• Data-driven detrending of nonstationary fractal time series with echo state networks 

      Maiorino, Enrico; Bianchi, Filippo Maria; Livi, Lorenzo; Rizzi, Antonello; Sadeghian, Alireza (Journal article; Tidsskriftartikkel, 2016-12-14)
      In this paper, we propose a novel data-driven approach for removing trends (detrending) from nonstationary, fractal and multifractal time series. We consider real-valued time series relative to measurements of an underlying dynamical system that evolves through time. We assume that such a dynamical process is predictable to a certain degree by means of a class of recurrent networks called Echo ...
    • A Novel Algorithm for Online Inexact String Matching and its FPGA Implementation 

      Cinti, Alessandro; Bianchi, Filippo Maria; Rizzi, Antonello (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-05-14)
      Among the basic cognitive skills of the biological brain in humans and other mammals, a fundamental one is the ability to recognize inexact patterns in a sequence of objects or events. Accelerating inexact string matching procedures is of utmost importance when dealing with practical applications where huge amounts of data must be processed in real time, as usual in bioinformatics or cybersecurity. ...