| Structural identification with systematic errors and unknown uncertainty dependencies JA Goulet, IFC Smith Computers & structures 128, 251-258, 2013 | 167 | 2013 |
| Model falsification diagnosis and sensor placement for leak detection in pressurized pipe networks JA Goulet, S Coutu, IFC Smith Advanced Engineering Informatics 27 (2), 261-269, 2013 | 152 | 2013 |
| Multimodel structural performance monitoring JA Goulet, P Kripakaran, IFC Smith Journal of structural engineering 136 (10), 1309-1318, 2010 | 126 | 2010 |
| Data‐driven post‐earthquake rapid structural safety assessment JA Goulet, C Michel, AD Kiureghian Earthquake Engineering & Structural Dynamics 44 (4), 549-562, 2015 | 75 | 2015 |
| Probabilistic Machine Learning for Civil Engineers JA Goulet MIT Press, 2020 | 73 | 2020 |
| Anomaly detection with the switching kalman filter for structural health monitoring LH Nguyen, JA Goulet Structural Control and Health Monitoring 25 (4), e2136, 2018 | 64 | 2018 |
| Hybrid probabilities and error-domain structural identification using ambient vibration monitoring JA Goulet, C Michel, IFC Smith Mechanical Systems and Signal Processing 37 (1-2), 199-212, 2013 | 63 | 2013 |
| Pre-posterior optimization of sequence of measurement and intervention actions under structural reliability constraint JA Goulet, A Der Kiureghian, B Li Structural Safety 52, 1-9, 2015 | 55 | 2015 |
| Predicting the usefulness of monitoring for identifying the behavior of structures JA Goulet, IFC Smith Journal of Structural Engineering 139 (10), 1716-1727, 2013 | 52 | 2013 |
| Bayesian dynamic linear models for structural health monitoring JA Goulet Structural Control and Health Monitoring 24 (12), e2035, 2017 | 50 | 2017 |
| Improving fatigue evaluations of structures using in-service behavior measurement data R Pasquier, JA Goulet, C Acevedo, IFC Smith Journal of Bridge Engineering 19 (11), 04014045, 2014 | 50 | 2014 |
| Performance-Driven Measurement-System Design for Structural Identification JA Goulet, IFC Smith Journal of Computing in Civil Engineering, 2012 | 45 | 2012 |
| Empirical validation of Bayesian dynamic linear models in the context of structural health monitoring JA Goulet, K Koo Journal of bridge engineering 23 (2), 05017017, 2018 | 39 | 2018 |
| Measurement, data interpretation, and uncertainty propagation for fatigue assessments of structures R Pasquier, L D’Angelo, JA Goulet, C Acevedo, A Nussbaumer, IFC Smith Journal of Bridge Engineering 21 (5), 04015087, 2016 | 35 | 2016 |
| Quantifying the effects of modeling simplifications for structural identification of bridges JA Goulet, M Texier, C Michel, IFC Smith, L Chouinard Journal of Bridge Engineering 19 (1), 59-71, 2014 | 35 | 2014 |
| Real‐time anomaly detection with Bayesian dynamic linear models LH Nguyen, JA Goulet Structural Control and Health Monitoring 26 (9), e2404, 2019 | 27 | 2019 |
| Probabilistic model falsification for infrastructure diagnosis JA Goulet EPFL, 2012 | 27 | 2012 |
| Tractable approximate Gaussian inference for Bayesian neural networks JA Goulet, LH Nguyen, S Amiri Journal of Machine Learning Research 22 (251), 1-23, 2021 | 24 | 2021 |
| Exploring approaches to improve the performance of autonomous monitoring with imperfect data in location-aware wireless sensor networks X Luo, WJ O’Brien, F Leite, JA Goulet Advanced Engineering Informatics 28 (4), 287-296, 2014 | 22 | 2014 |
| Modeling infrastructure degradation from visual inspections using network‐scale state‐space models Z Hamida, JA Goulet Structural Control and Health Monitoring 27 (9), e2582, 2020 | 18 | 2020 |
Ian SmithDirector of the Georg Nemetschek Institute, TU MunichVerified email at tum.de