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M. Chua, Aha, D. W., Auslander, B., Gupta, K. M., and Morris, B., Comparison of object detection algorithms on maritime vessels, Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence, AIC-14-041, 2014.PDF icon Download PDF (401.63 KB)
M. Otte, Kuhlman, M. J., and Sofge, D. A., Competitive Two Team Target Search Game with Communication Symmetry and Asymmetry, WAFR 2016: Workshop on the Algorithmic Foundations of Robots. San Francisco, CA, 2016.PDF icon Download PDF (519.54 KB)
W. Lawson, Trafton, J. G., and Martinson, E., Complexion as a Soft Biometric in Human-Robot Interaction, IEEE Sixth International Conference on Biometrics: Theory, Applications, and Systems. IEEE Press, 2013.PDF icon Download PDF (337.91 KB)
C. Wasylyshyn, Brock, D. P., and McClimens, B., Comprehending Synthetically Accelerated Speech: The Relationship Between Performance and Self-Confidence, in The 17th Annual International Conference on Auditory Display, Budapest, Hungary, 2011.PDF icon Download PDF (2.43 MB)
C. Wasylyshyn, McClimens, B., and Brock, D. P., Comprehension of Speech Presented At Synthetically Accelerated Rates: Evaluating Training and Practice Effects, in The 16th International Conference on Auditory Display, Washington, DC, 2010.PDF icon Download PDF (64.91 KB)
L. M. Hiatt and Trafton, J. G., A Computational Model of Mind Wandering, Proceedings of the 37th Annual Conference of the Cognitive Science Society. Pasadena, CA, pp. 914-919, 2015.PDF icon Download PDF (145.42 KB)
G. Briggs, Bridewell, W., and Bello, P., A Computational Model of the Role of Attention in Subitizing and Enumeration , 39th Annual Meeting of the Cognitive Science Society. London, United Kingdom , 2017.PDF icon Download PDF (202.47 KB)
N. Li, Stracuzzi, D. J., Cleveland, G., Konik, T., Shapiro, D., Molineaux, M., Aha, D. W., and Ali, K., Constucting game agents from video of human behavior, in Conference on Artificial Intelligence and Interactive Digital Entertainment, Stanford, CA, 2009.PDF icon Download PDF (450.73 KB)
M. Molineaux and Aha, D. W., Continuous Explanation Generation in a Multi-Agent Domain, Third Annual Conference on Advances in Cognitive Systems. Atlanta, Georgia, 2015.PDF icon Download PDF (275.12 KB)
A. C. Schultz and Adams, W., Continuous Localization Using Evidence Grids, in International Conference on Robotics & Automation, Leuven, 1998.PDF icon Download PDF (726.42 KB)
J. T. Turner, Aha, D., Smith, L., and Gupta, K. Moy, Convolutional Architecture Exploration for Action Recognition and Image Classification, 2015.PDF icon Download PDF (240.98 KB)
M. Roberts, Apker, T., Johnson, B., Auslander, B., Wellman, B., and Aha, D. W., Coordinating robot teams for disaster relief, Proceedings of the Twenty-Eighth Florida Artificial Intelligence Research Society Conference. AAAI Press, Hollywood, FL, 2015.PDF icon Download PDF (749.33 KB)
V. Shivashankar, Alford, R., Roberts, M., and Aha, D. W., Cost-Optimal Algorithms for Hierarchical Goal Network Planning: A Preliminary Report, in HSDIP Workshop, International Conference on Automated Planning and Scheduling, London, England, 2016.PDF icon Download PDF (454.19 KB)
V. Shivashankar, Alford, R., Roberts, M., and Aha, D. W., Cost-Optimal Algorithms for Planning with Procedural Control Knowledge, European Conference on Artificial Intelligence. IOS Press, The Hauge, The Netherlands, 2016.PDF icon Download PDF (667.38 KB)
L. N. Smith, Cyclical Learning Rates for Training Neural Networks, WACV 2017: IEEE Winter Conference on Applications of Computer Vision. Santa Rosa, CA, 2017.PDF icon Download PDF (907.07 KB)
D. W. Aha and Schneider, A., The DARPA Deep Learning Program’s broad evaluation plan, Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence, Washington, DC, AIC-11-003, 2010.PDF icon Download PDF (1.07 MB)
D. M. Cades, Werner, N., Trafton, J. G., Boehm-Davis, D. A., and Monk, C. A., Dealing with Interruptions can be Complex, but does Interruption Complexity Matter: a Mental Resources Approach to Quantifying Disruptions, in Proceedings of the Human Factors and Ergonomics Society 52nd Annual Meeting, 2008.
S. S. Khemlani and Trafton, J. G., Deduction as stochastic simulation, in ICCM, Ottawa, Canada, 2013.PDF icon Download PDF (1.36 MB)
K. Sullivan and Lawson, W., Deep Obstacle Avoidance, IJCAI-16 Workshop on Deep Learning for Artificial Intelligence. New York, NY, 2016.PDF icon Download PDF (9.73 MB)
R. Kirby, Broz, F., Forlizzi, J., Michalowski, M. P., Mundell, A., Rosenthal, S., Sellner, B. P., Simmons, R., Snipes, K., Schultz, A. C., and Wang, J., Designing Robots for Long-Term Social Interaction, in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005), 2005.PDF icon Download PDF (579.42 KB)
W. Lawson, Hiatt, L. M., and Sullivan, K., Detecting Anomalous Objects on Mobile Platforms, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas, NV, 2016.PDF icon Download PDF (8.24 MB)
D. C. Uthus and Aha, D. W., Detecting bot-answerable questions in Ubuntu chat, in International Joint Conference on Natural Language Processing, Nagoya, Japan, 2013.PDF icon Download PDF (133.49 KB)
W. Curran, Brys, T., Aha, D. W., Taylor, M., and Smart, B., Dimensionality Reduced Reinforcement Learning for Assistive Robots, AAAI Fall Symposium - Artificial Intelligence for Human-Robot Interaction (Ai-HRI) 2016. Arlington, VA, 2016.PDF icon Download PDF (440.13 KB)
J. Karneeb, Floyd, M. W., Moore, P., and Aha, D. W., Distributed Discrepancy Detection for BVR Air Combat, 25th International Joint Conference on Artificial Intelligence Workshop on Goal Reasoning. New York, NY, 2016.PDF icon Download PDF (443.02 KB)
N. Sydney and Sofge, D., Distributed Information-Theoretic Target Detection Using Physics-Inspired Motion Coordination, 8th International Symposium on Resilient Control Systems. Philadelphia, PA, 2015.PDF icon Download PDF (502.02 KB)