Lorenzo Livi - RankMe

108 papers A* 2B 14Journal 80Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Evolving Role of Radiation Therapy Technologists in Head and Neck Cancer: A Narrative Review and Operational Framework. J. Imaging Andrea Lastrucci, Ilaria Morelli, Nicola Iosca, Isacco Desideri, Eva Serventi, Yannick Wandael, Carlotta Becherini, Viola Salvestrini, Vittorio Miele, Renzo Ricci, Lorenzo Livi, Pierluigi Bonomo, Daniele Giansanti
2025	J	`jnl`	Learnability Window in Gated Recurrent Neural Networks. CoRR Lorenzo Livi
2025	J	`jnl`	Time-Scale Coupling Between States and Parameters in Recurrent Neural Networks. CoRR Lorenzo Livi
2023	J	`jnl`	Embedding and Trajectories of Temporal Networks. IEEE Access Chanon Thongprayoon, Lorenzo Livi, Naoki Masuda
2023	J	`jnl`	Graph state-space models. CoRR Daniele Zambon, Andrea Cini, Lorenzo Livi, Cesare Alippi
2022	J	`jnl`	Graph Neural Networks With Convolutional ARMA Filters. IEEE Trans. Pattern Anal. Mach. Intell. Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2022	B	`conf`	Graph iForest: Isolation of anomalous and outlier graphs. IJCNN Daniele Zambon, Lorenzo Livi, Cesare Alippi
2022	J	`jnl`	Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling. IEEE Trans. Neural Networks Learn. Syst. Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2022	J	`jnl`	Input-to-State Representation in Linear Reservoirs Dynamics. IEEE Trans. Neural Networks Learn. Syst. Pietro Verzelli, Cesare Alippi, Lorenzo Livi, Peter Tino
2022	—	`conf`	Message Passing Neural Networks for Hypergraphs. ICANN (2) Sajjad Heydari, Lorenzo Livi
2022	J	`jnl`	Message Passing Neural Networks for Hypergraphs. CoRR Sajjad Heydari, Lorenzo Livi
2022	J	`jnl`	Seizure localisation with attention-based graph neural networks. Expert Syst. Appl. Daniele Grattarola, Lorenzo Livi, Cesare Alippi, Richard Wennberg, Taufik A. Valiante
2022	J	`jnl`	Transferring Chemical and Energetic Knowledge Between Molecular Systems with Machine Learning. CoRR Sajjad Heydari, Stefano Raniolo, Lorenzo Livi, Vittorio Limongelli
2021	A*	`conf`	Learning Graph Cellular Automata. NeurIPS Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2021	J	`jnl`	Learning Graph Cellular Automata. CoRR Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2020	J	`jnl`	Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds. IEEE Trans. Neural Networks Learn. Syst. Daniele Grattarola, Daniele Zambon, Lorenzo Livi, Cesare Alippi
2020	A*	`conf`	Graph Random Neural Features for Distance-Preserving Graph Representations. ICML Daniele Zambon, Cesare Alippi, Lorenzo Livi
2020	J	`jnl`	Input representation in recurrent neural networks dynamics. CoRR Pietro Verzelli, Cesare Alippi, Lorenzo Livi, Peter Tiño
2020	J	`jnl`	Interpreting Recurrent Neural Networks Behaviour via Excitable Network Attractors. Cogn. Comput. Andrea Ceni, Peter Ashwin, Lorenzo Livi
2020	J	`jnl`	Learn to Synchronize, Synchronize to Learn. CoRR Pietro Verzelli, Cesare Alippi, Lorenzo Livi
2019	J	`jnl`	Adversarial autoencoders with constant-curvature latent manifolds. Appl. Soft Comput. Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019	B	`conf`	Autoregressive Models for Sequences of Graphs. IJCNN Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019	J	`jnl`	Autoregressive Models for Sequences of Graphs. CoRR Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019	J	`jnl`	Change-Point Methods on a Sequence of Graphs. IEEE Trans. Signal Process. Daniele Zambon, Cesare Alippi, Lorenzo Livi
2019	J	`jnl`	Deep Divergence-Based Approach to Clustering. CoRR Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
2019	J	`jnl`	Deep divergence-based approach to clustering. Neural Networks Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
2019	J	`jnl`	Distance-Preserving Graph Embeddings from Random Neural Features. CoRR Daniele Zambon, Cesare Alippi, Lorenzo Livi
2019	J	`jnl`	Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere. CoRR Pietro Verzelli, Cesare Alippi, Lorenzo Livi
