Graph Recognition by Seriation and Frequent Substructures Mining. - Lorenzo Livi; Guido Del Vescovo; Antonello Rizzi (ICPRAM (1), 2012)

Inexact Graph Matching through Graph Coverage. - Lorenzo Livi; Guido Del Vescovo; Antonello Rizzi (ICPRAM (1), 2012)

Parallel algorithms for tensor product-based inexact graph matching. - Lorenzo Livi; Antonello Rizzi (IJCNN, 2012)

A new Granular Computing approach for sequences representation and classification. - Antonello Rizzi; Guido Del Vescovo; Lorenzo Livi; Fabio Massimo Frattale Mascioli (IJCNN, 2012)

Aggregating α-planes for Type-2 fuzzy set matching. - Lorenzo Livi; Hooman Tahayori; Alireza Sadeghian; Antonello Rizzi (IFSA/NAFIPS, 2013)

Matching general type-2 fuzzy sets by comparing the vertical slices. - Antonello Rizzi; Lorenzo Livi; Hooman Tahayori; Alireza Sadeghian (IFSA/NAFIPS, 2013)

Matching of time-varying labeled graphs. - Filippo Maria Bianchi; Lorenzo Livi; Antonello Rizzi (IJCNN, 2013)

Dissimilarity space embedding of labeled graphs by a clustering-based compression procedure. - Lorenzo Livi; Filippo Maria Bianchi; Antonello Rizzi; Alireza Sadeghian (IJCNN, 2013)

A dissimilarity-based classifier for generalized sequences by a granular computing approach. - Antonello Rizzi; Francesca Possemato; Lorenzo Livi; Azzurra Sebastiani; Alessandro Giuliani; Fabio Massimo Frattale Mascioli (IJCNN, 2013)

Graph ambiguity. - Lorenzo Livi; Antonello Rizzi (Fuzzy Sets Syst., 2013)

The graph matching problem. - Lorenzo Livi; Antonello Rizzi (Pattern Anal. Appl., 2013)

An interpretable graph-based image classifier. - Filippo Maria Bianchi; Simone Scardapane; Lorenzo Livi; Aurelio Uncini; Antonello Rizzi (IJCNN, 2014)

Fault recognition in smart grids by a one-class classification approach. - Enrico De Santis; Lorenzo Livi; Fabio Massimo Frattale Mascioli; Alireza Sadeghian; Antonello Rizzi (IJCNN, 2014)

Distinguishability of interval type-2 fuzzy sets data by analyzing upper and lower membership functions. - Lorenzo Livi; Hooman Tahayori; Alireza Sadeghian; Antonello Rizzi (Appl. Soft Comput., 2014)

Characterization of Graphs for Protein Structure Modeling and Recognition of Solubility. - Lorenzo Livi; Alessandro Giuliani; Alireza Sadeghian (CoRR, 2014)

Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation. - Lorenzo Livi; Antonello Rizzi; Alireza Sadeghian (CoRR, 2014)

Entropic One-Class Classifier. - Lorenzo Livi; Alireza Sadeghian; Witold Pedrycz (CoRR, 2014)

Building pattern recognition applications with the SPARE library. - Lorenzo Livi; Guido Del Vescovo; Antonello Rizzi; Fabio Massimo Frattale Mascioli (CoRR, 2014)

Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Measures and One-Class Classification. - Enrico De Santis; Lorenzo Livi; Alireza Sadeghian; Antonello Rizzi (CoRR, 2014)

Optimized dissimilarity space embedding for labeled graphs. - Lorenzo Livi; Antonello Rizzi; Alireza Sadeghian (Inf. Sci., 2014)

A Granular Computing approach to the design of optimized graph classification systems. - Filippo Maria Bianchi; Lorenzo Livi; Antonello Rizzi; Alireza Sadeghian (Soft Comput., 2014)

Granular modeling and computing approaches for intelligent analysis of non-geometric data. - Lorenzo Livi; Antonello Rizzi; Alireza Sadeghian (Appl. Soft Comput., 2015)

Discrimination and characterization of Parkinsonian rest tremors by analyzing long-term correlations and multifractal signatures. - Lorenzo Livi; Alireza Sadeghian (CoRR, 2015)

On the impact of topological properties of smart grids in power losses optimization problems. - Francesca Possemato; Maurizio Paschero; Lorenzo Livi; Antonello Rizzi; Alireza Sadeghian (CoRR, 2015)

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; Antonello Rizzi (Neurocomputing, 2015)

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 (J. Intell. Fuzzy Syst., 2015)

Data granulation by the principles of uncertainty. - Lorenzo Livi; Alireza Sadeghian (Pattern Recognit. Lett., 2015)

Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction. - Masoomeh Moharrer; Hooman Tahayori; Lorenzo Livi; Alireza Sadeghian; Antonello Rizzi (Soft Comput., 2015)

Interval Type-2 Fuzzy Set Reconstruction Based on Fuzzy Information-Theoretic Kernels. - Hooman Tahayori; Lorenzo Livi; Alireza Sadeghian; Antonello Rizzi (IEEE Trans. Fuzzy Syst., 2015)

