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Sunny, Jaleena and de Angelis, Marco and Edwards, Benjamin (2024) Regionally adjusted stochastic earthquake ground motion models, associated variabilities and epistemic uncertainties. Journal of Seismology. ISSN 1573-157X

Gray, Nicholas and de Angelis, Marco and Ferson, Scott (2023) Towards an automatic uncertainty compiler. International Journal of Approximate Reasoning, 160. 108951. ISSN 0888-613X

De Angelis, Marco and Gray, Ander (2023) Verified bounds on the imprecise failure probability with the SIVIA algorithm. In: 13th International Symposium on Imprecise Probabilities: Theories and Applications, 2023-07-11 - 2023-07-14, Universidad de Oviedo.

Behrendt, Marco and de Angelis, Marco and Beer, Michael (2023) Uncertainty propagation of missing data signals with the interval discrete Fourier transform. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 9 (3). 04023022. ISSN 2376-7642

Gray, Ander and De Angelis, Marco and Patelli, Edoardo and Ferson, Scott (2023) Bivariate dependency tracking in interval arithmetic. Mechanical Systems and Signal Processing, 186. p. 109771. 109771. ISSN 0888-3270

de Angelis, Marco and Gray, Ander and Ferson, Scott and Patelli, Edoardo (2023) Robust online updating of a digital twin with imprecise probability. Mechanical Systems and Signal Processing, 186. 109877. ISSN 0888-3270

Bonney, Matthew S. and de Angelis, Marco and Dal Borgo, Mattia and Wagg, David J. (2023) Contextualisation of information in digital twin processes. Mechanical Systems and Signal Processing, 184. 109657. ISSN 0888-3270

De Angelis, Marco and Gray, Ander (2022) Why the 1-Wasserstein distance is the area between the two marginal CDFs. Preprint / Working Paper. arXiv, Ithaca, New York.

de Angelis, Marco and Gray, Ander; Leva, Maria Chiara and Patelli, Edoardo and Podofillini, Luca and Wilson, Simon, eds. (2022) Bounding failure probability with the SIVIA algorithm. In: Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022). Research Publishing, IRL, pp. 2570-2577.

Behrendt, Marco and de Angelis, Marco and Comerford, Liam and Beer, Michael; (2022) Assessing the severity of missing data problems with the interval discrete Fourier transform algorithm. In: Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022). Research Publishing, IRL, pp. 2553-2560. ISBN 9789811851834

Miralles-Dolz, Enrique and Gray, Ander and de Angelis, Marco and Patelli, Edoardo; (2022) Interval-based global sensitivity analysis for epistemic uncertainty. In: Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022). Research Publishing, IRL, pp. 2545-2552.

Behrendt, Marco and de Angelis, Marco and Comerford, Liam and Zhang, Yuanjin and Beer, Michael (2022) Projecting interval uncertainty through the discrete Fourier transform : an application to time signals with poor precision. Mechanical Systems and Signal Processing, 172. 108920. ISSN 0888-3270

Gray, Nicholas and Ferson, Scott and de Angelis, Marco and Gray, Ander and de Oliveira, Fracis Baumont (2022) Probability bounds analysis for Python. Software Impacts, 12. 100246. ISSN 2665-9638

de Angelis, M. (2022) Exact bounds on the amplitude and phase of the interval discrete Fourier transform in polynomial time. Preprint / Working Paper. arXiv, Ithaca, NY.

de Angelis, M. and Sunny, J. (2022) Code for stochastic area metric : binary search for speed. GitHub.

de Angelis, M. (2022) intervals. Zenodo.

