Nicola Pedroni

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A hierarchical tree-based decision-making approach for assessing the relative trustworthiness of risk assessment models

Enrico Zio, Tasneem Bani-Mustafa, Nicola Pedroni, 2020 .

Single and Ensemble Fault Classifiers Basedon Features Selected by Multi-Objective GeneticAlgorithms

Enrico Zio, Piero Baraldi, Nicola Pedroni, 2008 .

Empirical Comparison of Methods for the Hierarchical Propagation of Hybrid Uncertainty in Risk Assessment, in Presence of Dependences

Enrico Zio, Nicola Pedroni, E. Zio, 2012, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Analysis of the Robustness and Recovery of Critical Infrastructures by Goal Tree–Success Tree: Dynamic Master Logic Diagram, Within a Multistate System-of-Systems Framework, in the Presence of Epistemic Uncertainty

Enrico Zio, Nicola Pedroni, Elisa Ferrario, 2015 .

Seismic fragility analysis with artificial neural networks: Application to nuclear power plant equipment

Nicola Pedroni, Enrico Zio, Zhiyi Wang, 2018 .

Advanced Methods for the Risk, Vulnerability and Resilience Assessment of Safety-Critical Engineering Components, Systems and Infrastructures, in the presence of uncertainties

Nicola Pedroni, N. Pedroni, 2016 .

Integrated deterministic and probabilistic safety assessment of the cooling circuit of a superconducting magnet for nuclear fusion applications

Enrico Zio, Nicola Pedroni, Laura Savoldi, 2018 .

Application of metamodel-based techniques for the efficient seismic analysis of structural systems

Enrico Zio, Nicola Pedroni, Enrico Zio, 2015 .

Literature review of methods for representing uncertainty

Enrico Zio, Nicola Pedroni, E. Zio, 2013 .

Locally Recurrent Neural Networks for Nuclear Dynamics Modeling

Enrico Zio, Matteo Broggi, Nicola Pedroni, 2008 .

Artificial Neural Networks and quadratic Response Surfaces for the functional failure analysis of a thermal-hydraulic passive system

Enrico Zio, Nicola Pedroni, George E. Apostolakis, 2010 .

Building confidence in the reliability assessment of thermal-hydraulic passive systems

Enrico Zio, Nicola Pedroni, E. Zio, 2009, Reliab. Eng. Syst. Saf..

A Critical Discussion and Practical Recommendations on Some Issues Relevant to the Nonprobabilistic Treatment of Uncertainty in Engineering Risk Assessment

Enrico Zio, Nicola Pedroni, Alberto Pasanisi, 2017, Risk analysis : an official publication of the Society for Risk Analysis.

Possibilistic methods for uncertainty treatment applied to maintenance policy assessment

Enrico Zio, Nicola Pedroni, E. Zio, 2014 .

Quantitative functional failure analysis of a thermal-hydraulic passive system by means of bootstrapped Artificial Neural Networks

Enrico Zio, Nicola Pedroni, George E. Apostolakis, 2010 .

Uncertainty characterization in risk analysis for decision-making practice

Enrico Zio, Nicola Pedroni, E. Zio, 2012 .

Estimation of cascade failure probability in electrical transmission networks by Subset Simulation

Enrico Zio, Giovanni Sansavini, Nicola Pedroni, 2010 .

Subset Simulation of a reliability model for radioactive waste repository performance assessment

Enrico Zio, Diana Avram, Francesco Cadini, 2012, Reliab. Eng. Syst. Saf..

Failure and Reliability Predictions by Infinite Impulse Response Locally Recurrent Neural Networks

Enrico Zio, Matteo Broggi, Nicola Pedroni, 2012 .

Analysis of the Robustness of Critical Infrastructures within a Multistate Systems-of-Systems Framework in the Presence of Epistemic Uncertainties

Nicola Pedroni, Enrico Zio, Elisa Ferrario, 2014 .

Bayesian probabilistic analysis of a nuclear power plant small loss of coolant event tree model with possibilistic parameters

Enrico Zio, Nicola Pedroni, Lo Chung Kung, 2013 .

