A. R. Buck, D. T. Anderson, J. M. Keller, C. Bethel, and A. Aldridge, "Designing reliable navigation behaviors for autonomous agents in partially observable grid-world environments," in 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024. [post] [DOI] [paper] [slides]
D. R. Buffum, A. R. Buck, J. Akers, R. Camaioni, M. Deardorff, D. T. Anderson, and R. H. Luke III, "Autonomous drone behavior via MCDM of UFOMap layers," in Proc. SPIE 13037, Geospatial Informatics XIV, 2024. [post] [DOI] [paper]
J. Kerley, D. T. Anderson, A. R. Buck, and B. Alvey, "Generating simulated data with a large language model," in Proc. SPIE 13035, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications II, 2024. [post] [DOI] [paper]
A. Soloviov, D. T. Anderson, A. R. Buck, and B. Alvey, "MizSIM: a headless open-source simulation framework for training and evaluating artificial intelligence," in Proc. SPIE 13035, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications II, 2024. [post] [DOI] [paper]
A. Buck, P. Popescu, D. Anderson, J. Keller, and M. Talbott, "Leveraging a digital twin to train, evaluate, and understand single image depth estimation for infrared imaging," MSS, 2024.
A. R. Buck, J. D. Akers, D. T. Anderson, J. M. Keller, R. Camaioni, M. Deardorff, R. H. Luke III, "Frame selection strategies for real-time structure-from-motion from an aerial platform," in 2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), St. Louis, MO, USA, 2023. [post] [DOI] [paper] [slides]
J. Akers, A. Buck, D. Anderson, J. Keller, R. Camaioni, M. Deardorff, R. Luke III, "Improving real-time aerial 3D reconstruction: towards fusion of a hand-crafted SfM algorithm with a data-driven deep neural network," in 2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), St. Louis, MO, USA, 2023. [post] [DOI] [paper]
A. R. Buck, D. T. Anderson, R. Camaioni, J. Akers, R. H. Luke III, and J. M. Keller, "Capturing uncertainty in monocular depth estimation: towards fuzzy voxel maps," in 2023 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Songdo Incheon, Korea, 2023. [post] [DOI] [paper] [slides]
B. Alvey, D. Anderson, J. Keller, and A. Buck, "Linguistic Explanations of Black Box Deep Learning Detectors on Simulated Aerial Drone Imagery," Sensors, 2023. [post] [DOI]
A. R. Buck, D. T. Anderson, J. Fraser, J. Kerley, and K. Palaniappan, "Ignorance is bliss: flawed assumptions in simulated ground truth," in Proc. SPIE 12529, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications, 2023. [post] [DOI] [paper] [slides] [video]
J. Akers, A. Buck, R. Camaioni, D. T. Anderson, R. H. Luke III, J. M. Keller, M. Deardorff, and B. Alvey, "Simulated gold-standard for quantitative evaluation of monocular vision algorithms," in Proc. SPIE 12525, Geospatial Informatics XIII, 2023. [post] [DOI] [paper] [video]
J. Kerley, D. T. Anderson, B. Alvey, and A. Buck, "How should simulated data be collected for AI/ML and unmanned aerial vehicles?" in Proc. SPIE 12529, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications, 2023. [post] [DOI] [paper] [video]
B. Mooers, A. L. Aldridge, A. Buck, C. L. Bethel, D. T. Anderson, "Human-robot teaming for a cooperative game in a shared partially observable space," in Proc. SPIE 12525, Geospatial Informatics XIII, 2023. [post] [DOI] [paper] [video]
A. Buck, J. Kerley, D. Anderson, and J. Keller, "Simulated data to train and evaluate deep learning-based passive monocular vision algorithms at medium to long ranges," MSS, 2023.
