Andrea Murari
Orcid: 0000-0002-3932-3865
According to our database1,
Andrea Murari
authored at least 39 papers
between 1999 and 2023.
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Bibliography
2023
A practical utility-based but objective approach to model selection for regression in scientific applications.
Artif. Intell. Rev., November, 2023
Combining dimensional and statistical analysis for efficient data driven modelling of complex systems.
Inf. Sci., October, 2023
Information theoretic and neural computational tools for meta-analysis of cumulative databases in the age of Big Physics experiments.
Neural Comput. Appl., 2023
Evol. Comput., 2023
Combining neural computation and genetic programming for observational causality detection and causal modelling.
Artif. Intell. Rev., 2023
2022
Complexity: Frontiers in Data-Driven Methods for Understanding, Prediction, and Control of Complex Systems 2022 on the Development of Information Theoretic Model Selection Criteria for the Analysis of Experimental Data.
Complex., 2022
A systemic approach to classification for knowledge discovery with applications to the identification of boundary equations in complex systems.
Artif. Intell. Rev., 2022
2021
NetCausality: A time-delayed neural network tool for causality detection and analysis.
SoftwareX, 2021
Improved Treatment of the Independent Variables for the Deployment of Model Selection Criteria in the Analysis of Complex Systems.
Entropy, 2021
Complex., 2021
Alternative Definitions of Complexity for Practical Applications of Model Selection Criteria.
Complex., 2021
2020
Upgrading Model Selection Criteria with Goodness of Fit Tests for Practical Applications.
Entropy, 2020
On the Potential of Time Delay Neural Networks to Detect Indirect Coupling between Time Series.
Entropy, 2020
A Refinement of Recurrence Analysis to Determine the Time Delay of Causality in Presence of External Perturbations.
Entropy, 2020
Quantifying Total Influence between Variables with Information Theoretic and Machine Learning Techniques.
Entropy, 2020
Image-Based Methods to Investigate Synchronization between Time Series Relevant for Plasma Fusion Diagnostics.
Entropy, 2020
2019
Entropy, 2019
Geodesic Distance on Gaussian Manifolds to Reduce the Statistical Errors in the Investigation of Complex Systems.
Complex., 2019
2018
On the Use of Transfer Entropy to Investigate the Time Horizon of Causal Influences between Signals.
Entropy, 2018
Improving Entropy Estimates of Complex Network Topology for the Characterization of Coupling in Dynamical Systems.
Entropy, 2018
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
2017
Detection of Causal Relations in Time Series Affected by Noise in Tokamaks Using Geodesic Distance on Gaussian Manifolds.
Entropy, 2017
Deriving Realistic Mathematical Models from Support Vector Machines for Scientific Applications.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017
Complex networks for the analysis of the synchronization of time series relevant for plasma fusion diagnostics.
Proceedings of the 2017 European Conference on Circuit Theory and Design, 2017
Proceedings of the 2017 European Conference on Circuit Theory and Design, 2017
2016
Review of disruption predictors in nuclear fusion: Classical, from scratch and anomaly detection approaches.
Proceedings of the IECON 2016, 2016
A Metric to Improve the Robustness of Conformal Predictors in the Presence of Error Bars.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016
2015
Simulations of nuclear fusion diagnostics based on projections with Venn predictors and context drift detection.
Ann. Math. Artif. Intell., 2015
Preliminary numerical investigations of conformal predictors based on fuzzy logic classifiers.
Ann. Math. Artif. Intell., 2015
How to Handle Error Bars in Symbolic Regression for Data Mining in Scientific Applications.
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015
2012
Identification of Confinement Regimes in Tokamak Plasmas by Conformal Prediction on a Probabilistic Manifold.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012
Proceedings of the Artificial Intelligence Applications and Innovations, 2012
2009
IEEE Trans. Instrum. Meas., 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
2008
An automatic identifier of Confinement Regimes at JET combining Fuzzy Logic and Classification Trees.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
2005
IEEE Trans. Instrum. Meas., 2005
2003
Signal processing and calibration electronics for the SXR tomographic diagnostic of the RFX fusion experiment.
IEEE Trans. Instrum. Meas., 2003
1999
IEEE Trans. Instrum. Meas., 1999