Per Year

9 publications without IRIS ID / 2024

Fairness and Bias in AI (special issue) — Roberta Calegari, Andrea Aler Tubella, Virginia Dignum, Michela Milano
ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality (paper in proceedings) — Federico Sabbatini, Roberta Calegari
LLM-based Solutions for Healthcare Chatbots: a Comparative Analysis (paper in proceedings) — Sara Montagna, Gianluca Aguzzi, Stefano Ferretti, Martino Francesco Pengo, Lorenz Cuno Klopfenstein, Michelangelo Ungolo, Matteo Magnini
Unmasking the Shadows: Leveraging Symbolic Knowledge Extraction to Discover Biases and Unfairness in Opaque Predictive Models (paper in proceedings) — Federico Sabbatini, Roberta Calegari
Long-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes (paper in proceedings) — Luca Giuliani, Eleonora Misino, Roberta Calegari, Michele Lombardi
Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors (paper in proceedings) — Federico Sabbatini, Roberta Calegari
Anonymous Federated Learning via Named-Data Networking (article in journal) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti
AI-fairness and equality of opportunity: a case study on educational achievement (paper in proceedings) — Ángel S. Marrero, Gustavo A. Marrero, Carlos Bethencourt, Liam James, Roberta Calegari
Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization (paper in proceedings) — Andrea Agiollo, Young In Kim, Rajiv Khanna

9 publications in 2024 without IRIS ID • top • index • bottom

publications without IRIS ID / 2024 / personal