2 papers
cs.LG2024
Counterfactual Explanations for Clustering Models
Aurora Spagnol, Kacper Sokol, Pietro Barbiero +2
Clustering algorithms rely on complex optimisation processes that may be difficult to comprehend, especially for individuals who lack technical expertise. While many explainable ar…
math.OC2023
Sensitivity analysis for sets : application to pollutant concentration maps
Noé Fellmann, Mathis Pasquier, Christophette Blanchet-Scalliet +3
In the context of air quality control, our objective is to quantify the impact of uncertain inputs such as meteorological conditions and traffic parameters on pollutant dispersion…