Výsledky vyhledávání - "REMONDINI, DANIEL"

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Clusters of science and health related Twitter users become more isolated during the COVID-19 pandemic

Autor: Durazzi, Francesco, Müller, Martin, Salathé, Marcel, Remondini, Daniel

COVID-19 represents the most severe global crisis to date whose public conversation can be studied in real time. To do so, we use a data set of over 350 million tweets and retweets posted by over 26 million English speaking Twitter users from January

Externí odkaz: http://arxiv.org/abs/2011.06845

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Merging 1D and 3D genomic information: Challenges in modelling and validation

Autor: Merlotti, Alessandra, Rosa, Angelo, Remondini, Daniel

Publikováno v: Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms Volume 1863, Issue 6, June 2020, 194415

Genome organization in eukaryotes during interphase stems from the delicate balance between non-random correlations present in the DNA polynucleotide linear sequence and the physico/chemical reactions which shape continuously the form and structure o

Externí odkaz: http://arxiv.org/abs/2005.06755

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WISDoM: characterizing neurological timeseries with the Wishart distribution

Autor: Mengucci, Carlo, Remondini, Daniel, Castellani, Gastone, Giampieri, Enrico

WISDoM (Wishart Distributed Matrices) is a new framework for the quantification of deviation of symmetric positive-definite matrices associated to experimental samples, like covariance or correlation matrices, from expected ones governed by the Wisha

Externí odkaz: http://arxiv.org/abs/2001.10342

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Circumventing the Curse of Dimensionality in Magnetic Resonance Fingerprinting through a Deep Learning Approach

Autor: Barbieri, Marco, Brizi, Leonardo, Giampieri, Enrico, Solera, Francesco, Castellani, Gastone, Testa, Claudia, Remondini, Daniel

MR fingerprinting (MRF) is a rapid growing approach for fast quantitave MRI. A typical drawback of dictionary-based MRF is its explosion in size as a function of the number of reconstructed parameters, according to the curse of dimensionality. Deep N

Externí odkaz: http://arxiv.org/abs/1811.11477

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Equivalence between spectral properties of graphs with and without loops

Autor: Andreotti, Eleonora, Remondini, Daniel, Bazzani, Armando

In this paper we introduce a spectra preserving relation between graphs with loops and graphs without loops. This relation is achieved in two steps. First, by generalizing spectra results got on (m, k)-stars to a wider class of graphs, the (m, k, s)-

Externí odkaz: http://arxiv.org/abs/1804.05988

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On the multiplicity of Laplacian eigenvalues and Fiedler partitions

Autor: Andreotti, Eleonora, Bazzani, Armando, Remondini, Daniel, Servizi, Graziano

In this paper we study two classes of graphs, the (m,k)-stars and l-dependent graphs, investigating the relation between spectrum characteristics and graph structure: conditions on the topology and edge weights are given in order to get values and mu

Externí odkaz: http://arxiv.org/abs/1707.04204

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