Lorenzo Livi
Lorenzo Livi
University of Manitoba and University of Exeter
Verified email at umanitoba.ca - Homepage
Cited by
Cited by
The graph matching problem
L Livi, A Rizzi
Pattern Analysis and Applications 16 (3), 253-283, 2013
Graph neural networks with convolutional arma filters
FM Bianchi, D Grattarola, L Livi, C Alippi
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Granular computing, computational intelligence, and the analysis of non-geometric input spaces
L Livi, A Sadeghian
Granular Computing 1 (1), 13-20, 2016
Investigating echo-state networks dynamics by means of recurrence analysis
FM Bianchi, L Livi, C Alippi
IEEE transactions on neural networks and learning systems 29 (2), 427-439, 2016
Determination of the edge of criticality in echo state networks through Fisher information maximization
L Livi, FM Bianchi, C Alippi
IEEE transactions on neural networks and learning systems 29 (3), 706-717, 2017
Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification
E De Santis, L Livi, A Sadeghian, A Rizzi
Neurocomputing 170, 368-383, 2015
A granular computing approach to the design of optimized graph classification systems
FM Bianchi, L Livi, A Rizzi, A Sadeghian
Soft Computing 18 (2), 393-412, 2014
Optimized dissimilarity space embedding for labeled graphs
L Livi, A Rizzi, A Sadeghian
Information Sciences 266, 47-64, 2014
Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction
M Moharrer, H Tahayori, L Livi, A Sadeghian, A Rizzi
Soft Computing 19 (1), 237-250, 2015
Concept Drift and Anomaly Detection in Graph Streams
D Zambon, C Alippi, L Livi
IEEE Transactions on Neural Networks and Learning Systems, 1-14, 2018
On the impact of topological properties of smart grids in power losses optimization problems
F Possemato, M Paschero, L Livi, A Rizzi, A Sadeghian
International Journal of Electrical Power & Energy Systems 78, 755-764, 2016
On the problem of modeling structured data with the MinSOD representative
G Del Vescovo, L Livi, FMF Mascioli, A Rizzi
International Journal of Computer Theory and Engineering 6 (1), 9, 2014
Graph ambiguity
L Livi, A Rizzi
Fuzzy Sets and Systems 221, 24-47, 2013
Multiplex visibility graphs to investigate recurrent neural network dynamics
FM Bianchi, L Livi, C Alippi, R Jenssen
Scientific reports 7 (1), 1-13, 2017
Learning representations of multivariate time series with missing data
FM Bianchi, L Livi, KŲ Mikalsen, M Kampffmeyer, R Jenssen
Pattern Recognition 96, 106973, 2019
Two density-based k-means initialization algorithms for non-metric data clustering
FM Bianchi, L Livi, A Rizzi
Pattern Analysis and Applications 19 (3), 745-763, 2016
A new granular computing approach for sequences representation and classification
A Rizzi, G Del Vescovo, L Livi, FMF Mascioli
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012
Interpreting recurrent neural networks behaviour via excitable network attractors
A Ceni, P Ashwin, L Livi
Cognitive Computation 12 (2), 330-356, 2020
Deep divergence-based approach to clustering
M Kampffmeyer, S Lųkse, FM Bianchi, L Livi, AB Salberg, R Jenssen
Neural Networks 113, 91-101, 2019
Multifractal characterization of protein contact networks
E Maiorino, L Livi, A Giuliani, A Sadeghian, A Rizzi
Physica A: Statistical Mechanics and its Applications 428, 302-313, 2015
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