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AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study., , , , , , , , , and 18 other author(s). CoRR, (2020)A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values., , , and . CoRR, (2023)Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes., and . Comput. Biol. Medicine, (March 2023)Temporal Network Motifs: Models, Limitations, Evaluation (Extended abstract)., , and . ICDE, page 1531-1532. IEEE, (2022)Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomes., and . CoRR, (2022)A Deep Learning Approach for Virtual Contrast Enhancement in Contrast Enhanced Spectral Mammography., , , , , , and . CoRR, (2023)Temporal Network Motifs: Models, Limitations, Evaluation., , and . IEEE Trans. Knowl. Data Eng., 35 (1): 945-957 (2023)Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays., , , , and . Pattern Recognit., (2022)AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study., , , , , , , , , and 18 other author(s). Medical Image Anal., (2021)Assessing the impact of data-driven limitations on tracing and forecasting the outbreak dynamics of COVID-19., , , , and . Comput. Biol. Medicine, (2021)