AGIOLLO, ANDREA
AGIOLLO, ANDREA
DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
Dottorandi
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 | - |