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Cesare Miglioli
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A hierarchical procedure to select intrauterine and extrauterine factors for methodological validation of preterm birth risk estimation
PA Della Rosa, C Miglioli, M Caglioni, F Tiberio, KHH Mosser, E Vignotto, ...
BMC pregnancy and childbirth 21 (1), 1-17, 2021
162021
Motif prediction with graph neural networks
M Besta, R Grob, C Miglioli, N Bernold, G Kwasniewski, G Gjini, ...
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
82022
SWAG: A Wrapper Method for Sparse Learning
R Molinari, G Bakalli, S Guerrier, C Miglioli, S Orso, M Karemera, ...
arXiv preprint arXiv:2006.12837, 2020
42020
ProbGraph: high-performance and high-accuracy graph mining with probabilistic set representations
M Besta, C Miglioli, PS Labini, J Tětek, P Iff, R Kanakagiri, S Ashkboos, ...
arXiv preprint arXiv:2208.11469, 2022
12022
Evidence of antagonistic predictive effects of miRNAs in breast cancer cohorts through data-driven networks
C Miglioli, G Bakalli, S Orso, M Karemera, R Molinari, S Guerrier, N Mili
Scientific reports 12 (1), 1-16, 2022
2022
Chameleon microRNAs in breast cancer: their elusive role as regulatory factors in cancer progression
C Miglioli, G Bakalli, S Orso, M Karemera, R Molinari, S Guerrier, N Mili
bioRxiv, 2020
2020
Prediction Divergence Criterion for Model Selection in the Logistic Regression
C Miglioli
University of Geneva, 2018
2018
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Articles 1–7