Federico Sabbatini

36 papers A* 2A 1Journal 12Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Four Decades of Symbolic Knowledge Extraction from Sub-Symbolic Predictors. A Survey.
ACM Comput. Surv.
Federico Sabbatini
2025 — conf
A Fairness-Oriented Visual Extension for the PSyKE Platform.
AEQUITAS@ECAI
Federico Sabbatini
2025 J jnl
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review.
CoRR
Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
2025 — conf
Symbolic Knowledge Quality Evaluation with WInd.
WOA
Federico Sabbatini, Roberta Calegari
2024 — conf
A Front-End Circuit in 28 nm CMOS for Hydrogenated Amorphous Silicon Detectors in Clinical Dosimetry.
MOCAST
Giovanni Mazza, Lorenzo Piccolo, Luca Antognini, Saba Aziz, Aishah Bashiri, Lucio Calcagnile, Daniela Calvo, Domenico Caputo, Anna Paola Caricato, Roberto Catalano, Roberto Cirio, Giuseppe Antonio Pablo Cirrone, Tommaso Croci, Giacomo Cuttone, Gianpiero De Cesare, Paolo De Remigis, Sylvain Dunand, Michele Fabi, Luca Frontini, Catia Grimani, Mariacristina Guarrera, Maria Ionica, Keida Kanxheri, Matthew Large, Francesca Lenta, Valentino Liberali, Nicola Lovecchio, Maurizio Martino, Giuseppe Maruccio, Mauro Menichelli, Anna Grazia Monteduro, Arianna Morozzi, Francesco Moscatelli, Augusto Nascetti, Stefania Pallotta, Daniele Passeri, Maddalena Pedio, Marco Petasecca, Giada Petringa, Francesca Peverini, Pisana Placidi, Gianluca Quarta, Silvia Rizzato, Federico Sabbatini, Leonello Servoli, Alberto Stabile, Cinzia Talamonti, Jonathan Emanuel Thomet, Luca Tosti, Mattia Villani, Richard James Wheadon, Nicolas Wyrsch, Nicola Zema
2024 — conf
Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care.
EXPLIMED@ECAI
Christel Sirocchi, Muhammad Suffian Nizami, Federico Sabbatini, Alessandro Bogliolo, Sara Montagna
2024 J jnl
Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care.
CoRR
Christel Sirocchi, Muhammad Suffian Nizami, Federico Sabbatini, Alessandro Bogliolo, Sara Montagna
2024 — conf
Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors.
AI*IA
Federico Sabbatini, Roberta Calegari
2024 — conf
ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality.
AI*IA
Federico Sabbatini, Roberta Calegari
2024 J jnl
On the evaluation of the symbolic knowledge extracted from black boxes.
AI Ethics
Federico Sabbatini, Roberta Calegari
2024 — conf
Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems.
WOA
Federico Sabbatini, Christel Sirocchi, Roberta Calegari
2024 J jnl
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review.
ACM Comput. Surv.
Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
2024 — conf
Unmasking the Shadows: Leveraging Symbolic Knowledge Extraction to Discover Biases and Unfairness in Opaque Predictive Models.
AEQUITAS@ECAI
Federico Sabbatini, Roberta Calegari
2024 J jnl
Untying black boxes with clustering-based symbolic knowledge extraction.
Intelligenza Artificiale
Federico Sabbatini, Roberta Calegari
2023 — conf
Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques.
ECAI Workshops (1)
Federico Sabbatini, Roberta Calegari
2023 — conf
Bottom-Up and Top-Down Workflows for Hypercube- And Clustering-Based Knowledge Extractors.
EXTRAAMAS
Federico Sabbatini, Roberta Calegari
2023 — conf
ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation.
KoDis+CAKR@KR
Federico Sabbatini, Roberta Calegari
2023 A* conf
Explainable Clustering with CREAM.
KR
Federico Sabbatini, Roberta Calegari
2023 J jnl
Solar Wind Speed Estimate with Machine Learning Ensemble Models for LISA.
CoRR
Federico Sabbatini, Catia Grimani
2023 A conf
Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score.
ECAI
Federico Sabbatini, Roberta Calegari
2023 J jnl
Towards a unified model for symbolic knowledge extraction with hypercube-based methods.
Intelligenza Artificiale
Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
2023 — conf
Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents.
WOA
Federico Sabbatini, Roberta Calegari
2023 — conf
Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm.
BEWARE@AI*IA
Federico Sabbatini, Roberta Calegari
2023 — conf
X-ray qualification of hydrogenated amorphous silicon sensors on flexible substrate.
IWASI
Mauro Menichelli, Luca Antognini, Aishah Bashiri, Marco Bizzarri, Lucio Calcagnile, M. Caprai, Anna Paola Caricato, Roberto Catalano, Giuseppe Antonio Pablo Cirrone, Tommaso Croci, Giacomo Cuttone, Sylvain Dunand, Michele Fabi, Luca Frontini, Catia Grimani, Maria Ionica, Keida Kanxheri, Matthew Large, Valentino Liberali, Maurizio Martino, Giuseppe Maruccio, Giovanni Mazza, A. G. Monteduro, Arianna Morozzi, Francesco Moscatelli, Stefania Pallotta, A. Papi, Daniele Passeri, Maddalena Pedio, Marco Petasecca, Giada Petringa, Francesca Peverini, Lorenzo Piccolo, Pisana Placidi, Gianluca Quarta, Silvia Rizzato, G. Rossi, Federico Sabbatini, Alberto Stabile, Leonello Servoli, Cinzia Talamonti, Luca Tosti, Mattia Villani, Richard James Wheadon, Nicolas Wyrsch, Nicola Zema
2022 J jnl
Clustering-Based Approaches for Symbolic Knowledge Extraction.
CoRR
Federico Sabbatini, Roberta Calegari
2022 J jnl
Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper.
CoRR
Federico Sabbatini, Roberta Calegari
2022 — conf
Hypercube-based methods for symbolic knowledge extraction: towards a unified model.
WOA
Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
2022 — conf
Semantic Web-Based Interoperability for Intelligent Agents with PSyKE.
EXTRAAMAS@AAMAS
Federico Sabbatini, Giovanni Ciatto, Andrea Omicini
2022 A* conf
Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO.
KR
Federico Sabbatini, Roberta Calegari
2022 J jnl
Symbolic Knowledge Extraction from Opaque Predictors Applied to Cosmic-Ray Data Gathered with LISA Pathfinder.
CoRR
Federico Sabbatini, Catia Grimani
2022 J jnl
Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments.
Intelligenza Artificiale
Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
2022 — conf
The PSyKE Technology for Trustworthy Artificial Intelligence.
AI*IA
Roberta Calegari, Federico Sabbatini
2021 — conf
GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors.
EXTRAAMAS@AAMAS
Federico Sabbatini, Giovanni Ciatto, Andrea Omicini
2021 — conf
On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction.
WOA
Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
2020 — conf
Improvements to the G-Lorep Federation of Learning Object Repositories.
ICCSA (7)
Federico Sabbatini, Sergio Tasso, Simonetta Pallottelli, Osvaldo Gervasi
2019 — conf
Cloud and Local Servers for a Federation of Molecular Science Learning Object Repositories.
ICCSA (6)
Sergio Tasso, Simonetta Pallottelli, Osvaldo Gervasi, Federico Sabbatini, Valentina Franzoni, Antonio Laganà