Genetic Programming Bibliography entries for Davide Ferrari

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GP coauthors/coeditors: Veronica Guidetti, Vasa Curcin, Yanzhong Wang, Federica Mandreoli, Pietro Arina, Jonathan Edgeworth, Giovanni Dolci, Erica Franceschini, Erica Bacca, Giulia Jole Burastero, Valentina Serra, Fabrizio Di Benedetto, Cristina Mussini,

Genetic Programming Articles by Davide Ferrari

• Davide Ferrari and Pietro Arina and Jonathan Edgeworth and Vasa Curcin and Veronica Guidetti and Federica Mandreoli and Yanzhong Wang. Using interpretable machine learning to predict bloodstream infection and antimicrobial resistance in patients admitted to ICU: Early alert predictors based on EHR data to guide antimicrobial stewardship. PLOS Digital Health, 3(10):e0000641, 2024. details

Genetic Programming conference papers by Davide Ferrari

• Veronica Guidetti and Giovanni Dolci and Erica Franceschini and Erica Bacca and Giulia Jole Burastero and Davide Ferrari and Valentina Serra and Fabrizio Di Benedetto and Cristina Mussini and Federica Mandreoli. Death After Liver Transplantation: Mining Interpretable Risk Factors for Survival Prediction. In 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), 2023. details

• Davide Ferrari and Veronica Guidetti and Federica Mandreoli. Multi-Objective Symbolic Regression for Data-Driven Scoring System Management. In 2022 IEEE International Conference on Data Mining (ICDM), pages 945-950, Orlando, FL, USA, 2022. details

• Davide Ferrari and Veronica Guidetti and Vasa Curcin and Yanzhong Wang. Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art. In American Medical Informatics Association Annual Symposium, AMIA 2022, Washington, DC, USA, 2022. AMIA. details