Derek T. Anderson, James M. Keller, Raub Camaioni, Matthew Deardorff, Robert H. Luke III
2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), St. Louis, MO, USA, 2023
AIPR, Depth Estimation, Simulation, Drones
[DOI] [paper] [slides]
Improving Real-Time Aerial 3D Reconstruction: Towards Fusion of a Hand-Crafted SfM Algorithm with a Data-Driven Deep Neural Network
Jack Akers, Andrew Buck, Derek Anderson, James Keller, Raub Camaioni, Matthew Deardorff, Robert Luke III
2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), St. Louis, MO, USA, 2023
AIPR, Depth Estimation, Simulation, Drones
[DOI] [paper]
Linguistic Explanations of Black Box Deep Learning Detectors on Simulated Aerial Drone Imagery
Brendan Alvey, Derek Anderson, James Keller, Andrew Buck
Sensors 2023, 23(15), 6879
Sensors, Linguistic Summarization, Simulation, Drones
[DOI]
Simulated Gold-Standard for Quantitative Evaluation of Monocular Vision Algorithms
Jack Akers, Andrew Buck, Raub Camaioni, Derek T. Anderson, Robert H. Luke III, James M. Keller, Matthew Deardorff, Brendan Alvey
Proc. SPIE 12525, Geospatial Informatics XIII, 2023
SPIE, Drones, Simulation, Voxels
[DOI] [paper] [video]
2022-
A Comparison of Relative Position Descriptors for 3D Objects
Andrew R. Buck, Derek T. Anderson, James M. Keller, Robert H. Luke III, Grant Scott
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Padua, Italy, 2022
WCCI, FUZZ-IEEE, Spatial Relations, Histogram of Forces, Demo
[DOI] [paper] [slides]
Unreal Engine-Based Photorealistic Aerial Data Generation and Unit Testing of Artificial Intelligence Algorithms
Andrew Buck, Raub Camaioni, Brendan Alvey, Derek T. Anderson, James M. Keller, Robert H. Luke III, Grant Scott
Proc. SPIE 12099, Geospatial Informatics XII, 2022
SPIE, Drones, Simulation, MCDM, Voxels
[DOI] [paper] [slides] [video]
Procedurally Generated Simulated Datasets for Aerial Explosive Hazard Detection
Jeffrey Kerley, Aaron Fuller, Madeline Kovaleski, Peter Popescu, Brendan Alvey, Derek T. Anderson, Andrew Buck, James M. Keller, Grant Scott, Clare Yang, Ken E. Yasuda, Hollie A. Ryan
Proc. SPIE 12116, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXIII, 2022
SPIE, EH Detection, Simulation
[DOI] [paper] [video]
Explosive Hazard Pre-Screener Based on Simulated Data with Perfect Annotation and Imprecisely Labeled Real Data
Madeline Kovaleski, Aaron Fuller, Jeffrey Kerley, Brendan Alvey, Peter Popescu, Derek T. Anderson, Andrew Buck, James M. Keller, Grant Scott, Clare Yang, Ken E. Yasuda, Hollie A. Ryan
Proc. SPIE 12116, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXIII, 2022
SPIE, EH Detection, Simulation
[DOI] [paper] [video]
2021-
Characterization of Deep Learning-Based Aerial Explosive Hazard Detection using Simulated Data
Brendan J. Alvey, Derek T. Anderson, Clare Yang, Andrew Buck, James M. Keller, Ken E. Yasuda, Hollie A. Ryan
2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021
SSCI, Drones, EH Detection, Simulation, Deep Learning
[DOI] [video]
Simulated Photorealistic Deep Learning Framework and Workflows to Accelerate Computer Vision and Unmanned Aerial Vehicle Research
Brendan Alvey, Derek T. Anderson, Andrew Buck, Matthew Deardorff, Grant Scott, Timothy Wilkin, James M. Keller
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021
ICCVW, Drones, Simulation, Deep Learning, Code
[DOI] [paper] [video] [code]
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 Scott
2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Luxembourg, 2021
FUZZ-IEEE, Spatial Relations, MCDM
[DOI] [paper] [slides] [video]
VADER: A Hardware and Simulation Platform for Visually Aware Drone Autonomy Research
Andrew Buck, Matthew Deardorff, Derek T. Anderson, Timothy Wilkin, James M. Keller, Grant Scott, Robert H. Luke III, Raub Camaioni
Proc. SPIE 11758, Unmanned Systems Technology XXIII, 2021
SPIE, Drones, Simulation, Voxels
[DOI] [paper] [slides] [video]
