CRAIGHERO FRANCESCO
Publications
(2023). Three Perspectives on Anomaly Detection in Deep Learning. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2023). Detail
Ascolani, G., Angaroni, F., Maspero, D., Craighero, F., Bhavesh, N., Piazza, R., et al. (2023). LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution. BMC BIOINFORMATICS, 24(1) [10.1186/s12859-023-05221-3]. Detail
Craighero, F., Angaroni, F., Stella, F., Damiani, C., Antoniotti, M., Graudenzi, A. (2023). Unity is strength: Improving the detection of adversarial examples with ensemble approaches. NEUROCOMPUTING, 554(14 October 2023) [10.1016/j.neucom.2023.126576]. Detail
Patruno, L., Maspero, D., Craighero, F., Angaroni, F., Antoniotti, M., Graudenzi, A. (2021). A review of computational strategies for denoising and imputation of single-cell transcriptomic data. BRIEFINGS IN BIOINFORMATICS, 22(4 (July 2021)) [10.1093/bib/bbaa222]. Detail
Machicao, J., Craighero, F., Maspero, D., Angaroni, F., Damiani, C., Graudenzi, A., et al. (2021). On the use of topological features of metabolic networks for the classification of cancer samples. CURRENT GENOMICS, 22(2), 88-97 [10.2174/1389202922666210301084151]. Detail