Graph neural networks with convolutional arma filters FM Bianchi, D Grattarola, L Livi, C Alippi IEEE transactions on pattern analysis and machine intelligence 44 (7), 3496-3507, 2021 | 450 | 2021 |
The graph matching problem L Livi, A Rizzi Pattern Analysis and Applications 16, 253-283, 2013 | 216 | 2013 |
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 | 119 | 2016 |
Granular computing, computational intelligence, and the analysis of non-geometric input spaces L Livi, A Sadeghian Granular Computing 1, 13-20, 2016 | 108 | 2016 |
Use of nivolumab in elderly patients with advanced squamous non–small-cell lung cancer: results from the Italian cohort of an expanded access programme F Grossi, L Crinò, A Logroscino, S Canova, A Delmonte, B Melotti, C Proto, ... European Journal of Cancer 100, 126-134, 2018 | 91 | 2018 |
Efficacy of nivolumab in pre-treated non-small-cell lung cancer patients harbouring KRAS mutations F Passiglia, F Cappuzzo, O Alabiso, AC Bettini, P Bidoli, R Chiari, ... British journal of cancer 120 (1), 57-62, 2019 | 76 | 2019 |
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 | 73 | 2017 |
Deep divergence-based approach to clustering M Kampffmeyer, S Løkse, FM Bianchi, L Livi, AB Salberg, R Jenssen Neural Networks 113, 91-101, 2019 | 66 | 2019 |
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 | 66 | 2015 |
Learning representations of multivariate time series with missing data FM Bianchi, L Livi, KØ Mikalsen, M Kampffmeyer, R Jenssen Pattern Recognition 96, 106973, 2019 | 65 | 2019 |
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 | 60 | 2018 |
Hierarchical representation learning in graph neural networks with node decimation pooling FM Bianchi, D Grattarola, L Livi, C Alippi IEEE Transactions on Neural Networks and Learning Systems 33 (5), 2195-2207, 2020 | 58 | 2020 |
A granular computing approach to the design of optimized graph classification systems FM Bianchi, L Livi, A Rizzi, A Sadeghian Soft Computing 18, 393-412, 2014 | 54 | 2014 |
Interpreting recurrent neural networks behaviour via excitable network attractors A Ceni, P Ashwin, L Livi Cognitive Computation 12 (2), 330-356, 2020 | 52 | 2020 |
Optimized dissimilarity space embedding for labeled graphs L Livi, A Rizzi, A Sadeghian Information Sciences 266, 47-64, 2014 | 44 | 2014 |
Change detection in graph streams by learning graph embeddings on constant-curvature manifolds D Grattarola, D Zambon, L Livi, C Alippi IEEE Transactions on neural networks and learning systems 31 (6), 1856-1869, 2019 | 43 | 2019 |
Multiplex visibility graphs to investigate recurrent neural network dynamics FM Bianchi, L Livi, C Alippi, R Jenssen Scientific reports 7 (1), 44037, 2017 | 40 | 2017 |
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 | 38 | 2016 |
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, 237-250, 2015 | 38 | 2015 |
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 | 37 | 2014 |