Perceptive Machines: From Selective Attention and Recognition to Visual Cognition. - Deepak Khosla; David J. Huber (AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, 2008)

Detecting and analyzing relationships among anomalies. - David Allen; Tsai-Ching Lu; David J. Huber (IEEE VAST, 2009)

A Neuromorphic Approach to Object Detection and Recognition in Airborne Videos with Stabilization. - Yang Chen; Deepak Khosla; David J. Huber; Kyungnam Kim; Shinko Y. Cheng (ISVC (2), 2011)

Brain-enhanced synergistic attention (BESA). - Deepak Khosla; Matthew Keegan; Lei Zhang; Kevin R. Martin; Darrel J. VanBuer; David J. Huber (GazeIn@ICMI, 2012)

Efficient Algorithms for Indoor MAV Flight Using Vision and Sonar Sensors. - Kyungnam Kim; David J. Huber; Jiejun Xu; Deepak Khosla (ISVC (1), 2015)

A crowdsourcing triage algorithm for geopolitical event forecasting. - Mohammad Rostami; David J. Huber; Tsai-Ching Lu (RecSys, 2018)

MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. - David J. Huber; Samuel D. Johnson; Nigel Stepp; Aruna Jammalamadaka; Dana Warmsley; Tiffany Kim; Tsai-Ching Lu (IEEE BigData, 2019)

MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. - David J. Huber; Nigel Stepp; Aruna Jammalamadaka; Tiffany Kim; Sam Johnson; Dana Warmsley; Tsai-Ching Lu (IEEE BigData, 2019)

Matching Representations of Explainable Artificial Intelligence and Eye Gaze for Human-Machine Interaction. - Tiffany Hwu; Mia Levy; Steven Skorheim; David Huber 004 (CoRR, 2021)