Lorenzo Livi

ORCID

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 80

Top Venues

CoRR

IJCNN

IEEE Trans. Neural Networks Learn. Syst.

Appl. Soft Comput.

Publications

Chanon Thongprayoon, Lorenzo Livi, Naoki Masuda
Embedding and Trajectories of Temporal Networks. IEEE Access 11 (2023)
Daniele Zambon, Andrea Cini, Lorenzo Livi, Cesare Alippi
Graph state-space models. CoRR (2023)
Sajjad Heydari, Lorenzo Livi
Message Passing Neural Networks for Hypergraphs. ICANN (2) (2022)
Pietro Verzelli, Cesare Alippi, Lorenzo Livi, Peter Tino
Input-to-State Representation in Linear Reservoirs Dynamics. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Graph Neural Networks With Convolutional ARMA Filters. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Sajjad Heydari, Stefano Raniolo, Lorenzo Livi, Vittorio Limongelli
Transferring Chemical and Energetic Knowledge Between Molecular Systems with Machine Learning. CoRR (2022)
Sajjad Heydari, Lorenzo Livi
Message Passing Neural Networks for Hypergraphs. CoRR (2022)
Daniele Grattarola, Lorenzo Livi, Cesare Alippi, Richard Wennberg, Taufik A. Valiante
Seizure localisation with attention-based graph neural networks. Expert Syst. Appl. 203 (2022)
Daniele Zambon, Lorenzo Livi, Cesare Alippi
Graph iForest: Isolation of anomalous and outlier graphs. IJCNN (2022)
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) (2022)
Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Learning Graph Cellular Automata. CoRR (2021)
Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Learning Graph Cellular Automata. NeurIPS (2021)
Pietro Verzelli, Cesare Alippi, Lorenzo Livi, Peter Tiño
Input representation in recurrent neural networks dynamics. CoRR (2020)
Daniele Zambon, Cesare Alippi, Lorenzo Livi
Graph Random Neural Features for Distance-Preserving Graph Representations. ICML (2020)
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) (2020)
Andrea Ceni, Peter Ashwin, Lorenzo Livi
Interpreting Recurrent Neural Networks Behaviour via Excitable Network Attractors. Cogn. Comput. 12 (2) (2020)
Pietro Verzelli, Cesare Alippi, Lorenzo Livi
Learn to Synchronize, Synchronize to Learn. CoRR (2020)
Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Autoregressive Models for Sequences of Graphs. CoRR (2019)
Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Autoregressive Models for Sequences of Graphs. IJCNN (2019)
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)
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)
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Graph Neural Networks with convolutional ARMA filters. CoRR (2019)
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) (2019)
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
Deep Divergence-Based Approach to Clustering. CoRR (2019)
Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Adversarial autoencoders with constant-curvature latent manifolds. Appl. Soft Comput. 81 (2019)
Pietro Verzelli, Cesare Alippi, Lorenzo Livi
Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere. CoRR (2019)
Pietro Verzelli, Cesare Alippi, Lorenzo Livi
Hyper-spherical Reservoirs for Echo State Networks. ICANN (Workshop) (2019)
Daniele Zambon, Cesare Alippi, Lorenzo Livi
Distance-Preserving Graph Embeddings from Random Neural Features. CoRR (2019)
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling. CoRR (2019)
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
Deep divergence-based approach to clustering. Neural Networks 113 (2019)
Daniele Zambon, Cesare Alippi, Lorenzo Livi
Change-Point Methods on a Sequence of Graphs. IEEE Trans. Signal Process. 67 (24) (2019)
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)
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
The deep kernelized autoencoder. Appl. Soft Comput. 71 (2018)
Filippo Maria Bianchi, Lorenzo Livi, Alberto Ferrante, Jelena Milosevic, Miroslaw Malek
Time series kernel similarities for predicting Paroxysmal Atrial Fibrillation from ECGs. CoRR (2018)
Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Adversarial Autoencoders with Constant-Curvature Latent Manifolds. CoRR (2018)
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 (2018)
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
The Deep Kernelized Autoencoder. CoRR (2018)
Daniele Zambon, Lorenzo Livi, Cesare Alippi
Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. CoRR (2018)
Pietro Verzelli, Lorenzo Livi, Cesare Alippi
A characterization of the Edge of Criticality in Binary Echo State Networks. CoRR (2018)
Andrea Ceni, Peter Ashwin, Lorenzo Livi
Interpreting RNN behaviour via excitable network attractors. CoRR (2018)
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) (2018)
Daniele Zambon, Lorenzo Livi, Cesare Alippi
Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. IJCNN (2018)
Daniele Zambon, Cesare Alippi, Lorenzo Livi
Concept Drift and Anomaly Detection in Graph Streams. IEEE Trans. Neural Networks Learn. Syst. 29 (11) (2018)
Pietro Verzelli, Lorenzo Livi, Cesare Alippi
A characterization of the Edge of Criticality in Binary echo State Networks. MLSP (2018)
Filippo Maria Bianchi, Lorenzo Livi, Alberto Ferrante, Jelena Milosevic, Miroslaw Malek
Time Series Kernel Similarities for Predicting Paroxysmal Atrial Fibrillation from ECGs. IJCNN (2018)
Daniele Zambon, Cesare Alippi, Lorenzo Livi
Change Point Methods on a Sequence of Graphs. CoRR (2018)
Daniele Grattarola, Daniele Zambon, Cesare Alippi, Lorenzo Livi
Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams. CoRR (2018)
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) (2018)
Pawel Oswiecimka, Lorenzo Livi, Stanislaw Drozdz
Right-side-stretched multifractal spectra indicate small-worldness in networks. Commun. Nonlinear Sci. Numer. Simul. 57 (2018)
