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

Oh BTW

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
Mastodon

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!