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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

An information theory approach to stock market liquidity

S. Bianchi, V. Bruni, M. Frezza, S. Marconi, A. Pianese, B. Vantaggi, D. Vitulano

Chaos 34, 061102 (2024)

https://doi.org/10.1063/5.0213429

Published: June 2024

View article titled, An information theory approach to stock market liquidity

Journal Articles

Fractal networks: Topology, dimension, and complexity

L. Bunimovich, P. Skums

Chaos 34, 042101 (2024)

https://doi.org/10.1063/5.0200632

Published: April 2024

View article titled, Fractal networks: Topology, dimension, and complexity

Journal Articles

An “Observable” horseshoe map

Xu Zhang, Yukai Wang, Guanrong Chen

Chaos 34, 021106 (2024)

https://doi.org/10.1063/5.0188700

Published: February 2024

View article titled, An “Observable” horseshoe map

Journal Articles

Filtration evolution of hypergraphs: A novel approach to studying multidimensional datasets

Dalma Bilbao, Hugo Aimar, Diego M. Mateos

Chaos 34, 023142 (2024)

https://doi.org/10.1063/5.0155459

Published: February 2024

View article titled, Filtration evolution of hypergraphs: A novel approach to studying multidimensional datasets

Includes: Supplementary data

Journal Articles

Strange attractors for the family of orientation preserving Lozi maps

Przemysław Kucharski

Chaos 33, 113121 (2023)

https://doi.org/10.1063/5.0139893

Published: November 2023

View article titled, Strange attractors for the family of orientation preserving Lozi maps

Journal Articles

A bottom-up approach for recurrence detection based on sampling distance

Rémi Delage, Toshihiko Nakata

Chaos 33, 083142 (2023)

https://doi.org/10.1063/5.0160832

Published: August 2023

View article titled, A bottom-up approach for recurrence detection based on sampling distance

Includes: Supplementary data

Journal Articles

Exploring predictive states via Cantor embeddings and Wasserstein distance

Samuel P. Loomis, James P. Crutchfield

Chaos 32, 123115 (2022)

https://doi.org/10.1063/5.0102603

Published: December 2022

View article titled, Exploring predictive states via Cantor embeddings and Wasserstein distance

Journal Articles

Dual-domain analysis of gun violence incidents in the United States

Nick James, Max Menzies

Chaos 32, 111101 (2022)

https://doi.org/10.1063/5.0120822

Published: November 2022

View article titled, Dual-domain analysis of gun violence incidents in the United States

Journal Articles

Two-step seeding strategy in multiplex networks with inter-layer conversion cost of influence

Chengzhang Ni, Jun Yang

Chaos 32, 083135 (2022)

https://doi.org/10.1063/5.0096740

Published: August 2022

View article titled, Two-step seeding strategy in multiplex networks with inter-layer conversion cost of influence

Journal Articles

Detecting intrinsic global geometry of an obstacle via layered scattering

Leonid Bunimovich, Gabriel Katz

Chaos 32, 073112 (2022)

https://doi.org/10.1063/5.0091256

Published: July 2022

View article titled, Detecting intrinsic global geometry of an obstacle via layered scattering

Journal Articles

Rate of convergence in the disjunctive chaos game algorithm

Krzysztof Leśniak, Nina Snigireva, Filip Strobin

Chaos 32, 013110 (2022)

https://doi.org/10.1063/5.0076743

Published: January 2022

View article titled, Rate of convergence in the disjunctive chaos game algorithm

Journal Articles

Topological analysis of the latent geometry of a complex network

Bukyoung Jhun

Chaos 32, 013116 (2022)

https://doi.org/10.1063/5.0073107

Published: January 2022

View article titled, Topological analysis of the latent geometry of a complex network

Journal Articles

Noise-driven multistability vs deterministic chaos in phenomenological semi-empirical models of whole-brain activity

Juan Piccinini, Ignacio Perez Ipiñna, Helmut Laufs, Morten Kringelbach, Gustavo Deco, Yonatan Sanz Perl, Enzo Tagliazucchi

