8 citations · 12 across the 3 of their papers we have counts for
5 papers
Forecasting Brain Activity Based on Models of Spatio-Temporal Brain Dynamics: A Comparison of Graph Neural Network Architectures
Simon Wein, Alina Schüller, Ana Maria Tomé +3
Comprehending the interplay between spatial and temporal characteristics of neural dynamics can contribute to our understanding of information processing in the human brain. Graph…
A Graph Neural Network Framework for Causal Inference in Brain Networks
Simon Wein, Wilhelm Malloni, Ana Maria Tomé +5
A central question in neuroscience is how self-organizing dynamic interactions in the brain emerge on their relatively static structural backbone. Due to the complexity of spatial…
Decomposing Temperature Time Series with Non-Negative Matrix Factorization
Peter Weiderer, Ana Maria Tomé, Elmar Wolfgang Lang
During the fabrication of casting parts sensor data is typically automatically recorded and accumulated for process monitoring and defect diagnosis. As casting is a thermal process…
A constrained ICA-EMD Model for Group Level fMRI Analysis
Simon Wein, Ana Maria Tomé, Markus Goldhacker +2
Independent component analysis (ICA), as a data driven method, has shown to be a powerful tool for functional magnetic resonance imaging (fMRI) data analysis. One drawback of this…
On the use of Singular Spectrum Analysis
A. M. Tomé, D. Malafaia, A. R. Teixeira +1
Singular Spectrum Analysis (SSA) or Singular Value Decomposition (SVD) are often used to de-noise univariate time series or to study their spectral profile. Both techniques rely on…