A. R. Buck, D. T. Anderson, J. M. Keller, R. H. Luke III, and G. Scott, "A comparison of relative position descriptors for 3D objects," in 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Padua, Italy, 2022. [post] [DOI] [paper] [slides]
A. Buck, R. Camaioni, B. Alvey, D. T. Anderson, J. M. Keller, R. H. Luke III, and G. Scott, "Unreal Engine-based photorealistic aerial data generation and unit testing of artificial intelligence algorithms," in Proc. SPIE 12099, Geospatial Informatics XII, 2022. [post] [DOI] [paper] [slides] [video]
R. Camaioni, R. H. Luke III, A. Buck, D. T. Anderson, "EpiDepth: a real-time monocular dense-depth estimation pipeline using generic image rectification," in Proc. SPIE 12099, Geospatial Informatics XII, 2022. [post] [DOI] [paper] [video]
J. Kerley, A. Fuller, M. Kovaleski, P. Popescu, B. Alvey, D. T. Anderson, A. Buck, J. M. Keller, G. Scott, C. Yang, K. E. Yasuda, H. A. Ryan, "Procedurally generated simulated datasets for aerial explosive hazard detection," in Proc. SPIE 12116, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXIII, 2022. [post] [DOI] [paper] [video]
M. Kovaleski, A. Fuller, J. Kerley, B. Alvey, P. Popescu, D. Anderson, A. Buck, J. Keller, G. Scott, C. Yang, K. E. Yasuda, H. A. Ryan, "Explosive hazard pre-screener based on simulated data with perfect annotation and imprecisely labeled real data," in Proc. SPIE 12116, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXIII, 2022. [post] [DOI] [paper] [video]
A. Buck, M. Deardorff, B. Murray, D. Anderson, J. Keller, M. Popescu, D. Ho, and G. Scott, "Estimating depth from a single infrared image," MSS, 2022.
B. J. Murray, M. Islam, A. Buck, C. Veal, D. Anderson, J. Keller, M. Popescu, G. Scott, and D. K. C. Ho, "You only morph once (YOMO): morphology-based object detection and localization neural architecture," MSS, 2022.
B. J. Alvey, D. T. Anderson, C. Yang, A. Buck, J. M. Keller, K. E. Yen, and H. A. Ryan, "Characterization of deep learning-based aerial explosive hazard detection using simulated data," in 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021. [post] [DOI] [video]
B. Alvey, D. T. Anderson, A. Buck, M. Deardorff, G. Scott, and J. M. Keller, "Simulated photorealistic deep learning framework and workflows to accelerate computer vision and unmanned aerial vehicle research," in 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021. [post] [DOI] [paper] [video] [code]
A. R. Buck, D. T. Anderson, J. M. Keller, R. H. Luke III, and G. Scott, "A fuzzy spatial relationship graph for point clouds using bounding boxes," in 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Luxembourg, 2021. [post] [DOI] [paper] [slides] [video]
A. Buck, M. Deardorff, D. T. Anderson, T. Wilkin, J. M. Keller, G. Scott, R. H. Luke III, and R. Camaioni, "VADER: a hardware and simulation platform for visually aware drone autonomy research," in Proc. SPIE 11758, Unmanned Systems Technology XXIII, 2021. [post] [DOI] [paper] [slides] [video]
M. Deardorff, B. Alvey, D. T. Anderson, J. M. Keller, G. Scott, D. Ho, A. Buck, C. Yang, and B. Libbey, "Metadata enabled contextual sensor fusion for unmanned aerial system-based explosive hazard detection," in Proc. SPIE 11750, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXVI, 2021. [post] [DOI] [paper] [video]
B. Ruprecht, D. T. Anderson, F. Petry, J. Keller, C. Michael, A. Buck, G. Scott, and C. Davis, "Concept learning based on human interaction and explainable AI," in Proc. SPIE 11735, Pattern Recognition and Tracking XXXII, 2021. [post] [DOI] [paper] [video]
J. Schulz, A. Buck, D. T. Anderson, J. M. Keller, G. Scott, and R. H. Luke III, "Human-in-the-loop extension to stream classification for labeling of low altitude drone imagery," in Proc. SPIE 11748, Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure, 2021. [post] [DOI] [paper] [video]
B. Alvey, D. T. Anderson, J. M. Keller, A. Buck, G. Scott, D. Ho, C. Yang, and B. Libbey, "Improving explosive hazard detection with simulated and augmented data for an unmanned aerial system," in Proc SPIE 11750, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXVI, 2021. [post] [DOI] [paper] [video]