Chaos 31, 023127 (2021)

https://doi.org/10.1063/5.0025543

Published: February 2021

View article titled, Noise-driven multistability vs deterministic chaos in phenomenological semi-empirical models of whole-brain activity

Includes: Supplementary data

Journal Articles

Measuring chaos by entropy for a finite family of functions

Ewa Korczak-Kubiak, Anna Loranty, Ryszard J. Pawlak

Chaos 30, 063138 (2020)

https://doi.org/10.1063/5.0003905

Published: June 2020

View article titled, Measuring chaos by entropy for a finite family of functions

Journal Articles

Spectral forecast: A general purpose prediction model as an alternative to classical neural networks

Paul A. Gagniuc, Constantin Ionescu-Tirgoviste, Elvira Gagniuc, Manuella Militaru, Lawrence Chukwudi Nwabudike, Bujorel Ionel Pavaloiu, Andrei Vasilăţeanu, Nicolae Goga, George Drăgoi, Irinel Popescu, Simona Dima

Chaos 30, 033119 (2020)

https://doi.org/10.1063/1.5120818

Published: March 2020

View article titled, Spectral forecast: A general purpose prediction model as an alternative to classical neural networks

Includes: Supplementary data

Journal Articles

Two efficient calculations of edit distance between marked point processes

Yoshito Hirata, Noriyoshi Sukegawa

Chaos 29, 101107 (2019)

https://doi.org/10.1063/1.5125651

Published: October 2019

View article titled, Two efficient calculations of edit distance between marked point processes

Journal Articles

Network embedding for link prediction: The pitfall and improvement

Ren-Meng Cao, Si-Yuan Liu, Xiao-Ke Xu

Chaos 29, 103102 (2019)

https://doi.org/10.1063/1.5120724

Published: October 2019

View article titled, Network embedding for link prediction: The pitfall and improvement

Journal Articles

Multiscale fractional order generalized information of financial time series based on similarity distribution entropy

Meng Xu, Pengjian Shang, Yue Qi, Sheng Zhang

Chaos 29, 053108 (2019)

https://doi.org/10.1063/1.5045121

Published: May 2019

View article titled, Multiscale fractional order generalized information of financial time series based on similarity distribution entropy

Journal Articles

Inhomogeneities and caustics in the sedimentation of noninertial particles in incompressible flows

Gábor Drótos, Pedro Monroy, Emilio Hernández-García, Cristóbal López

Chaos 29, 013115 (2019)

https://doi.org/10.1063/1.5024356

Published: January 2019

View article titled, Inhomogeneities and caustics in the sedimentation of noninertial particles in incompressible flows

NARROW

Topics

An algorithm for simplified recurrence analysis

An information theory approach to stock market liquidity

Fractal networks: Topology, dimension, and complexity

An “Observable” horseshoe map

Filtration evolution of hypergraphs: A novel approach to studying multidimensional datasets

Strange attractors for the family of orientation preserving Lozi maps

A bottom-up approach for recurrence detection based on sampling distance

Exploring predictive states via Cantor embeddings and Wasserstein distance

Dual-domain analysis of gun violence incidents in the United States

Two-step seeding strategy in multiplex networks with inter-layer conversion cost of influence

Detecting intrinsic global geometry of an obstacle via layered scattering

Rate of convergence in the disjunctive chaos game algorithm

Topological analysis of the latent geometry of a complex network

Noise-driven multistability vs deterministic chaos in phenomenological semi-empirical models of whole-brain activity

Measuring chaos by entropy for a finite family of functions

Spectral forecast: A general purpose prediction model as an alternative to classical neural networks

Two efficient calculations of edit distance between marked point processes

Network embedding for link prediction: The pitfall and improvement

Multiscale fractional order generalized information of financial time series based on similarity distribution entropy

Inhomogeneities and caustics in the sedimentation of noninertial particles in incompressible flows

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