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ORCIDMichele Lungaroni
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2020 – today
- 2023
[j8]Andrea Murari, Riccardo Rossi
, Luca Spolladore, Michele Lungaroni, Pasquale Gaudio, Michela Gelfusa:
A practical utility-based but objective approach to model selection for regression in scientific applications. Artif. Intell. Rev. 56(S2): 2825-2859 (2023)- [j7]Andrea Murari, Michele Lungaroni, Luca Spolladore, Emmanuele Peluso, Riccardo Rossi, Michela Gelfusa:
Information theoretic and neural computational tools for meta-analysis of cumulative databases in the age of Big Physics experiments. Neural Comput. Appl. 35(1): 469-486 (2023) - 2022
- [j6]Andrea Murari, Michela Gelfusa, Michele Lungaroni, Pasquale Gaudio, Emmanuele Peluso:
A systemic approach to classification for knowledge discovery with applications to the identification of boundary equations in complex systems. Artif. Intell. Rev. 55(1): 255-289 (2022) - [j5]Andrea Murari, Michele Lungaroni, Riccardo Rossi, Luca Spolladore, Michela Gelfusa:
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: 9518303:1-9518303:12 (2022) - 2020
- [j4]Andrea Murari, Riccardo Rossi, Michele Lungaroni, Pasquale Gaudio, Michela Gelfusa:
Quantifying Total Influence between Variables with Information Theoretic and Machine Learning Techniques. Entropy 22(2): 141 (2020)
2010 – 2019
- 2019
- [j3]Michele Lungaroni, Andrea Murari, Emmanuele Peluso, Pasqualino Gaudio, Michela Gelfusa:
Geodesic Distance on Gaussian Manifolds to Reduce the Statistical Errors in the Investigation of Complex Systems. Complex. 2019: 5986562:1-5986562:24 (2019) - [j2]Andrea Murari, Emmanuele Peluso, Francesco Cianfrani, Pasquale Gaudio, Michele Lungaroni:
On the Use of Entropy to Improve Model Selection Criteria. Entropy 21(4): 394 (2019) - 2018
- [j1]Andrea Murari, Michele Lungaroni, Emmanuele Peluso, Pasquale Gaudio, Ernesto Lerche, Luca Garzotti, Michela Gelfusa, J. E. T. Contributors:
On the Use of Transfer Entropy to Investigate the Time Horizon of Causal Influences between Signals. Entropy 20(9): 627 (2018) - 2017
- [c4]Teddy Craciunescu, Andrea Murari, Emmanuele Peluso, Michela Gelfusa, Michele Lungaroni, Pasqualino Gaudio:
Complex networks for the analysis of the synchronization of time series relevant for plasma fusion diagnostics. ECCTD 2017: 1-4 - [c3]Andrea Murari, Emmanuele Peluso, Saeed Talebzadeh, Pasqualino Gaudio, Michele Lungaroni, Ondrej Mikulin, Jesús Vega, Michela Gelfusa:
Deriving Realistic Mathematical Models from Support Vector Machines for Scientific Applications. KDIR 2017: 102-113 - 2016
- [c2]Andrea Murari, Saeed Talebzadeh, Jesús Vega, Emmanuele Peluso, Michela Gelfusa, Michele Lungaroni, Pasqualino Gaudio:
A Metric to Improve the Robustness of Conformal Predictors in the Presence of Error Bars. COPA 2016: 105-115 - 2015
- [c1]Andrea Murari, Emmanuele Peluso, Michela Gelfusa, Michele Lungaroni, Pasqualino Gaudio:
How to Handle Error Bars in Symbolic Regression for Data Mining in Scientific Applications. SLDS 2015: 347-355
Coauthor Index
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