Conferences
9 March 2023, Online
Entropy Webinar | Entropy Measures to Assess Irregularity and Complexity of Time Series and Multidimensional Data
Entropy-based metrics issued from information theory have found an increasing interest in the dynamical analysis of different kinds of systems. Extensions of these nonlinear measures to multidimensional and/or multivariate data have also led to many papers from several areas. Moreover, the analysis of entropy measures over several temporal or spatial scales are now commonly used to quantify the complexity of systems.
In this webinar, we will talk with three of the leading experts in entropy measures to hear their perspectives on the recent advances, and challenges of entropy measures. The theoretical backgrounds of entropy measures will be presented and the most recent algorithms to quantify the irregularity and complexity of time series will be developed. Furthermore, an extension to multidimensional and multivariate data will be discussed. Moreover, the very recent applications of entropy measures to graphs will be developed.
The following experts will be present and talk:
- Prof. Dr. Anne Humeau-Heurtier, Univ Angers, LARIS, SFR MATHSTIC, F-49000 Angers, France
- Prof. Dr. Luca Faes, Department of Engineering, University of Palermo, 90128 Palermo, Italy
- Dr. Hamed Azami, Centre for Addiction and Mental Health, Toronto Dementia Research Alliance, University of Toronto, Toronto, ON, Canada
- Dr. Javier Escudero, School of Engineering, Institute for Digital Communications (IDCOM), The University of Edinburgh, 8 Thomas Bayes Rd, Edinburgh EH9 3FG, UK
When? 9 March 2023 at 6:30 pm CET | 12:30 pm EST | 1:30 am CST Asia (10 March 2023)
Register now for free!
Interested in contributing to the topic? You can find the Special Issue linked to this topic and open for submission by clicking here.
