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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Symbolic regression
Showing all 9 results
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Information sciences 644 pp. 119243-1 - 119243-14 Year: 2023 DOI: 10.1016/j.ins.2023.119243
Combining dimensional and statistical analysis for efficient data driven modelling of complex systems
Murari A.; Spolladore L.; Rossi R.; Gelfusa M. -
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 (Dordr., Online) pp. 1 - 37 Year: 2022 DOI: 10.1007/s10462-022-10320-3
Combining neural computation and genetic programming for observational causality detection and causal modelling
Murari A.; Rossi R.; Gelfusa M. -
Applied sciences 12 (6), pp. 2862-1 - 2862-20 Year: 2022 DOI: 10.3390/app12062862
Considerations on Stellarator’s Optimization from the Perspective of the Energy Confinement Time Scaling Laws
Murari A.; Peluso E.; Spolladore L.; Vega J.; Gelfusa M. -
Plasma physics and controlled fusion (Print) 64 (2), pp. 024002-1 - 024002-12 Year: 2022 DOI: 10.1088/1361-6587/ac3ded
Frontiers in data analysis methods: from causality detection to data driven experimental design
Murari, A.; Peluso, E.; Craciunescu, T.; Dormido-Canto, S.; Lungaroni, M.; Rossi, R.; Spolladore, L.; Vega, J.; 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. -
Nuclear fusion (Online) 61 (9), pp. 096036-1 - 096036-12 Year: 2021 DOI: 10.1088/1741-4326/ac0cbb
Scaling laws of the energy confinement time in stellarators without renormalization factors
Murari A.; Peluso E.; Vega J.; Garcia-Regana J.M.; Velasco J.L.; Fuchert G.; 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 -
Nuclear fusion (Online) pp. 1 - 20 Year: 2019
A New Approach to the Planning of New Experiments based on Learning in Non-Stationary Conditions
Murari A.; Lungaroni M.; Peluso E.; Gelfusa M.; Craciunescu T.; JET Contributors
