research
∙
11/03/2021
Geodesic statistics for random network families
A key task in the study of networked systems is to derive local and glob...
share
research
∙
01/02/2021
Modularity maximisation for graphons
Networks are a widely-used tool to investigate the large-scale connectiv...
research
∙
08/12/2020
Inference of a universal social scale and segregation measures using social connectivity kernels
How people connect with one another is a fundamental question in the soc...
research
∙
05/03/2019
CompEngine: a self-organizing, living library of time-series data
Modern biomedical applications often involve time-series data, from high...
research
∙
01/29/2019
catch22: CAnonical Time-series CHaracteristics
Capturing the dynamical properties of time series concisely as interpret...
research
∙
08/18/2018
Community detection in networks with unobserved edges
We develop a Bayesian hierarchical model to identify communities in netw...
research
∙
03/11/2018
Co-occurrence simplicial complexes in mathematics: identifying the holes of knowledge
In the last years complex networks tools contributed to provide insights...
research
∙
12/03/2014
Highly comparative fetal heart rate analysis
A database of fetal heart rate (FHR) time series measured from 7221 pati...
research
∙
01/15/2014
Highly comparative feature-based time-series classification
A highly comparative, feature-based approach to time series classificati...
research
∙
04/03/2013
Highly comparative time-series analysis: The empirical structure of time series and their methods
The process of collecting and organizing sets of observations represents...
research
∙
08/02/2012
