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Marco de Angelis
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Year
Advanced line sampling for efficient robust reliability analysis
M de Angelis, E Patelli, M Beer
Structural safety 52, 170-182, 2015
1642015
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
682014
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
642015
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
582018
OpenCossan 2.0: an efficient computational toolbox for risk, reliability and resilience analysis
E Patelli, S Tolo, H George-Williams, J Sadeghi, R Rocchetta, ...
312018
"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
292020
Robust propagation of probability boxes by interval predictor models
J Sadeghi, M de Angelis, E Patelli
Structural Safety 82, 101889, 2020
212020
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
212019
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
182014
Frequentist history matching with Interval Predictor Models
J Sadeghi, M de Angelis, E Patelli
Applied Mathematical Modelling 61, 29-48, 2018
142018
Efficient training of interval Neural Networks for imprecise training data
J Sadeghi, M De Angelis, E Patelli
Neural Networks 118, 338-351, 2019
132019
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
132017
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
102022
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
82019
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
82014
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
62019
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
62019
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
62018
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Articles 1–20