In a world increasingly facing new challenges at the forefront of plasma scientific research and technological innovation, CNR and ISTP pledge progress and achieve an impact in the integration of research into societal practices and policy
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knowledge discovery
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Artificial intelligence review 55 (1), pp. 254 - 289 Year: 2022 DOI: 10.1007/s10462-021-10032-0
A systemic approach to classification for knowledge discovery with applications to the identification of boundary equations in complex systems
Murari A; Gelfusa M.; Lungaroni M.; Gauio P.; Peluso E. -
Scientific reports (Nature Publishing Group) 10 (1), pp. 19858-1 - 19858-10 Year: 2020 DOI: 10.1038/s41598-020-76826-4
Data driven theory for knowledge discovery in the exact sciences with applications to thermonuclear fusion
Murari A.; Peluso E.; Lungaroni M.; Gaudio P.; Vega J.; Gelfusa M. -
Applied sciences 10 (19), pp. 1 - 22 Year: 2020 DOI: 10.3390/app10196683
Investigating the Physics of Tokamak Global Stability with Interpretable Machine Learning Tools
Murari Andrea; Peluso Emmanuele; Lungaroni Michele; Rossi Riccardo; Gelfusa Michela; JET Contributors
