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Umberto Scafuri
National Research Council (CNR) - High Performance Computing and Networking Institute
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SCHOLARLY PAPERS
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Scholarly Papers (1)
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1.
Reducing High-Risk Glucose Forecasting Errors by Evolving Interpretable Models for Type 1 Diabetes
Number of pages: 33
Posted: 08 Sep 2022
Antonio Della Cioppa
,
Ivanoe De Falco
,
Tomas Koutny
, Umberto Scafuri,
Martin Ubl
and
Ernesto Tarantino
University of Salerno - NCLab, DIEM, National Research Council (CNR) - High Performance Computing and Networking Institute, University of West Bohemia, National Research Council (CNR) - High Performance Computing and Networking Institute, University of West Bohemia and National Research Council (CNR) - High Performance Computing and Networking Institute
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Abstract:
Glucose forecasting, evaluation metrics, Grammatical Evolution, symbolic regression
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