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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Data Driven Theory
Showing all 3 results
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Evolutionary computation (Online) pp. 1 - 31 Year: 2023 DOI: 10.1162/evco_a_00330
Upgrades of Genetic Programming for Data Driven Modelling of Time Series
Murari A.; Peluso E.; Spolladore L.; Rossi R.; Gelfusa M. -
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. -
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
