most citedModeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Learning and One-Class Classification

57 citations · 130 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.BM201426 cited

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…

cs.CV20148 cited

Building pattern recognition applications with the SPARE library

Lorenzo Livi, Guido Del Vescovo, Antonello Rizzi +1

This paper presents the SPARE C++ library, an open source software tool conceived to build pattern recognition and soft computing systems. The library follows the requirement of th…

cs.CV201424 cited

Entropic one-class classifiers

Lorenzo Livi, Alireza Sadeghian, Witold Pedrycz

The one-class classification problem is a well-known research endeavor in pattern recognition. The problem is also known under different names, such as outlier and novelty/anomaly…

cs.AI201415 cited

Data granulation by the principles of uncertainty

Lorenzo Livi, Alireza Sadeghian

Researches in granular modeling produced a variety of mathematical models, such as intervals, (higher-order) fuzzy sets, rough sets, and shadowed sets, which are all suitable to ch…

cs.AI201457 cited

Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Learning and One-Class Classification

Enrico De Santis, Lorenzo Livi, Alireza Sadeghian +1

Detecting faults in electrical power grids is of paramount importance, either from the electricity operator and consumer viewpoints. Modern electric power grids (smart grids) are e…