Lorenzo Livi

发表

Classification of Type-2 Fuzzy Sets Represented as Sequences of Vertical Slices

Witold Pedrycz, Lorenzo Livi, Hooman Tahayori, 2016, IEEE Transactions on Fuzzy Systems.

On the Interpretation and Characterization of Echo State Networks Dynamics: A Complex Systems Perspective

Lorenzo Livi, Cesare Alippi, Filippo Maria Bianchi, 2018, Advances in Data Analysis with Computational Intelligence Methods.

Matching of time-varying labeled graphs

Lorenzo Livi, Antonello Rizzi, Filippo Maria Bianchi, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Autoregressive Models for Sequences of Graphs

Lorenzo Livi, Cesare Alippi, Daniele Zambon, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds

Lorenzo Livi, Cesare Alippi, Daniele Zambon, 2018, IEEE Transactions on Neural Networks and Learning Systems.

A new Granular Computing approach for sequences representation and classification

Lorenzo Livi, Antonello Rizzi, Fabio Massimo Frattale Mascioli, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Granular modeling and computing approaches for intelligent analysis of non-geometric data

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2015, Appl. Soft Comput..

Graph Neural Networks With Convolutional ARMA Filters pdf

Lorenzo Livi, Cesare Alippi, Filippo Maria Bianchi, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

On the Long-Term Correlations and Multifractal Properties of Electric Arc Furnace Time Series

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2015, Int. J. Bifurc. Chaos.

On the impact of topological properties of smart grids in power losses optimization problems pdf

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2015, ArXiv.

Characterization of Graphs for Protein Structure Modeling and Recognition of Solubility pdf

Alessandro Giuliani, Lorenzo Livi, Alireza Sadeghian, 2014, ArXiv.

A multiparametric method to assess the MIM deformable image registration algorithm

Cinzia Talamonti, Lorenzo Livi, Franco Fusi, 2019, Journal of applied clinical medical physics.

Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere

Lorenzo Livi, Cesare Alippi, Pietro Verzelli, 2019, Scientific Reports.

Parallel algorithms for tensor product-based inexact graph matching

Lorenzo Livi, Antonello Rizzi, A. Rizzi, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Toward a Multilevel Representation of Protein Molecules: Comparative Approaches to the Aggregation/Folding Propensity Problem pdf

Alessandro Giuliani, Lorenzo Livi, Antonello Rizzi, 2014, Inf. Sci..

Input representation in recurrent neural networks dynamics pdf

Lorenzo Livi, Cesare Alippi, Peter Tino, 2020, ArXiv.

Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2014, Neurocomputing.

On Multiscaling of Parkinsonian Rest Tremor Signals and Their Classification.

Lorenzo Livi, L. Livi, 2024, Advances in neurobiology.

Distance-Preserving Graph Embeddings from Random Neural Features pdf

Lorenzo Livi, Cesare Alippi, Daniele Zambon, 2019, ArXiv.

Entropic One-Class Classifiers

Witold Pedrycz, Lorenzo Livi, Alireza Sadeghian, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Change-Point Methods on a Sequence of Graphs

Lorenzo Livi, Cesare Alippi, Daniele Zambon, 2018, IEEE Transactions on Signal Processing.

Alessandro Giuliani, Lorenzo Livi, Antonello Rizzi, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Interpreting Recurrent Neural Networks Behaviour via Excitable Network Attractors

Lorenzo Livi, Peter Ashwin, Andrea Ceni, 2018, Cognitive Computation.

Hyper-spherical Reservoirs for Echo State Networks

Lorenzo Livi, Cesare Alippi, Pietro Verzelli, 2019, ICANN.

Graph Recognition by Seriation and Frequent Substructures Mining

Lorenzo Livi, Antonello Rizzi, Guido Del Vescovo, 2012, ICPRAM.

Learning representations of multivariate time series with missing data

Michael Kampffmeyer, Robert Jenssen, Lorenzo Livi, 2019, Pattern Recognit..

Detecting changes in sequences of attributed graphs

Lorenzo Livi, Cesare Alippi, Daniele Zambon, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Interval Type-2 Fuzzy Set Reconstruction Based on Fuzzy Information-Theoretic Kernels

Lorenzo Livi, Hooman Tahayori, Antonello Rizzi, 2015, IEEE Transactions on Fuzzy Systems.

