ARTICOLI SU RIVISTA
  • Alfieri, F.; Ancona, A.; Tripepi, G.; Randazzo, V.; Paviglianiti, A.; Pasero, E.; Vecchi, L.; Politi, C.; Cauda, V.; Fagugli, R. M., “External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients”, Jn. Journal of Nephrology, DOI: http://dx.doi.org/10.1007/s40620-022-01335-8
  • E.Pasero, G.Raimondo, “MULP: a Multi-Layer Perceptron application to long-term, out-of-sample time series prediction”, International Journal of Forecasting.