AGIOLLO, ANDREA

AGIOLLO, ANDREA  

DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA  

Dottorandi  

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Risultati 1 - 16 di 16 (tempo di esecuzione: 0.035 secondi).
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 -