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Computers in Biology and Medicine|June 23, 2020
Assessment and prediction of spine surgery invasiveness with machine learning techniquesAndrea Campagner, Pedro Berjano, Claudio Lamartina, et al.Studies in Health Technology and Informatics|October 22, 2020
A Novel Method for Validating Multi-Classifiers. A Case Study for ICF-Based Health Status ClassificationFederico Sternini, Giuseppe Fenza, Domenico Furno, et al.Computers in Biology and Medicine|February 3, 2024
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systemsLorenzo Famiglini, Andrea Campagner, Marilia Barandas, et al.Sensors (Basel, Switzerland)|October 14, 2022
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity RecognitionNuno Bento, Joana Rebelo, Marília Barandas, et al.International Journal of Medical Informatics|February 24, 2025
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcareMassimo Salvi, Silvia Seoni, Andrea Campagner, et al.Computers in Biology and Medicine|April 29, 2021
Interpretable heartbeat classification using local model-agnostic explanations on ECGsInês Neves, Duarte Folgado, Sara Santos, et al.Acta Bio-Medica : Atenei Parmensis|February 2, 2021
Evidence of significant difference in key COVID-19 biomarkers during the Italian lockdown strategy. A retrospective study on patients admitted to a hospital emergency department in Northern ItalyDavide Ferrari, Anna Carobene, Andrea Campagner, et al.Journal of Biomedical Informatics|March 21, 2025
Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of careAndrea Campagner, Luca Marconi, Edoardo Bianchi, et al.Computer Methods and Programs in Biomedicine|August 5, 2021
The importance of being external. methodological insights for the external validation of machine learning models in medicineFederico Cabitza, Andrea Campagner, Felipe Soares, et al.Studies in Health Technology and Informatics|August 10, 2012
On the attitudes of GPs toward novel features of their next EPRsFederico CabitzaPageof 9