2 papers
cs.AI2026
Task-Conditioned Synthetic Data Generation for Improving Machine Learning Performance in Agricultural Prediction Tasks
Hamid Ebrahimy, Moritz Lucas, Martin Atzmueller
Machine Learning (ML) algorithms have been widely used to estimate agricultural variables across diverse contexts. However, because the quantity and quality of training data strong…
cs.LG2022
Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data
Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinović +2
Machine learning, with its advances in deep learning has shown great potential in analyzing time series. In many scenarios, however, additional information that can potentially imp…