Zobrazeno 1 - 10
of 575
pro vyhledávání: '"Makse, Hernán"'
Autor:
Avila, Bryant, Augusto, Pedro, Phillips, David, Gili, Tommaso, Zimmer, Manuel, Makse, Hernán A.
Understanding the dynamical behavior of complex systems from their underlying network architectures is a long-standing question in complexity theory. Therefore, many metrics have been devised to extract network features like motifs, centrality, and m
Externí odkaz:
http://arxiv.org/abs/2409.02682
Autor:
Gili, Tommaso, Avila, Bryant, Pasquini, Luca, Holodny, Andrei, Phillips, David, Boldi, Paolo, Gabrielli, Andrea, Caldarelli, Guido, Zimmer, Manuel, Makse, Hernán A.
In his book 'A Beautiful Question', physicist Frank Wilczek argues that symmetry is 'nature's deep design,' governing the behavior of the universe, from the smallest particles to the largest structures. While symmetry is a cornerstone of physics, it
Externí odkaz:
http://arxiv.org/abs/2409.02674
Autor:
Serafino, Matteo, Clemente, G. Virginio, Flamino, James, Szymanski, Boleslaw K., Lizardo, Omar, Makse, Hernan A.
Since the advent of the internet, communication paradigms have continuously evolved, resulting in a present-day landscape where the dynamics of information dissemination have undergone a complete transformation compared to the past. In this study, we
Externí odkaz:
http://arxiv.org/abs/2409.01225
Geometric Deep Learning (GDL) unifies a broad class of machine learning techniques from the perspectives of symmetries, offering a framework for introducing problem-specific inductive biases like Graph Neural Networks (GNNs). However, the current for
Externí odkaz:
http://arxiv.org/abs/2408.15894
Autor:
Li, Qiongge, Ferraro, Gino Del, Pasquini, Luca, Peck, Kyung K., Makse, Hernán A., Holodny, Andrei I.
Publikováno v:
Network Neuroscience, Vol 4, Iss 1, Pp 134-154 (2020)
Functional magnetic resonance imaging (fMRI) is widely used in clinical applications to highlight brain areas involved in specific cognitive processes. Brain impairments, such as tumors, suppress the fMRI activation of the anatomical areas they invad
Externí odkaz:
https://doaj.org/article/c70fe4fa64c241dfb9bb886808ebdccb
Autor:
Hirsch, Lukas, Huang, Yu, Makse, Hernan A., Martinez, Danny F., Hughes, Mary, Eskreis-Winkler, Sarah, Pinker, Katja, Morris, Elizabeth, Parra, Lucas C., Sutton, Elizabeth J.
Women with an increased life-time risk of breast cancer undergo supplemental annual screening MRI. We propose to predict the risk of developing breast cancer within one year based on the current MRI, with the objective of reducing screening burden an
Externí odkaz:
http://arxiv.org/abs/2312.00067
Autor:
del Pozo, Sofía M, Pinto, Sebastián, Serafino, Matteo, Moss, Federico, Cicchini, Tomás, Makse, Hernán A, Balenzuela, Pablo
In an era marked by an abundance of news sources, access to information significantly influences public opinion. Notably, the bias of news sources often serves as an indicator of individuals' political leanings. This study explores this hypothesis by
Externí odkaz:
http://arxiv.org/abs/2311.10837
Symmetry principles have proven important in physics, deep learning and geometry, allowing for the reduction of complicated systems to simpler, more comprehensible models that preserve the system's features of interest. Biological systems often show
Externí odkaz:
http://arxiv.org/abs/2310.10895
Autor:
del Pozo, Sofía M, Pinto, Sebastián, Serafino, Matteo, Garcia, Lucio, Makse, Hernán A, Balenzuela, Pablo
The extensive data generated on social media platforms allow us to gain insights over trending topics and public opinions. Additionally, it offers a window into user behavior, including their content engagement and news sharing habits. In this study,
Externí odkaz:
http://arxiv.org/abs/2310.08701
The ongoing debate surrounding the impact of the Internet Research Agency s (IRA) social media campaign during the 2016 U.S. presidential election has largely overshadowed the involvement of other actors. Our analysis brings to light a substantial gr
Externí odkaz:
http://arxiv.org/abs/2307.15365