2 citations · 2 across the 5 of their papers we have counts for
3 papers · 1 filter
Clarity: The Flexibility-Interpretability Trade-Off in Sparsity-aware Concept Bottleneck Models
Konstantinos P. Panousis, Diego Marcos
The widespread adoption of deep learning models in computer vision has intensified concerns about interpretability. Despite strong performance, these models are often treated as bl…
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…
Applying the maximum entropy principle to neural networks enhances multi-species distribution models
Maxime Ryckewaert, Diego Marcos, Christophe Botella +3
The rapid expansion of citizen science initiatives has led to a significant growth of biodiversity databases, and particularly presence-only (PO) observations. PO data are invaluab…