Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Marco Cianfriglia"'
Autor:
Stefano Guarino, Enrico Mastrostefano, Massimo Bernaschi, Alessandro Celestini, Marco Cianfriglia, Davide Torre, Lena Rebecca Zastrow
Publikováno v:
Future Internet, Vol 13, Iss 5, p 108 (2021)
The definition of suitable generative models for synthetic yet realistic social networks is a widely studied problem in the literature. By not being tied to any real data, random graph models cannot capture all the subtleties of real networks and are
Externí odkaz:
https://doaj.org/article/1b96055ce0cf41868a5cd91b9c15e371
Publikováno v:
Applicable Algebra in Engineering, Communication and Computing.
Algebraic Cryptanalysis is a widely used technique that tackles the problem of breaking ciphers mainly relying on the ability to express a cryptosystem as a solvable polynomial system. Each output bit/word can be expressed as a polynomial equation in
Autor:
Massimo Bernaschi, Alessandro Celestini, Marco Cianfriglia, Stefano Guarino, Giuseppe F. Italiano, Enrico Mastrostefano, Lena Rebecca Zastrow
Publikováno v:
Journal of Computational Science. 69:102012
Autor:
Grigori Fursin, Anton Lokhmotov, Bruno Carpentieri, Fabiana Zollo, Marco Cianfriglia, Damiano Perri, Osvaldo Gervasi, Paolo Sylos Labini, Cedric Nugteren, Flavio Vella
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 18:1-24
Efficient HPC libraries often expose multiple tunable parameters, algorithmic implementations, or a combination of them, to provide optimized routines. The optimal parameters and algorithmic choices may depend on input properties such as the shapes o
Autor:
Massimo Bernaschi, Enrico Mastrostefano, Stefano Guarino, Alessandro Celestini, Marco Cianfriglia, Davide La Torre, Lena Rebecca Zastrow
Publikováno v:
ANNSIM
2021 Annual Modeling and Simulation Conference (ANNSIM), pp. 289–300, 18-21/07/2021
info:cnr-pdr/source/autori:Guarino S.; Torre D.; Bernaschi M.; Celestini A.; Cianfriglia M.; Mastrostefano E.; Zastrow L.R./congresso_nome:2021 Annual Modeling and Simulation Conference (ANNSIM)/congresso_luogo:/congresso_data:18-21%2F07%2F2021/anno:2021/pagina_da:289/pagina_a:300/intervallo_pagine:289–300
2021 Annual Modeling and Simulation Conference (ANNSIM), pp. 289–300, 18-21/07/2021
info:cnr-pdr/source/autori:Guarino S.; Torre D.; Bernaschi M.; Celestini A.; Cianfriglia M.; Mastrostefano E.; Zastrow L.R./congresso_nome:2021 Annual Modeling and Simulation Conference (ANNSIM)/congresso_luogo:/congresso_data:18-21%2F07%2F2021/anno:2021/pagina_da:289/pagina_a:300/intervallo_pagine:289–300
The COVID-19 pandemic triggered a global research effort to define and assess timely and effective containment policies. Understanding the role that specific venues play in the dynamics of epidemic spread is critical to guide the implementation of fi
Autor:
Alessandro Celestini, Lena Rebecca Zastrow, Marco Cianfriglia, Enrico Mastrostefano, Davide La Torre, Stefano Guarino, Massimo Bernaschi
Publikováno v:
21st International Conference on Computational Science, ICCS 2021, pp. 281–294, 16-18/06/2021
info:cnr-pdr/source/autori:Guarino S.; Mastrostefano E.; Celestini A.; Bernaschi M.; Cianfriglia M.; Torre D.; Zastrow L.R./congresso_nome:21st International Conference on Computational Science, ICCS 2021/congresso_luogo:/congresso_data:16-18%2F06%2F2021/anno:2021/pagina_da:281/pagina_a:294/intervallo_pagine:281–294
Computational Science – ICCS 2021 ISBN: 9783030779665
ICCS (3)
info:cnr-pdr/source/autori:Guarino S.; Mastrostefano E.; Celestini A.; Bernaschi M.; Cianfriglia M.; Torre D.; Zastrow L.R./congresso_nome:21st International Conference on Computational Science, ICCS 2021/congresso_luogo:/congresso_data:16-18%2F06%2F2021/anno:2021/pagina_da:281/pagina_a:294/intervallo_pagine:281–294