Metadata Enabled Contextual Sensor Fusion for Unmanned Aerial System-Based Explosive Hazard Detection
Matthew Deardorff, Brendan Alvey, Derek T. Anderson, James M. Keller, Grant Scott, Dominic Ho, Andrew Buck, Clare Yang, Brad Libbey
Proc. SPIE 11750, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXVI, 2021
SPIE, EH Detection, Drones, Fuzzy Integral
[DOI] [paper] [video]
Concept Learning Based on Human Interaction and Explainable AI
Blake Ruprecht, Derek T. Anderson, Fred Petry, James Keller, Christopher Michael, Andrew Buck, Grant Scott, Curt Davis
Proc. SPIE 11735, Pattern Recognition and Tracking XXXII, 2021
SPIE, Spatial Relations, Histogram of Forces
[DOI] [paper] [video]
Human-in-the-Loop Extension to Stream Classification for Labeling of Low Altitude Drone Imagery
Jeffrey Schulz, Andrew Buck, Derek T. Anderson, James M. Keller, Grant Scott, Robert H. Luke III
Proc. SPIE 11748, Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure, 2021
SPIE, Drones
[DOI] [paper] [video]
Improving Explosive Hazard Detection with Simulated and Augmented Data for an Unmanned Aerial System
Brendan Alvey, Derek T. Anderson, James M. Keller, Andrew Buck, Grant Scott, Dominic Ho, Clare Yang, Brad Libbey
Proc SPIE 11750, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXVI, 2021
SPIE, Drones, EH Detection, Simulation
[DOI] [paper] [video]
2020-
Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks
Muhammad Aminul Islam, Bryce Murray, Andrew R. Buck, Derek T. Anderson, Grant Scott, Mihail Popescu, James Keller
IEEE Transactions on Neural Networks and Learning Systems, Oct. 2020
IEEE-TNNLS, arXiv, Deep Learning, Morphology
[DOI] [arXiv]
A Weighted Matrix Visualization for Fuzzy Measures and Integrals
Andrew R. Buck, Derek T. Anderson, James M. Keller, Timothy Wilkin, Muhammad Aminul Islam
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, United Kingdom, 2020
WCCI, FUZZ-IEEE, Fuzzy Integral, Visualization, Code
[DOI] [paper] [slides] [video] [code]
Doing More With Less: Similarity Neural Nets and Metrics for Small Class Imbalanced Data Sets
Charlie Veal, Jeffrey Schulz, Andrew Buck, Derek Anderson, James Keller, Mihail Popescu, Grant Scott, Dominic Ho, Timothy Wilkin
Proc. SPIE 11418, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, 2020
SPIE, Deep Learning
[DOI]
Extending Deep Learning to New Classes without Retraining
Jeffrey Schulz, Charlie Veal, Andrew Buck, Derek Anderson, James Keller, Mihail Popescu, Grant Scott, Dominic K. C. Ho, Timothy Wilkin
Proc. SPIE 11418, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, 2020
SPIE, Deep Learning
[DOI] [paper] [video]
2019-
Evaluating Path Costs in Multi-Attributed Fuzzy Weighted Graphs
Andrew R. Buck, James M. Keller
2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), New Orleans, LA, 2019
FUZZ-IEEE, Pathfinding, MCDM
[DOI] [paper] [slides]
2018-
Visualizing Heterogeneous Temporal Data for Streaming Health Applications
Andrew Buck, Marjorie Skubic, James M. Keller, Mihail Popescu
2018 Center to Stream Health in Place (C2SHIP)
Poster, Visualization, Health Care
[poster]
Analyzing Three-Dimensional Radar Voxel Data Using the Discrete Fourier Transform for SAEH Detection
P. Plodpradista, D. K. C. Ho, J. M. Keller, M. Popescu, A. Buck
Proc. SPIE 10628, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII, 2018
SPIE, EH Detection, Voxels
[DOI] [paper]
2017-
Target Detection in High-Resolution 3D Radar Imagery
A. Buck, J. M. Keller, M. Popescu, D. Sheen, R. H. Luke
Proc. SPIE 10182, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII, 2017
SPIE, EH Detection, Voxels, Code
[DOI] [paper] [slides]
2016-
A Myopic Monte Carlo Strategy for the Partially Observable Travelling Salesman Problem
Andrew R. Buck, James M. Keller
2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, BC, Canada, 2016, pp. 632-639
WCCI, CEC, Pathfinding, Mental Map
[DOI] [paper] [slides]
