Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Paolo Dulio"'
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
In this paper, we propose a graphlet-based topological algorithm for the investigation of the brain network at resting state (RS). To this aim, we model the brain as a graph, where (labeled) nodes correspond to specific cerebral areas and links are w
Externí odkaz:
https://doaj.org/article/5deab67de3154e37b4954ca09e17ed43
Autor:
Paolo Finotelli, Ottavia Dipasquale, Isa Costantini, Alessia Pini, Francesca Baglio, Giuseppe Baselli, Paolo Dulio, Mara Cercignani
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0206567 (2018)
In this paper we investigate the changes in the functional connectivity intensity, and some related properties, in healthy people, across the life span and at resting state. For the explicit computation of the functional connectivity we exploit a rec
Externí odkaz:
https://doaj.org/article/db18be9121224085a6706410670c4a71
Publikováno v:
Fundamenta Informaticae. 172:i-xi
Autor:
Paolo Dulio, Andrea Frosini
Reconstructing a discrete object by means of X-rays along a finite set U of (discrete) directions represents one of the main task in discrete tomography. Indeed, it is an ill-posed inverse problem, since different structures exist having the same pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e5b9ae490b02f1e1e53d2cc4f47a237
http://hdl.handle.net/11311/1220341
http://hdl.handle.net/11311/1220341
Autor:
Paolo Dulio, Virgilio Pannone
Publikováno v:
Le Matematiche, Vol 60, Iss 1, Pp 59-65 (2005)
As a generalization of isomorphisms of graphs, we consider path-congruences, that is maps which preserve the number of paths of any length.We construct families of pairs of non-isomorphic trees with the same path-table.
Externí odkaz:
https://doaj.org/article/d80c1a3c516c4ae5ac346683fbafc3a9
Publikováno v:
Journal of Combinatorial Optimization
Journal of Combinatorial Optimization, Springer Verlag, 2021, ⟨10.1007/s10878-021-00751-z⟩
Journal of Combinatorial Optimization, Springer Verlag, 2021, ⟨10.1007/s10878-021-00751-z⟩
A remarkable family of discrete sets which has recently attracted the attention of the discrete geometry community is the family of convex polyominoes, that are the discrete counterpart of Euclidean convex sets, and combine the constraints of convexi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ed968f2d748fc773ec24a8694c75a76
https://hal.archives-ouvertes.fr/hal-03225334
https://hal.archives-ouvertes.fr/hal-03225334
Autor:
Silvia M.C. Pagani, Paolo Dulio
Publikováno v:
Discrete Applied Mathematics. 268:54-69
Discrete tomography deals with the reconstruction of images from projections collected along a few given directions. Different approaches can be considered, according to different models. In this paper we adopt the grid model, where pixels are lattic
Autor:
Paolo Dulio, Enrico Laeng
It is well known that Heron’s equality provides an explicit formula for the area of a triangle, as a symmetric function of the lengths of its edges. It has been extended by Brahmagupta to quadrilaterals inscribed in a circle (cyclic quadrilaterals)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d56a76fec79c3acb25dca2c09a441fac
http://hdl.handle.net/11311/1193922
http://hdl.handle.net/11311/1193922
Autor:
Andrea Frosini, Paolo Dulio
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030766566
DGMM
DGMM
In the usual aim of discrete tomography, the reconstruction of an unknown discrete set is considered, by means of projection data collected along a set $U$ of discrete directions. Possible ambiguous reconstructions can arise if and only if switching
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df32ffbf1b6666664cff5caab00fab46
http://hdl.handle.net/11311/1193923
http://hdl.handle.net/11311/1193923
Publikováno v:
Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 15 (2021)
Frontiers in Neuroscience, Vol 15 (2021)
In this paper, we propose a graphlet-based topological algorithm for the investigation of the brain network at resting state (RS). To this aim, we model the brain as a graph, where (labeled) nodes correspond to specific cerebral areas and links are w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a178272dca19fdaa044af1c8334d150e
http://hdl.handle.net/11311/1173739
http://hdl.handle.net/11311/1173739