Seuraa
Tommaso Fontana
Tommaso Fontana
Vahvistettu sähköpostiosoite verkkotunnuksessa studenti.unimi.it
Nimike
Viittaukset
Viittaukset
Vuosi
KG-COVID-19: a framework to produce customized knowledge graphs for COVID-19 response
JT Reese, D Unni, TJ Callahan, L Cappelletti, V Ravanmehr, S Carbon, ...
Patterns 2 (1), 2021
912021
Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes
JT Reese, H Blau, E Casiraghi, T Bergquist, JJ Loomba, TJ Callahan, ...
EBioMedicine 87, 2023
772023
Explainable machine learning for early assessment of COVID-19 risk prediction in emergency departments
E Casiraghi, D Malchiodi, G Trucco, M Frasca, L Cappelletti, T Fontana, ...
Ieee Access 8, 196299-196325, 2020
772020
NSAID use and clinical outcomes in COVID-19 patients: a 38-center retrospective cohort study
JT Reese, B Coleman, L Chan, H Blau, TJ Callahan, L Cappelletti, ...
Virology journal 19 (1), 84, 2022
292022
Cyclooxygenase inhibitor use is associated with increased COVID-19 severity
J Reese, B Coleman, L Chan, JC Tiffany, L Cappelletti, T Fontana, ...
142021
Complex data imputation by auto-encoders and convolutional neural networks—A case study on genome gap-filling
L Cappelletti, T Fontana, GW Di Donato, L Di Tucci, E Casiraghi, ...
Computers 9 (2), 37, 2020
142020
GraPE: fast and scalable Graph Processing and Embedding
L Cappelletti, T Fontana, E Casiraghi, V Ravanmehr, T Callahan, ...
82022
Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer
V Ravanmehr, H Blau, L Cappelletti, T Fontana, L Carmody, B Coleman, ...
NAR genomics and bioinformatics 3 (4), lqab113, 2021
62021
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding
G Valentini, E Casiraghi, L Cappelletti, T Fontana, J Reese, P Robinson
arXiv preprint arXiv:2101.01425, 2021
52021
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