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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ensembles of classifiers
Showing all 2 results
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Nuclear fusion 61 (3), pp. 036027-1 - 036027-20 Year: 2021 DOI: 10.1088/1741-4326/abc9f3
Stacking of predictors for the automatic classification of disruption types to optimize the control logic
Murari, A.; Rossi, R.; Lungaroni, M.; Baruzzo, M.; Gelfusa, M. -
Nuclear fusion (Online) 59 (8), pp. 086037-1 - 086037-11 Year: 2019 DOI: 10.1088/1741-4326/ab1ecc
Adaptive learning for disruption prediction in non-stationary conditions
Murari A.; Lungaroni M.; Gelfusa M.; Peluso E.; Vega J.
