Reconstructing shared dynamics with a deep neural network

1 code implementation • 5 May 2021 • Zsigmond Benkő, Zoltán Somogyvári

Determining hidden shared patterns behind dynamic phenomena can be a game-changer in multiple areas of research.

Time Series Time Series Analysis

Manifold-adaptive dimension estimation revisited

1 code implementation • 7 Aug 2020 • Zsigmond Benkő, Marcell Stippinger, Roberta Rehus, Attila Bencze, Dániel Fabó, Boglárka Hajnal, Loránd Erőss, András Telcs, Zoltán Somogyvári

Additionally, from the probability density function, we derive the maximum likelihood formula for global intrinsic dimensionality, if i. i. d.

How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series

1 code implementation • 23 Apr 2020 • Zsigmond Benkő, Tamás Bábel, Zoltán Somogyvári

TOF had superior performance compared to LOF and discord algorithms even in recognizing traditional outliers and it also recognized unique events that those did not.

Respiratory Failure Time Series +2

Complete Inference of Causal Relations between Dynamical Systems

1 code implementation • 31 Aug 2018 • Zsigmond Benkő, Ádám Zlatniczki, Marcell Stippinger, Dániel Fabó, András Sólyom, Loránd Erőss, András Telcs, Zoltán Somogyvári

From ancient philosophers to modern economists, biologists, and other researchers, there has been a continuous effort to unveil causal relations.

EEG Time Series