Publications

Z. Prins
Equal contribution
, S. Punzo
Equal contribution
, F. Wildenburg
Equal contribution
, G. Cinà, S. Pezzelle (2026). Is my model perplexed for the right reason? Contrasting LLMs' Benchmark Behavior with Token-Level Perplexity. arXiv.
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F. Massafra
Equal contribution
, S. Punzo
Equal contribution
, S.G. Galfrè, A. Maglione, S. Pernice, S. Forti, S. Rolla, M. Beccuti, M. Clerico, C. Priami, A. Sîrbu (2026). Machine Learning for analysis of Multiple Sclerosis cross-tissue bulk and single-cell transcriptomics data. Under review.
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S. Punzo, S.G. Galfrè, F. Massafra, A. Maglione, C. Priami, A. Sîrbu (2025). A Machine Learning Pipeline for Multiple Sclerosis Biomarker Discovery: Comparing explainable AI and Traditional Statistical Approaches. BBCC24 / CIBB25.
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