Efficient Bayesian network modeling of systems M Bensi, A Der Kiureghian, D Straub Reliability Engineering & System Safety 112, 200-213, 2013 | 151 | 2013 |
A Bayesian network methodology for infrastructure seismic risk assessment and decision support MT Bensi University of California, Berkeley, 2010 | 129 | 2010 |
Rapid prediction of peak storm surge from tropical cyclone track time series using machine learning JW Lee, JL Irish, MT Bensi, DC Marcy Coastal Engineering 170, 104024, 2021 | 75 | 2021 |
Social media crowdsourcing for rapid damage assessment following a sudden-onset natural hazard event L Li, M Bensi, Q Cui, GB Baecher, Y Huang International Journal of Information Management 60, 102378, 2021 | 64 | 2021 |
Application of surrogate models in estimation of storm surge: A comparative assessment A Al Kajbaf, M Bensi Applied Soft Computing 91, 106184, 2020 | 57 | 2020 |
Framework for post-earthquake risk assessment and decision making for infrastructure systems M Bensi, AD Kiureghian, D Straub ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2015 | 55 | 2015 |
Bayesian network modeling of correlated random variables drawn from a Gaussian random field M Bensi, A Der Kiureghian, D Straub Structural Safety 33 (6), 317-332, 2011 | 52 | 2011 |
A Bayesian network approach for modeling dependent seismic failures in a nuclear power plant probabilistic risk assessment JDJ Segarra, M Bensi, M Modarres Reliability Engineering & System Safety 213, 107678, 2021 | 32 | 2021 |
The education/growth relationship: Evidence from real state panel data MT Bensi, DC Black, MR Dowd Contemporary Economic Policy 22 (2), 281-298, 2004 | 29 | 2004 |
A Bayesian network framework for post-earthquake infrastructure system performance assessment MT Bensi, AD Kiureghian, D Straub TCLEE 2009: Lifeline Earthquake Engineering in a Multihazard Environment, 1-12, 2009 | 23 | 2009 |
Dynamic assessment of the COVID-19 vaccine acceptance leveraging social media data L Li, J Zhou, Z Ma, MT Bensi, MA Hall, GB Baecher Journal of Biomedical Informatics 129, 104054, 2022 | 19 | 2022 |
Measuring soil coverage using image feature descriptors and the decision tree learning algorithm DC Owen, MT Bensi, AP Davis, AH Aydilek Biosystems Engineering 196, 112-126, 2020 | 18 | 2020 |
Multi-unit seismic probabilistic risk assessment: A Bayesian network perspective JDJ Segarra, M Bensi, M Modarres Reliability Engineering & System Safety 234, 109169, 2023 | 17 | 2023 |
Modeling infrastructure system performance using BN MT Bensi, D Straub, P Friis-Hansen, A Der Kiureghian Proc. ICOSSAR 2009, 2009 | 17 | 2009 |
Exploring the potential of social media crowdsourcing for post-earthquake damage assessment L Li, M Bensi, G Baecher International Journal of Disaster Risk Reduction 98, 104062, 2023 | 16 | 2023 |
Extension of probabilistic seismic hazard analysis to account for the spatial variability of ground motions at a multi-unit nuclear power plant hard-rock site JDJ Segarra, M Bensi, T Weaver, M Modarres Structural Safety 85, 101958, 2020 | 14 | 2020 |
Temporal downscaling of precipitation from climate model projections using machine learning AA Kajbaf, M Bensi, KL Brubaker Stochastic Environmental Research and Risk Assessment 36 (8), 2173-2194, 2022 | 12 | 2022 |
Multi-mechanism flood hazard Assessment: Critical review of current practice and approaches M Bensi, S Mohammadi, SC Kao, ST DeNeale Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2020 | 11 | 2020 |
Spatial modeling of earthquake hazard and infrastructure performance through Bayesian networks D Straub, MT Bensi, A Der Kiureghian Proc., EM’08 Conf, 2008 | 11 | 2008 |
On the value of data fusion and model integration for generating real-time risk insights for nuclear power reactors MT Bensi, KM Groth Progress in Nuclear Energy 129, 103497, 2020 | 8 | 2020 |