Federico Sabbatini

According to our database, Federico Sabbatini authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review.

Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini

ACM Comput. Surv., June, 2024

2023

Towards a unified model for symbolic knowledge extraction with hypercube-based methods.

Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini

Intelligenza Artificiale, 2023

Solar Wind Speed Estimate with Machine Learning Ensemble Models for LISA.

Federico Sabbatini, Catia Grimani

CoRR, 2023

Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents.

Federico Sabbatini, Roberta Calegari

Proceedings of the 24th Workshop "From Objects to Agents", 2023

Explainable Clustering with CREAM.

Federico Sabbatini, Roberta Calegari

Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, 2023

ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation.

Federico Sabbatini, Roberta Calegari

Proceedings of the Joint Proceedings of the 2nd Workshop on Knowledge Diversity and the 2nd Workshop on Cognitive Aspects of Knowledge Representation co-located with 20th International Conference on Principles of Knowledge Representation and Reasoning (KR2023), 2023

Bottom-Up and Top-Down Workflows for Hypercube- And Clustering-Based Knowledge Extractors.

Federico Sabbatini, Roberta Calegari

Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2023

Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques.

Federico Sabbatini, Roberta Calegari

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score.

Federico Sabbatini, Roberta Calegari

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm.

Federico Sabbatini, Roberta Calegari

Proceedings of the 2nd Workshop on Bias, 2023

2022

Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments.

Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini

Intelligenza Artificiale, 2022

Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper.

Federico Sabbatini, Roberta Calegari

CoRR, 2022

Clustering-Based Approaches for Symbolic Knowledge Extraction.

Federico Sabbatini, Roberta Calegari

CoRR, 2022

Symbolic Knowledge Extraction from Opaque Predictors Applied to Cosmic-Ray Data Gathered with LISA Pathfinder.

Federico Sabbatini, Catia Grimani

CoRR, 2022

Hypercube-based methods for symbolic knowledge extraction: towards a unified model.

Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini

Proceedings of the 23rd Workshop "From Objects to Agents", 2022

Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO.

Federico Sabbatini, Roberta Calegari

Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, 2022

Semantic Web-Based Interoperability for Intelligent Agents with PSyKE.

Federico Sabbatini, Giovanni Ciatto, Andrea Omicini

Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2022

The PSyKE Technology for Trustworthy Artificial Intelligence.

Roberta Calegari, Federico Sabbatini

Proceedings of the AIxIA 2022 - Advances in Artificial Intelligence, 2022

2021

On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction.

Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini

Proceedings of the 22nd Workshop "From Objects to Agents", 2021

GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors.

Federico Sabbatini, Giovanni Ciatto, Andrea Omicini

Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2021

2020

Improvements to the G-Lorep Federation of Learning Object Repositories.

Federico Sabbatini, Sergio Tasso, Simonetta Pallottelli, Osvaldo Gervasi

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019

Cloud and Local Servers for a Federation of Molecular Science Learning Object Repositories.

Sergio Tasso, Simonetta Pallottelli, Osvaldo Gervasi, Federico Sabbatini, Valentina Franzoni, Antonio Laganà

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019