2 papers
cs.LG2025
An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items
Luca Corbucci, Javier Alejandro Borges Legrottaglie, Francesco Spinnato +2
Accurately identifying items forgotten during a supermarket visit and providing clear, interpretable explanations for recommending them remains an underexplored problem within the…
cs.LG2025
MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series
Dawid PÅudowski, Francesco Spinnato, Piotr WilczyÅski +4
Counterfactual explanations provide an intuitive way to understand model decisions by identifying minimal changes required to alter an outcome. However, applying counterfactual met…