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Runze Jiang, Pengjian Shang
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Nonlinear time-series analysis revisited
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Phase space visibility graph
10.1016/j.chaos.2023.114170 · doi-reference
Network structure of multivariate time series
10.1038/srep15508 · doi-reference
Visibility graphlet approach to chaotic time series
10.1063/1.4951681 · doi-reference
Horizontal visibility graphs: Exact results for random time series
10.1103/physreve.80.046103 · doi-reference
From time series to complex networks: The visibility graph
10.1073/pnas.0709247105 · doi-reference
Characterizing ordinal network of time series based on complexity-entropy curve
10.1016/j.patcog.2021.108464 · doi-reference
Fuzzy granular recurrence plot and quantification analysis: A novel method for classification
10.1016/j.patcog.2023.109456 · doi-reference
Recurrence plots for the analysis of complex systems
10.1016/j.physrep.2006.11.001 · doi-reference
Global ordinal pattern attention entropy: A novel feature extraction method for complex signals
10.1016/j.chaos.2024.115810 · doi-reference
Attention lempel-ziv complexity: an improved lempel-ziv complexity with high computational efficiency for bearing early fault detection
10.1016/j.rineng.2025.105518 · doi-reference
Classification of interbeat interval time-series using attention entropy
10.1109/taffc.2020.3031004 · doi-reference
Dispersion entropy-based lempel-ziv complexity: A new metric for signal analysis
10.1016/j.chaos.2022.112400 · doi-reference
Multiscale symbolic lempel–ziv: An effective feature extraction approach for fault diagnosis of railway vehicle systems
10.1109/tii.2020.2980923 · doi-reference
A permutation lempel-ziv complexity measure for EEG analysis
10.1016/j.bspc.2015.04.002 · doi-reference
On the complexity of finite sequences
10.1109/tit.1976.1055501 · doi-reference
Span entropy: A novel time series complexity measurement with a redesigned phase space reconstruction
10.1016/j.aei.2026.104631 · doi-reference
Rating entropy and its multivariate version
10.1016/j.ymssp.2025.112368 · doi-reference
Distance similarity entropy: A sensitive nonlinear feature extraction method for rolling bearing fault diagnosis
10.1016/j.ress.2024.110643 · doi-reference
Dispersion complexity–entropy curves: An effective method to characterize the structures of nonlinear time series
10.1063/5.0197167 · doi-reference
Extended dispersion entropy and its multiscale versions: Methodology and application
10.1016/j.cnsns.2024.108497 · doi-reference
Dispersion entropy: A measure for time-series analysis
10.1109/lsp.2016.2542881 · doi-reference
Physiological time-series analysis using approximate entropy and sample entropy.
10.1152/ajpheart.2000.278.6.h2039 · doi-reference
Approximate entropy as a diagnostic tool for machine health monitoring
10.1016/j.ymssp.2006.02.009 · doi-reference
A mathematical theory of communication
10.1002/j.1538-7305.1948.tb01338.x · doi-reference
The mythos of model interpretability: In machine learning, the concept of interpretability is both important and slippery.
10.1145/3236386.3241340 · doi-reference
A review on Hilbert-huang transform: Method and its applications to geophysical studies
10.1029/2007rg000228 · doi-reference
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
10.1098/rspa.1998.0193 · doi-reference
A theory for multiresolution signal decomposition: the wavelet representation
10.1109/34.192463 · doi-reference
Stochastic complexity measures for physiological signal analysis
10.1109/10.709563 · doi-reference
Stock investment selection via time series subpatterns and multi-relationship fusion
10.1016/j.patcog.2025.111919 · doi-reference