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ORCIDAndrea Quattrone
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2020 – today
- 2024
[c9]Camilla Calomino
, Andrea Quattrone, Maria Giovanna Bianco:
Hybrid Feature Selection Approach Combining Filters and Feature Importance on the PPMI Dataset. ICBET 2024: 13-17- [c8]Camilla Calomino, Maria Giovanna Bianco, Giuseppe Oliva, Filippo Laganà, Salvatore A. Pullano, Andrea Quattrone:
Comparative Analysis of Cross-Validation Methods on PPMI Dataset. MeMeA 2024: 1-5 - 2023
- [j3]Alessia Sarica, Federica Aracri, Maria Giovanna Bianco, Fulvia Arcuri, Andrea Quattrone, Aldo Quattrone:
Explainability of random survival forests in predicting conversion risk from mild cognitive impairment to Alzheimer's disease. Brain Informatics 10(1): 31 (2023) - [c7]Federica Aracri, Maria Giovanna Bianco, Andrea Quattrone, Alessia Sarica:
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. BATS 2023: 28-32 - [c6]Camilla Calomino, Vera Gramigna, Rita Nisticó, Maria Giovanna Bianco, Marianna Crasá, Alessia Cristofaro, Giulia Sgró, Andrea Quattrone, Aldo Quattrone:
A Quantitative Kinematic Evaluation of Postural Response in Parkinson's Disease Subtypes. BATS 2023: 74-78 - [c5]Alessia Sarica, Federica Aracri, Maria Giovanna Bianco, Maria Grazia Vaccaro, Andrea Quattrone, Aldo Quattrone:
Conversion from Mild Cognitive Impairment to Alzheimer's Disease: A Comparison of Tree-Based Machine Learning Algorithms for Survival Analysis. BI 2023: 179-190 - [c4]Federica Aracri, Maria Giovanna Bianco, Andrea Quattrone, Alessia Sarica:
Imputation of missing clinical, cognitive and neuroimaging data of Dementia using missForest, a Random Forest based algorithm. CBMS 2023: 684-688 - 2022
- [j2]Chiara Maffei, Gabriel Girard, Kurt G. Schilling, Dogu Baran Aydogan, Nagesh Adluru, Andrey Zhylka, Ye Wu, Matteo Mancini, Andac Hamamci, Alessia Sarica, Achille Teillac, Steven H. Baete, Davood Karimi, Fang-Cheng Yeh, Mert E. Yildiz, Ali Gholipour, Yann Bihan-Poudec, Bassem Hiba, Andrea Quattrone, Aldo Quattrone, Tommy Boshkovski, Nikola Stikov, Pew-Thian Yap, Alberto De Luca, Josien P. W. Pluim, Alexander Leemans, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Bennett A. Landman, Erick Jorge Canales-Rodríguez, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Gaëtan Rensonnet, Simona Schiavi, Alessandro Daducci, Marco Pizzolato, Elda Fischi Gomez, Jean-Philippe Thiran, George Dai, Giorgia Grisot, Nikola Lazovski, Santi Puch, Marc Ramos, Paulo Rodrigues, Vesna Prckovska, Robert Jones, Julia Lehman, Suzanne N. Haber, Anastasia Yendiki:
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. NeuroImage 257: 119327 (2022) - [c3]Alessia Sarica, Andrea Quattrone, Aldo Quattrone:
Introducing the Rank-Biased Overlap as Similarity Measure for Feature Importance in Explainable Machine Learning: A Case Study on Parkinson's Disease. BI 2022: 129-139 - [c2]Vera Gramigna, Maria Giovanna Bianco, Marianna Crasá, Rita Nisticó, Andrea Quattrone, Aldo Quattrone:
Resting motor threshold asymmetry in PD patients: a navigated TMS measurement study. MeMeA 2022: 1-6 - 2021
- [j1]Alessia Sarica, Maria Grazia Vaccaro, Andrea Quattrone, Aldo Quattrone:
A Novel Approach for Cognitive Clustering of Parkinsonisms through Affinity Propagation. Algorithms 14(2): 49 (2021) - [c1]Alessia Sarica, Andrea Quattrone, Aldo Quattrone:
Explainable Boosting Machine for Predicting Alzheimer's Disease from MRI Hippocampal Subfields. BI 2021: 341-350
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