Browsing by Author "Grau Leguia, Marc"

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  • Automatic reconstruction of complex dynamical networks
    Grau Leguia, Marc (Universitat Pompeu Fabra, 2019-04-10)
    Un problema principal de la ciència de xarxes és com reconstruir (inferir) la topologia d’una xarxa real a partir de senyals mesurades de les seves unitats internes. Entendre la arquitectura d’una xarxa complexa és clau, ...
  • Evolutionary optimization of network reconstruction from derivative-variable correlations
    Grau Leguia, Marc; Andrzejak, Ralph Gregor; Levnajić, Zoran (Institute of Physics (IOP), 2017)
    Topologies of real-world complex networks are rarely accessible, but can often be reconstructed from experimentally obtained time series via suitable network reconstruction methods. Extending our earlier work on methods ...
  • Inferring directed networks using a rank-based connectivity measure
    Grau Leguia, Marc; Martínez, Cristina G. B.; Malvestio, Irene; Tauste Campo, Adrià, 1982-; Rocamora, Rodrigo; Levnajić, Zoran; Andrzejak, Ralph Gregor (American Physical Society, 2019)
    Inferring the topology of a network using the knowledge of the signals of each of the interacting units is key to understanding real-world systems. One way to address this problem is using data- driven methods like ...
  • Reconstructing dynamical networks via feature ranking
    Grau Leguia, Marc; Levnajić, Zoran; Todorovski, Ljupčo; Ženko, Bernard (American Institute of Physics (AIP), 2019)
    Empirical data on real complex systems are becoming increasingly available. Parallel to this is the need for new methods of reconstructing (inferring) the structure of networks from time-resolved observations of their ...
  • Seizure cycles in focal epilepsy
    Grau Leguia, Marc; Andrzejak, Ralph Gregor; Rummel, Christian; Fan, Joline M.; Mirro, Emily A.; Tcheng, Thomas K.; Rao, Vikram R.; Baud, Maxime O. (American Medical Association, 2021)
    IMPORTANCE Focal epilepsy is characterized by the cyclical recurrence of seizures, but, to our knowledge, the prevalence and patterns of seizure cycles are unknown. OBJECTIVE To establish the prevalence, strength, and ...