Predicting Reliability by Recurrent Neural Networks

Enrico Zio, Matteo Broggi, Nicola Pedroni, 2008 .

Optimization of Cascade‐Resilient Electrical Infrastructures and its Validation by Power Flow Modeling

Enrico Zio, Yiping Fang, Nicola Pedroni, 2015, Risk analysis : an official publication of the Society for Risk Analysis.

Dimensionality reduction of the resilience model of a critical infrastructure network by means of elementary effects sensitivity analysis

Enrico Zio, Nicola Pedroni, Enrico Zio, 2017 .

An empirical classification-based framework for the safety criticality assessment of energy production systems, in presence of inconsistent data

Enrico Zio, Vincent Mousseau, Nicola Pedroni, 2017, Reliab. Eng. Syst. Saf..

Evaluation of the robustness of critical infrastructures by Hierarchical Graph representation, clustering and Monte Carlo simulation

Enrico Zio, Nicola Pedroni, Elisa Ferrario, 2016, Reliab. Eng. Syst. Saf..

Advanced RESTART method for the estimation of the probability of failure of highly reliable hybrid dynamic systems

Enrico Zio, Nicola Pedroni, Pietro Turati, 2016, Reliab. Eng. Syst. Saf..

Comparing Network-Centric and Power Flow Models for the Optimal Allocation of Link Capacities in a Cascade-Resilient Power Transmission Network

Enrico Zio, Yiping Fang, Nicola Pedroni, 2017, IEEE Systems Journal.

Validation of Infinite Impulse Response Multilayer Perceptron for Modelling Nuclear Dynamics

Enrico Zio, Francesco Cadini, Nicola Pedroni, 2008 .

Reliability Estimation by Advanced Monte Carlo Simulation

Enrico Zio, Nicola Pedroni, E. Zio, 2010 .

Monte Carlo simulation-based sensitivity analysis of the model of a thermal-hydraulic passive system

Enrico Zio, Nicola Pedroni, E. Zio, 2012, Reliab. Eng. Syst. Saf..

Estimating the small failure probability of a nuclear passive safety system by means of an efficient Adaptive Metamodel-based Sampling method

Enrico Zio, Nicola Pedroni, 2015 .

Identification of the Postulated Initiating Events of Accidents Occurring in a Toroidal Field Magnet of the EU DEMO

Nicola Pedroni, Laura Savoldi, Roberto Zanino, 2019, Fusion Science and Technology.

Nuclear Dynamics Modelling by Recurrent Neural Networks (Chapter 24)

Enrico Zio, Francesco Cadini, Nicola Pedroni, 2008 .

Case studies in uncertainty propagation and importance measure assessment

Enrico Zio, Nicola Pedroni, 2013 .

A HIERARCHICAL TREE-BASED DECISION MAKING APPROACH FOR ASSESSING THE TRUSTWORTHINESS OF RISK ASSESSMENT MODELS

Enrico Zio, Tasneem Bani-Mustafa, Nicola Pedroni, 2017 .

Optimal power system generation scheduling by multi-objective genetic algorithms with preferences

Enrico Zio, Piero Baraldi, Nicola Pedroni, 2009, Reliab. Eng. Syst. Saf..

Functional failure analysis of a thermal-hydraulic passive system by means of Line Sampling

Enrico Zio, Nicola Pedroni, 2009, Reliab. Eng. Syst. Saf..

Resilience-Based Component Importance Measures for Critical Infrastructure Network Systems

Enrico Zio, Yiping Fang, Nicola Pedroni, 2016, IEEE Transactions on Reliability.

Chapter 24. Nuclear Dynamics Modelling by Recurrent Neural Networks

Enrico Zio, Francesco Cadini, Nicola Pedroni, 2008 .

Sensitivity analysis of the model of a nuclear passive system by means of Subset Simulation

Enrico Zio, Nicola Pedroni, E. Zio, 2010 .

Bootstrapped Artificial Neural Networks for the seismic analysis of structural systems

Nicola Pedroni, Enrico Zio, Elisa Ferrario, 2017 .

Assessing the Performance of a Classification-Based Vulnerability Analysis Model.

