Per Year

10 talks / 2023 / Roberta Calegari

2023

Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents (talk, WOA 2023) — Giovanni Ciatto (Federico Sabbatini, Roberta Calegari)
Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score (talk, ECAI-2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)
Multi-Agent Systems & Project Work in Multi-Agent Systems: Presentation of the Courses (informal, Welcome Day of the Master Degree Program in Artificial Intelligence) — Andrea Omicini (Andrea Omicini, Roberta Calegari)
Explainable Clustering with CREAM (talk, KR 2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)
ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (talk, KoDis 2023@KR 2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)
Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score (talk, KoDis 2023@KR 2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)
XAI: Current Frontiers and the Path Ahead Towards Trustworthy AI (talk, XLoKR 2023 - Explainable Logic-Based Knowledge Representation KR 2023) — Roberta Calegari (Roberta Calegari)
Assessing and Enforcing Fairness in the AI Lifecycle (talk, Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023)) — Roberta Calegari (Roberta Calegari, Gabriel Gonzalez Castane, Michela Milano, Barry O'Sullivan)
Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors (talk, EXTRAAMAS 2023@AAMAS 2023) — Federico Sabbatini (Federico Sabbatini, Roberta Calegari)
On the Evaluation of the Symbolic Knowledge Extracted from Black Boxes (talk, AAAI Spring Symposium 2023 – AITA: AI Trustworthiness Assessment) — Roberta Calegari (Federico Sabbatini, Roberta Calegari)

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