Ron van Bree — accepted AI-conference papers

2025

Hybrid Phenology Modeling for Predicting Temperature Effects on Tree Dormancy

Ron van Bree, Diego Marcos, Ioannis N. Athanasiadis

AAAI 2025technical

Biophysical models offer valuable insights into climate-phenology relationships in both natural and agricultural settings. However, there are substantial structural discrepancies across models which require site-specific recalibration, often yielding inconsistent predictions under similar climate sc…

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2021

Neural Prototype Trees for Interpretable Fine-Grained Image Recognition

Meike Nauta, Ron van Bree, Christin Seifert

CVPR 2021poster

Prototype-based methods use interpretable representations to address the black-box nature of deep learning models, in contrast to post-hoc explanation methods that only approximate such models. We propose the Neural Prototype Tree (ProtoTree), an intrinsically interpretable deep learning method for…

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