340 citations · 1.8k across the 24 of their papers we have counts for
3 papers · 1 filter
Sparse Linear Concept Discovery Models
Konstantinos P. Panousis, Dino Ienco, Diego Marcos
The recent mass adoption of DNNs, even in safety-critical scenarios, has shifted the focus of the research community towards the creation of inherently intrepretable models. Concep…
Towards Explainable Land Cover Mapping: a Counterfactual-based Strategy
Cassio F. Dantas, Diego Marcos, Dino Ienco
Counterfactual explanations are an emerging tool to enhance interpretability of deep learning models. Given a sample, these methods seek to find and display to the user similar sam…
A weakly supervised framework for high-resolution crop yield forecasts
Dilli R. Paudel, Diego Marcos, Allard de Wit +2
Predictor inputs and label data for crop yield forecasting are not always available at the same spatial resolution. We propose a deep learning framework that uses high resolution i…