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2020 – today
- 2023
[j38]Chanon Thongprayoon
, Lorenzo Livi, Naoki Masuda:
Embedding and Trajectories of Temporal Networks. IEEE Access 11: 41426-41443 (2023)- [i39]Daniele Zambon, Andrea Cini, Lorenzo Livi, Cesare Alippi:
Graph state-space models. CoRR abs/2301.01741 (2023) - 2022
- [j37]Daniele Grattarola, Lorenzo Livi, Cesare Alippi, Richard Wennberg, Taufik A. Valiante:
Seizure localisation with attention-based graph neural networks. Expert Syst. Appl. 203: 117330 (2022) - [j36]Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Graph Neural Networks With Convolutional ARMA Filters. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3496-3507 (2022) - [j35]Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2195-2207 (2022) - [j34]Pietro Verzelli, Cesare Alippi, Lorenzo Livi, Peter Tino:
Input-to-State Representation in Linear Reservoirs Dynamics. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4598-4609 (2022) - [c28]Sajjad Heydari, Lorenzo Livi:
Message Passing Neural Networks for Hypergraphs. ICANN (2) 2022: 583-592 - [c27]Daniele Zambon, Lorenzo Livi, Cesare Alippi:
Graph iForest: Isolation of anomalous and outlier graphs. IJCNN 2022: 1-8 - [i38]Sajjad Heydari, Lorenzo Livi:
Message Passing Neural Networks for Hypergraphs. CoRR abs/2203.16995 (2022) - [i37]Sajjad Heydari, Stefano Raniolo, Lorenzo Livi, Vittorio Limongelli:
Transferring Chemical and Energetic Knowledge Between Molecular Systems with Machine Learning. CoRR abs/2205.03339 (2022) - 2021
- [c26]Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Learning Graph Cellular Automata. NeurIPS 2021: 20983-20994 - [i36]Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Learning Graph Cellular Automata. CoRR abs/2110.14237 (2021) - 2020
- [j33]Andrea Ceni, Peter Ashwin, Lorenzo Livi:
Interpreting Recurrent Neural Networks Behaviour via Excitable Network Attractors. Cogn. Comput. 12(2): 330-356 (2020) - [j32]Daniele Grattarola, Daniele Zambon, Lorenzo Livi, Cesare Alippi:
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1856-1869 (2020) - [c25]Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Graph Random Neural Features for Distance-Preserving Graph Representations. ICML 2020: 10968-10977 - [i35]Pietro Verzelli, Cesare Alippi, Lorenzo Livi, Peter Tiño:
Input representation in recurrent neural networks dynamics. CoRR abs/2003.10585 (2020) - [i34]Pietro Verzelli, Cesare Alippi, Lorenzo Livi:
Learn to Synchronize, Synchronize to Learn. CoRR abs/2010.02860 (2020)
2010 – 2019
- 2019
- [j31]Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Adversarial autoencoders with constant-curvature latent manifolds. Appl. Soft Comput. 81 (2019) - [j30]Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen:
Deep divergence-based approach to clustering. Neural Networks 113: 91-101 (2019) - [j29]Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen:
Learning representations of multivariate time series with missing data. Pattern Recognit. 96 (2019) - [j28]Akira Hirose, Alessio Micheli, Artur S. d'Avila Garcez, Choon Ki Ahn, Gang Pan, Hamid Reza Karimi, Jianbing Shen, José de Jesús Rubio, Lei Zhang, Lingjia Liu, Lorenzo Livi, Nian Zhang, Nishchal K. Verma, Pedro Antonio Gutiérrez, Qi Tian, Qinglai Wei, Seiichi Ozawa, Stuart H. Rubin, Wei-Neng Chen, Xi Li, Xiaofeng Liao, Youmin Zhang, Zhen Ni, Haibo He:
Editorial: Booming of Neural Networks and Learning Systems. IEEE Trans. Neural Networks Learn. Syst. 30(1): 2-10 (2019) - [j27]Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Change-Point Methods on a Sequence of Graphs. IEEE Trans. Signal Process. 67(24): 6327-6341 (2019) - [c24]Cinzia Talamonti, Stefano Piffer, Daniela Greto, Monica Mangoni, Antonio Ciccarone, Paolo Dicarolo, Maria Evelina Fantacci, Franco Fusi, Piernicola Oliva, Letizia Palumbo, Claudio Favre, Lorenzo Livi, Stefania Pallotta, Alessandra Retico:
Radiomic and Dosiomic Profiling of Paediatric Medulloblastoma Tumours Treated with Intensity Modulated Radiation Therapy. CAIP Workshops 2019: 56-64 - [c23]Pietro Verzelli, Cesare Alippi, Lorenzo Livi:
Hyper-spherical Reservoirs for Echo State Networks. ICANN (Workshop) 2019: 89-93 - [c22]Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Autoregressive Models for Sequences of Graphs. IJCNN 2019: 1-8 - [i33]Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Graph Neural Networks with convolutional ARMA filters. CoRR abs/1901.01343 (2019) - [i32]Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen:
