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Federico Sabbatini

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2020 – today

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2024
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Federico Sabbatini, Roberta Calegari:
On the evaluation of the symbolic knowledge extracted from black boxes. AI Ethics 4(1): 65-74 (2024)
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Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini:
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review. ACM Comput. Surv. 56(6): 161:1-161:35 (2024)
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Federico Sabbatini, Roberta Calegari:
Untying black boxes with clustering-based symbolic knowledge extraction. Intelligenza Artificiale 18(1): 21-34 (2024)
[c20]
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Federico Sabbatini, Roberta Calegari:
Unmasking the Shadows: Leveraging Symbolic Knowledge Extraction to Discover Biases and Unfairness in Opaque Predictive Models. AEQUITAS@ECAI 2024
[c19]
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Christel Sirocchi, Muhammad Suffian Nizami, Federico Sabbatini, Alessandro Bogliolo, Sara Montagna:
Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care. EXPLIMED@ECAI 2024
[c18]
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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:
A Front-End Circuit in 28 nm CMOS for Hydrogenated Amorphous Silicon Detectors in Clinical Dosimetry. MOCAST 2024: 1-4
[c17]
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Federico Sabbatini, Christel Sirocchi, Roberta Calegari:
Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems. WOA 2024: 202-216
2023
[j2]
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Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini:
Towards a unified model for symbolic knowledge extraction with hypercube-based methods. Intelligenza Artificiale 17(1): 63-75 (2023)
[c16]
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Federico Sabbatini, Roberta Calegari:
Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm. BEWARE@AI*IA 2023: 1-14
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Federico Sabbatini, Roberta Calegari:
Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques. ECAI Workshops (1) 2023: 179-197
[c14]
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Federico Sabbatini, Roberta Calegari:
Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score. ECAI 2023: 2033-2040
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Federico Sabbatini, Roberta Calegari:
Bottom-Up and Top-Down Workflows for Hypercube- And Clustering-Based Knowledge Extractors. EXTRAAMAS 2023: 116-129
[c12]
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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, N. Zema:
X-ray qualification of hydrogenated amorphous silicon sensors on flexible substrate. IWASI 2023: 190-193
[c11]
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Federico Sabbatini, Roberta Calegari:
ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation. KoDis+CAKR@KR 2023
[c10]
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Federico Sabbatini, Roberta Calegari:
Explainable Clustering with CREAM. KR 2023: 593-603
[c9]
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Federico Sabbatini, Roberta Calegari:
Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents. WOA 2023: 232-245
[i4]
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Federico Sabbatini, Catia Grimani:
Solar Wind Speed Estimate with Machine Learning Ensemble Models for LISA. CoRR abs/2302.06740 (2023)
2022
[j1]
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Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini:
Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments. Intelligenza Artificiale 16(1): 27-48 (2022)
[c8]
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Roberta Calegari, Federico Sabbatini:
The PSyKE Technology for Trustworthy Artificial Intelligence. AI*IA 2022: 3-16
[c7]
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Federico Sabbatini, Giovanni Ciatto, Andrea Omicini:
Semantic Web-Based Interoperability for Intelligent Agents with PSyKE. EXTRAAMAS@AAMAS 2022: 124-142
[c6]
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Federico Sabbatini, Roberta Calegari:
Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO. KR 2022
[c5]
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Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini:
Hypercube-based methods for symbolic knowledge extraction: towards a unified model. WOA 2022: 48-60
[i3]
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  - journals/corr/abs-2209-04697
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Federico Sabbatini, Catia Grimani:
Symbolic Knowledge Extraction from Opaque Predictors Applied to Cosmic-Ray Data Gathered with LISA Pathfinder. CoRR abs/2209.04697 (2022)
[i2]
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  - journals/corr/abs-2211-00234
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Federico Sabbatini, Roberta Calegari:
Clustering-Based Approaches for Symbolic Knowledge Extraction. CoRR abs/2211.00234 (2022)
[i1]
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  - journals/corr/abs-2211-00238
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Federico Sabbatini, Roberta Calegari:
Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper. CoRR abs/2211.00238 (2022)
2021
[c4]
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Federico Sabbatini, Giovanni Ciatto, Andrea Omicini:
GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors. EXTRAAMAS@AAMAS 2021: 18-38
[c3]
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Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini:
On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction. WOA 2021: 29-48
2020
[c2]
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Federico Sabbatini, Sergio Tasso, Simonetta Pallottelli, Osvaldo Gervasi:
Improvements to the G-Lorep Federation of Learning Object Repositories. ICCSA (7) 2020: 526-537

2010 – 2019

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2019
[c1]
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Sergio Tasso, Simonetta Pallottelli, Osvaldo Gervasi, Federico Sabbatini, Valentina Franzoni, Antonio Laganà:
Cloud and Local Servers for a Federation of Molecular Science Learning Object Repositories. ICCSA (6) 2019: 359-373

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