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A. Gabrielli16/09/2025, 09:30
Heterogeneous and complex networks represent the intertwined
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interactions between real-world elements or agents. Determining the
multi-scale mesoscopic organization of clusters and intertwined
structures is still a fundamental and open problem of complex network
theory. By taking advantage of the recent Laplacian Renormalization
Group [1-4] approach , we scrutinize information diffusion... -
M. Caselle16/09/2025, 10:00
Topic models are a set of algorithms originally developed to extract latent variables from texts corpora. The most popular of these algorithms is the so-called Latent Dirichlet Allocation (LDA) which has been successfully applied in these last years not only in texts analysis but also in bioinformatics. In fact algorithms which try to identify the ``topic'' of a given document from the word...
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M. Seppi16/09/2025, 10:30
Shotgun metagenomics enables the quantitative profiling of microbial communities in biological samples, providing a rich, high-dimensional description of microbiota composition. These microbial profiles are increasingly used to investigate associations with host health. However, the high dimensionality of such data—thousands of microbial or functional features per sample—and the heterogeneity...
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S. Grassia16/09/2025, 10:50
The human brain is a complex system of 100 billion neurons, each one connected on average to 10,000 other neurons to exchange
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electrochemical information. It is possible to coarse-grain this system by considering the average activity of large neuronal aggregates
into Regions of Interest (ROIs), acting as fundamental areas in functional Magnetic Resonance Imaging (fMRI), and their...
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