88 citations · 405 across the 16 of their papers we have counts for
9 papers · 1 filter
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…
Designing labeled graph classifiers by exploiting the Rényi entropy of the dissimilarity representation
Lorenzo Livi
Representing patterns as labeled graphs is becoming increasingly common in the broad field of computational intelligence. Accordingly, a wide repertoire of pattern recognition tool…
Classifying sequences by the optimized dissimilarity space embedding approach: a case study on the solubility analysis of the E. coli proteome
Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
We evaluate a version of the recently-proposed classification system named Optimized Dissimilarity Space Embedding (ODSE) that operates in the input space of sequences of generic o…
Characterization of graphs for protein structure modeling and recognition of solubility
Lorenzo Livi, Alessandro Giuliani, Alireza Sadeghian
This paper deals with the relations among structural, topological, and chemical properties of the E.Coli proteome from the vantage point of the solubility/aggregation propensity of…
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…
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…
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…