2 papers
cs.LG2025
Self-supervised and Multi-fidelity Learning for Extended Predictive Soil Spectroscopy
Luning Sun, José L. Safanelli, Jonathan Sanderman +6
We propose a self-supervised machine learning (SSML) framework for multi-fidelity learning and extended predictive soil spectroscopy based on latent space embeddings. A self-superv…
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…