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Using a random road graph model to understand road networks robustness to link failures (2020)
Journal Article
Sohouenou, P. Y., Christidis, P., Christodoulou, A., Neves, L. A., & Presti, D. L. (2020). Using a random road graph model to understand road networks robustness to link failures. International Journal of Critical Infrastructure Protection, 29, https://doi.org/10.1016/j.ijcip.2020.100353

Disruptions to the transport system have a greater impact on society and the economy now than ever before due to the increased interconnectivity and interdependency of the economic sectors. The ability of transport systems to maintain functionality d... Read More about Using a random road graph model to understand road networks robustness to link failures.

Pseudo Credal Networks for Inference With Probability Intervals (2019)
Journal Article
Estrada-Lugo, H. D., Tolo, S., de Angelis, M., & Patelli, E. (2019). Pseudo Credal Networks for Inference With Probability Intervals. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 5(4), Article RISK-18-1097. https://doi.org/10.1115/1.4044239

The computation of the inference corresponds to an NP-hard problem even for a single connected credal network. The novel concept of pseudo networks is proposed as an alternative to reduce the computational cost of probabilistic inference in credal ne... Read More about Pseudo Credal Networks for Inference With Probability Intervals.