Deep Divergence-Based Approach to Clustering

Michael Kampffmeyer, Robert Jenssen, Lorenzo Livi, 2019, Neural Networks.

An interpretable graph-based image classifier

Simone Scardapane, Aurelio Uncini, Lorenzo Livi, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Editorial: Booming of Neural Networks and Learning Systems

Akira Hirose, Pedro Antonio Gutiérrez, Haibo He, 2019, IEEE Trans. Neural Networks Learn. Syst..

Discrimination and Characterization of Parkinsonian Rest Tremors by Analyzing Long-Term Correlations and Multifractal Signatures

Lorenzo Livi, Alireza Sadeghian, A. Sadeghian, 2015, IEEE Transactions on Biomedical Engineering.

The echo index and multistability in input-driven recurrent neural networks

Lorenzo Livi, Andrea Ceni, Claire Postlethwaite, 2020, 2001.07694.

Seizure localisation with attention-based graph neural networks

Lorenzo Livi, Cesare Alippi, Taufik Valiante, 2020, bioRxiv.

Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization

Lorenzo Livi, Cesare Alippi, Filippo Maria Bianchi, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Time Series Kernel Similarities for Predicting Paroxysmal Atrial Fibrillation from ECGs

Miroslaw Malek, Lorenzo Livi, Filippo Maria Bianchi, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Matching general type-2 fuzzy sets by comparing the vertical slices

Lorenzo Livi, Hooman Tahayori, Antonello Rizzi, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

On the Problem of Modeling Structured Data with the MinSOD Representative

Lorenzo Livi, Antonello Rizzi, F. M. Frattale Mascioli, 2014 .

The graph matching problem

Lorenzo Livi, Antonello Rizzi, A. Rizzi, 2012, Pattern Analysis and Applications.

Investigating echo state networks dynamics by means of recurrence analysis

Lorenzo Livi, Cesare Alippi, Filippo Maria Bianchi, 2016, IEEE Trans. Neural Networks Learn. Syst..

Critical echo state network dynamics by means of Fisher information maximization

Robert Jenssen, Lorenzo Livi, Cesare Alippi, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2014, Inf. Sci..

Modeling the Uncertainty of a Set of Graphs Using Higher-Order Fuzzy Sets

Lorenzo Livi, Antonello Rizzi, A. Rizzi, 2015 .

Multiplex visibility graphs to investigate recurrent neural network dynamics

Robert Jenssen, Lorenzo Livi, Cesare Alippi, 2016, Scientific Reports.

Deep Kernelized Autoencoders pdf

Michael Kampffmeyer, Robert Jenssen, Lorenzo Livi, 2017, SCIA.

Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation

Lorenzo Livi, L. Livi, 2014, Entropy.

Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams pdf

Lorenzo Livi, Cesare Alippi, Daniele Zambon, 2018, ArXiv.

Inexact Graph Matching through Graph Coverage

Lorenzo Livi, Antonello Rizzi, Guido Del Vescovo, 2012, ICPRAM.

Data granulation by the principles of uncertainty

Lorenzo Livi, Alireza Sadeghian, A. Sadeghian, 2014, Pattern Recognit. Lett..

Aggregating α-planes for Type-2 fuzzy set matching

Lorenzo Livi, Hooman Tahayori, Antonello Rizzi, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

PV-0478 A new tool to test tracking systems based on tumour detection

Lorenzo Livi, Livia Marrazzo, Silvia Calusi, 2019 .

Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders pdf

Michael Kampffmeyer, Robert Jenssen, Lorenzo Livi, 2018, ArXiv.

Learn to Synchronize, Synchronize to Learn pdf

Lorenzo Livi, Cesare Alippi, Pietro Verzelli, 2020, Chaos.

Entropic One-Class Classifier pdf

Witold Pedrycz, Lorenzo Livi, Alireza Sadeghian, 2014, ArXiv.

Right-side-stretched multifractal spectra indicate small-worldness in networks

Lorenzo Livi, Pawel Oswiecimka, Stanislaw Drozdz, 2017, Commun. Nonlinear Sci. Numer. Simul..

An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2014, Soft Comput..