2019	J	`jnl`	Editorial: Booming of Neural Networks and Learning Systems. IEEE Trans. Neural Networks Learn. Syst. 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
2019	J	`jnl`	Graph Neural Networks with convolutional ARMA filters. CoRR Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019	J	`jnl`	Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling. CoRR Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019	—	`conf`	Hyper-spherical Reservoirs for Echo State Networks. ICANN (Workshop) Pietro Verzelli, Cesare Alippi, Lorenzo Livi
2019	J	`jnl`	Learning representations of multivariate time series with missing data. Pattern Recognit. Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2019	—	`conf`	Radiomic and Dosiomic Profiling of Paediatric Medulloblastoma Tumours Treated with Intensity Modulated Radiation Therapy. CAIP Workshops 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
2018	J	`jnl`	A characterization of the Edge of Criticality in Binary Echo State Networks. CoRR Pietro Verzelli, Lorenzo Livi, Cesare Alippi
2018	—	`conf`	A characterization of the Edge of Criticality in Binary echo State Networks. MLSP Pietro Verzelli, Lorenzo Livi, Cesare Alippi
2018	J	`jnl`	Adversarial Autoencoders with Constant-Curvature Latent Manifolds. CoRR Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2018	B	`conf`	Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. IJCNN Daniele Zambon, Lorenzo Livi, Cesare Alippi
2018	J	`jnl`	Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. CoRR Daniele Zambon, Lorenzo Livi, Cesare Alippi
2018	J	`jnl`	Change Point Methods on a Sequence of Graphs. CoRR Daniele Zambon, Cesare Alippi, Lorenzo Livi
2018	J	`jnl`	Concept Drift and Anomaly Detection in Graph Streams. IEEE Trans. Neural Networks Learn. Syst. Daniele Zambon, Cesare Alippi, Lorenzo Livi
2018	J	`jnl`	Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization. IEEE Trans. Neural Networks Learn. Syst. Lorenzo Livi, Filippo Maria Bianchi, Cesare Alippi
2018	J	`jnl`	Interpreting RNN behaviour via excitable network attractors. CoRR Andrea Ceni, Peter Ashwin, Lorenzo Livi
2018	J	`jnl`	Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis. IEEE Trans. Neural Networks Learn. Syst. Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi
2018	J	`jnl`	Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams. CoRR Daniele Grattarola, Daniele Zambon, Cesare Alippi, Lorenzo Livi
2018	J	`jnl`	Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders. CoRR Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2018	—	`conf`	On the Interpretation and Characterization of Echo State Networks Dynamics: A Complex Systems Perspective. Advances in Data Analysis with Computational Intelligence Methods Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi
2018	J	`jnl`	Right-side-stretched multifractal spectra indicate small-worldness in networks. Commun. Nonlinear Sci. Numer. Simul. Pawel Oswiecimka, Lorenzo Livi, Stanislaw Drozdz
2018	J	`jnl`	The Deep Kernelized Autoencoder. CoRR Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2018	J	`jnl`	The deep kernelized autoencoder. Appl. Soft Comput. Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2018	B	`conf`	Time Series Kernel Similarities for Predicting Paroxysmal Atrial Fibrillation from ECGs. IJCNN Filippo Maria Bianchi, Lorenzo Livi, Alberto Ferrante, Jelena Milosevic, Miroslaw Malek
2018	J	`jnl`	Time series kernel similarities for predicting Paroxysmal Atrial Fibrillation from ECGs. CoRR Filippo Maria Bianchi, Lorenzo Livi, Alberto Ferrante, Jelena Milosevic, Miroslaw Malek
2017	J	`jnl`	An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery. Soft Comput. Filippo Maria Bianchi, Enrico Maiorino, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
2017	J	`jnl`	Concept Drift and Anomaly Detection in Graph Streams. CoRR Daniele Zambon, Cesare Alippi, Lorenzo Livi
2017	B	`conf`	Critical echo state network dynamics by means of Fisher information maximization. IJCNN Filippo Maria Bianchi, Lorenzo Livi, Robert Jenssen, Cesare Alippi
