RENDA, ALESSANDRO Statistiche
RENDA, ALESSANDRO
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE
Federated SHAP: Privacy-Preserving and Consistent Post-hoc Explainability in Federated Learning
2026-01-01 Ducange, Pietro; Marcelloni, Francesco; Miglionico, Giustino Claudio; Renda, Alessandro; Ruffini, Fabrizio
An NLP-Based Approach for Surgical Site Infection Surveillance Using Hospital Discharge Letters
2025-01-01 Arzilli, G; Baglivo, F; De Angelis, L; Casigliani, V; Renda, A; Bondielli, A; Dell'Oglio, P; Acampora, V; Marcelloni, F; Rizzo, C
DL-SPP: A DEEP LEARNING SYSTEM FOR SPARE PARTS PREDICTION IN FIELD SERVICE OPERATIONS
2025-01-01 Schiavo, Alessio; Renda, Alessandro; Ducange, Pietro; Marcelloni, Francesco
Fundamentals on explainable and interpretable artificial intelligence models
2025-01-01 Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio
Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees
2025-01-01 Corcuera Barcena, J. L.; Ducange, P.; Marcelloni, F.; Renda, A.
Security Threats to Explainable Classifiers in Federated Learning
2025-01-01 Daole, Mattia; Ducange, Pietro; Herrera, Francisco; Marcelloni, Francesco; Renda, Alessandro; Rodríguez-Barroso, Nuria
Un approccio basato su NLP per la sorveglianza delle infezioni del sito chirurgico utilizzando le lettere di dimissione ospedaliera
2025-01-01 Tosi, Filippo; Arzilli, Guglielmo; Baglivo, Francesco; Fondelli, Serena; Renda, Alessandro; Bondielli, Alessandro; Dell’Oglio, Pietro; Acampora, Vittoria; Marcelloni, Francesco; Rizzo, Caterina
Consistent Post-Hoc Explainability in Federated Learning through Federated Fuzzy Clustering
2024-01-01 Marcelloni, Francesco; Ducange, Pietro; Renda, Alessandro; Ruffini, Fabrizio
Federated c-means and Fuzzy c-means Clustering Algorithms for Horizontally and Vertically Partitioned Data
2024-01-01 Corcuera Barcena, J. L.; Marcelloni, F.; Renda, A.; Bechini, A.; Ducange, P.
Federated Learning of XAI models in healthcare: a case study on Parkinson's Disease
2024-01-01 Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio
On Predicting Spare Parts for Field Services by Leveraging Fault Description and Historical Repairing Data
2024-01-01 Schiavo, Alessio; Marcelloni, Francesco; Ducange, Pietro; Renda, Alessandro; Ruffini, Fabrizio; Dani, Renzo
Trustworthy AI in Heterogeneous Settings: Federated Learning of Explainable Classifiers
2024-01-01 Daole, Mattia; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro
XAIMed: A Diagnostic Support Tool for Explaining AI Decisions on Medical Images
2024-01-01 Daole, Mattia; Ducange, Pietro; Marcelloni, Francesco; Miglionico, Giustino; Renda, Alessandro; Schiavo, Alessio
An Application for Federated Learning of XAI Models in Edge Computing Environments
2023-01-01 Bechini, Alessio; Daole, Mattia; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro
Enabling federated learning of explainable AI models within beyond-5G/6G networks
2023-01-01 Corcuera Bárcena, José Luis; Ducange, Pietro; Marcelloni, Francesco; Nardini, Giovanni; Noferi, Alessandro; Renda, Alessandro; Ruffini, Fabrizio; Schiavo, Alessio; Stea, Giovanni; Virdis, Antonio
Experimental Assessment of Heterogeneous Fuzzy Regression Trees
2023-01-01 Bárcena, José; Ducange, Pietro; Gallo, Riccardo; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio
Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks
2023-01-01 Corcuera Barcena, J. L.; Daole, M.; Ducange, P.; Marcelloni, F.; Nardini, G.; Renda, A.; Stea, G.
Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson’s Disease Progression
2023-01-01 Corcuera Barcena, J. L.; Ducange, P.; Marcelloni, F.; Renda, A.; Ruffini, F.
Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks
2023-01-01 Corcuera Bárcena, José Luis; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio; Schiavo, Alessio
OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python
2023-01-01 Daole, M.; Schiavo, A.; Corcuera Barcena, J. L.; Ducange, P.; Marcelloni, F.; Renda, A.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Federated SHAP: Privacy-Preserving and Consistent Post-hoc Explainability in Federated Learning | 1-gen-2026 | Ducange, Pietro; Marcelloni, Francesco; Miglionico, Giustino Claudio; Renda, Alessandro; Ruffini, Fabrizio | |
| An NLP-Based Approach for Surgical Site Infection Surveillance Using Hospital Discharge Letters | 1-gen-2025 | Arzilli, G; Baglivo, F; De Angelis, L; Casigliani, V; Renda, A; Bondielli, A; Dell'Oglio, P; Acampora, V; Marcelloni, F; Rizzo, C | |
| DL-SPP: A DEEP LEARNING SYSTEM FOR SPARE PARTS PREDICTION IN FIELD SERVICE OPERATIONS | 1-gen-2025 | Schiavo, Alessio; Renda, Alessandro; Ducange, Pietro; Marcelloni, Francesco | |
| Fundamentals on explainable and interpretable artificial intelligence models | 1-gen-2025 | Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio | |
| Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees | 1-gen-2025 | Corcuera Barcena, J. L.; Ducange, P.; Marcelloni, F.; Renda, A. | |
| Security Threats to Explainable Classifiers in Federated Learning | 1-gen-2025 | Daole, Mattia; Ducange, Pietro; Herrera, Francisco; Marcelloni, Francesco; Renda, Alessandro; Rodríguez-Barroso, Nuria | |
| Un approccio basato su NLP per la sorveglianza delle infezioni del sito chirurgico utilizzando le lettere di dimissione ospedaliera | 1-gen-2025 | Tosi, Filippo; Arzilli, Guglielmo; Baglivo, Francesco; Fondelli, Serena; Renda, Alessandro; Bondielli, Alessandro; Dell’Oglio, Pietro; Acampora, Vittoria; Marcelloni, Francesco; Rizzo, Caterina | |
| Consistent Post-Hoc Explainability in Federated Learning through Federated Fuzzy Clustering | 1-gen-2024 | Marcelloni, Francesco; Ducange, Pietro; Renda, Alessandro; Ruffini, Fabrizio | |
| Federated c-means and Fuzzy c-means Clustering Algorithms for Horizontally and Vertically Partitioned Data | 1-gen-2024 | Corcuera Barcena, J. L.; Marcelloni, F.; Renda, A.; Bechini, A.; Ducange, P. | |
| Federated Learning of XAI models in healthcare: a case study on Parkinson's Disease | 1-gen-2024 | Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio | |
| On Predicting Spare Parts for Field Services by Leveraging Fault Description and Historical Repairing Data | 1-gen-2024 | Schiavo, Alessio; Marcelloni, Francesco; Ducange, Pietro; Renda, Alessandro; Ruffini, Fabrizio; Dani, Renzo | |
| Trustworthy AI in Heterogeneous Settings: Federated Learning of Explainable Classifiers | 1-gen-2024 | Daole, Mattia; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro | |
| XAIMed: A Diagnostic Support Tool for Explaining AI Decisions on Medical Images | 1-gen-2024 | Daole, Mattia; Ducange, Pietro; Marcelloni, Francesco; Miglionico, Giustino; Renda, Alessandro; Schiavo, Alessio | |
| An Application for Federated Learning of XAI Models in Edge Computing Environments | 1-gen-2023 | Bechini, Alessio; Daole, Mattia; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro | |
| Enabling federated learning of explainable AI models within beyond-5G/6G networks | 1-gen-2023 | Corcuera Bárcena, José Luis; Ducange, Pietro; Marcelloni, Francesco; Nardini, Giovanni; Noferi, Alessandro; Renda, Alessandro; Ruffini, Fabrizio; Schiavo, Alessio; Stea, Giovanni; Virdis, Antonio | |
| Experimental Assessment of Heterogeneous Fuzzy Regression Trees | 1-gen-2023 | Bárcena, José; Ducange, Pietro; Gallo, Riccardo; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio | |
| Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks | 1-gen-2023 | Corcuera Barcena, J. L.; Daole, M.; Ducange, P.; Marcelloni, F.; Nardini, G.; Renda, A.; Stea, G. | |
| Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson’s Disease Progression | 1-gen-2023 | Corcuera Barcena, J. L.; Ducange, P.; Marcelloni, F.; Renda, A.; Ruffini, F. | |
| Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks | 1-gen-2023 | Corcuera Bárcena, José Luis; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio; Schiavo, Alessio | |
| OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python | 1-gen-2023 | Daole, M.; Schiavo, A.; Corcuera Barcena, J. L.; Ducange, P.; Marcelloni, F.; Renda, A. |