3 papers
cs.LG2026
From field-scale to large-scale spectral libraries: Tabular foundation models in soil spectroscopy
Viacheslav Barkov, Jonas Schmidinger, Robin Gebbers +1
Visible and near-infrared (vis-NIR) and mid-infrared (MIR) spectroscopy enable rapid, cost-effective prediction of soil properties. Yet, translating high-dimensional, highly collin…
cs.LG2025
LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping
J. Schmidinger, S. Vogel, V. Barkov +33
Digital soil mapping (DSM) relies on a broad pool of statistical methods, yet determining the optimal method for a given context remains challenging and contentious. Benchmarking s…
cs.LG2025
PHEATPRUNER: Interpretable Data-centric Feature Selection for Multivariate Time Series Classification through Persistent Homology
Anh-Duy Pham, Olivier Basole Kashongwe, Martin Atzmueller +1
Balancing performance and interpretability in multivariate time series classification is a significant challenge due to data complexity and high dimensionality. This paper introduc…