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Federica Aracri

Showing results (1-10 of 14) with videos related to

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Brain Sciences|June 26, 2025
Bridging the Gap: Missing Data Imputation Methods and Their Effect on Dementia Classification PerformanceFederica Aracri, Maria Giovanna Bianco, Andrea Quattrone, et al.
Brain Informatics|November 18, 2023
Explainability of random survival forests in predicting conversion risk from mild cognitive impairment to Alzheimer's diseaseAlessia Sarica, Federica Aracri, Maria Giovanna Bianco, et al.
BMC Medical Informatics and Decision Making|April 7, 2024
Machine learning pipeline to analyze clinical and proteomics data: experiences on a prostate cancer casePatrizia Vizza, Federica Aracri, Pietro Hiram Guzzi, et al.
Brain Sciences|March 28, 2024
Sex Differences in Conversion Risk from Mild Cognitive Impairment to Alzheimer's Disease: An Explainable Machine Learning Study with Random Survival Forests and SHAPAlessia Sarica, Assunta Pelagi, Federica Aracri, et al.
Bioengineering (Basel, Switzerland)|September 28, 2023
Development of a New Wearable Device for the Characterization of Hand TremorBasilio Vescio, Marida De Maria, Marianna Crasà, et al.
Parkinsonism & Related Disorders|August 21, 2022
Cortical atrophy distinguishes idiopathic normal-pressure hydrocephalus from progressive supranuclear palsy: A machine learning approachMaria Giovanna Bianco, Andrea Quattrone, Alessia Sarica, et al.
ACS Omega|February 27, 2023
Data-Independent Acquisition Mass Spectrometry of EPS-Urine Coupled to Machine Learning: A Predictive Model for Prostate CancerLicia E Prestagiacomo, Giuseppe Tradigo, Federica Aracri, et al.
Parkinsonism & Related Disorders|July 22, 2023
Neuroimaging correlates of postural instability in Progressive Supranuclear PalsyCamilla Calomino, Andrea Quattrone, Alessia Sarica, et al.
Clinical Proteomics|November 22, 2023
Development of a predictive model to distinguish prostate cancer from benign prostatic hyperplasia by integrating serum glycoproteomics and clinical variablesCaterina Gabriele, Federica Aracri, Licia Elvira Prestagiacomo, et al.
Journal of Neurology|July 28, 2023
Differentiating between common PSP phenotypes using structural MRI: a machine learning studyAndrea Quattrone, Alessia Sarica, Jolanda Buonocore, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Brain Sciences|June 26, 2025
Bridging the Gap: Missing Data Imputation Methods and Their Effect on Dementia Classification PerformanceFederica Aracri, Maria Giovanna Bianco, Andrea Quattrone, et al.
Brain Informatics|November 18, 2023
Explainability of random survival forests in predicting conversion risk from mild cognitive impairment to Alzheimer's diseaseAlessia Sarica, Federica Aracri, Maria Giovanna Bianco, et al.
BMC Medical Informatics and Decision Making|April 7, 2024
Machine learning pipeline to analyze clinical and proteomics data: experiences on a prostate cancer casePatrizia Vizza, Federica Aracri, Pietro Hiram Guzzi, et al.
Brain Sciences|March 28, 2024
Sex Differences in Conversion Risk from Mild Cognitive Impairment to Alzheimer's Disease: An Explainable Machine Learning Study with Random Survival Forests and SHAPAlessia Sarica, Assunta Pelagi, Federica Aracri, et al.
Bioengineering (Basel, Switzerland)|September 28, 2023
Development of a New Wearable Device for the Characterization of Hand TremorBasilio Vescio, Marida De Maria, Marianna Crasà, et al.
Parkinsonism & Related Disorders|August 21, 2022
Cortical atrophy distinguishes idiopathic normal-pressure hydrocephalus from progressive supranuclear palsy: A machine learning approachMaria Giovanna Bianco, Andrea Quattrone, Alessia Sarica, et al.
ACS Omega|February 27, 2023
Data-Independent Acquisition Mass Spectrometry of EPS-Urine Coupled to Machine Learning: A Predictive Model for Prostate CancerLicia E Prestagiacomo, Giuseppe Tradigo, Federica Aracri, et al.
Parkinsonism & Related Disorders|July 22, 2023
Neuroimaging correlates of postural instability in Progressive Supranuclear PalsyCamilla Calomino, Andrea Quattrone, Alessia Sarica, et al.
Clinical Proteomics|November 22, 2023
Development of a predictive model to distinguish prostate cancer from benign prostatic hyperplasia by integrating serum glycoproteomics and clinical variablesCaterina Gabriele, Federica Aracri, Licia Elvira Prestagiacomo, et al.
Journal of Neurology|July 28, 2023
Differentiating between common PSP phenotypes using structural MRI: a machine learning studyAndrea Quattrone, Alessia Sarica, Jolanda Buonocore, et al.
Pageof 2