| Advanced line sampling for efficient robust reliability analysis M de Angelis, E Patelli, M Beer Structural safety 52, 170-182, 2015 | 164 | 2015 |
| OpenCossan: An efficient open tool for dealing with epistemic and aleatory uncertainties E Patelli, M Broggi, M Angelis, M Beer Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and …, 2014 | 68 | 2014 |
| Uncertainty management in multidisciplinary design of critical safety systems E Patelli, DA Alvarez, M Broggi, M de Angelis Journal of Aerospace Information Systems 12 (1), 140-169, 2015 | 64 | 2015 |
| Reliability-based optimal design of nonlinear viscous dampers for the seismic protection of structural systems D Altieri, E Tubaldi, M De Angelis, E Patelli, A Dall’Asta Bulletin of Earthquake Engineering 16 (2), 963-982, 2018 | 58 | 2018 |
| OpenCossan 2.0: an efficient computational toolbox for risk, reliability and resilience analysis E Patelli, S Tolo, H George-Williams, J Sadeghi, R Rocchetta, ... | 31 | 2018 |
| "No test is better than a bad test": Impact of diagnostic uncertainty in mass testing on the spread of Covid-19 N Gray, D Calleja, A Wimbush, E Miralles-Dolz, A Gray, M De Angelis, ... medRxiv, 2020 | 29 | 2020 |
| Robust propagation of probability boxes by interval predictor models J Sadeghi, M de Angelis, E Patelli Structural Safety 82, 101889, 2020 | 21 | 2020 |
| On the Robust Estimation of Small Failure Probabilities for Strong Nonlinear Models M Faes, J Sadeghi, M Broggi, M De Angelis, E Patelli, M Beer, D Moens ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg 5 (4), 2019 | 21 | 2019 |
| An integrated and efficient numerical framework for uncertainty quantification: application to the nasa langley multidisciplinary uncertainty quantification challenge E Patelli, DA Alvarez, M Broggi, M de Angelis 16th AIAA Non-Deterministic Approaches Conference, 1501, 2014 | 18 | 2014 |
| Frequentist history matching with Interval Predictor Models J Sadeghi, M de Angelis, E Patelli Applied Mathematical Modelling 61, 29-48, 2018 | 14 | 2018 |
| Efficient training of interval Neural Networks for imprecise training data J Sadeghi, M De Angelis, E Patelli Neural Networks 118, 338-351, 2019 | 13 | 2019 |
| Forced Monte Carlo simulation strategy for the design of maintenance plans with multiple inspections M de Angelis, E Patelli, M Beer ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2017 | 13 | 2017 |
| From inference to design: A comprehensive framework for uncertainty quantification in engineering with limited information A Gray, A Wimbush, M de Angelis, PO Hristov, D Calleja, E Miralles-Dolz, ... Mechanical Systems and Signal Processing 165, 108210, 2022 | 10 | 2022 |
| Pseudo credal networks for inference with probability intervals HDE Lugo, S Tolo, M De Angelis, E Patelli ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2019 | 9* | 2019 |
| Probabilistic risk assessment of fire occurrence in residential buildings: Application to the Grenfell Tower HD Estrada-Lugo, M De Angelis, E Patelli 13th International Conference on Applications of Statistics and Probability …, 2019 | 8 | 2019 |
| Line sampling for assessing structural reliability with imprecise failure probabilities M de Angelis, E Patelli, M Beer Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and …, 2014 | 8 | 2014 |
| Analytic Probabilistic Safety Analysis Under Severe Uncertainty EP Jonathan Sadeghi, Marco de Angelis ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2019 | 7* | 2019 |
| Computing with uncertainty: Introducing Puffin the automatic uncertainty compiler N Gray, M De Angelis, F Scott. 3rd International Conference on Uncertainty Quantification in Computational …, 2019 | 6 | 2019 |
| Black-box propagation of failure probabilities under epistemic uncertainty M De Angelis, S Ferson, E Patelli, V Kreinovich 3rd International Conference on Uncertainty Quantification in Computational …, 2019 | 6 | 2019 |
| Utilising database-driven interactive software to enhance independent home-study in a flipped classroom setting: going beyond visualising engineering concepts to ensuring … L Comerford, A Mannis, M DeAngelis, IA Kougioumtzoglou, M Beer European Journal of Engineering Education 43 (4), 522-537, 2018 | 6 | 2018 |
Edoardo PatelliUniversity of Strathclyde, Glasgow, UKVerified email at strath.ac.uk
