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An introduction to graph theory and how we can use it in modern network science to find emergent patterns in (almost) every type of data. With an introduction inspired by the Network Science Book and heavy focus on the subgraph census problem.
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I was responsible for the design of the hands-on part of the session led by Prof. Francesco Renna in an EUGLOH BIP organized by the University of Porto on Advanced Processing of Biomedical Signals and Images. The original title was “Deep learning techniques for digital cardiac auscultation analysis”.
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An updated, compacted version of the hands-on session originally presented at the Advanced Processing of Biomedical Signals and Images.
Discrete Mathematics, University of Porto, Faculty of Engineering, 2022