Deep Divergence-Based Approach to Clustering. CoRR abs/1902.04981 (2019) - [i31]Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Autoregressive Models for Sequences of Graphs. CoRR abs/1903.07299 (2019) - [i30]Pietro Verzelli, Cesare Alippi, Lorenzo Livi:
Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere. CoRR abs/1903.11691 (2019) - [i29]Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Distance-Preserving Graph Embeddings from Random Neural Features. CoRR abs/1909.03790 (2019) - [i28]Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling. CoRR abs/1910.11436 (2019) - 2018
- [j26]Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi:
The deep kernelized autoencoder. Appl. Soft Comput. 71: 816-825 (2018) - [j25]Pawel Oswiecimka, Lorenzo Livi, Stanislaw Drozdz:
Right-side-stretched multifractal spectra indicate small-worldness in networks. Commun. Nonlinear Sci. Numer. Simul. 57: 231-245 (2018) - [j24]Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi:
Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis. IEEE Trans. Neural Networks Learn. Syst. 29(2): 427-439 (2018) - [j23]Lorenzo Livi, Filippo Maria Bianchi, Cesare Alippi:
Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization. IEEE Trans. Neural Networks Learn. Syst. 29(3): 706-717 (2018) - [j22]Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Concept Drift and Anomaly Detection in Graph Streams. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5592-5605 (2018) - [c21]Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi:
On the Interpretation and Characterization of Echo State Networks Dynamics: A Complex Systems Perspective. Advances in Data Analysis with Computational Intelligence Methods 2018: 143-167 - [c20]Filippo Maria Bianchi, Lorenzo Livi, Alberto Ferrante, Jelena Milosevic, Miroslaw Malek:
Time Series Kernel Similarities for Predicting Paroxysmal Atrial Fibrillation from ECGs. IJCNN 2018: 1-8 - [c19]Daniele Zambon, Lorenzo Livi, Cesare Alippi:
Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. IJCNN 2018: 1-7 - [c18]Pietro Verzelli, Lorenzo Livi, Cesare Alippi:
A characterization of the Edge of Criticality in Binary echo State Networks. MLSP 2018: 1-6 - [i27]Filippo Maria Bianchi, Lorenzo Livi, Alberto Ferrante, Jelena Milosevic, Miroslaw Malek:
Time series kernel similarities for predicting Paroxysmal Atrial Fibrillation from ECGs. CoRR abs/1801.06845 (2018) - [i26]Daniele Zambon, Lorenzo Livi, Cesare Alippi:
Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. CoRR abs/1805.01360 (2018) - [i25]Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen:
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders. CoRR abs/1805.03473 (2018) - [i24]Daniele Grattarola, Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams. CoRR abs/1805.06299 (2018) - [i23]Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Change Point Methods on a Sequence of Graphs. CoRR abs/1805.07113 (2018) - [i22]Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi:
The Deep Kernelized Autoencoder. CoRR abs/1807.07868 (2018) - [i21]Andrea Ceni, Peter Ashwin, Lorenzo Livi:
Interpreting RNN behaviour via excitable network attractors. CoRR abs/1807.10478 (2018) - [i20]Pietro Verzelli, Lorenzo Livi, Cesare Alippi:
A characterization of the Edge of Criticality in Binary Echo State Networks. CoRR abs/1810.01742 (2018) - [i19]Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Adversarial Autoencoders with Constant-Curvature Latent Manifolds. CoRR abs/1812.04314 (2018) - 2017
- [j21]Lorenzo Livi:
Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation. Entropy 19(5): 216 (2017) - [j20]Enrico Maiorino, Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Data-driven detrending of nonstationary fractal time series with echo state networks. Inf. Sci. 382-383: 359-373 (2017) - [j19]Filippo Maria Bianchi, Enrico Maiorino, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery. Soft Comput. 21(5): 1347-1369 (2017) - [j18]Lorenzo Livi, Cesare Alippi:
One-Class Classifiers Based on Entropic Spanning Graphs. IEEE Trans. Neural Networks Learn. Syst. 28(12): 2846-2858 (2017) - [c17]Filippo Maria Bianchi, Lorenzo Livi, Robert Jenssen, Cesare Alippi:
