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Chaos (Woodbury, N.Y.)|April 10, 2025
Chaotic time series classification by means of reservoir-based convolutional neural networksKaiwen Jiang, Zonghua Liu, Michael Small, et al.Physical Review Letters|November 13, 2007
Scale-free distribution of avian influenza outbreaksMichael Small, David M Walker, Chi Kong TsePhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 7, 2007
From phase space to frequency domain: a time-frequency analysis for chaotic time seriesJunfeng Sun, Yi Zhao, Tomomichi Nakamura, et al.Chaos (Woodbury, N.Y.)|January 2, 2017
Counting forbidden patterns in irregularly sampled time series. I. The effects of under-sampling, random depletion, and timing jitterMichael McCullough, Konstantinos Sakellariou, Thomas Stemler, et al.Chaos (Woodbury, N.Y.)|January 3, 2015
Estimating the epidemic threshold on networks by deterministic connectionsKezan Li, Xinchu Fu, Michael Small, et al.Chaos (Woodbury, N.Y.)|January 1, 2022
Grading your models: Assessing dynamics learning of models using persistent homologyEugene Tan, Débora Corrêa, Thomas Stemler, et al.Chaos (Woodbury, N.Y.)|April 3, 2012
The impact of awareness on epidemic spreading in networksQingchu Wu, Xinchu Fu, Michael Small, et al.Chaos (Woodbury, N.Y.)|April 3, 2012
Multiscale characterization of recurrence-based phase space networks constructed from time seriesRuoxi Xiang, Jie Zhang, Xiao-Ke Xu, et al.Chaos (Woodbury, N.Y.)|April 3, 2021
Reservoir computing with swarmsThomas Lymburn, Shannon D Algar, Michael Small, et al.Plos Medicine|January 12, 2024
Mapping clinical interactions in an Australian tertiary hospital emergency department for patients presenting with risk of suicide or self-harm: Network modeling from observational dataMichael H McCullough, Michael Small, Binu Jayawardena, et al.Pageof 17