tag : eXplainable AI

Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score (ECAI-2023, 04/10/2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)

Explainable Clustering with CREAM (KR 2023, 07/09/2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)

Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score (KoDis 2023@KR 2023, 03/09/2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)

ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (KoDis 2023@KR 2023, 03/09/2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)

Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors (EXTRAAMAS 2023@AAMAS 2023, 29/05/2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)

On the Integration of Symbolic and Sub-symbolic – Explaining by Design (Italian National PhD Program in Artificial Intelligence, 10/02/2022) — Andrea Omicini (Andrea Omicini, Roberta Calegari, Giovanni Ciatto)

Explainability through argumentation in logic programming (CAUSAL 2021, 20/09/2021) — Marco Billi, Giuseppe Pisano (Marco Billi, Roberta Calegari, Giuseppe Contissa, Giuseppe Pisano, Galileo Sartor, Giovanni Sartor)

Argumentation and Logic Programming for Explainable and Ethical AI (AIxIA 2020, 25/11/2020) — Roberta Calegari (Andrea Omicini, Giovanni Sartor, Roberta Calegari)

Neuro-symbolic Computation for XAI: Towards a Unified Model (WOA 2020, 15/09/2020) — Giuseppe Pisano (Giovanni Ciatto, Giuseppe Pisano, Roberta Calegari, Andrea Omicini)

Interpretable Narrative Explanation for ML Predictors with LP: A Case Study for XAI (WOA 2019, 28/06/2019) — Roberta Calegari (Andrea Omicini, Giovanni Ciatto, Jason Dellaluce, Roberta Calegari)