RT @MartinHTrauth@twitter.com

During module M5 of our summer school Norbert Marwan is discussing plots we used in the 1990s to map cycles in ~30 kyr old laminated sediments from the Santa Maria basin in NW Argentina. mres.uni-potsdam.de/index.php/ @recurrenceplot@twitter.com

🐦🔗: twitter.com/MartinHTrauth/stat

Detection of data corruption in stationary time series using recurrence microstates probabilities doi.org/10.1140/epjs/s11734-02

Analysis of epileptic seizures based on EEG using recurrence plot images and deep learning doi.org/10.1016/j.bspc.2021.10

Improved short-term prediction by decomposing deterministic and stochastic components using @recurrenceplot@twitter.com methods doi.org/10.1016/j.renene.2021.

Complex network perspective on modelling chaotic systems via machine learning doi.org/10.1088/1674-1056/abd9

RT @GuillChevance@twitter.com

I promise I will make my digestion public and try to share insights progressively in the next weeks


These methods are interesting too if you want to re decorate your home in a 60/70's mindset 🕺

🐦🔗: twitter.com/GuillChevance/stat

RT @FredHasselman@twitter.com

Interested in the Complex System Approach to Behavioural Science?

Apply for the PhD position “Tipping Points in Treatment Trajectories” and work with @AnnaLichtwarck@twitter.com and myself on new directions for personalized diagnosis and intervention in youth care! twitter.com/annalichtwarck/sta

🐦🔗: twitter.com/FredHasselman/stat

RT @SujithRI@twitter.com

Recurrance quantification using proves to be a robust measure in predicting dynamical transitions in nonlinear, real world systems such as combustion systems. Kudos to @SciTobias@twitter.com @VishnuRUnni@twitter.com @pucicu@twitter.com for this paper in @SpringerNature@twitter.com doi.org/10.1007/s11071-021-064

🐦🔗: twitter.com/SujithRI/status/13

Complex systems approaches for Earth system data analysis
(including methods) iopscience.iop.org/article/10. @IOPscience@twitter.com @PIK_Climate@twitter.com

RT @pucicu@twitter.com

If you need an alternative attractor reconstruction (other than time delay embedding), try the new PECUZAL approach: iopscience.iop.org/article/10. @IOPscience@twitter.com

🐦🔗: twitter.com/pucicu/status/1379

RT @pucicu@twitter.com

PhD position available on extreme events impact on complex networks (project Q10):
uni-potsdam.de/en/natriskchang @NatRiskChange@twitter.com @PIK_Climate@twitter.com

🐦🔗: twitter.com/pucicu/status/1376

Reconstruction of time series with missing value using 2D representation-based denoising autoencoder doi.org/10.23919/JSEE.2020.000

Show older

Server run by the main developers of the project 🐘 It is not focused on any particular niche interest - everyone is welcome as long as you follow our code of conduct!