Research & Insights
Longer reads on my research: explainable AI, uncertainty and machine learning for neuroscience, from brain age to neurodegenerative diseases. What we found, why it matters, and what still keeps me up at night.
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This paper was born from a simple question I kept asking myself: Can we really trust an AI model if… Read more.
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🚀 New Research Alert! 🚀Excited to share that three of my proceedings have just been published! 🎉 These studies leverage large-scale international neuroimaging datasets and… Read more.
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+++++CALL FOR PAPERS AND ABSTRACTS+++++ III Ed. EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR UNVEILING THE BRAIN: FROM THE BLACK-BOX TO THE GLASS-BOX.… Read more.
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Quantifying differences in feature importance rankings of #machinelearning #classification could enhance #interpretability and #explainability: we show how through the rank-biased… Read more.
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In case you missed the live, here the recording of the BI2022 Special Session on EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR UNVEILING… Read more.
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My Editorial for the Special Issue on “Machine Learning in Healthcare and Biomedical Application” https://www.mdpi.com/1999-4893/15/3/97/htm Read more.
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In case you missed the live, here the recording of the BI2021 Special Session on EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR UNVEILING… Read more.
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SPECIAL SESSION EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR UNVEILING THE BRAIN: FROM THE BLACK-BOX TO THE GLASS-BOX (XAIB) 18th September 2021, 14:00-16:00 UK time (GMT+1) Read more.
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Machine Learning e Neuroimaging: se vi va di saperne qualcosa in più, ho fatto una bella chiacchierata sui miei lavori… Read more.
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So glad we had the front page of the Journal Algorithms MDPI for the work “A Novel Approach for Cognitive… Read more.
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