Uncertainty Management in Multidisciplinary Design of Critical Safety Systems. - Edoardo Patelli; Diego A. Alvarez; Matteo Broggi; Marco de Angelis 002 (J. Aerosp. Inf. Syst., 2015)

Low-Cost Battery Monitoring by Converter-Based Electrochemical Impedance Spectroscopy. - Roberto Ferrero; Chao Wu; Alberto Carboni; Sergio Toscani; Marco de Angelis 002; Hindolo George-Williams; Edoardo Patelli; Paolo Attilio Pegoraro (AMPS, 2017)

Challenges and Solutions for Enhancing Agriculture Value Chain Decision-Making. A Short Review. - Jorge E. Hernández; Janusz Kacprzyk; Hervé Panetto; Alejandro Fernández; Shaofeng Liu 001; Ángel Ortiz Bas; Marco de Angelis 002 (PRO-VE, 2017)

Efficient training of interval Neural Networks for imprecise training data. - Jonathan Sadeghi; Marco de Angelis 002; Edoardo Patelli (Neural Networks, 2019)

Forward interval propagation through the Fourier discrete transform. - Marco de Angelis 002; Marco Behrendt; Liam A. Comerford; Yuanjin Zhang; Michael Beer (CoRR, 2020)

Constructing Consonant Predictive Beliefs from Data with Scenario Theory. - Marco de Angelis 002; Roberto Rocchetta; Ander Gray; Scott Ferson (ISIPTA, 2021)

Dependent Possibilistic Arithmetic using Copulas. - Ander Gray; Dominik Hose; Marco de Angelis 002; Michael Hanss; Scott Ferson (ISIPTA, 2021)

Digital Twin Operational Platform for Connectivity and Accessibility using Flask Python. - Matthew S. Bonney; Marco de Angelis 002; David J. Wagg; Mattia Dal Borgo (MoDELS (Companion), 2021)

The Creation of Puffin, the Automatic Uncertainty Compiler. - Nicholas Gray; Marco de Angelis 002; Scott Ferson (CoRR, 2021)

Computing with confidence. - Scott Ferson; Marco de Angelis 002 (Int. J. Approx. Reason., 2021)

Exact bounds on the amplitude and phase of the interval discrete Fourier transform in polynomial time. - Marco de Angelis 002 (CoRR, 2022)

Probability bounds analysis for Python. - Nicholas Gray; Scott Ferson; Marco de Angelis 002; Ander Gray; Francis J. Baumont De Oliveira (Softw. Impacts, 2022)

Towards an automatic uncertainty compiler. - Nicholas Gray; Marco de Angelis 002; Scott Ferson (Int. J. Approx. Reason., 2023)