Lorenzo Livi

IEEE Trans. Neural Networks Learn. Syst., 2018

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Interpreting RNN behaviour via excitable network attractors.

[BibT_eX]

[DOI]

Andrea Ceni

Peter Ashwin

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Pawel Oswiecimka

Stanislaw Drozdz

Commun. Nonlinear Sci. Numer. Simul., 2018

The deep kernelized autoencoder.

[BibT_eX]

[DOI]

Michael Kampffmeyer

Sigurd Løkse

Appl. Soft Comput., 2018

A characterization of the Edge of Criticality in Binary echo State Networks.

[BibT_eX]

[DOI]

Pietro Verzelli

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

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

[BibT_eX]

[DOI]

Daniele Zambon

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Time Series Kernel Similarities for Predicting Paroxysmal Atrial Fibrillation from ECGs.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018

2017

One-Class Classifiers Based on Entropic Spanning Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

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

[BibT_eX]

[DOI]

Soft Comput., 2017

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

[BibT_eX]

[DOI]

Enrico Maiorino

Inf. Sci., 2017

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

[BibT_eX]

[DOI]

Entropy, 2017

Detecting changes in sequences of attributed graphs.

[BibT_eX]

[DOI]

Daniele Zambon

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Deep Kernelized Autoencoders.

[BibT_eX]

[DOI]

Michael Kampffmeyer

Sigurd Løkse

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Deep divergence-based clustering.

[BibT_eX]

[DOI]

Michael Kampffmeyer

Sigurd Løkse

Arnt-Børre Salberg

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Critical echo state network dynamics by means of Fisher information maximization.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

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

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2016

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

[BibT_eX]

[DOI]

Hamid Sadeghian

IEEE Trans. Biomed. Eng., 2016

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

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2016

Toward a multilevel representation of protein molecules: Comparative approaches to the aggregation/folding propensity problem.

[BibT_eX]

[DOI]

Alessandro Giuliani

Inf. Sci., 2016

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

[BibT_eX]

[DOI]

Int. J. Bifurc. Chaos, 2016

Multiplex visibility graphs to investigate recurrent neural networks dynamics.

[BibT_eX]

[DOI]

CoRR, 2016

A convergent and fully distributable SVMs training algorithm.

[BibT_eX]

[DOI]

Andrea Manno

Simone Sagratella

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

One-class classification through mutual information minimization.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Entropic One-Class Classifiers.

[BibT_eX]

[DOI]

Witold Pedrycz

IEEE Trans. Neural Networks Learn. Syst., 2015

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

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2015

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

[BibT_eX]

[DOI]

Soft Comput., 2015

Data granulation by the principles of uncertainty.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2015

Classifying sequences by the optimized dissimilarity space embedding approach: A case study on the solubility analysis of the E. coli proteome.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2015

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

[BibT_eX]

[DOI]

Neurocomputing, 2015

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

[BibT_eX]

[DOI]

CoRR, 2015

Discrimination and characterization of Parkinsonian rest tremors by analyzing long-term correlations and multifractal signatures.

[BibT_eX]

[DOI]

CoRR, 2015

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

[BibT_eX]

[DOI]

Appl. Soft Comput., 2015

2014

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

[BibT_eX]

[DOI]

Soft Comput., 2014

Optimized dissimilarity space embedding for labeled graphs.

[BibT_eX]

[DOI]

Inf. Sci., 2014

Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Measures and One-Class Classification.

[BibT_eX]

[DOI]

CoRR, 2014

Building pattern recognition applications with the SPARE library.

[BibT_eX]

[DOI]

CoRR, 2014

Entropic One-Class Classifier.

[BibT_eX]

[DOI]

Witold Pedrycz

CoRR, 2014

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

[BibT_eX]

[DOI]

CoRR, 2014

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

[BibT_eX]

[DOI]

Alessandro Giuliani

CoRR, 2014

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

[BibT_eX]

[DOI]

Appl. Soft Comput., 2014

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

[BibT_eX]

[DOI]

Enrico De Santis

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An interpretable graph-based image classifier.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

The graph matching problem.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2013

Graph ambiguity.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2013

A dissimilarity-based classifier for generalized sequences by a granular computing approach.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Dissimilarity space embedding of labeled graphs by a clustering-based compression procedure.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Matching of time-varying labeled graphs.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

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

[BibT_eX]

[DOI]

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Aggregating α-planes for Type-2 fuzzy set matching.

[BibT_eX]

[DOI]

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

2012

A new Granular Computing approach for sequences representation and classification.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Parallel algorithms for tensor product-based inexact graph matching.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Inexact Graph Matching through Graph Coverage.

[BibT_eX]

Proceedings of the ICPRAM 2012, 2012

Graph Recognition by Seriation and Frequent Substructures Mining.

[BibT_eX]