Per anno
7
presentazioni
/
2023
/
Federico Sabbatini
- Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents (presentazione, WOA 2023) — Giovanni Ciatto (Federico Sabbatini, Roberta Calegari)
- Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score (presentazione, ECAI-2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)
- Explainable Clustering with CREAM (presentazione, KR 2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)
- ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (presentazione, KoDis 2023@KR 2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)
- Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score (presentazione, KoDis 2023@KR 2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)
- Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors (presentazione, EXTRAAMAS 2023@AAMAS 2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)
- On the Evaluation of the Symbolic Knowledge Extracted from Black Boxes (presentazione, AAAI Spring Symposium 2023 – AITA: AI Trustworthiness Assessment) — Roberta Calegari (Federico Sabbatini, Roberta Calegari)
0000-0002-0532-6777