tag : symbolic knowledge extraction
11 publications
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review (ACM Computing Surveys, 2024) — Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini From Large Language Models to Small Logic Programs: Building Global Explanations from Disagreeing Local Post-hoc Explainers (Autonomous Agents and Multi-Agent Systems, 2024) — Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep Kumar Murukannaiah, Andrea Omicini Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm (2023) — Federico Sabbatini, Roberta Calegari Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents (WOA 2023) — Federico Sabbatini, Roberta Calegari Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score (ECAI-2023) — Federico Sabbatini, Roberta Calegari Symbolic Knowledge Extraction for Explainable Nutritional Recommenders (Computer Methods and Programs in Biomedicine, 2023) — Matteo Magnini, Giovanni Ciatto, Furkan Cantürk, Reyhan Aydoǧan, Andrea Omicini Bridging Symbolic and Sub-Symbolic AI: Towards Cooperative Transfer Learning in Multi-Agent Systems (AIxIA 2022) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques (ECAI-2023) — Federico Sabbatini, Roberta Calegari Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO (KR 2022) — Federico Sabbatini, Roberta Calegari Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments (Intelligenza Artificiale, 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (WOA 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini