Related references
Note: Only part of the references are listed.Complex systems: Features, similarity and connectivity
Cesar H. Comin et al.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS (2020)
Introduction to Focus Issue: When machine learning meets complex systems: Networks, chaos, and nonlinear dynamics
Yang Tang et al.
CHAOS (2020)
Percept-related EEG classification using machine learning approach and features of functional brain connectivity
Alexander E. Hramov et al.
CHAOS (2019)
Reconstructing directional causal networks with random forest: Causality meeting machine learning
Siyang Leng et al.
CHAOS (2019)
Learning epidemic threshold in complex networks by Convolutional Neural Network
Qi Ni et al.
CHAOS (2019)
Visibility Graphs for Image Processing
Jacopo Iacovacci et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2019)
Visibility graphs for fMRI data: Multiplex temporal graphs and their modulations across resting-state networks
Speranza Sannino et al.
NETWORK NEUROSCIENCE (2017)
Complex network analysis of time series
Zhong-Ke Gao et al.
EPL (2016)
On the degree distribution of horizontal visibility graphs associated with Markov processes and dynamical systems: diagrammatic and variational approaches
Lucas Lacasa
NONLINEARITY (2014)
Visibility graph analysis on heartbeat dynamics of meditation training
Sen Jiang et al.
APPLIED PHYSICS LETTERS (2013)
Testing time series irreversibility using complex network methods
Jonathan F. Donges et al.
EPL (2013)
Texture analysis and classification: A complex network-based approach
Andre Ricardo Backes et al.
INFORMATION SCIENCES (2013)
Texture databases - A comprehensive survey
Shahera Hossain et al.
PATTERN RECOGNITION LETTERS (2013)
Survey on LBP based texture descriptors for image classification
Loris Nanni et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
A POST-PROCESSING METHOD FOR INTEREST POINT LOCATION IN IMAGES BY USING WEIGHTED LINE-GRAPH COMPLEX NETWORKS
Regino Criado et al.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS (2012)
Improved visibility graph fractality with application for the diagnosis of Autism Spectrum Disorder
Mehran Ahmadlou et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2012)
Limited penetrable visibility graph for establishing complex network from time series
Zhou Ting-Ting et al.
ACTA PHYSICA SINICA (2012)
Horizontal visibility graphs: Exact results for random time series
B. Luque et al.
PHYSICAL REVIEW E (2009)
A complex network-based approach for boundary shape analysis
Andre Ricardo Backes et al.
PATTERN RECOGNITION (2009)
From time series to complex networks:: The visibility graph
Lucas Lacasa et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2008)
Share Paper
