A semi-supervised interactive algorithm for change point detection

Author:

Cao ZhenxiangORCID,Seeuws Nick,Vos Maarten De,Bertrand Alexander

Funder

FP7 Ideas: European Research Council

Flemish Government AI Research Program

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference49 articles.

1. Adams RP, MacKay DJC (2007) Bayesian online changepoint detection. Mach Learn

2. Aminikhanghahi S, Cook DJ (2017) A survey of methods for time series change point detection. Knowl Inf Syst 51(2):339–367. https://doi.org/10.1007/s10115-016-0987-z

3. An J, Cho S (2015) Variational autoencoder based anomaly detection using reconstruction probability. Spec Lect IE 2(1):1–18

4. Appel U, Brandt AV (1983) Adaptive sequential segmentation of piecewise stationary time series. Inf Sci 29(1):27–56

5. Basseville M, Nikiforov IV, et al (1993) Detection of abrupt changes: theory and application, vol 104. Prentice Hall, Englewood Cliffs

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