2017	J	`jnl`	Data-driven detrending of nonstationary fractal time series with echo state networks. Inf. Sci. Enrico Maiorino, Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
2017	—	`conf`	Deep Kernelized Autoencoders. SCIA (1) Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2017	J	`jnl`	Deep Kernelized Autoencoders. CoRR Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2017	—	`conf`	Deep divergence-based clustering. MLSP Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
2017	J	`jnl`	Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation. Entropy Lorenzo Livi
2017	—	`conf`	Detecting changes in sequences of attributed graphs. SSCI Daniele Zambon, Lorenzo Livi, Cesare Alippi
2017	J	`jnl`	One-Class Classifiers Based on Entropic Spanning Graphs. IEEE Trans. Neural Networks Learn. Syst. Lorenzo Livi, Cesare Alippi
2016	B	`conf`	A convergent and fully distributable SVMs training algorithm. IJCNN Andrea Manno, Simone Sagratella, Lorenzo Livi
2016	J	`jnl`	Classification of Type-2 Fuzzy Sets Represented as Sequences of Vertical Slices. IEEE Trans. Fuzzy Syst. Lorenzo Livi, Hooman Tahayori, Antonello Rizzi, Alireza Sadeghian, Witold Pedrycz
2016	J	`jnl`	Determination of the edge of criticality in echo state networks through Fisher information maximization. CoRR Lorenzo Livi, Filippo Maria Bianchi, Cesare Alippi
2016	J	`jnl`	Discrimination and Characterization of Parkinsonian Rest Tremors by Analyzing Long-Term Correlations and Multifractal Signatures. IEEE Trans. Biomed. Eng. Lorenzo Livi, Alireza Sadeghian, Hamid Sadeghian
2016	J	`jnl`	Investigating echo state networks dynamics by means of recurrence analysis. CoRR Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi
2016	J	`jnl`	Multiplex visibility graphs to investigate recurrent neural networks dynamics. CoRR Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi, Robert Jenssen
2016	J	`jnl`	On the Long-Term Correlations and Multifractal Properties of Electric Arc Furnace Time Series. Int. J. Bifurc. Chaos Lorenzo Livi, Enrico Maiorino, Antonello Rizzi, Alireza Sadeghian
2016	B	`conf`	One-class classification through mutual information minimization. IJCNN Lorenzo Livi, Cesare Alippi
2016	J	`jnl`	One-class classifiers based on entropic spanning graphs. CoRR Lorenzo Livi, Cesare Alippi
2016	J	`jnl`	Toward a multilevel representation of protein molecules: Comparative approaches to the aggregation/folding propensity problem. Inf. Sci. Lorenzo Livi, Alessandro Giuliani, Antonello Rizzi
2016	J	`jnl`	Two density-based k-means initialization algorithms for non-metric data clustering. Pattern Anal. Appl. Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi
2015	J	`jnl`	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. Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
2015	J	`jnl`	Data granulation by the principles of uncertainty. Pattern Recognit. Lett. Lorenzo Livi, Alireza Sadeghian
2015	J	`jnl`	Data-driven detrending of nonstationary fractal time series with echo state networks. CoRR Enrico Maiorino, Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
2015	J	`jnl`	Discrimination and characterization of Parkinsonian rest tremors by analyzing long-term correlations and multifractal signatures. CoRR Lorenzo Livi, Alireza Sadeghian
2015	J	`jnl`	Entropic One-Class Classifiers. IEEE Trans. Neural Networks Learn. Syst. Lorenzo Livi, Alireza Sadeghian, Witold Pedrycz
2015	J	`jnl`	Granular modeling and computing approaches for intelligent analysis of non-geometric data. Appl. Soft Comput. Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
2015	J	`jnl`	Interval Type-2 Fuzzy Set Reconstruction Based on Fuzzy Information-Theoretic Kernels. IEEE Trans. Fuzzy Syst. Hooman Tahayori, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi
2015	J	`jnl`	Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction. Soft Comput. Masoomeh Moharrer, Hooman Tahayori, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi
2015	J	`jnl`	Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification. Neurocomputing Enrico De Santis, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi
2015	J	`jnl`	On the impact of topological properties of smart grids in power losses optimization problems. CoRR Francesca Possemato, Maurizio Paschero, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
2014	J	`jnl`	A Granular Computing approach to the design of optimized graph classification systems. Soft Comput. Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
2014	J	`jnl`	An Agent-Based Algorithm exploiting Multiple Local Dissimilarities for Clusters Mining and Knowledge Discovery. CoRR Filippo Maria Bianchi, Enrico Maiorino, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
2014	B	`conf`	An interpretable graph-based image classifier. IJCNN Filippo Maria Bianchi, Simone Scardapane, Lorenzo Livi, Aurelio Uncini, Antonello Rizzi
2014	J	`jnl`	Building pattern recognition applications with the SPARE library. CoRR Lorenzo Livi, Guido Del Vescovo, Antonello Rizzi, Fabio Massimo Frattale Mascioli
2014	J	`jnl`	Characterization of Graphs for Protein Structure Modeling and Recognition of Solubility. CoRR Lorenzo Livi, Alessandro Giuliani, Alireza Sadeghian
2014	J	`jnl`	Classifying Sequences by the Optimized Dissimilarity Space Embedding Approach: a Case Study on the Solubility Analysis of the E. coli Proteome. CoRR Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
2014	J	`jnl`	Data Granulation By the Principles of Uncertainty. CoRR Lorenzo Livi, Alireza Sadeghian
2014	J	`jnl`	Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation. CoRR Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
2014	J	`jnl`	Distinguishability of interval type-2 fuzzy sets data by analyzing upper and lower membership functions. Appl. Soft Comput. Lorenzo Livi, Hooman Tahayori, Alireza Sadeghian, Antonello Rizzi
2014	J	`jnl`	Entropic One-Class Classifier. CoRR Lorenzo Livi, Alireza Sadeghian, Witold Pedrycz
2014	B	`conf`	Fault recognition in smart grids by a one-class classification approach. IJCNN Enrico De Santis, Lorenzo Livi, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi
2014	J	`jnl`	Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Measures and One-Class Classification. CoRR Enrico De Santis, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi
2014	J	`jnl`	Optimized dissimilarity space embedding for labeled graphs. Inf. Sci. Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
2014	J	`jnl`	Toward a Multilevel Representation of Protein Molecules: Comparative Approaches to the Aggregation/Folding Propensity Problem. CoRR Lorenzo Livi, Alessandro Giuliani, Antonello Rizzi
2013	B	`conf`	A dissimilarity-based classifier for generalized sequences by a granular computing approach. IJCNN Antonello Rizzi, Francesca Possemato, Lorenzo Livi, Azzurra Sebastiani, Alessandro Giuliani, Fabio Massimo Frattale Mascioli
2013	—	`conf`	Aggregating α-planes for Type-2 fuzzy set matching. IFSA/NAFIPS Lorenzo Livi, Hooman Tahayori, Alireza Sadeghian, Antonello Rizzi
2013	B	`conf`	Dissimilarity space embedding of labeled graphs by a clustering-based compression procedure. IJCNN Lorenzo Livi, Filippo Maria Bianchi, Antonello Rizzi, Alireza Sadeghian
2013	J	`jnl`	Graph ambiguity. Fuzzy Sets Syst. Lorenzo Livi, Antonello Rizzi
2013	—	`conf`	Matching general type-2 fuzzy sets by comparing the vertical slices. IFSA/NAFIPS Antonello Rizzi, Lorenzo Livi, Hooman Tahayori, Alireza Sadeghian
2013	B	`conf`	Matching of time-varying labeled graphs. IJCNN Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi
2013	J	`jnl`	The graph matching problem. Pattern Anal. Appl. Lorenzo Livi, Antonello Rizzi
2012	B	`conf`	A new Granular Computing approach for sequences representation and classification. IJCNN Antonello Rizzi, Guido Del Vescovo, Lorenzo Livi, Fabio Massimo Frattale Mascioli
2012	—	`conf`	Graph Recognition by Seriation and Frequent Substructures Mining. ICPRAM (1) Lorenzo Livi, Guido Del Vescovo, Antonello Rizzi
2012	—	`conf`	Inexact Graph Matching through Graph Coverage. ICPRAM (1) Lorenzo Livi, Guido Del Vescovo, Antonello Rizzi
2012	B	`conf`	Parallel algorithms for tensor product-based inexact graph matching. IJCNN Lorenzo Livi, Antonello Rizzi