Gray, A. and Wimbush, A. and de Angelis, M. and Hristov, P.O. and Calleja, D. and Miralles-Dolz, E. and Rocchetta, R. (2022) From inference to design : a comprehensive framework for uncertainty quantification in engineering with limited information. Mechanical Systems and Signal Processing, 165. 108210. ISSN 0888-3270

Bonney, Matthew S. and de Angelis, Marco and Dal Borgo, Mattia and Andrade, Luis and Beregi, Sandor and Jamia, Nidhal and Wagg, David J. (2022) Development of a digital twin operational platform using Python Flask. Data-Centric Engineering, 3 (1). e1. ISSN 2632-6736

Bonney, Matthew S. and de Angelis, Marco and Wagg, David and Dal Borgo, Mattia; (2021) Digital twin operational platform for connectivity and accessibility using flask python. In: 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, Piscataway. N.J., pp. 239-243. ISBN 9781665424844

Sunny, Jaleena and De Angelis, Marco and Edwards, Benjamin (2021) Ranking and selection of earthquake ground-motion models using the stochastic area metric. Seismological Research Letters. 787–797. ISSN 1938-2057

Ferson, Scott and De Angelis, Marco (2021) Computing with confidence. International Journal of Approximate Reasoning, 137. pp. 67-68. ISSN 0888-613X

de Angelis, Marco and Rocchetta, Roberto and Gray, Ander and Ferson, Scott (2021) Constructing consonant predictive beliefs from data with scenario theory. Proceedings of Machine Learning Research, 147. pp. 357-360. ISSN 2640-3498

de Angelis, Marco and Behrendt, Marco and Comerford, Liam and Zhang, Yuanjin and Beer, Michael; Sofi, Alba and Muscolino, Giuseppe and Muhanna, Rafi L., eds. (2021) Forward interval propagation through the discrete Fourier transform. In: REC 2021. Risk and Uncertainty in Engineering Computations (REC), [S.I.], pp. 39-52.

Gray, Ander and de Angelis, Marco and Ferson, Scott and Patelli, Edoardo (2021) What’s Z−X, when Z = X+Y? Dependency tracking in interval arithmetic with bivariate sets. In: 9th International Workshop on Reliable Engineering Computing, 2021-05-17 - 2021-05-20, Virtual Conference.

Lye, Adolphus and de Angelis, Marco and Patelli, Edoardo (2020) Bayesian regression over sparse fatigue crack growth data for nuclear piping. In: Modelling in Nuclear Science and Engineering Seminar 2020, 2020-11-04 - 2020-11-05, Virtual.

Gray, Nicholas and Calleja, Dominic and Wimbush, Alexander and Miralles-Dolz, Enrique and Gray, Ander and De Angelis, Marco and Derrer-Merk, Elfriede and Oparaji, Bright Uchenna and Stepanov, Vladimir and Clearkin, Louis and Ferson, Scott (2020) Is "no test is better than a bad test"? Impact of diagnostic uncertainty in mass testing on the spread of COVID-19. PLoS ONE, 16 (2). e0247129. ISSN 1932-6203

Sadeghi, Jonathan and de Angelis, Marco and Patelli, Edoardo (2020) Analytic probabilistic safety analysis under severe uncertainty. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 6 (1). 04019019. ISSN 2376-7642

Sadeghi, Jonathan and de Angelis, Marco and Patelli, Edoardo (2020) Robust propagation of probability boxes by interval predictor models. Structural Safety, 82. 101889. ISSN 0167-4730

Faes, Matthias and Sadeghi, Jonathan and Broggi, Matteo and Angelis, Marco de and Patelli, Edoardo and Beer, Michael and Moens, David (2019) On the robust estimation of small failure probabilities for strong non-linear models. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B - Mechanical Engineering, 5 (4). 041007. ISSN 2332-9025

Estrada-Lugo, Hector Diego and Tolo, Silvia and De Angelis, Marco and Patelli, Edoardo (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). 041010. ISSN 2332-9025

Sadeghi, Jonathan and de Angelis, M. and Patelli, Edoardo (2019) Efficient training of interval neural networks for imprecise training data. Neural Networks, 118. pp. 338-351. ISSN 0893-6080

Estrada-Lugo, Hector Diego and De Angelis, Marco and Patelli, Edoardo (2019) Probabilistic risk assessment of fire occurrence in residential buildings : application to the Grenfell tower. In: 13th International Conference on Applications of Statistics and Probability in Civil Engineering, 2019-05-26 - 2019-05-30.