Computational Science – ICCS 2021 ISBN: 9783030779665
ICCS (3)
Defining accurate and flexible models for real-world networks of human beings is instrumental to understand the observed properties of phenomena taking place across those networks and to support computer simulations of dynamic processes of interest f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6161236915e1ee8c86287e2f164e6ee7
https://publications.cnr.it/doc/460946
https://publications.cnr.it/doc/460946
Autor:
Alessandro Celestini, Massimo Bernaschi, Lena Rebecca Zastrow, Enrico Mastrostefano, Stefano Guarino, Marco Cianfriglia, Davide La Torre
Publikováno v:
Future Internet; Volume 13; Issue 5; Pages: 108
Future internet 13 (2021). doi:10.3390/fi13050108
info:cnr-pdr/source/autori:Guarino S.; Mastrostefano E.; Bernaschi M.; Celestini A.; Cianfriglia M.; Torre D.; Zastrow L.R./titolo:Inferring urban social networks from publicly available data/doi:10.3390%2Ffi13050108/rivista:Future internet/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:13
Future Internet, Vol 13, Iss 108, p 108 (2021)
Future internet 13 (2021). doi:10.3390/fi13050108
info:cnr-pdr/source/autori:Guarino S.; Mastrostefano E.; Bernaschi M.; Celestini A.; Cianfriglia M.; Torre D.; Zastrow L.R./titolo:Inferring urban social networks from publicly available data/doi:10.3390%2Ffi13050108/rivista:Future internet/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:13
Future Internet, Vol 13, Iss 108, p 108 (2021)
The emergence of social networks and the definition of suitable generative models for synthetic yet realistic social graphs are widely studied problems in the literature. By not being tied to any real data, random graph models cannot capture all the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f32105364fbc9926d5c9f136073c7c4
http://arxiv.org/abs/2012.06652
http://arxiv.org/abs/2012.06652
Autor:
Paolo Tieri, Marco Cianfriglia, Enrico Mastrostefano, Alessandro Celestini, Filippo Castiglione, Alessandro Palma
Publikováno v:
BIBM
Network-based ranking methods (e.g., centrality analysis) have found extensive use in systems biology and network medicine for the prediction of essential proteins, for the prioritization of drug targets candidates in the treatment of several patholo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fab6d52c8cc2c41390efc10e4bba4f52
https://doi.org/10.1101/831750
https://doi.org/10.1101/831750
Publikováno v:
International Conference in Systems and Network Medicine: Applications of Systems Science and Thinking to Biomedicine, 2019
info:cnr-pdr/source/autori:Alessandro Celestini, Marco Cianfriglia, Enrico Mastrostefano, Alessandro Palma, Paolo Tieri/congresso_nome:International Conference in Systems and Network Medicine: Applications of Systems Science and Thinking to Biomedicine/congresso_luogo:/congresso_data:2019/anno:2019/pagina_da:/pagina_a:/intervallo_pagine
info:cnr-pdr/source/autori:Alessandro Celestini, Marco Cianfriglia, Enrico Mastrostefano, Alessandro Palma, Paolo Tieri/congresso_nome:International Conference in Systems and Network Medicine: Applications of Systems Science and Thinking to Biomedicine/congresso_luogo:/congresso_data:2019/anno:2019/pagina_da:/pagina_a:/intervallo_pagine
Network-based ranking methods (e.g. centrality analysis) have found extensive use in systems medicine for the prediction of essential proteins, for the prioritization of drug targets candidates in the treatment of several pathologies and in biomarker
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1d30784d9182f0ab9bbdc97f2656b15