4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2026
L2GTX: From Local to Global Time Series Explanations
Ephrem Tibebe Mekonnen, Luca Longo, Lucas Rizzo +1
Deep learning models achieve high accuracy in time series classification, yet understanding their class-level decision behaviour remains challenging. Explanations for time series m…
cs.AI2023
A novel structured argumentation framework for improved explainability of classification tasks
Lucas Rizzo, Luca Longo
This paper presents a novel framework for structured argumentation, named extend argumentative decision graph (). It is an extension of argumentative decision graphs built up…
cs.AI2022★ 4 cited
Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts
Lucas Rizzo, Luca Longo
Dealing with uncertain, contradicting, and ambiguous information is still a central issue in Artificial Intelligence (AI). As a result, many formalisms have been proposed or adapte…