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cs.AI2021
Bayesian Model Averaging for Data Driven Decision Making when Causality is Partially Known
Marios Papamichalis, Abhishek Ray, Ilias Bilionis +2
Probabilistic machine learning models are often insufficient to help with decisions on interventions because those models find correlations - not causal relationships. If observati…
cs.AI2021
Relational Dynamic Bayesian Network Modeling for Uncertainty Quantification and Propagation in Airline Disruption Management
Kolawole Ogunsina, Marios Papamichalis, Daniel DeLaurentis
Disruption management during the airline scheduling process can be compartmentalized into proactive and reactive processes depending upon the time of schedule execution. The state…