K. Gupta and Aha, D. W., “Adaptive Web Services Brokering”, in Machine Interpretations of Patterns: Image Analysis and Data Mining, Singapore: World Scientific Press, 2010.

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K. Gupta, Aha, D. W., and Moore, P., “Case-based collective inference for maritime object classification”, in International Conference on Case-Based Reasoning, Seattle, WA, 2009.

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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.

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J. T. Turner, Gupta, K., and Aha, D. W., “Keypoint density-based region proposal for fine-grained object detection and classification using regions with convolutional neural network features”, in 2016 Applied Imagery Pattern Recognition (AIPR) Workshop, Washington, DC, 2016.

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B. Auslander, Gupta, K., and Aha, D. W., “Maritime threat detection using plan recognition”, in Annual IEEE Conference on Technologies for Homeland Security, Boston, MA, 2012.

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L. K. McDowell, Gupta, K., and Aha, D. W., “ Meta-prediction in collective classification”, in Florida Artificial Intelligence Research Society Conference, Daytona Beach, FL, 2010.

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J. T. Turner, Gupta, K., and Aha, D. W., “SPARCNN: Spatially related convolutional neural networks”, in 2016 Applied Imagery Pattern Recognition (AIPR) Workshop, Washington, DC, 2016.

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B. Auslander, Gupta, K., and Aha, D. W., “Maritime Threat Detection Using Probabilistic Graphical Models”, Proceedings of the Twenty-Fifth Florida Artificial Intelligence Research Society Conference. AAAI Press, Marco Island, FL, 2012.

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L. K. McDowell, Gupta, K., and Aha, D. W., “Cautious Collective Classification”, Journal of Machine Learning Research, vol. 10, pp. 2777-2836, 2009.

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D. W. Aha, Gupta, K., and Auslander, B., “Maritime threat detection”, NRL Review, pp. 123-125, 2012.

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J. T. Turner, Gupta, K., Morris, B., and Aha, D. W., “Keypoint Density-based Region Proposal for Fine-Grained Object Detection using Regions with Convolutional Neural Network Features”, 2015.

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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.

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L. K. McDowell, Gupta, K., and Aha, D. W., “Using caution to explain and improve collective classification”, Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence, Washington, DC, AIC-09-140, 2009.

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