Enrico Zio, Vincent Mousseau, Nicola Pedroni, 2015, Risk analysis : an official publication of the Society for Risk Analysis.

Identification of protective actions to reduce the vulnerability of safety-critical systems to malevolent acts: A sensitivity-based decision-making approach

Enrico Zio, Nicola Pedroni, Tai-Ran Wang, 2016, Reliab. Eng. Syst. Saf..

An Adaptive Metamodel-Based Subset Importance Sampling approach for the assessment of the functional failure probability of a thermal-hydraulic passive system

Nicola Pedroni, Enrico Zio, E. Zio, 2017 .

Estimation of the Functional Failure Probability of a Thermal Hydraulic Passive System by Subset Simulation

Enrico Zio, Nicola Pedroni, E. Zio, 2009 .

MODELLING THE DYNAMICS OF THE LEAD BISMUTH EUTECTIC EXPERIMENTAL ACCELERATOR DRIVEN SYSTEM BY AN INFINITE IMPULSE RESPONSE LOCALLY RECURRENT NEURAL NETWORK

Enrico Zio, Matteo Broggi, Nicola Pedroni, 2009 .

Feature Selection for Transients Classification by a Niched Pareto Genetic Algorithm

Enrico Zio, Piero Baraldi, Nicola Pedroni, 2006 .

Failure and Reliability Predictions by Locally Recurrent Neural Networks

Enrico Zio, Matteo Broggi, Nicola Pedroni, 2012 .

Hybrid Uncertainty and Sensitivity Analysis of the Model of a Twin-Jet Aircraft

Enrico Zio, Nicola Pedroni, 2015, J. Aerosp. Inf. Syst..

Simulation-based exploration of high-dimensional system models for identifying unexpected events

Enrico Zio, Nicola Pedroni, Pietro Turati, 2017, Reliab. Eng. Syst. Saf..

Optimal Capacity Allocation for a Failure Resilient Electrical Infrastructure

Enrico Zio, Nicola Pedroni, Yi-Ping Fang, 2014 .

An entropy-driven method for exploring extreme and unexpected accident scenarios in the risk assessment of dynamic engineered systems

Enrico Zio, Nicola Pedroni, Pietro Turati, 2015 .

Comparison of bootstrapped artificial neural networks and quadratic response surfaces for the estimation of the functional failure probability of a thermal-hydraulic passive system

Enrico Zio, Nicola Pedroni, George E. Apostolakis, 2010, Reliab. Eng. Syst. Saf..

An Adaptive Simulation Framework for the Exploration of Extreme and Unexpected Events in Dynamic Engineered Systems

Enrico Zio, Nicola Pedroni, Pietro Turati, 2017, Risk analysis : an official publication of the Society for Risk Analysis.

Representing and Modeling Uncertainty in the Risk Assessment of Engineering Systems

Nicola Pedroni, 2012 .

Subset Simulation and Line Sampling for Advanced Monte Carlo Reliability Analysis

Enrico Zio, Nicola Pedroni, E. Zio, 2009 .

Dynamic Systems Modelling by Locally Recurrent Neural Networks

Enrico Zio, Francesco Cadini, Nicola Pedroni, 2007 .

Overview of risk-informed decision-making processes

Enrico Zio, Nicola Pedroni, E. Zio, 2012 .

How to effectively compute the reliability of a thermal–hydraulic nuclear passive system

Enrico Zio, Nicola Pedroni, Enrico Zio, 2011 .

A Memetic Evolutionary Multi-Objective Optimization Method for Environmental Power Unit Commitment

Enrico Zio, Yan-Fu Li, Nicola Pedroni, 2013, IEEE Transactions on Power Systems.

Knowledge‐driven System Simulation for Scenario Analysis in Risk Assessment

Enrico Zio, Nicola Pedroni, Pietro Turati, 2018 .

Adaptive artificial neural networks for seismic fragility analysis

Enrico Zio, Nicola Pedroni, Zhiyi Wang, 2017, 2017 2nd International Conference on System Reliability and Safety (ICSRS).

Comparing Topological and Physical Approaches to Network Modeling for the Optimization of Failure-Resilient Electrical Infrastructures

Enrico Zio, Yiping Fang, Nicola Pedroni, 2014 .