Entropic One-Class Classifiers. - Lorenzo Livi; Alireza Sadeghian; Witold Pedrycz (IEEE Trans. Neural Networks Learn. Syst., 2015)

One-class classification through mutual information minimization. - Lorenzo Livi; Cesare Alippi (IJCNN, 2016)

A convergent and fully distributable SVMs training algorithm. - Andrea Manno; Simone Sagratella; Lorenzo Livi (IJCNN, 2016)

Multiplex visibility graphs to investigate recurrent neural networks dynamics. - Filippo Maria Bianchi; Lorenzo Livi; Cesare Alippi; Robert Jenssen (CoRR, 2016)

On the Long-Term Correlations and Multifractal Properties of Electric Arc Furnace Time Series. - Lorenzo Livi; Enrico Maiorino; Antonello Rizzi; Alireza Sadeghian (Int. J. Bifurc. Chaos, 2016)

Toward a multilevel representation of protein molecules: Comparative approaches to the aggregation/folding propensity problem. - Lorenzo Livi; Alessandro Giuliani; Antonello Rizzi (Inf. Sci., 2016)

Two density-based k-means initialization algorithms for non-metric data clustering. - Filippo Maria Bianchi; Lorenzo Livi; Antonello Rizzi (Pattern Anal. Appl., 2016)

Discrimination and Characterization of Parkinsonian Rest Tremors by Analyzing Long-Term Correlations and Multifractal Signatures. - Lorenzo Livi; Alireza Sadeghian; Hamid Sadeghian (IEEE Trans. Biomed. Eng., 2016)

Classification of Type-2 Fuzzy Sets Represented as Sequences of Vertical Slices. - Lorenzo Livi; Hooman Tahayori; Antonello Rizzi; Alireza Sadeghian; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2016)

Critical echo state network dynamics by means of Fisher information maximization. - Filippo Maria Bianchi; Lorenzo Livi; Robert Jenssen; Cesare Alippi (IJCNN, 2017)

Deep divergence-based clustering. - Michael Kampffmeyer; Sigurd Løkse; Filippo Maria Bianchi; Lorenzo Livi; Arnt-Børre Salberg; Robert Jenssen (MLSP, 2017)

Deep Kernelized Autoencoders. - Michael Kampffmeyer; Sigurd Løkse; Filippo Maria Bianchi; Robert Jenssen; Lorenzo Livi (SCIA (1), 2017)

Detecting changes in sequences of attributed graphs. - Daniele Zambon; Lorenzo Livi; Cesare Alippi (SSCI, 2017)

Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation. - Lorenzo Livi (Entropy, 2017)

Data-driven detrending of nonstationary fractal time series with echo state networks. - Enrico Maiorino; Filippo Maria Bianchi; Lorenzo Livi; Antonello Rizzi; Alireza Sadeghian (Inf. Sci., 2017)

An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery. - Filippo Maria Bianchi; Enrico Maiorino; Lorenzo Livi; Antonello Rizzi; Alireza Sadeghian (Soft Comput., 2017)

One-Class Classifiers Based on Entropic Spanning Graphs. - Lorenzo Livi; Cesare Alippi (IEEE Trans. Neural Networks Learn. Syst., 2017)

On the Interpretation and Characterization of Echo State Networks Dynamics: A Complex Systems Perspective. - Filippo Maria Bianchi; Lorenzo Livi; Cesare Alippi (Advances in Data Analysis with Computational Intelligence Methods, 2018)

Time Series Kernel Similarities for Predicting Paroxysmal Atrial Fibrillation from ECGs. - Filippo Maria Bianchi; Lorenzo Livi; Alberto Ferrante; Jelena Milosevic; Miroslaw Malek (IJCNN, 2018)

Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. - Daniele Zambon; Lorenzo Livi; Cesare Alippi (IJCNN, 2018)

A characterization of the Edge of Criticality in Binary echo State Networks. - Pietro Verzelli; Lorenzo Livi; Cesare Alippi (MLSP, 2018)

The deep kernelized autoencoder. - Michael Kampffmeyer; Sigurd Løkse; Filippo Maria Bianchi; Robert Jenssen; Lorenzo Livi (Appl. Soft Comput., 2018)

Right-side-stretched multifractal spectra indicate small-worldness in networks. - Pawel Oswiecimka; Lorenzo Livi; Stanislaw Drozdz (Commun. Nonlinear Sci. Numer. Simul., 2018)

Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders. - Filippo Maria Bianchi; Lorenzo Livi; Karl Øyvind Mikalsen; Michael Kampffmeyer; Robert Jenssen (CoRR, 2018)

Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams. - Daniele Grattarola; Daniele Zambon; Cesare Alippi; Lorenzo Livi (CoRR, 2018)

Interpreting RNN behaviour via excitable network attractors. - Andrea Ceni; Peter Ashwin; Lorenzo Livi (CoRR, 2018)

Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis. - Filippo Maria Bianchi; Lorenzo Livi; Cesare Alippi (IEEE Trans. Neural Networks Learn. Syst., 2018)

Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization. - Lorenzo Livi; Filippo Maria Bianchi; Cesare Alippi (IEEE Trans. Neural Networks Learn. Syst., 2018)

Concept Drift and Anomaly Detection in Graph Streams. - Daniele Zambon; Cesare Alippi; Lorenzo Livi (IEEE Trans. Neural Networks Learn. Syst., 2018)

Radiomic and Dosiomic Profiling of Paediatric Medulloblastoma Tumours Treated with Intensity Modulated Radiation Therapy. - 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; et al. (CAIP Workshops, 2019)

Hyper-spherical Reservoirs for Echo State Networks. - Pietro Verzelli; Cesare Alippi; Lorenzo Livi (ICANN (Workshop), 2019)

Autoregressive Models for Sequences of Graphs. - Daniele Zambon; Daniele Grattarola; Lorenzo Livi; Cesare Alippi (IJCNN, 2019)

Adversarial autoencoders with constant-curvature latent manifolds. - Daniele Grattarola; Lorenzo Livi; Cesare Alippi (Appl. Soft Comput., 2019)

Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere. - Pietro Verzelli; Cesare Alippi; Lorenzo Livi (CoRR, 2019)

Distance-Preserving Graph Embeddings from Random Neural Features. - Daniele Zambon; Cesare Alippi; Lorenzo Livi (CoRR, 2019)

Deep divergence-based approach to clustering. - Michael Kampffmeyer; Sigurd Løkse; Filippo Maria Bianchi; Lorenzo Livi; Arnt-Børre Salberg; Robert Jenssen (Neural Networks, 2019)

Learning representations of multivariate time series with missing data. - Filippo Maria Bianchi; Lorenzo Livi; Karl Øyvind Mikalsen; Michael Kampffmeyer; Robert Jenssen (Pattern Recognit., 2019)

Editorial: Booming of Neural Networks and Learning Systems. - Akira Hirose 001; Alessio Micheli; Artur S. d'Avila Garcez; Choon Ki Ahn; Gang Pan 001; Hamid Reza Karimi; Jianbing Shen; José de Jesús Rubio; Lei Zhang 005; Lingjia Liu 001; Lorenzo Livi; Nian Zhang; et al. (IEEE Trans. Neural Networks Learn. Syst., 2019)

Change-Point Methods on a Sequence of Graphs. - Daniele Zambon; Cesare Alippi; Lorenzo Livi (IEEE Trans. Signal Process., 2019)

Graph Random Neural Features for Distance-Preserving Graph Representations. - Daniele Zambon; Cesare Alippi; Lorenzo Livi (ICML, 2020)

Interpreting Recurrent Neural Networks Behaviour via Excitable Network Attractors. - Andrea Ceni; Peter Ashwin; Lorenzo Livi (Cogn. Comput., 2020)

Input representation in recurrent neural networks dynamics. - Pietro Verzelli; Cesare Alippi; Lorenzo Livi; Peter Tiño (CoRR, 2020)

Learn to Synchronize, Synchronize to Learn. - Pietro Verzelli; Cesare Alippi; Lorenzo Livi (CoRR, 2020)

Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds. - Daniele Grattarola; Daniele Zambon; Lorenzo Livi; Cesare Alippi (IEEE Trans. Neural Networks Learn. Syst., 2020)

Learning Graph Cellular Automata. - Daniele Grattarola; Lorenzo Livi; Cesare Alippi (NeurIPS, 2021)

Message Passing Neural Networks for Hypergraphs. - Sajjad Heydari; Lorenzo Livi (ICANN (2), 2022)

Graph iForest: Isolation of anomalous and outlier graphs. - Daniele Zambon; Lorenzo Livi; Cesare Alippi (IJCNN, 2022)

Transferring Chemical and Energetic Knowledge Between Molecular Systems with Machine Learning. - Sajjad Heydari; Stefano Raniolo; Lorenzo Livi; Vittorio Limongelli (CoRR, 2022)

Seizure localisation with attention-based graph neural networks. - Daniele Grattarola; Lorenzo Livi; Cesare Alippi; Richard Wennberg; Taufik A. Valiante (Expert Syst. Appl., 2022)

Graph Neural Networks With Convolutional ARMA Filters. - Filippo Maria Bianchi; Daniele Grattarola; Lorenzo Livi; Cesare Alippi (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling. - Filippo Maria Bianchi; Daniele Grattarola; Lorenzo Livi; Cesare Alippi (IEEE Trans. Neural Networks Learn. Syst., 2022)

Input-to-State Representation in Linear Reservoirs Dynamics. - Pietro Verzelli; Cesare Alippi; Lorenzo Livi; Peter Tino (IEEE Trans. Neural Networks Learn. Syst., 2022)

Embedding and Trajectories of Temporal Networks. - Chanon Thongprayoon; Lorenzo Livi; Naoki Masuda (IEEE Access, 2023)

Graph state-space models. - Daniele Zambon; Andrea Cini; Lorenzo Livi; Cesare Alippi (CoRR, 2023)

Time-Scale Coupling Between States and Parameters in Recurrent Neural Networks. - Lorenzo Livi (CoRR, 2025)