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Journal Articles

An algorithm for simplified recurrence analysis

Rémi Delage, Toshihiko Nakata

Chaos 34, 093114 (2024)

https://doi.org/10.1063/5.0225465

Published: September 2024

View article titled, An algorithm for simplified recurrence analysis

Journal Articles

Tipping points of evolving epidemiological networks: Machine learning-assisted, data-driven effective modeling

Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Alexei Makeev, Ioannis G. Kevrekidis

Chaos 34, 063128 (2024)

https://doi.org/10.1063/5.0187511

Published: June 2024

View article titled, Tipping points of evolving epidemiological networks: Machine learning-assisted, data-driven effective modeling

Journal Articles

Inferring bifurcation diagrams with transformers

Lyra Zhornyak, M. Ani Hsieh, Eric Forgoston

Chaos 34, 051102 (2024)

https://doi.org/10.1063/5.0204714

Published: May 2024

View article titled, Inferring bifurcation diagrams with transformers

Journal Articles

Quantifying the potential of cascade outbreaks via early infected nodes using network percolation

Xin Li, Huichun Li, Xue Zhang, Chengli Zhao, Xiaojun Duan

Chaos 34, 043141 (2024)

https://doi.org/10.1063/5.0190294

Published: April 2024

View article titled, Quantifying the potential of cascade outbreaks via early infected nodes using network percolation

Journal Articles

DEFM: Delay-embedding-based forecast machine for time series forecasting by spatiotemporal information transformation

Hao Peng, Wei Wang, Pei Chen, Rui Liu

Chaos 34, 043112 (2024)

https://doi.org/10.1063/5.0181791

Published: April 2024

View article titled, DEFM: Delay-embedding-based forecast machine for time series forecasting by spatiotemporal information transformation

Includes: Supplementary data

Journal Articles

Early warning indicators via latent stochastic dynamical systems

Lingyu Feng, Ting Gao, Wang Xiao, Jinqiao Duan

Chaos 34, 031101 (2024)

https://doi.org/10.1063/5.0195042

Published: March 2024

View article titled, Early warning indicators via latent stochastic dynamical systems

Journal Articles

Boltzmann–Shannon interaction entropy: A normalized measure for continuous variables with an application as a subsample quality metric

C. Tyler Diggans, Abd AlRahman R. AlMomani

Chaos 33, 123131 (2023)

https://doi.org/10.1063/5.0182349

Published: December 2023

View article titled, Boltzmann–Shannon interaction entropy: A normalized measure for continuous variables with an application as a subsample quality metric

Journal Articles

Adaptive integral alternating minimization method for robust learning of nonlinear dynamical systems from highly corrupted data

Tao Zhang, Guang Liu, Li Wang, Zhong-rong Lu

Chaos 33, 123112 (2023)

https://doi.org/10.1063/5.0167914

Published: December 2023

View article titled, Adaptive integral alternating minimization method for robust learning of nonlinear dynamical systems from highly corrupted data

Journal Articles

Differentiating patients with obstructive sleep apnea from healthy controls based on heart rate–blood pressure coupling quantified by entropy-based indices

Paweł Pilarczyk, Grzegorz Graff, José M. Amigó, Katarzyna Tessmer, Krzysztof Narkiewicz, Beata Graff

Chaos 33, 103140 (2023)

https://doi.org/10.1063/5.0158923

Published: October 2023

View article titled, Differentiating patients with obstructive sleep apnea from healthy controls based on heart rate–blood pressure coupling quantified by entropy-based indices

Journal Articles

A simple modeling framework for prediction in the human glucose–insulin system

Melike Sirlanci, Matthew E. Levine, Cecilia C. Low Wang, David J. Albers, Andrew M. Stuart

Chaos 33, 073150 (2023)

https://doi.org/10.1063/5.0146808

Published: July 2023

View article titled, A simple modeling framework for prediction in the human glucose–insulin system

Journal Articles

The identification of piecewise non-linear dynamical system without understanding the mechanism

Bochen Wang, Liang Wang, Jiahui Peng, Mingyue Hong, Wei Xu

Chaos 33, 063110 (2023)

https://doi.org/10.1063/5.0147847

Published: June 2023

View article titled, The identification of piecewise non-linear dynamical system without understanding the mechanism

