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L
M. Molineaux, Aha, D. W., and Kuter, U., Learning event models that explain anomalies, in Explanation-Aware Computing: Papers from the IJCAI Workshop, Barcelona Spain, 2011. Download PDF (170.83 KB)
U. Jaidee, Muñoz-Avila, H., and Aha, D. W., Learning and Reusing Goal-Specific Policies for Goal-Driven Autonomy, Proceedings of the Twentieth International Conference on Case-Based Reasoning. Springer Berlin Heidelberg, Lyon, France, pp. 182-195, 2012. Download PDF (769.27 KB)
B. Morris, Aha, D. W., Auslander, B., and Gupta, K., Learning and leveraging context for maritime threat analysis: Vessel classification using Exemplar-SVM, Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence, Washington, DC, 2012. Download PDF (12.44 MB)
L. K. McDowell and Aha, D. W., Labels or attributes? Rethinking the neighbors for collective classification in sparsely-labeled networks, in International Conference on Information and Knowledge Management, San Francisco, CA, 2013. Download PDF (338.46 KB)
I
M. Roberts, Vattam, S., Alford, R., Auslander, B., Karneeb, J., Molineaux, M., Apker, T., Wilson, M., McMahon, J., and Aha, D. W., Iterative goal refinement for robotics, Planning and Robotics: Papers from the ICAPS Workshop. AAAI Press, Portsmouth, NH, 2014. Download PDF (704.64 KB)
B. A. W. Jensen, Karneeb, J., Borck, H., and Aha, D. W., Integrating AFSIM as an internal predictor, Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence, Washington, DC, AIC-14-172, 2014. Download PDF (415.56 KB)
U. Jaidee, Muñoz-Avila, H., and Aha, D. W., Integrated learning for goal-driven autonomy, in Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, Barcelona, Spain, 2011. Download PDF (504.79 KB)
K. Laviers, Sukthankar, G., Molineaux, M., and Aha, D. W., Improving offensive performance through opponent modeling, in Conference on Artificial Intelligence and Interactive Digital Entertainment, Stanford, CA, 2009. Download PDF (0 bytes)
H
M. W. Floyd, Drinkwater, M., and Aha, D. W., How much do you trust me? Learning a case-based model of inverse trust, Proceedings of the Twenty-Second International Conference on Case-Based Reasoning. Springer, Cork, Ireland, pp. 125-139, 2014. Download PDF (302.78 KB)
C. Heitmeyer, Pickett, M., Breslow, L., Aha, D. W., J Trafton, G., and Leonard, E. I., High assurance human-centric decision systems, in ICSE-13 Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, San Francisco, CA, 2013. Download PDF (1.01 MB)
G
H. Muñoz-Avila, Jaidee, U., Aha, D. W., and Carter, E., Goal-Driven Autonomy with Case-Based Reasoning, in Proceedings of the Eighteenth International Conference on Case-Based Reasoning, Alessandria, Italy, 2010. Download PDF (425.97 KB)
M. Molineaux, Klenk, M., and Aha, D. W., Goal-Driven Autonomy in a Navy Strategy Simulation, Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence. AAAI Press, Atlanta, GA, pp. 1548-1554, 2010. Download PDF (1.09 MB)
M. Klenk, Molineaux, M., and Aha, D. W., Goal-Driven Autonomy for Responding to Unexpected Events in Strategy Simulations, Computational Intelligence, vol. 29, no. 2, pp. 187-206, 2013. download PDF (1.15 MB)
D. W. Aha, Molineaux, M., and Klenk, M., Goal-Driven Autonomy, 2011 NRL Review, pp. 164-166, 2011. Download PDF (356.07 KB)
E
D. C. Uthus and Aha, D. W., Extending word highlighting in multiparticipant chat, in Florida Artificial Intelligence Research Society Conference, St. Pete Beach, FL, 2013. Download PDF (174.67 KB)
K. Laviers, Sukthankar, G., Molineaux, M., and Aha, D. W., Exploiting early intent recognition for competitive advantage, in IJCAI Workshop on Plan, Activity, and Intent Recognition, Pasadena, CA, 2009. Download PDF (2.36 MB)
M. T. Cox and Aha, D. W., Experience-based narrative memory, in IUI Workshop on Story Understanding and Generation for Context-Aware Interface Design, Sanibel Island, FL, 2009. Download PDF (16.02 KB)
M. Molineaux, Aha, D. W., and Kuter, U., Efficiently explaining deterministic exogenous events in partially observable environments, Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence, Washington, DC, AIC-12-081, 2012. Download PDF (181.8 KB)
D
M. Wilson, Molineaux, M., and Aha, D. W., Domain-independent heuristics for goal formulation, Proceedings of the Twenty-Sixth Florida Artificial Intelligence Research Society Conference. AAAI Press, St. Pete Beach, FL, pp. 160-165, 2013. Download PDF (1.18 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. Download PDF (133.49 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. Download PDF (1.07 MB)
C
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. Download PDF (450.73 KB)
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. Download PDF (401.63 KB)
B. Auslander, Gupta, K., and Aha, D. W., Comparative evaluation of anomaly detection algorithms for local maritime video surveillance, in Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense X, Orlando, FL, 2011. Download PDF (1.56 MB)
L. K. McDowell, Gupta, K., and Aha, D. W., Cautious Collective Classification, Journal of Machine Learning Research, vol. 10, pp. 2777-2836, 2009. Download PDF (513.36 KB)

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