activity
20042020
most citedWeighted Multiplex Networks

230 citations · 314 across the 16 of their papers we have counts for

collaborators

18 papers

cs.SI2020

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

Francesco Durazzi, Martin Müller, Marcel Salathé +1

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…

q-bio.GN2020★ 6 cited

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

Alessandra Merlotti, Angelo Rosa, Daniel Remondini

Genome organization in eukaryotes during interphase stems from the delicate balance between non-random correlations present in the DNA polynucleotide linear sequence and the physic…

physics.data-an2020

WISDoM: characterizing neurological timeseries with the Wishart distribution

Carlo Mengucci, Daniel Remondini, Gastone Castellani +1

WISDoM (Wishart Distributed Matrices) is a new framework for the quantification of deviation of symmetric positive-definite matrices associated to experimental samples, like covari…

physics.med-ph2018★ 1 cited

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

Marco Barbieri, Leonardo Brizi, Enrico Giampieri +4

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 reco…

math.CO2018

Equivalence between spectral properties of graphs with and without loops

Eleonora Andreotti, Daniel Remondini, Armando Bazzani

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…

math.NA2017

On the multiplicity of Laplacian eigenvalues and Fiedler partitions

Eleonora Andreotti, Armando Bazzani, Daniel Remondini +1

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…