Repository of the paper "CoreGDM: Geometric Deep Learning Network Decycling and Dismantling" by M. Grassia and G. Mangioni
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Updated
Sep 27, 2023
Repository of the paper "CoreGDM: Geometric Deep Learning Network Decycling and Dismantling" by M. Grassia and G. Mangioni
The supplemental material for the journal article: Early-warning signals for disease activity in patients diagnosed with multiple sclerosis based on keystroke dynamics
A research compedium (data, code, manuscript) for project on detecting critical slowing down in measles dynamics.
Build early warning indicators with SAS
Data, code and results from O'Brien D.A., Deb S., Gal G., Thackeray S.J., Dutta P.S., Matsuzaki S.S., May L. & Clements C.F. 2023. Early warning signals have limited applicability to empirical lake data.
Research on developing a new method for determining the warning time of Early Warning Signals. Also an attempt at removing window size uncertainty from EWS analysis
CAP (Common Alerting Protocol) XML alert format parsing, HTML parsing, inserting new alerts into database, OneSignal (possible Android and iOS push notifications), Twitter, Facebook, MailChimp (e-mail notifications) for project of open source solution for natural disasters early-warning.
Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection
Repository of the paper "Machine learning dismantling and early-warning signals of disintegration in complex systems" by M. Grassia, M. De Domenico and G. Mangioni
Python package for early warning signals (EWS) of bifurcations in time series data.
Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)
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