3 papers
cs.LG2026
MixINN: Accelerating Plant Breeding by Combining Mixed Models and Deep Learning for Interaction Prediction
Aike Potze, Fred van Eeuwijk, Ioannis N. Athanasiadis
Plant breeding underpins global food security through incremental, accumulating improvements in crop yield, quality and sustainability, achieved via repeated cycles of crop ranking…
cs.LG2025
Positive-Unlabeled Learning for Control Group Construction in Observational Causal Inference
Ilias Tsoumas, Dimitrios Bormpoudakis, Vasileios Sitokonstantinou +4
In causal inference, whether through randomized controlled trials or observational studies, access to both treated and control units is essential for estimating the effect of a tre…
cs.LG2025
Hybrid Phenology Modeling for Predicting Temperature Effects on Tree Dormancy
Ron van Bree, Diego Marcos, Ioannis Athanasiadis
Biophysical models offer valuable insights into climate-phenology relationships in both natural and agricultural settings. However, there are substantial structural discrepancies a…