Fault recognition in smart grids by a one-class classification approach

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A CHARACTERIZATION OF THE EDGE OF CRITICALITY IN BINARY ECHO STATE NETWORKS

Lorenzo Livi, Cesare Alippi, Pietro Verzelli, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Two density-based k-means initialization algorithms for non-metric data clustering

Lorenzo Livi, Antonello Rizzi, Filippo Maria Bianchi, 2014, Pattern Analysis and Applications.

Data-driven detrending of nonstationary fractal time series with echo state networks pdf

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2015, Inf. Sci..

Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling

Lorenzo Livi, Cesare Alippi, Filippo Maria Bianchi, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction

Lorenzo Livi, Hooman Tahayori, Antonello Rizzi, 2015, Soft Comput..

Distinguishability of interval type-2 fuzzy sets data by analyzing upper and lower membership functions

Lorenzo Livi, Hooman Tahayori, Antonello Rizzi, 2014, Appl. Soft Comput..

One-class classifiers based on entropic spanning graphs

Lorenzo Livi, Cesare Alippi, L. Livi, 2016, IEEE transactions on neural networks and learning systems.

EP-1632: Spinal SBRT: improving plan quality using an existing database and a geometric parameter

Lorenzo Livi, Laura Masi, R. Doro, 2016 .

One-class classification through mutual information minimization

Lorenzo Livi, Cesare Alippi, L. Livi, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A generative model for protein contact networks

Alessandro Giuliani, Lorenzo Livi, Antonello Rizzi, 2015, Journal of biomolecular structure & dynamics.

Data-Driven Prediction of Freezing of Gait Events From Stepping Data

Prathyush P. Menon, Mark R. Wilson, Lorenzo Livi, 2020, Frontiers in Medical Technology.

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

A Granular Computing approach to the design of optimized graph classification systems

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2014, Soft Comput..

Granular computing, computational intelligence, and the analysis of non-geometric input spaces

Lorenzo Livi, Alireza Sadeghian, A. Sadeghian, 2016 .

Adversarial Autoencoders with Constant-Curvature Latent Manifolds

Lorenzo Livi, Cesare Alippi, Daniele Grattarola, 2019, Appl. Soft Comput..

A convergent and fully distributable SVMs training algorithm

Lorenzo Livi, Simone Sagratella, Andrea Manno, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Graph ambiguity

Lorenzo Livi, Antonello Rizzi, A. Rizzi, 2013, Fuzzy Sets Syst..

Concept Drift and Anomaly Detection in Graph Streams

Lorenzo Livi, Cesare Alippi, Daniele Zambon, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Deep divergence-based clustering

Michael Kampffmeyer, Robert Jenssen, Lorenzo Livi, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Interpreting RNN behaviour via excitable network attractors pdf

Lorenzo Livi, Peter Ashwin, Andrea Ceni, 2018, ArXiv.

Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings

Lorenzo Livi, Cesare Alippi, Daniele Zambon, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Building pattern recognition applications with the SPARE library pdf

Lorenzo Livi, Antonello Rizzi, Fabio Massimo Frattale Mascioli, 2014, ArXiv.

Graph Random Neural Features for Distance-Preserving Graph Representations

Lorenzo Livi, Cesare Alippi, Daniele Zambon, 2019, ICML.

Graph Neural Networks with distributed ARMA filters

Lorenzo Livi, Cesare Alippi, Filippo Maria Bianchi, 2019 .

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, 2014, J. Intell. Fuzzy Syst..

The Deep Kernelized Autoencoder pdf

Michael Kampffmeyer, Robert Jenssen, Lorenzo Livi, 2018, Appl. Soft Comput..

Learn to Synchronize, Synchronize to Learn

Lorenzo Livi, Cesare Alippi, Pietro Verzelli, 2021, Chaos.

Learning Graph Cellular Automata pdf

Lorenzo Livi, Cesare Alippi, Daniele Grattarola, 2021, NeurIPS.

Multifractal characterization of protein contact networks

Alessandro Giuliani, Lorenzo Livi, Antonello Rizzi, 2014, 1410.0890.

Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis

Lorenzo Livi, Cesare Alippi, Filippo Maria Bianchi, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Analysis of heat kernel highlights the strongly modular and heat-preserving structure of proteins

Alessandro Giuliani, Lorenzo Livi, Antonello Rizzi, 2014, 1409.1819.