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pro vyhledávání: '"Piaggesi, A"'
Node representations, or embeddings, are low-dimensional vectors that capture node properties, typically learned through unsupervised structural similarity objectives or supervised tasks. While recent efforts have focused on explaining graph model de
Externí odkaz:
http://arxiv.org/abs/2410.21043
Graphs are ubiquitous due to their flexibility in representing social and technological systems as networks of interacting elements. Graph representation learning methods, such as node embeddings, are powerful approaches to map nodes into a latent ve
Externí odkaz:
http://arxiv.org/abs/2310.01162
Autor:
Giurgola, Serena, Piaggesi, Simone, Karsai, Márton, Mejova, Yelena, Panisson, André, Tizzoni, Michele
Ending poverty in all its forms everywhere is the number one Sustainable Development Goal of the UN 2030 Agenda. To monitor the progress towards such an ambitious target, reliable, up-to-date and fine-grained measurements of socioeconomic indicators
Externí odkaz:
http://arxiv.org/abs/2105.13774
Autor:
Piaggesi, Simone, Panisson, André
Representation learning models for graphs are a successful family of techniques that project nodes into feature spaces that can be exploited by other machine learning algorithms. Since many real-world networks are inherently dynamic, with interaction
Externí odkaz:
http://arxiv.org/abs/2006.14330
Autor:
Adam, Ihusan, Garlaschi, Stefano, Lin, Jian-Hong, Piaggesi, Simone, Barigozzi, Matteo, Gabrielli, Andrea, Mastrandrea, Rossana
In the past years statistical physics has been successfully applied for complex networks modelling. In particular, it has been shown that the maximum entropy principle can be exploited in order to construct graph ensembles for real-world networks whi
Externí odkaz:
http://arxiv.org/abs/1906.09135
Autor:
Gauvin, Laetitia, Tizzoni, Michele, Piaggesi, Simone, Young, Andrew, Adler, Natalia, Verhulst, Stefaan, Ferres, Leo, Cattuto, Ciro
The use of public transportation or simply moving about in streets are gendered issues. Women and girls often engage in multi-purpose, multi-stop trips in order to do household chores, work, and study ('trip chaining'). Women-headed households are of
Externí odkaz:
http://arxiv.org/abs/1906.09092
Autor:
Tramonti, Caterina, Iacopi, Elisabetta, Cafalli, Martina, Riitano, Nicola, Piaggesi, Alberto, Chisari, Carmelo
Publikováno v:
In Clinical Biomechanics December 2022 100
Autor:
Simone Piaggesi, André Panisson
Publikováno v:
EPJ Data Science, Vol 11, Iss 1, Pp 1-21 (2022)
Abstract Representation learning models for graphs are a successful family of techniques that project nodes into feature spaces that can be exploited by other machine learning algorithms. Since many real-world networks are inherently dynamic, with in
Externí odkaz:
https://doaj.org/article/f0ef3b0e607046188607bc06495b9334
Autor:
Raffaella Berchiolli, Giulia Bertagna, Daniele Adami, Alberto Piaggesi, Elisabetta Iacopi, Francesco Giangreco, Lorenzo Torri, Nicola Troisi
Publikováno v:
Diagnostics, Vol 13, Iss 18, p 2879 (2023)
Background: Digital subtraction angiography (DSA) still represents the gold standard for anatomical arterial mapping and revascularization decision-making in patients with chronic limb-threatening ischemia (CLTI), although DUS (Doppler Ultrasound) re
Externí odkaz:
https://doaj.org/article/28cdfc2de5d647aca271959ed704125a
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