Grant Scott

Transfer Learning for the Choquet Integral

Timothy C. Havens, Derek T. Anderson, Paul Elmore, 2019, 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Neuro-fuzzy logic for parts-based reasoning about complex scenes in remotely sensed data

Derek T. Anderson, Fred Petry, James Keller, 2020, Defense + Commercial Sensing.

Accumulating confidence for deep neural network object detections and semantic segmentations in sequential UAS imagery through spatiotemporal feature correspondences generated from SfM techniques

Stanton R. Price, James Keller, Grant Scott, 2021, Defense + Commercial Sensing.

A Fuzzy Spatial Relationship Graph for Point Clouds Using Bounding Boxes

Robert H. Luke, Andrew R. Buck, James M. Keller, 2021, 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Simulated Photorealistic Deep Learning Framework and Workflows to Accelerate Computer Vision and Unmanned Aerial Vehicle Research

James M. Keller, Brendan Alvey, Andrew Buck, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Towards an explainable AI adjunct to deep network obstacle detection for multisensor vehicle maneuverability assessment

Grant Scott, David Huangal, J. Alex Hurt, 2021, Defense + Commercial Sensing.

Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks

Mihail Popescu, Muhammad Aminul Islam, Andrew Buck, 2021, IEEE Transactions on Neural Networks and Learning Systems.