AEQUITAS
Info | Partners | Publications | Talks | Events | Tags | Acknowledgement |
- Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques (paper in proceedings, 2023) — Federico Sabbatini, Roberta Calegari
- ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (paper in proceedings, 2023) — Federico Sabbatini, Roberta Calegari
- A geometric framework for fairness (paper in proceedings, 2023) — Alessandro Maggio, Luca Giuliani, Roberta Calegari, Michele Lombardi, Michela Milano
- FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System (paper in proceedings, 2023) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
- Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm (paper in proceedings, 2023) — Federico Sabbatini, Roberta Calegari
- Assessing and Enforcing Fairness in the AI Lifecycle (paper in proceedings, 2023) — Roberta Calegari, Gabriel G. Castañé, Michela Milano, Barry O’Sullivan
- Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents (paper in proceedings, 2023) — Federico Sabbatini, Roberta Calegari