Prostate Cancer Disease Study by Integrating Peptides and Clinical Data. - Patrizia Vizza; Luigi Pascuzzi; Federica Aracri; Elmiro Tavolaro; Pasquale Lambardi; Marco Gaspari; Pietro Hiram Guzzi; Giuseppe Tradigo; Pierangelo Veltri (AAI4H@ECAI, 2020)

Impact of Imputation Methods on Supervised Classification: A Multiclass Study on Patients with Parkinson's Disease and Subjects with Scans Without Evidence of Dopaminergic Deficit. - Federica Aracri; Maria Giovanna Bianco; Andrea Quattrone; Alessia Sarica (BATS, 2023)

Conversion from Mild Cognitive Impairment to Alzheimer's Disease: A Comparison of Tree-Based Machine Learning Algorithms for Survival Analysis. - Alessia Sarica; Federica Aracri; Maria Giovanna Bianco; Maria Grazia Vaccaro; Andrea Quattrone; Aldo Quattrone (BI, 2023)

Imputation of missing clinical, cognitive and neuroimaging data of Dementia using missForest, a Random Forest based algorithm. - Federica Aracri; Maria Giovanna Bianco; Andrea Quattrone; Alessia Sarica (CBMS, 2023)

Explainability of random survival forests in predicting conversion risk from mild cognitive impairment to Alzheimer's disease. - Alessia Sarica; Federica Aracri; Maria Giovanna Bianco; Fulvia Arcuri; Andrea Quattrone; Aldo Quattrone (Brain Informatics, 2023)

Comparison Between External and Internal Imputation of Missing Values in Longitudinal Data for Alzheimer's Disease Diagnosis. - Federica Aracri; Monica Hernandez; Andrea Quattrone; Alessia Sarica (MetroXRAINE, 2024)

Machine learning pipeline to analyze clinical and proteomics data: experiences on a prostate cancer case. - Patrizia Vizza; Federica Aracri; Pietro Hiram Guzzi; Marco Gaspari; Pierangelo Veltri; Giuseppe Tradigo (BMC Medical Informatics Decis. Mak., 2024)