M. A. Islam, B. Murray, A. Buck, D. T. Anderson, G. J. Scott, M. Popescu, and J. Keller, "Extending the morphological hit-or-miss transform to deep neural networks," IEEE Transactions on Neural Networks and Learning Systems, Oct. 2020. [post] [DOI] [arXiv]
A. R. Buck, D. T. Anderson, J. M. Keller, T. Wilkin, and M. A. Islam, "A weighted matrix visualization for fuzzy measures and integrals," in 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, United Kingdom, 2020. [post] [DOI] [paper] [slides] [video] [code]
C. Veal, J. Schulz, A. Buck, D. Anderson, J. Keller, M. Popescu, G. Scott, D. Ho, and T. Wilkin, "Doing more with less: similarity neural nets and metrics for small class imbalanced data sets," in Proc. SPIE 11418, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, 2020. [post] [DOI]
J. Schulz, C. Veal, A. Buck, D. Anderson, J. Keller, M. Popescu, G. Scott, D. K. C. Ho, and T. Wilkin, "Extending deep learning to new classes without retraining," in Proc. SPIE 11418, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, 2020. [post] [DOI] [paper] [video]
D. Anderson, M. Deardorff, T. Havens, S. Kakula, T. Wilkin, M. Islam, A. Pinar, and A. Buck, "Fuzzy Integral = Contextual Linear Order Statistic", arXiv, 2020. [post] [arXiv]
A. R. Buck, "Multicriteria Pathfinding in Uncertain Simulated Environments," Ph.D. Dissertation, Dept. Elect. Eng. Comp. Sci., Univ. Missouri, Columbia, MO, USA, 2018. [post] [DOI] [dissertation] [slides]
P. Plodpradista, D. K. C. Ho, J. M. Keller, M. Popescu, and A. Buck, "Analyzing three-dimensional radar voxel data using the discrete Fourier transform for SAEH detection," in Proc. SPIE 10628, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII, 2018. [post] [DOI] [paper]
A. R. Buck and J. M. Keller, "A myopic Monte Carlo strategy for the partially observable travelling salesman problem," in 2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, BC, Canada, 2016, pp. 632-639. [post] [DOI] [paper] [slides]
A. Buck, J. M. Keller, and M. Popescu, "Improving the detection of explosive hazards with LIDAR-based ground plane estimation," in Proc. SPIE 9823, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, 2016. [post] [DOI] [paper] [slides]
A. R. Buck and J. M. Keller, "Visualizing uncertainty with fuzzy rose diagrams," in 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES), Orlando, FL, 2014, pp. 30-36. (Best Student Paper Award) [post] [DOI] [paper] [slides] [code]
A. Buck, A. Zare, J. Keller, and M. Popescu, "Endmember representation of human geography layers," in 2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD), Orlando, FL, 2014, pp. 1-6. [post] [DOI] [paper]
J. M. Keller, A. R. Buck, A. Zare, and M. Popescu, "A human geospatial predictive analytics framework with application to finding medically underserved areas," in 2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD), Orlando, FL, 2014, pp. 1-6. [post] [DOI] [paper]
A. R. Buck, T. Banerjee, and J. M. Keller, "Evolving a fuzzy goal-driven strategy for the game of Geister: An exercise in teaching computational intelligence," in 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, China, 2014, pp. 28-35. [post] [DOI] [paper]
A. R. Buck, J. M. Keller, and M. Popescu, "An α-Level OWA implementation of bounded rationality for fuzzy route selection," in Advance Trends in Soft Computing (Studies in Fuzziness and Soft Computing, no. 312), Springer, 2014, pp. 253-260. [post] [DOI] [paper] [slides]
A. R. Buck and J. M. Keller, "A graph-based memetic approach to sketch geolocation," in 2013 IEEE Workshop on Memetic Computing (MC), Singapore, 2013, pp. 44-51. (Best Paper Award) [post] [DOI] [paper] [slides]
A. R. Buck, J. M. Keller, and M. Skubic, "A Memetic Algorithm for Matching Spatial Configurations With the Histograms of Forces," IEEE Transactions on Evolutionary Computation, vol. 17, no. 4, pp. 588-604, Aug. 2013. [post] [DOI] [paper]