Many simple natural phenomena are characterized by complex motion that appears random at first glance, but that often displays underlying […]

The main motivation of this paper is to introduce the permutation Jensen-Shannon distance, a symbolic tool able to quantify the […]

Machine learning methods are becoming increasingly important for the development of materials science. In spite of this, the use of […]

Since Bandt and Pompe’s seminal work, permutation entropy has been used in several applications and is now an essential tool […]

Imaging techniques are essential tools for inquiring a number of properties from different materials. Liquid crystals are often investigated via […]

The efficient market hypothesis has far-reaching implications for financial trading and market stability. Whether or not cryptocurrencies are informationally efficient […]

One of the most useful tools for distinguishing between chaotic and stochastic time series is the so-called complexity-entropy causality plane. […]

The search for patterns in time series is a very common task when dealing with complex systems. This is usually […]

The aim of this paper is to further explore the usefulness of the two-dimensional complexity-entropy causality plane as a texture […]

Complexity measures are essential to understand complex systems and there are numerous definitions to analyze one- dimensional data. However, extensions […]