AGIOLLO, ANDREA
AGIOLLO, ANDREA
DISI - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation
2024 Andrea Rafanelli, Matteo Magnini, Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
Anonymous Federated Learning via Named-Data Networking
2024 Agiollo A.; Bardhi E.; Conti M.; Dal Fabbro N.; Lazzeretti R.
EneA-FL: Energy-aware orchestration for serverless federated learning
2024 Andrea Agiollo, Paolo Bellavista, Matteo Mendula, Andrea Omicini
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
2024 Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
GNN4IFA: Interest Flooding Attack Detection With Graph Neural Networks
2023 Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Riccardo Lazzeretti, Eleonora Losiouk, Andrea Omicini
Measuring Trustworthiness in Neuro-Symbolic Integration
2023 Andrea Agiollo, Andrea Omicini
Peer-Reviewed Federated Learning
2023 Mattia Passeri, Andrea Agiollo, Andrea Omicini
Symbolic Knowledge Injection meets Intelligent Agents: QoS metrics and experiments
2023 Andrea Agiollo, Andrea Rafanelli, Matteo Magnini, Giovanni Ciatto, Andrea Omicini
The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing
2023 Andrea Agiollo, Luciano C. Siebert, Pradeep K. Murukannaiah, Andrea Omicini
GNN2GNN: Graph Neural Networks to Generate Neural Networks
2022 Andrea Agiollo, Andrea Omicini
Towards Quality-of-Service Metrics for Symbolic Knowledge Injection
2022 Andrea Agiollo, Andrea Rafanelli, Andrea Omicini
DETONAR: Detection of Routing Attacks in RPL-based IoT
2021 Andrea Agiollo, Mauro Conti, Pallavi Kaliyar, TsungNan Lin, Luca Pajola
Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: A Roadmap
2021 Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices
2021 Andrea Agiollo; Andrea Omicini
Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search
2021 Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling
2019 Umberto Michieli, Maria Camporese, Andrea Agiollo, Giampaolo Pagnutti, Pietro Zanuttigh
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation | Andrea Rafanelli, Matteo Magnini, Andrea Agiollo, Giovanni Ciatto, Andrea Omicini | 2024-01-01 | - | Sun SITE Central Europe, RWTH Aachen University | 4.01 Contributo in Atti di convegno | paper_02.pdf |
| Anonymous Federated Learning via Named-Data Networking | Agiollo A.; Bardhi E.; Conti M.; Dal Fabbro N.; Lazzeretti R. | 2024-01-01 | FUTURE GENERATION COMPUTER SYSTEMS | - | 1.01 Articolo in rivista | - |
| EneA-FL: Energy-aware orchestration for serverless federated learning | Andrea Agiollo, Paolo Bellavista, Matteo Mendula, Andrea Omicini | 2024-01-01 | FUTURE GENERATION COMPUTER SYSTEMS | - | 1.01 Articolo in rivista | 1-s2.0-S0167739X24000074-main.pdf |
| Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review | Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini | 2024-01-01 | ACM COMPUTING SURVEYS | - | 1.01 Articolo in rivista | 3645103.pdf |
| GNN4IFA: Interest Flooding Attack Detection With Graph Neural Networks | Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Riccardo Lazzeretti, Eleonora Losiouk, Andrea Omicini | 2023-01-01 | - | IEEE Computer Society | 4.01 Contributo in Atti di convegno | eurosp2023-final152.pdf |
| Measuring Trustworthiness in Neuro-Symbolic Integration | Andrea Agiollo, Andrea Omicini | 2023-01-01 | - | Polish Information Processing Society | 4.01 Contributo in Atti di convegno | 6019.pdf |
| Peer-Reviewed Federated Learning | Mattia Passeri, Andrea Agiollo, Andrea Omicini | 2023-01-01 | - | CEUR-WS | 4.01 Contributo in Atti di convegno | paper4.pdf |
| Symbolic Knowledge Injection meets Intelligent Agents: QoS metrics and experiments | Andrea Agiollo, Andrea Rafanelli, Matteo Magnini, Giovanni Ciatto, Andrea Omicini | 2023-01-01 | AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS | - | 1.01 Articolo in rivista | s10458-023-09609-6.pdf |
| The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing | Andrea Agiollo, Luciano C. Siebert, Pradeep K. Murukannaiah, Andrea Omicini | 2023-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | main.pdf |
| GNN2GNN: Graph Neural Networks to Generate Neural Networks | Andrea Agiollo, Andrea Omicini | 2022-01-01 | - | Machine Learning Research Press | 4.01 Contributo in Atti di convegno | - |
| Towards Quality-of-Service Metrics for Symbolic Knowledge Injection | Andrea Agiollo, Andrea Rafanelli, Andrea Omicini | 2022-01-01 | - | Sun SITE Central Europe, RWTH Aachen University | 4.01 Contributo in Atti di convegno | paper3.pdf |
| DETONAR: Detection of Routing Attacks in RPL-based IoT | Andrea Agiollo, Mauro Conti, Pallavi Kaliyar, TsungNan Lin, Luca Pajola | 2021-01-01 | IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT | - | 1.01 Articolo in rivista | Detonar_agiollo.pdf |
| Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: A Roadmap | Andrea Agiollo, Giovanni Ciatto, Andrea Omicini | 2021-01-01 | - | Sun SITE Central Europe, RWTH Aachen University | 4.01 Contributo in Atti di convegno | paper18.pdf |
| Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices | Andrea Agiollo; Andrea Omicini | 2021-01-01 | APPLIED SCIENCES | - | 1.01 Articolo in rivista | applsci-11-11957-v2.pdf |
| Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search | Andrea Agiollo, Giovanni Ciatto, Andrea Omicini | 2021-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | s2d-extraamas2021.pdf |
| Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling | Umberto Michieli, Maria Camporese, Andrea Agiollo, Giampaolo Pagnutti, Pietro Zanuttigh | 2019-01-01 | - | ACM | 4.01 Contributo in Atti di convegno | - |