Research project relating to developing trustworthiness in artificial intelligence. Funding contributed to the following papers:
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K Lai, V. Shmerko, and S. Yanushkevich, Measuring Fairness of Deep Neural Network Classifiers for Face Biometrics, International Conference on Cognitive Machine Intelligence, December 2022.
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R. Islam, K Lai and S. Yanushkevich, Hand Gesture Classification on Praxis Dataset: Trading Accuracy for Expense, International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
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K. Lai, S. Yanushkevich, V. Shmerko, and M. Hou, Capturing Causality in Bias in Human Action Recognition, in Pattern Recognition Letters, vol. 147, July 2021, pp. 164-171.
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K. Lai, S. Yanushkevich, and V. Shmerko, Epidemiology Attack at the Aircraft Carrier Theodore Roosevelt: Bridging Gaps of the Emergency Management, Journal of Defense Modeling and Simulation, July 2021, pp. 1-16.
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K. Lai, S. N. Yanushkevich and V. P. Shmerko, Intelligent Stress Monitoring Assistant for First Responders, in IEEE Access, vol. 9, February 2021, pp. 25314-25329.
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K. Lai, H. Oliveira, M. Hou, S. Yanushkevich, and V. Shmerko, Assessing Risks of Biases in Cognitive Decision Support Systems, European Signal Processing Conference, January 2021, pp. 840-844
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K. Lai, H. Oliveira, M. Hou, S. Yanushkevich, and V. Shmerko, Risk, Trust, and Bias: Causal Regulators of Biometric-Enabled Decision Support, IEEE Access, vol. 8, August 2020, pp. 148779-148792.
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K. Lai, S. Yanushkevich, and V. Shmerko, Reliability of Decision Support in Cross-spectral Biometric-enabled Systems, IEEE International Conference on Systems, Man, and Cybernetics, October 2020, pp. 1-6.
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K. Lai and S. Yanushkevich, Decision Support for Video-based Detection of Flu Symptoms, IEEE International Conference on Systems, Man, and Cybernetics, October 2020, pp. 1-7.