Search Results for author: Carl H. Lubba

Found 2 papers, 2 papers with code

CompEngine: a self-organizing, living library of time-series data

1 code implementation3 May 2019 Ben D. Fulcher, Carl H. Lubba, Sarab S. Sethi, Nick S. Jones

Modern biomedical applications often involve time-series data, from high-throughput phenotyping of model organisms, through to individual disease diagnosis and treatment using biomedical data streams.

Databases Data Analysis, Statistics and Probability

catch22: CAnonical Time-series CHaracteristics

3 code implementations29 Jan 2019 Carl H. Lubba, Sarab S. Sethi, Philip Knaute, Simon R Schultz, Ben D. Fulcher, Nick S. Jones

Capturing the dynamical properties of time series concisely as interpretable feature vectors can enable efficient clustering and classification for time-series applications across science and industry.

Classification Clustering +5

Cannot find the paper you are looking for? You can Submit a new open access paper.