A modified genetic algorithm for matching building sets with the histograms of forces. - Andrew R. Buck; James M. Keller; Marjorie Skubic (IEEE Congress on Evolutionary Computation, 2010)

Object set matching with an evolutionary algorithm. - Andrew R. Buck; James M. Keller; Marjorie Skubic; Marcin Detyniecki; Thomas Bärecke (CISDA, 2011)

A graph-based memetic approach to sketch geolocation. - Andrew R. Buck; James M. Keller (Memetic Computing, 2013)

An α-Level OWA Implementation of Bounded Rationality for Fuzzy Route Selection. - Andrew R. Buck; James M. Keller; Mihail Popescu (WCSC, 2013)

A Memetic Algorithm for Matching Spatial Configurations With the Histograms of Forces. - Andrew R. Buck; James M. Keller; Marjorie Skubic (IEEE Trans. Evol. Comput., 2013)

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 (IEEE Congress on Evolutionary Computation, 2014)

Endmember representation of human geography layers. - Andrew R. Buck; Alina Zare; James M. Keller; Mihail Popescu (CIBD, 2014)

A human geospatial predictive analytics framework with application to finding medically underserved areas. - James M. Keller; Andrew R. Buck; Alina Zare; Mihail Popescu (CIBD, 2014)

Visualizing uncertainty with fuzzy rose diagrams. - Andrew R. Buck; James M. Keller (CIES, 2014)

A myopic Monte Carlo strategy for the partially observable travelling salesman problem. - Andrew R. Buck; James M. Keller (CEC, 2016)

Evaluating Path Costs in Multi-Attributed Fuzzy Weighted Graphs. - Andrew R. Buck; James M. Keller (FUZZ-IEEE, 2019)

Deep Morphological Hit-or-Miss Transform Neural Network. - Muhammad Aminul Islam; Bryce Murray; Andrew R. Buck; Derek T. Anderson; Grant J. Scott; Mihail Popescu; James Keller 001 (CoRR, 2019)

A Weighted Matrix Visualization for Fuzzy Measures and Integrals. - Andrew R. Buck; Derek T. Anderson; James M. Keller; Timothy Wilkin 001; Muhammad Aminul Islam (FUZZ-IEEE, 2020)

Fuzzy Integral = Contextual Linear Order Statistic. - Derek Anderson; Matthew Deardorff; Timothy C. Havens; Siva K. Kakula; Timothy Wilkin 001; Muhammad Aminul Islam; Anthony Pinar; Andrew R. Buck (CoRR, 2020)

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 J. Scott (FUZZ-IEEE, 2021)

Simulated Photorealistic Deep Learning Framework and Workflows to Accelerate Computer Vision and Unmanned Aerial Vehicle Research. - Brendan Alvey; Derek T. Anderson; Andrew R. Buck; Matthew Deardorff; Grant J. Scott; James M. Keller (ICCVW, 2021)

Characterization of Deep Learning-Based Aerial Explosive Hazard Detection using Simulated Data. - Brendan Alvey; Derek T. Anderson; Clare Yang; Andrew R. Buck; James M. Keller; Ken E. Yasuda; Hollie A. Ryan (SSCI, 2021)

Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks. - Muhammad Aminul Islam; Bryce Murray; Andrew R. Buck; Derek T. Anderson; Grant J. Scott; Mihail Popescu; James Keller 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

A Comparison of Relative Position Descriptors for 3D Objects. - Andrew R. Buck; Derek T. Anderson; James M. Keller; Robert H. Luke III; Grant J. Scott (FUZZ-IEEE, 2022)

Simulating City-Scale Aerial Data Collection Using Unreal Engine. - Dhruv Agarwal 004; Taci Kucukpinar; Joshua Fraser; Jeffrey Kerley; Andrew R. Buck; Derek T. Anderson; Kannappan Palaniappan (AIPR, 2023)

Improving Real-Time Aerial 3D Reconstruction: Towards Fusion of a Hand-Crafted SfM Algorithm with a Data-Driven Deep Neural Network. - Jack Akers; Andrew R. Buck; Derek Anderson; James Keller 001; Raub Camaioni; Matthew Deardorff; Robert H. Luke III (AIPR, 2023)

Frame Selection Strategies for Real-Time Structure-from-Motion from an Aerial Platform. - Andrew R. Buck; Jack Akers; Derek T. Anderson; James M. Keller; Raub Camaioni; Matthew Deardorff; Robert H. Luke III (AIPR, 2023)

Capturing Uncertainty in Monocular Depth Estimation: Towards Fuzzy Voxel Maps. - Andrew R. Buck; Derek T. Anderson; Raub Camaioni; Jack Akers; Robert H. Luke III; James M. Keller (FUZZ, 2023)

Linguistic Explanations of Black Box Deep Learning Detectors on Simulated Aerial Drone Imagery. - Brendan Alvey; Derek Anderson; James Keller 001; Andrew R. Buck (Sensors, 2023)

Designing Reliable Navigation Behaviors for Autonomous Agents in Partially Observable Grid-world Environments. - Andrew R. Buck; Derek T. Anderson; James M. Keller; Cindy L. Bethel; Audrey L. Aldridge (IJCNN, 2024)

A Virtual Testbed for the Multidisciplinary Evaluation of Human-Agent Teaming Dynamics. - Audrey L. Aldridge; Christopher R. Hudson; Karl Smink; Andrew R. Buck; Derek T. Anderson; Victor Paul; Rachel Anderson; Drew Hoelscher; Mary Quinn; Matús Pleva; Cindy L. Bethel; Daniel W. Carruth (HCI (8), 2025)