247 citations · 247 across the 1 of their papers we have counts for
2 papers
cs.LG2021
Informed Equation Learning
Matthias Werner, Andrej Junginger, Philipp Hennig +1
Distilling data into compact and interpretable analytic equations is one of the goals of science. Instead, contemporary supervised machine learning methods mostly produce unstructu…
cs.CV2020★ 247 cited
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources
S. Salcedo-Sanz, P. Ghamisi, M. Piles +7
This paper reviews the most important information fusion data-driven algorithms based on Machine Learning (ML) techniques for problems in Earth observation. Nowadays we observe and…