46 citations · 87 across the 2 of their papers we have counts for
4 papers
Determining liquid crystal properties with ordinal networks and machine learning
Arthur A. B. Pessa, Rafael S. Zola, Matjaz Perc +1
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 these syste…
ordpy: A Python package for data analysis with permutation entropy and ordinal network methods
Arthur A. B. Pessa, Haroldo V. Ribeiro
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 popular and…
Mapping images into ordinal networks
Arthur A. B. Pessa, Haroldo V. Ribeiro
An increasing abstraction has marked some recent investigations in network science. Examples include the development of algorithms that map time series data into networks whose ver…
Characterizing stochastic time series with ordinal networks
Arthur A. B. Pessa, Haroldo V. Ribeiro
Approaches for mapping time series to networks have become essential tools for dealing with the increasing challenges of characterizing data from complex systems. Among the differe…