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
Deep Kernelized Autoencoders. CoRR (2017)
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) (2017)
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
Deep Kernelized Autoencoders. SCIA (1) (2017)
Daniele Zambon, Lorenzo Livi, Cesare Alippi
Detecting changes in sequences of attributed graphs. SSCI (2017)
Filippo Maria Bianchi, Lorenzo Livi, Robert Jenssen, Cesare Alippi
Critical echo state network dynamics by means of Fisher information maximization. IJCNN (2017)
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
Deep divergence-based clustering. MLSP (2017)
Lorenzo Livi
Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation. Entropy 19 (5) (2017)
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. (2017)
Lorenzo Livi, Cesare Alippi
One-Class Classifiers Based on Entropic Spanning Graphs. IEEE Trans. Neural Networks Learn. Syst. 28 (12) (2017)
Daniele Zambon, Cesare Alippi, Lorenzo Livi
Concept Drift and Anomaly Detection in Graph Streams. CoRR (2017)
Andrea Manno, Simone Sagratella, Lorenzo Livi
A convergent and fully distributable SVMs training algorithm. IJCNN (2016)
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) (2016)
Lorenzo Livi, Cesare Alippi
One-class classification through mutual information minimization. IJCNN (2016)
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) (2016)
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) (2016)
Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi
Two density-based k-means initialization algorithms for non-metric data clustering. Pattern Anal. Appl. 19 (3) (2016)
Lorenzo Livi, Filippo Maria Bianchi, Cesare Alippi
Determination of the edge of criticality in echo state networks through Fisher information maximization. CoRR (2016)
Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi
Investigating echo state networks dynamics by means of recurrence analysis. CoRR (2016)
Lorenzo Livi, Cesare Alippi
One-class classifiers based on entropic spanning graphs. CoRR (2016)
Lorenzo Livi, Alessandro Giuliani, Antonello Rizzi
Toward a multilevel representation of protein molecules: Comparative approaches to the aggregation/folding propensity problem. Inf. Sci. 326 (2016)
Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi, Robert Jenssen
Multiplex visibility graphs to investigate recurrent neural networks dynamics. CoRR (2016)
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) (2015)
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) (2015)
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) (2015)
Lorenzo Livi, Alireza Sadeghian
Discrimination and characterization of Parkinsonian rest tremors by analyzing long-term correlations and multifractal signatures. CoRR (2015)
Lorenzo Livi, Alireza Sadeghian
Data granulation by the principles of uncertainty. Pattern Recognit. Lett. 67 (2015)
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 (2015)
Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
Granular modeling and computing approaches for intelligent analysis of non-geometric data. Appl. Soft Comput. 27 (2015)
Enrico Maiorino, Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
Data-driven detrending of nonstationary fractal time series with echo state networks. CoRR (2015)
Lorenzo Livi, Alireza Sadeghian, Witold Pedrycz
Entropic One-Class Classifiers. IEEE Trans. Neural Networks Learn. Syst. 26 (12) (2015)
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 (2015)
Lorenzo Livi, Guido Del Vescovo, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Building pattern recognition applications with the SPARE library. CoRR (2014)
Lorenzo Livi, Alessandro Giuliani, Alireza Sadeghian
Characterization of Graphs for Protein Structure Modeling and Recognition of Solubility. CoRR (2014)
Lorenzo Livi, Alessandro Giuliani, Antonello Rizzi
Toward a Multilevel Representation of Protein Molecules: Comparative Approaches to the Aggregation/Folding Propensity Problem. CoRR (2014)
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 (2014)
Filippo Maria Bianchi, Simone Scardapane, Lorenzo Livi, Aurelio Uncini, Antonello Rizzi
An interpretable graph-based image classifier. IJCNN (2014)
Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation. CoRR (2014)
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 (2014)
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 (2014)
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 (2014)
Lorenzo Livi, Alireza Sadeghian, Witold Pedrycz
Entropic One-Class Classifier. CoRR (2014)
Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
Optimized dissimilarity space embedding for labeled graphs. Inf. Sci. 266 (2014)
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) (2014)
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)
Lorenzo Livi, Alireza Sadeghian
Data Granulation By the Principles of Uncertainty. CoRR (2014)
Antonello Rizzi, Lorenzo Livi, Hooman Tahayori, Alireza Sadeghian
Matching general type-2 fuzzy sets by comparing the vertical slices. IFSA/NAFIPS (2013)
Lorenzo Livi, Hooman Tahayori, Alireza Sadeghian, Antonello Rizzi
Aggregating α-planes for Type-2 fuzzy set matching. IFSA/NAFIPS (2013)
Lorenzo Livi, Antonello Rizzi
The graph matching problem. Pattern Anal. Appl. 16 (3) (2013)
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)
Lorenzo Livi, Filippo Maria Bianchi, Antonello Rizzi, Alireza Sadeghian
Dissimilarity space embedding of labeled graphs by a clustering-based compression procedure. IJCNN (2013)
Lorenzo Livi, Antonello Rizzi
Graph ambiguity. Fuzzy Sets Syst. 221 (2013)

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Publication Activity (10 Years)

Top Topics

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Lorenzo Livi