Andrea Agiollo, Paolo Bellavista, Matteo Mendula, Andrea Omicini, EneA-FL: Energy-aware orchestration for serverless federated learning, «FUTURE GENERATION COMPUTER SYSTEMS», 2024, 154, pp. 219 - 234 [Scientific article]Open Access
Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Riccardo Lazzeretti, Eleonora Losiouk, Andrea Omicini, GNN4IFA: Interest Flooding Attack Detection With Graph Neural Networks, in: 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), Los Alamitos, CA, IEEE Computer Society, 2023, pp. 615 - 630 (atti di: 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), Delft, Netherlands, 3-7 July 2023) [Contribution to conference proceedings]Open Access
Andrea Agiollo, Andrea Omicini, Measuring Trustworthiness in Neuro-Symbolic Integration, in: Proceedings of the 18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023), Warsaw, Polish Information Processing Society, 2023, 35, pp. 1 - 10 (atti di: 18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023), Warsaw, Poland, 17–20 September 2023) [Contribution to conference proceedings]Open Access
Mattia Passeri, Andrea Agiollo, Andrea Omicini, Peer-Reviewed Federated Learning, in: Proceedings of the 24th Workshop "From Objects to Agents", CEUR-WS, 2023, 3579, pp. 49 - 65 (atti di: 24th Workshop “From Objects to Agents” (WOA 2023), Roma, Italy, 6–8 November 2023) [Contribution to conference proceedings]Open Access
Andrea Agiollo, Andrea Rafanelli, Matteo Magnini, Giovanni Ciatto, Andrea Omicini, Symbolic Knowledge Injection meets Intelligent Agents: QoS metrics and experiments, «AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS», 2023, 37, Article number: 27 , pp. 1 - 30 [Scientific article]Open Access
Andrea Agiollo, Luciano C. Siebert, Pradeep K. Murukannaiah, Andrea Omicini, The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing, in: Explainable and Transparent AI and Multi-Agent Systems, Springer, 2023, 14127, pp. 97 - 115 (atti di: Explainable and Transparent AI and Multi-Agent Systems, London, UK, 29/5/2023—2/6/2023) [Contribution to conference proceedings]
Andrea Agiollo, Andrea Omicini, GNN2GNN: Graph Neural Networks to Generate Neural Networks, in: Uncertainty in Artificial Intelligence, Cambridge, MA, Machine Learning Research Press, 2022, 180, pp. 32 - 42 (atti di: 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), Eindhoven, The Netherlands, 1–5 August 2022) [Contribution to conference proceedings]
Andrea Agiollo, Andrea Rafanelli, Andrea Omicini, Towards Quality-of-Service Metrics for Symbolic Knowledge Injection, in: WOA 2022 – 23rd Workshop “From Objects to Agents”, Aachen, Sun SITE Central Europe, RWTH Aachen University, 2022, 3261, pp. 30 - 47 (atti di: 23rd Workshop "From Objects to Agents" (WOA22), Genova, Italy, 1–3 September 2022) [Contribution to conference proceedings]Open Access
Andrea Agiollo, Mauro Conti, Pallavi Kaliyar, TsungNan Lin, Luca Pajola, DETONAR: Detection of Routing Attacks in RPL-based IoT, «IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT», 2021, 18, Article number: 9415869 , pp. 1178 - 1190 [Scientific article]Open Access
Andrea Agiollo, Giovanni Ciatto, Andrea Omicini, Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: A Roadmap, in: WOA 2021 – 22nd Workshop “From Objects to Agents”, Aachen, Sun SITE Central Europe, RWTH Aachen University, 2021, 2963, pp. 98 - 115 (atti di: WOA 2021 – 22nd Workshop “From Objects to Agents”, Bologna, Italy, 1–3 September 2021) [Contribution to conference proceedings]Open Access
Andrea Agiollo; Andrea Omicini, Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices, «APPLIED SCIENCES», 2021, 11, Article number: 11957 , pp. 1 - 13 [Scientific article]Open Access
Andrea Agiollo, Giovanni Ciatto, Andrea Omicini, Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search, in: Explainable and Transparent AI and Multi-Agent Systems. Third International Workshop, EXTRAAMAS 2021, Cham, Springer, 2021, 12688, pp. 63 - 82 (atti di: 3rd International Workshop on Explainable and Transparent AI and Multi-Agent Systems (EXTRAAMAS 2021), Virtual event, 3–4 May 2021) [Contribution to conference proceedings]Open Access
Umberto Michieli, Maria Camporese, Andrea Agiollo, Giampaolo Pagnutti, Pietro Zanuttigh, Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling, in: 13th International Conference on Distributed Smart Cameras (ICDSC2019), ACM, 2019, pp. 9:1 - 9:6 (atti di: 13th International Conference on Distributed Smart Cameras (ICDSC 2019), Trento, Italy, 9–11 September 2019) [Contribution to conference proceedings]
