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Federico Sabbatini

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2020 – today

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2023
[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
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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)
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Roberta Calegari, Federico Sabbatini:
The PSyKE Technology for Trustworthy Artificial Intelligence. AI*IA 2022: 3-16
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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
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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)
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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)
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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
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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
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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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