Critical echo state network dynamics by means of Fisher information maximization. IJCNN 2017: 852-858 - [c16]Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen:
Deep divergence-based clustering. MLSP 2017: 1-6 - [c15]Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi:
Deep Kernelized Autoencoders. SCIA (1) 2017: 419-430 - [c14]Daniele Zambon, Lorenzo Livi, Cesare Alippi:
Detecting changes in sequences of attributed graphs. SSCI 2017: 1-7 - [i18]Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi:
Deep Kernelized Autoencoders. CoRR abs/1702.02526 (2017) - [i17]Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Concept Drift and Anomaly Detection in Graph Streams. CoRR abs/1706.06941 (2017) - 2016
- [j17]Lorenzo Livi, Enrico Maiorino, Antonello Rizzi, Alireza Sadeghian:
On the Long-Term Correlations and Multifractal Properties of Electric Arc Furnace Time Series. Int. J. Bifurc. Chaos 26(1): 1650007:1-1650007:9 (2016) - [j16]Lorenzo Livi, Alessandro Giuliani, Antonello Rizzi:
Toward a multilevel representation of protein molecules: Comparative approaches to the aggregation/folding propensity problem. Inf. Sci. 326: 134-145 (2016) - [j15]Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi:
Two density-based k-means initialization algorithms for non-metric data clustering. Pattern Anal. Appl. 19(3): 745-763 (2016) - [j14]Lorenzo Livi, Alireza Sadeghian, Hamid Sadeghian:
Discrimination and Characterization of Parkinsonian Rest Tremors by Analyzing Long-Term Correlations and Multifractal Signatures. IEEE Trans. Biomed. Eng. 63(11): 2243-2249 (2016) - [j13]Lorenzo Livi, Hooman Tahayori, Antonello Rizzi, Alireza Sadeghian, Witold Pedrycz:
Classification of Type-2 Fuzzy Sets Represented as Sequences of Vertical Slices. IEEE Trans. Fuzzy Syst. 24(5): 1022-1034 (2016) - [c13]Andrea Manno, Simone Sagratella, Lorenzo Livi:
A convergent and fully distributable SVMs training algorithm. IJCNN 2016: 3076-3080 - [c12]Lorenzo Livi, Cesare Alippi:
One-class classification through mutual information minimization. IJCNN 2016: 3314-3321 - [i16]Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi:
Investigating echo state networks dynamics by means of recurrence analysis. CoRR abs/1601.07381 (2016) - [i15]Lorenzo Livi, Filippo Maria Bianchi, Cesare Alippi:
Determination of the edge of criticality in echo state networks through Fisher information maximization. CoRR abs/1603.03685 (2016) - [i14]Lorenzo Livi, Cesare Alippi:
One-class classifiers based on entropic spanning graphs. CoRR abs/1604.02477 (2016) - [i13]Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi, Robert Jenssen:
Multiplex visibility graphs to investigate recurrent neural networks dynamics. CoRR abs/1609.03068 (2016) - 2015
- [j12]Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Granular modeling and computing approaches for intelligent analysis of non-geometric data. Appl. Soft Comput. 27: 567-574 (2015) - [j11]Enrico De Santis, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi:
Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification. Neurocomputing 170: 368-383 (2015) - [j10]Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Classifying sequences by the optimized dissimilarity space embedding approach: A case study on the solubility analysis of the E. coli proteome. J. Intell. Fuzzy Syst. 28(6): 2725-2733 (2015) - [j9]Lorenzo Livi, Alireza Sadeghian:
Data granulation by the principles of uncertainty. Pattern Recognit. Lett. 67: 113-121 (2015) - [j8]Masoomeh Moharrer, Hooman Tahayori, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi:
Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction. Soft Comput. 19(1): 237-250 (2015) - [j7]Hooman Tahayori, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi:
Interval Type-2 Fuzzy Set Reconstruction Based on Fuzzy Information-Theoretic Kernels. IEEE Trans. Fuzzy Syst. 23(4): 1014-1029 (2015) - [j6]Lorenzo Livi, Alireza Sadeghian, Witold Pedrycz:
Entropic One-Class Classifiers. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3187-3200 (2015) - [i12]Francesca Possemato, Maurizio Paschero, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
On the impact of topological properties of smart grids in power losses optimization problems. CoRR abs/1501.04659 (2015) - [i11]Lorenzo Livi, Alireza Sadeghian:
