280 citations · 414 across the 8 of their papers we have counts for
9 papers
Detecting Lagrangian coherent structures from sparse and noisy trajectory data
Saviz Mowlavi, Mattia Serra, Enrico Maiorino +1
Many complex flows such as those arising from ocean plastics in geophysics or moving cells in biology are characterized by sparse and noisy trajectory datasets. We introduce techni…
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting
Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer +2
The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both service interruptions an…
Temporal Overdrive Recurrent Neural Network
Filippo Maria Bianchi, Michael Kampffmeyer, Enrico Maiorino +1
In this work we present a novel recurrent neural network architecture designed to model systems characterized by multiple characteristic timescales in their dynamics. The proposed…
Data-driven detrending of nonstationary fractal time series with echo state networks
Enrico Maiorino, Filippo Maria Bianchi, Lorenzo Livi +2
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 serie…
A generative model for protein contact networks
Lorenzo Livi, Enrico Maiorino, Alessandro Giuliani +2
In this paper we present a generative model for protein contact networks. The soundness of the proposed model is investigated by focusing primarily on mesoscopic properties elabora…
On the long-term correlations and multifractal properties of electric arc furnace time series
Lorenzo Livi, Enrico Maiorino, Antonello Rizzi +1
In this paper, we study long-term correlations and multifractal properties elaborated from time series of three-phase current signals coming from an industrial electric arc furnace…
Multifractal Characterization of Protein Contact Networks
Enrico Maiorino, Lorenzo Livi, Alessandro Giuliani +2
The multifractal detrended fluctuation analysis of time series is able to reveal the presence of long-range correlations and, at the same time, to characterize the self-similarity…
An Agent-Based Algorithm exploiting Multiple Local Dissimilarities for Clusters Mining and Knowledge Discovery
Filippo Maria Bianchi, Enrico Maiorino, Lorenzo Livi +2
We propose a multi-agent algorithm able to automatically discover relevant regularities in a given dataset, determining at the same time the set of configurations of the adopted pa…
Analysis of heat kernel highlights the strongly modular and heat-preserving structure of proteins
Lorenzo Livi, Enrico Maiorino, Andrea Pinna +3
In this paper, we study the structure and dynamical properties of protein contact networks with respect to other biological networks, together with simulated archetypal models acti…