Ordinal patterns-based methodologies for distinguishing chaos from noise in discrete time series
One of the most important aspects of time series is their degree of stochasticity vs. chaoticity.
Since the discovery of chaotic maps, many algorithms have been proposed to discriminate …
Since the discovery of chaotic maps, many algorithms have been proposed to discriminate …
History of art paintings through the lens of entropy and complexity
Art is the ultimate expression of human creativity that is deeply influenced by the philosophy
and culture of the corresponding historical epoch. The quantitative analysis of art is therefore …
and culture of the corresponding historical epoch. The quantitative analysis of art is therefore …
Multiscale permutation entropy for two-dimensional patterns
C Morel, A Humeau-Heurtier - Pattern Recognition Letters, 2021 - Elsevier
Complexity measures are important to understand and analyze systems with one
dimensional data. However, extension of these methods to images (two dimensional data) …
dimensional data. However, extension of these methods to images (two dimensional data) …
Astrocytic coverage of dendritic spines, dendritic shafts, and axonal boutons in hippocampal neuropil
N Gavrilov, I Golyagina, A Brazhe… - Frontiers in cellular …, 2018 - frontiersin.org
Distal astrocytic processes have a complex morphology, reminiscent of branchlets and
leaflets. Astrocytic branchlets are rod-like processes containing mitochondria and …
leaflets. Astrocytic branchlets are rod-like processes containing mitochondria and …
Determining liquid crystal properties with ordinal networks and machine learning
Abstract Machine learning methods are becoming increasingly important for the
development of materials science. In spite of this, the use of image analysis in the …
development of materials science. In spite of this, the use of image analysis in the …
Structure-from-motion using historical aerial images to analyse changes in glacier surface elevation
N Mölg, T Bolch - Remote Sensing, 2017 - mdpi.com
The application of structure-from-motion (SfM) to generate digital terrain models (DTMs)
derived from different image sources has strongly increased, the major reason for this being …
derived from different image sources has strongly increased, the major reason for this being …
Ordinal methods: Concepts, applications, new developments, and challenges—In memory of Karsten Keller (1961–2022)
In 2013, Karsten Keller, Jürgen Kurths, and one of us (JMA) guest edited an issue of the
European Physical Journal Special Topics, entitled Recent Progress in Symbolic Dynamics …
European Physical Journal Special Topics, entitled Recent Progress in Symbolic Dynamics …
ordpy: A Python package for data analysis with permutation entropy and ordinal network methods
Since Bandt and Pompe's seminal work, permutation entropy has been used in several
applications and is now an essential tool for time series analysis. Beyond becoming a …
applications and is now an essential tool for time series analysis. Beyond becoming a …
Insights from the (in) efficiency of chinese sectoral indices during covid-19
This article evaluates the effects of the crisis caused by the new Coronavirus (COVID-19) on
the Chinese sectoral indices. Using the complexity–entropy plane methodology, we find that …
the Chinese sectoral indices. Using the complexity–entropy plane methodology, we find that …
Taxonomy of commodities assets via complexity-entropy causality plane
This paper promotes insights based on an empirical analysis of the complex dynamics of 12
significant assets of the commodity market. We applied the Complexity-entropy causality …
significant assets of the commodity market. We applied the Complexity-entropy causality …