Per Year
- Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
(article in journal) — Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
- Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Towards a Unified Model for Symbolic Knowledge Extraction with Hypercube-Based Methods (article in journal) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
- Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Explainable Clustering with CREAM (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- The PSyKE Technology for Trustworthy Artificial Intelligence (paper in proceedings) — Roberta Calegari, Federico Sabbatini
- Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments (article in journal) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
- Semantic Web-based Interoperability for Intelligent Agents with PSyKE (paper in proceedings) — Federico Sabbatini, Giovanni Ciatto, Andrea Omicini
- Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (paper in proceedings) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
- Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction (paper in proceedings) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
- GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors (paper in proceedings) — Federico Sabbatini, Giovanni Ciatto, Andrea Omicini
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