392 citations · 1.5k across the 15 of their papers we have counts for
17 papers
On the information-theoretic formulation of network participation
Pavle Cajic, Dominic Agius, Oliver M. Cliff +3
The participation coefficient is a widely used metric of the diversity of a node's connections with respect to a modular partition of a network. An information-theoretic formulatio…
Never a Dull Moment: Distributional Properties as a Baseline for Time-Series Classification
Trent Henderson, Annie G. Bryant, Ben D. Fulcher
The variety of complex algorithmic approaches for tackling time-series classification problems has grown considerably over the past decades, including the development of sophistica…
Feature-Based Time-Series Analysis in R using the theft Package
Trent Henderson, Ben D. Fulcher
Time series are measured and analyzed across the sciences. One method of quantifying the structure of time series is by calculating a set of summary statistics or `features', and t…
Classifying Kepler light curves for 12,000 A and F stars using supervised feature-based machine learning
Nicholas H. Barbara, Timothy R. Bedding, Ben D. Fulcher +2
With the availability of large-scale surveys like Kepler and TESS, there is a pressing need for automated methods to classify light curves according to known classes of variable st…
Unifying Pairwise Interactions in Complex Dynamics
Oliver M. Cliff, Annie G. Bryant, Joseph T. Lizier +2
Scientists have developed hundreds of techniques to measure the interactions between pairs of processes in complex systems. But these computational methods, from correlation coeffi…
An Empirical Evaluation of Time-Series Feature Sets
Trent Henderson, Ben D. Fulcher
Solving time-series problems with features has been rising in popularity due to the availability of software for feature extraction. Feature-based time-series analysis can now be p…
Winning with Simple Learning Models: Detecting Earthquakes in Groningen, the Netherlands
Umair bin Waheed, Ahmed Shaheen, Mike Fehler +1
Deep learning is fast emerging as a potential disruptive tool to tackle longstanding research problems across the sciences. Notwithstanding its success across disciplines, the rece…
Finding binaries from phase modulation of pulsating stars with \textit{Kepler}: VI. Orbits for 10 new binaries with mischaracterised primaries
Simon J. Murphy, Nicholas H. Barbara, Daniel Hey +2
Measuring phase modulation in pulsating stars has proved to be a highly successful way of finding binary systems. The class of pulsating main-sequence A and F variables known as de…
Assessing the Significance of Directed and Multivariate Measures of Linear Dependence Between Time Series
Oliver M. Cliff, Leonardo Novelli, Ben D. Fulcher +2
Inferring linear dependence between time series is central to our understanding of natural and artificial systems. Unfortunately, the hypothesis tests that are used to determine st…
CompEngine: a self-organizing, living library of time-series data
Ben D. Fulcher, Carl H. Lubba, Sarab S. Sethi +1
Modern biomedical applications often involve time-series data, from high-throughput phenotyping of model organisms, through to individual disease diagnosis and treatment using biom…
catch22: CAnonical Time-series CHaracteristics
Carl H Lubba, Sarab S Sethi, Philip Knaute +3
Capturing the dynamical properties of time series concisely as interpretable feature vectors can enable efficient clustering and classification for time-series applications across…
Consistency and differences between centrality measures across distinct classes of networks
Stuart Oldham, Ben Fulcher, Linden Parkes +3
The roles of different nodes within a network are often understood through centrality analysis, which aims to quantify the capacity of a node to influence, or be influenced by, oth…
Feature-based time-series analysis
Ben D. Fulcher
This work presents an introduction to feature-based time-series analysis. The time series as a data type is first described, along with an overview of the interdisciplinary time-se…
Automatic time-series phenotyping using massive feature extraction
Ben D Fulcher, Nick S Jones
Across a far-reaching diversity of scientific and industrial applications, a general key problem involves relating the structure of time-series data to a meaningful outcome, such a…
Highly comparative fetal heart rate analysis
B. D. Fulcher, A. E. Georgieva, C. W. G. Redman +1
A database of fetal heart rate (FHR) time series measured from 7221 patients during labor is analyzed with the aim of learning the types of features of these recordings that are in…
Highly comparative feature-based time-series classification
Ben D. Fulcher, Nick S. Jones
A highly comparative, feature-based approach to time series classification is introduced that uses an extensive database of algorithms to extract thousands of interpretable feature…
Highly comparative time-series analysis: The empirical structure of time series and their methods
Ben D. Fulcher, Max A. Little, Nick S. Jones
The process of collecting and organizing sets of observations represents a common theme throughout the history of science. However, despite the ubiquity of scientists measuring, re…