75 citations · 161 across the 9 of their papers we have counts for
4 papers · 1 filter
Inference of hidden common driver dynamics by anisotropic self-organizing neural networks
Zsigmond Benkő, Marcell Stippinger, Zoltán Somogyvári
We are introducing a novel approach to infer the underlying dynamics of hidden common drivers, based on analyzing time series data from two driven dynamical systems. The inference…
Detecting Causality in the Frequency Domain with Cross-Mapping Coherence
Zsigmond Benkő, Bálint Varga, Marcell Stippinger +1
Understanding causal relationships within a system is crucial for uncovering its underlying mechanisms. Causal discovery methods, which facilitate the construction of such models f…
Feature space reduction method for ultrahigh-dimensional, multiclass data: Random forest-based multiround screening (RFMS)
Gergely Hanczár, Marcell Stippinger, Dávid Hanák +4
In recent years, numerous screening methods have been published for ultrahigh-dimensional data that contain hundreds of thousands of features; however, most of these features canno…
BiometricBlender: Ultra-high dimensional, multi-class synthetic data generator to imitate biometric feature space
Marcell Stippinger, Dávid Hanák, Marcell T. Kurbucz +3
The lack of freely available (real-life or synthetic) high or ultra-high dimensional, multi-class datasets may hamper the rapidly growing research on feature screening, especially…