1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.MS2025
NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data
Fabian Woller, Lis Arend, Christian Fuchsberger +2
Existing Python libraries and tools lack the ability to efficiently compute statistical test results for large datasets in the presence of missing values. This presents an issue as…
physics.comp-ph2022★ 1 cited
Estimating relative diffusion from 3D micro-CT images using CNNs
Stephan Gärttner, Florian Frank, Fabian Woller +2
In the past several years, convolutional neural networks (CNNs) have proven their capability to predict characteristic quantities in porous media research directly from pore-space…