Journal Articles

Detecting hidden nodes in networks based on random variable resetting method

Weinuo Jiang, Shihong Wang

Chaos 33, 043109 (2023)

https://doi.org/10.1063/5.0134953

Published: April 2023

View article titled, Detecting hidden nodes in networks based on random variable resetting method

Journal Articles

Granger causality using Jacobian in neural networks

Suryadi, Lock Yue Chew, Yew-Soon Ong

Chaos 33, 023126 (2023)

https://doi.org/10.1063/5.0106666

Published: February 2023

View article titled, Granger causality using Jacobian in neural networks

Includes: Supplementary data

Journal Articles

Learning chaotic systems from noisy data via multi-step optimization and adaptive training

Lei Zhang, Shaoqiang Tang, Guowei He

Chaos 32, 123134 (2022)

https://doi.org/10.1063/5.0114542

Published: December 2022

View article titled, Learning chaotic systems from noisy data via multi-step optimization and adaptive training

Includes: Supplementary data

Journal Articles

Statistical inference for unreliable grading using the maximum entropy principle

S. Davis, C. Loyola, J. Peralta

Chaos 32, 123103 (2022)

https://doi.org/10.1063/5.0106922

Published: December 2022

View article titled, Statistical inference for unreliable grading using the maximum entropy principle

Journal Articles

A variable threshold for recurrence based on local attractor density

Rémi Delage, Toshihiko Nakata

Chaos 32, 093146 (2022)

https://doi.org/10.1063/5.0114797

Published: September 2022

View article titled, A variable threshold for recurrence based on local attractor density

Journal Articles

Identifying the spatiotemporal organization of high-traffic events in a mobile communication system using event synchronization and complex networks

L. N. Wang, G. M. Tan, C. R. Zang

Chaos 32, 093122 (2022)

https://doi.org/10.1063/5.0083137

Published: September 2022

View article titled, Identifying the spatiotemporal organization of high-traffic events in a mobile communication system using event synchronization and complex networks

Journal Articles

A two-stage reconstruction method for complex networked system with hidden nodes

Wenfeng Deng, Chunhua Yang, Keke Huang, Wenhan Wu

Chaos 32, 053105 (2022)

https://doi.org/10.1063/5.0087740

Published: May 2022

View article titled, A two-stage reconstruction method for complex networked system with hidden nodes

Journal Articles

The climatic interdependence of extreme-rainfall events around the globe

Zhen Su, Henning Meyerhenke, Jürgen Kurths

Chaos 32, 043126 (2022)

https://doi.org/10.1063/5.0077106

Published: April 2022

View article titled, The climatic interdependence of extreme-rainfall events around the globe

Journal Articles

Sparse identification of nonlinear dynamical systems via non-convex penalty least squares

Yisha Lu, Wei Xu, Yiyu Jiao, Minjuan Yuan

Chaos 32, 023113 (2022)

https://doi.org/10.1063/5.0076334

Published: February 2022

View article titled, Sparse identification of nonlinear dynamical systems via non-convex penalty least squares

NARROW

Topics

An algorithm for simplified recurrence analysis

Tipping points of evolving epidemiological networks: Machine learning-assisted, data-driven effective modeling

Inferring bifurcation diagrams with transformers

Quantifying the potential of cascade outbreaks via early infected nodes using network percolation

DEFM: Delay-embedding-based forecast machine for time series forecasting by spatiotemporal information transformation

Early warning indicators via latent stochastic dynamical systems

Boltzmann–Shannon interaction entropy: A normalized measure for continuous variables with an application as a subsample quality metric

Adaptive integral alternating minimization method for robust learning of nonlinear dynamical systems from highly corrupted data

Differentiating patients with obstructive sleep apnea from healthy controls based on heart rate–blood pressure coupling quantified by entropy-based indices

A simple modeling framework for prediction in the human glucose–insulin system

The identification of piecewise non-linear dynamical system without understanding the mechanism

Detecting hidden nodes in networks based on random variable resetting method

Granger causality using Jacobian in neural networks

Learning chaotic systems from noisy data via multi-step optimization and adaptive training

Statistical inference for unreliable grading using the maximum entropy principle

A variable threshold for recurrence based on local attractor density

Identifying the spatiotemporal organization of high-traffic events in a mobile communication system using event synchronization and complex networks

A two-stage reconstruction method for complex networked system with hidden nodes

The climatic interdependence of extreme-rainfall events around the globe

Sparse identification of nonlinear dynamical systems via non-convex penalty least squares

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