David Huber

According to our database, David Huber authored at least 9 papers between 2008 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Matching Representations of Explainable Artificial Intelligence and Eye Gaze for Human-Machine Interaction.

Tiffany Hwu, Mia Levy, Steven Skorheim, David Huber

CoRR, 2021

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

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

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

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A crowdsourcing triage algorithm for geopolitical event forecasting.

Mohammad Rostami, David J. Huber, Tsai-Ching Lu

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

2015

Efficient Algorithms for Indoor MAV Flight Using Vision and Sonar Sensors.

Kyungnam Kim, David J. Huber, Jiejun Xu, Deepak Khosla

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

2012

Brain-enhanced synergistic attention (BESA).

Deepak Khosla, Matthew Keegan, Lei Zhang, Kevin R. Martin, Darrel J. VanBuer, David J. Huber

Proceedings of the 4th Workshop on Eye Gaze in Intelligent Human Machine Interaction, 2012

2011

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

Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

2009

Detecting and analyzing relationships among anomalies.

David Allen, Tsai-Ching Lu, David J. Huber

Proceedings of the 4th IEEE Symposium on Visual Analytics Science and Technology, 2009

2008

Perceptive Machines: From Selective Attention and Recognition to Visual Cognition.

Deepak Khosla, David J. Huber

Proceedings of the Biologically Inspired Cognitive Architectures, 2008