Improving the Detection of Explosive Hazards with LIDAR-Based Ground Plane Estimation
A. Buck, J. M. Keller, M. Popescu
Proc. SPIE 9823, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, 2016
SPIE, EH Detection
[DOI] [paper] [slides]
2015-
Learning the Mental Map of a Fuzzy Decision-Maker
Andrew R. Buck, James M. Keller
2015 MU Computer Science and Information Technology Showcase
Poster, Pathfinding, MCDM, Visualization, Mental Map, Demo
[poster]
Behavioral Learning of a Fuzzy Decision-Maker
Andrew R. Buck, James M. Keller
2015 MU IEEE Computational Intelligence Society Poster Contest
Poster, Pathfinding, MCDM, Visualization
[paper] [slides] [poster]
2014-
Visualizing Uncertainty with Fuzzy Rose Diagrams
Andrew R. Buck, James M. Keller
2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES), Orlando, FL, 2014, pp. 30-36
Best Student Paper, SSCI, CIES, Visualization, Demo, Code
[DOI] [paper] [slides] [code]
Endmember Representation of Human Geography Layers
A. Buck, A. Zare, J. Keller, M. Popescu
2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD), Orlando, FL, 2014, pp. 1-6
SSCI, CIBD, Human Geography
[DOI] [paper]
A Human Geospatial Predictive Analytics Framework With Application to Finding Medically Underserved Areas
James M. Keller, Andrew R. Buck, Alina Zare, Mihail Popescu
2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD), Orlando, FL, 2014, pp. 1-6
SSCI, CIBD, Human Geography
[DOI] [paper]
Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister: An Exercise in Teaching Computational Intelligence
Andrew R. Buck, Tanvi Banerjee, James M. Keller
2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, China, 2014, pp. 28-35
WCCI, CEC, Games
[DOI] [paper]
An α-Level OWA Implementation of Bounded Rationality for Fuzzy Route Selection
Andrew R. Buck, James M. Keller, Mihail Popescu
Advance Trends in Soft Computing (Studies in Fuzziness and Soft Computing, no. 312), Springer, 2014, pp. 253-260
WCSC, MCDM, Pathfinding, Demo
[DOI] [paper] [slides]
2013-
A Graph-Based Memetic Approach to Sketch Geolocation
Andrew R. Buck, James M. Keller
2013 IEEE Workshop on Memetic Computing (MC), Singapore, 2013, pp. 44-51
Best Paper, SSCI, MC, Spatial Relations, Histogram of Forces
[DOI] [paper] [slides]
A Memetic Algorithm for Matching Spatial Configurations with the Histograms of Forces
Andrew R. Buck, James M. Keller, Marjorie Skubic
IEEE Transactions on Evolutionary Computation, vol. 17, no. 4, pp. 588-604, Aug. 2013
IEEE-TEC, Spatial Relations, Histogram of Forces
[DOI] [paper]
2011-
A Memetic Algorithm for Searching Spatial Configurations with the Histograms of Forces
Andrew R. Buck, James M. Keller, Marjorie Skubic
2011 MU IEEE Computational Intelligence Society Poster Contest
Poster, Spatial Relations, Histogram of Forces
[poster]
Object Set Matching With an Evolutionary Algorithm
Andrew R. Buck, James M. Keller, Marjorie Skubic, Marcin Detyniecki, Thomas Baerecke
2011 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA), Paris, France, 2011, pp 43-50
SSCI, CISDA, Spatial Relations, Histogram of Forces
[DOI] [paper] [slides]
2010-
A Modified Genetic Algorithm for Matching Building Sets with the Histograms of Forces
Andrew R. Buck, James M. Keller, Marjorie Skubic
2010 IEEE Congress on Evolutionary Computation (CEC), Barcelona, Spain, 2010, pp. 1-7
WCCI, CEC, Poster, Spatial Relations, Histogram of Forces
[DOI] [paper] [poster]
2009-
A Modified Genetic Algorithm for Matching Building Sets
Andrew Buck, Isaac Sledge, James Keller, Marjorie Skubic
ECE 7870 - Intro to Computational Intelligence, University of Missouri, Fall 2009
Course Work, Poster, Spatial Relations, Histogram of Forces
[poster]
Generating a Map from a Linguistic Description
Andrew Buck, Isaac Sledge, James Keller, Marjorie Skubic
ECE 4995 - Undergraduate Honors Research, University of Missouri, Spring 2009
Course Work, Poster, Spatial Relations, Histogram of Forces
[paper] [poster]