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M. Brescia20/02/2026, 14:30
Content: Most domains of science are experiencing a paradigm shift due to the availability data streams at an unprecedented rate. The scientific exploitation of these data, namely Data Driven Discovery, requires interoperability, massive and optimal use of Artificial Intelligence methods in all steps of the data acquisition, processing and analysis, the access to large and distributed...
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S. Cavuoti (INAF- Capodimonte)20/02/2026, 15:15
Content: This lecture explores some applications of transfer learning in astronomical image analysis, focusing on the usage of a pretrained model. We discuss methods for identifying active galactic nuclei, extracting physical parameters, and detecting anomalies in time series data. Additionally, we present some potential future applications, demonstrating the versatility of this approach,...
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