Discrimination and characterization of Parkinsonian rest tremors by analyzing long-term correlations and multifractal signatures. CoRR abs/1504.02756 (2015) - [i10]Enrico Maiorino, Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Data-driven detrending of nonstationary fractal time series with echo state networks. CoRR abs/1510.07146 (2015) - 2014
- [j5]Lorenzo Livi, Hooman Tahayori, Alireza Sadeghian, Antonello Rizzi:
Distinguishability of interval type-2 fuzzy sets data by analyzing upper and lower membership functions. Appl. Soft Comput. 17: 79-89 (2014) - [j4]Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Optimized dissimilarity space embedding for labeled graphs. Inf. Sci. 266: 47-64 (2014) - [j3]Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
A Granular Computing approach to the design of optimized graph classification systems. Soft Comput. 18(2): 393-412 (2014) - [c11]Enrico De Santis, Lorenzo Livi, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi:
Fault recognition in smart grids by a one-class classification approach. IJCNN 2014: 1949-1956 - [c10]Filippo Maria Bianchi, Simone Scardapane, Lorenzo Livi, Aurelio Uncini, Antonello Rizzi:
An interpretable graph-based image classifier. IJCNN 2014: 2339-2346 - [i9]Enrico De Santis, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi:
Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Measures and One-Class Classification. CoRR abs/1407.7008 (2014) - [i8]Lorenzo Livi, Alireza Sadeghian:
Data Granulation By the Principles of Uncertainty. CoRR abs/1407.7138 (2014) - [i7]Lorenzo Livi, Alireza Sadeghian, Witold Pedrycz:
Entropic One-Class Classifier. CoRR abs/1407.7556 (2014) - [i6]Lorenzo Livi, Alessandro Giuliani, Antonello Rizzi:
Toward a Multilevel Representation of Protein Molecules: Comparative Approaches to the Aggregation/Folding Propensity Problem. CoRR abs/1407.7559 (2014) - [i5]Lorenzo Livi, Alessandro Giuliani, Alireza Sadeghian:
Characterization of Graphs for Protein Structure Modeling and Recognition of Solubility. CoRR abs/1407.8033 (2014) - [i4]Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Classifying Sequences by the Optimized Dissimilarity Space Embedding Approach: a Case Study on the Solubility Analysis of the E. coli Proteome. CoRR abs/1408.3873 (2014) - [i3]Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation. CoRR abs/1408.5286 (2014) - [i2]Filippo Maria Bianchi, Enrico Maiorino, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
An Agent-Based Algorithm exploiting Multiple Local Dissimilarities for Clusters Mining and Knowledge Discovery. CoRR abs/1409.4988 (2014) - [i1]Lorenzo Livi, Guido Del Vescovo, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Building pattern recognition applications with the SPARE library. CoRR abs/1410.5263 (2014) - 2013
- [j2]Lorenzo Livi, Antonello Rizzi:
Graph ambiguity. Fuzzy Sets Syst. 221: 24-47 (2013) - [j1]Lorenzo Livi, Antonello Rizzi:
The graph matching problem. Pattern Anal. Appl. 16(3): 253-283 (2013) - [c9]Lorenzo Livi, Hooman Tahayori, Alireza Sadeghian, Antonello Rizzi:
Aggregating α-planes for Type-2 fuzzy set matching. IFSA/NAFIPS 2013: 860-865 - [c8]Antonello Rizzi, Lorenzo Livi, Hooman Tahayori, Alireza Sadeghian:
Matching general type-2 fuzzy sets by comparing the vertical slices. IFSA/NAFIPS 2013: 866-871 - [c7]Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi:
Matching of time-varying labeled graphs. IJCNN 2013: 1-8 - [c6]Lorenzo Livi, Filippo Maria Bianchi, Antonello Rizzi, Alireza Sadeghian:
Dissimilarity space embedding of labeled graphs by a clustering-based compression procedure. IJCNN 2013: 1-8 - [c5]Antonello Rizzi, Francesca Possemato, Lorenzo Livi, Azzurra Sebastiani, Alessandro Giuliani, Fabio Massimo Frattale Mascioli:
A dissimilarity-based classifier for generalized sequences by a granular computing approach. IJCNN 2013: 1-8 - 2012
- [c4]Lorenzo Livi, Guido Del Vescovo, Antonello Rizzi:
Graph Recognition by Seriation and Frequent Substructures Mining. ICPRAM (1) 2012: 186-191 - [c3]Lorenzo Livi, Guido Del Vescovo, Antonello Rizzi:
Inexact Graph Matching through Graph Coverage. ICPRAM (1) 2012: 269-272 - [c2]Lorenzo Livi, Antonello Rizzi:
Parallel algorithms for tensor product-based inexact graph matching. IJCNN 2012: 1-8 - [c1]Antonello Rizzi, Guido Del Vescovo, Lorenzo Livi, Fabio Massimo Frattale Mascioli:
A new Granular Computing approach for sequences representation and classification. IJCNN 2012: 1-8
Coauthor Index
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