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Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods.

, , , , , , , , and . Comput. Math. Organ. Theory, 29 (1): 220-241 (March 2023)

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Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods., , , , , , , , and . Comput. Math. Organ. Theory, 29 (1): 220-241 (March 2023)Human-Centric Contingency Analysis Metrics for Evaluating Operator Performance and Trust., , , , , , and . IEEE Access, (2023)The Utility in Conjoint Analysis as a Fast Expert Elicitation Technique., , , , and . ISI, page 1-6. IEEE, (2021)Opportunities for human factors in machine learning., , and . Frontiers Artif. Intell., (February 2023)Experimental Observations of the Topology of Convolutional Neural Network Activations., , , , , , , , and . CoRR, (2022)A Methodology for Evaluating Operator Usage of Machine Learning Recommendations for Power Grid Contingency Analysis., , , , , and . Frontiers Big Data, (2022)Adaptive Cognitive Mechanisms to Maintain Calibrated Trust and Reliance in Automation., , , and . Frontiers Robotics AI, (2021)Robustness Metrics for Real-World Adversarial Examples., and . CoRR, (2019)Sheaves as a Framework for Understanding and Interpreting Model Fit., , , and . ICCVW, page 4205-4213. IEEE, (2021)Robust Assessment of Real-World Adversarial Examples., and . CVPR Workshops, page 3442-3449. Computer Vision Foundation / IEEE, (2020)