de Angelis, M. and Ricciardi, V. and Dalmau, E. (2018) Uncertainty estimation of road-dust emissions via interval statistics. Journal of Physics: Conference Series, 1065 (21). 212023. ISSN 1742-6588

Sadeghi, Jonathan and Angelis, Marco De and Patelli, Edoardo (2018) Frequentist history matching with interval predictor models. Applied Mathematical Modelling, 61. pp. 29-48. ISSN 0307-904X

Sadeghi, Jonathan C, and De Angelis, Marco and Patelli, Edoardo (2018) Efficient training of neural networks with interval uncertainty. In: 8th International Workshop on Reliable Computing, 2018-07-16 - 2018-07-18, Institute for Risk and Uncertainty, University of Liverpool.

Estrada-Lugo, H.D. and Patelli, E. and de Angelis, M. and Raj, Daniel D.; Haugen, Stein and Barros, Anne and van Gulijk, Coen and Kongsvik, Trond and Vinnem, Jan Erik, eds. (2018) Bayesian networks with imprecise datasets : application to oscillating water column. In: Safety and Reliability - Safe Societies in a Changing World. CRC Press/Balkema, NOR, pp. 2611-2618. ISBN 9780815386827

Patelli, E. and de Angelis, M.; Haugen, Stein and Barros, Anne and van Gulijk, Coen and Kongsvik, Trond and Vinnem, Jan Erik, eds. (2018) An efficient computational strategy for robust maintenance scheduling : application to corroded pipelines. In: Safety and Reliability - Safe Societies in a Changing World. CRC Press/Balkema, NOR, pp. 2201-2209. ISBN 9780815386827

Sadeghi, J. and de Angelis, M. and Patelli, E. and Prinja, N.K. (2018) Efficient computational structural reliability analysis of concrete containments. In: 2nd International Conference on Nuclear Power Plants, 2018-06-11 - 2018-06-12, Croydon.

Sadeghi, J. and De Angelis, M. and Patelli, E. (2018) Analytic imprecise-probabilistic structural reliability analysis. In: ANS Best Estimate Plus Uncertainty International Conference (BEPU 2018), 2018-05-13 - 2018-05-19, Real Collegio.

Altieri, Domenico and Tubaldi, Enrico and de Angelis, Marco and Patelli, Edoardo and Dall’Asta, Andrea (2018) Reliability-based optimal design of nonlinear viscous dampers for the seismic protection of structural systems. Bulletin of Earthquake Engineering, 16 (2). pp. 963-982. ISSN 1573-1456

Ferrero, R. and Wu, C. and Carboni, A. and Toscani, S. and De Angelis, M. and George-Williams, H. and Patelli, E. and Pegoraro, P. A.; (2017) Low-cost battery monitoring by converter-based electrochemical impedance spectroscopy. In: 2017 IEEE International Workshop on Applied Measurements for Power Systems (AMPS). IEEE International Workshop on Applied Measurements for Power Systems (AMPS) . IEEE, GBR. ISBN 9781538603437

Hernandez, J.E. and Kacprzyk, J. and Panetto, H. and Fernandez, A. and Liu, S. and Ortiz, A. and De Angelis, M. (2017) Challenges and solutions for enhancing agriculture value chain decision-making. A short review. In: PRO-VE 2017 : Working Conference on Virtual Enterprises, 2017-09-18 - 2017-09-20.

Angelis, Marco De and Patelli, Edoardo and Beer, Michael; Zio, Enrico and Podofillini, Luca and Kröger, Wolfgang and Sudret, Bruno and Stojadinović, Božidar, eds. (2015) Robust design of inspection schedules by means of probability boxes for structural systems prone to damage accumulation. In: Safety and Reliability of Complex Engineered Systems - Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015. Safety and Reliability of Complex Engineered Systems - Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015 . CRC Press/Balkema, SWZ, pp. 2733-2741. ISBN 9781138028791