Integrated deterministic and probabilistic safety assessment of a superconducting magnet cryogenic cooling circuit for nuclear fusion applications

Enrico Zio, Nicola Pedroni, Laura Savoldi, 2020, Reliab. Eng. Syst. Saf..

Monte Carlo and fuzzy interval propagation of hybrid uncertainties on a risk model

Enrico Zio, Piero Baraldi, Nicola Pedroni, 2011 .

Estimating the small failure probability of a nuclear passive safety system by means of an efficient Adaptive Metamodel-Based Subset Importance Sampling method

Enrico Zio, Nicola Pedroni, 2015 .

An optimized Line Sampling method for the estimation of the failure probability of nuclear passive systems

Enrico Zio, Nicola Pedroni, 2010, Reliab. Eng. Syst. Saf..

Estimation of the failure probability of a thermal-hydraulic passive system by means of Artificial Neural Networks and quadratic Response Surfaces

Enrico Zio, Nicola Pedroni, George E. Apostolakis, 2010 .

Application of a niched Pareto genetic algorithm for selecting features for nuclear transients classification

Enrico Zio, Piero Baraldi, Nicola Pedroni, 2009, Int. J. Intell. Syst..

Advanced Monte Carlo Methods and Applications

Enrico Zio, Francesco Cadini, Nicola Pedroni, 2017 .

Reliability Analysis of Discrete Multi-State Systems by Means of Subset Simulation

Enrico Zio, Nicola Pedroni, 2009 .

Identification of LOFA precursors in ITER superconducting magnet cryogenic cooling circuit

Enrico Zio, R. Zanino, Nicola Pedroni, 2021, Reliab. Eng. Syst. Saf..

Metamodeling and On-Line Clustering for Loss-of-Flow Accident Precursors Identification in a Superconducting Magnet Cryogenic Cooling Circuit

Enrico Zio, Nicola Pedroni, Laura Savoldi, 2021, Energies.

A Bayesian framework of inverse uncertainty quantification with principal component analysis and Kriging for the reliability analysis of passive safety systems

Enrico Zio, Nicola Pedroni, Francesco Di Maio, 2021 .

Reliability Assessment of Passive Safety Systems for Nuclear Energy Applications: State-of-the-Art and Open Issues

Enrico Zio, Luciano Burgazzi, Nicola Pedroni, 2021, Energies.

A Framework based on Finite Mixture Models and Adaptive Kriging for Characterizing Non-Smooth and Multimodal Failure Regions in a Nuclear Passive Safety System

Enrico Zio, Nicola Pedroni, Francesco Di Maio, 2021, Reliab. Eng. Syst. Saf..

Monte Carlo and fuzzy interval propagation of hybrid uncertainties on a risk model for the design of a flood protection dike

Enrico Zio, Piero Baraldi, Nicola Pedroni, 2012 .

TREATING UNCERTAINTIES IN A NUCLEAR SEISMIC PROBABILISTIC RISK ASSESSMENT BY MEANS OF THE DEMPSTER-SHAFER THEORY OF EVIDENCE

Enrico Zio, Nicola Pedroni, Chung-Kung Lo, 2014 .

Hierarchical propagation of probabilistic and non-probabilistic uncertainty in the parameters of a risk model

Enrico Zio, E. Ferrario, Nicola Pedroni, 2013 .

Simulating the dynamics of the neutron flux in a nuclear reactor by locally recurrent neural networks

Enrico Zio, Francesco Cadini, Nicola Pedroni, 2007 .

Optimal production facility allocation for failure resilient critical infrastructures

Enrico Zio, Yiping Fang, Nicola Pedroni, 2014 .

Propagation of aleatory and epistemic uncertainties in the model for the design of a flood protection dike

Enrico Zio, Nicola Pedroni, Alberto Pasanisi, 2012 .

Analysis of a Protected Loss of Flow Accident (LOFA) in the ITER TF Coil Cooling Circuit

Nicola Pedroni, Laura Savoldi, Roberto Zanino, 2018, IEEE Transactions on Applied Superconductivity.