Archivio Istituzionale della RicercaARCHETTI, ALBERTO
ARCHETTI, ALBERTO
Dipartimento di Automatica e Informatica
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Risultati 1 - 7 di 7 (tempo di esecuzione: 0.015 secondi).
Discriminative Adversarial Privacy: Balancing Accuracy and Membership Privacy in Neural Networks
In corso di stampa Lomurno, Eugenio; Archetti, Alberto; Ausonio, Francesca; Matteucci, Matteo
Drug Inventory Control: Human Decisions Versus Deep Reinforcement Learning
2024 Stranieri, Francesco; Archetti, Alberto; Robbiano, Enrico; Kouki, Chaaben; Stella, Fabio
Deep Survival Analysis for Healthcare: An Empirical Study on Post-Processing Techniques
2023 Archetti, Alberto; Stranieri, Francesco; Matteucci, Matteo
Federated Survival Forests
2023 Archetti, Alberto; Matteucci, Matteo
Heterogeneous Datasets for Federated Survival Analysis Simulation
2023 Archetti, Alberto; Lomurno, Eugenio; Lattari, Francesco; Martin, Andre; Matteucci, Matteo
Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A*
2022 Archetti, Alberto; Cannici, Marco; Matteucci, Matteo
SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning
2022 Lomurno, Eugenio; Archetti, Alberto; Cazzella, Lorenzo; Samele, Stefano; Di Perna, Leonardo; Matteucci, Matteo
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Discriminative Adversarial Privacy: Balancing Accuracy and Membership Privacy in Neural Networks / Lomurno, Eugenio; Archetti, Alberto; Ausonio, Francesca; Matteucci, Matteo. - (In corso di stampa). (Intervento presentato al convegno British Machine Vision Conference (BMVC) tenutosi a Aberdeen (UK) nel 20th - 24th November 2023). | In corso di stampa | Alberto ArchettiMatteo Matteucci + | dap.pdf |
| Drug Inventory Control: Human Decisions Versus Deep Reinforcement Learning / Stranieri, Francesco; Archetti, Alberto; Robbiano, Enrico; Kouki, Chaaben; Stella, Fabio. - ELETTRONICO. - 3650:(2024). (Intervento presentato al convegno 3rd Italian Workshop on Artificial Intelligence and Applications for Business and Industries 2023 (AIABI 2023) tenutosi a Rome (Italy) nel November 9, 2023). | 1-gen-2024 | Stranieri, FrancescoArchetti, Alberto + | paper3.pdf |
| Deep Survival Analysis for Healthcare: An Empirical Study on Post-Processing Techniques / Archetti, Alberto; Stranieri, Francesco; Matteucci, Matteo. - ELETTRONICO. - 3578:(2023), pp. 99-121. (Intervento presentato al convegno 2nd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2023) tenutosi a Rome (Italy) nel November 6, 2023). | 1-gen-2023 | Archetti, AlbertoStranieri, FrancescoMatteucci, Matteo | paper9.pdf |
| Federated Survival Forests / Archetti, Alberto; Matteucci, Matteo. - ELETTRONICO. - 0:(2023), pp. 1-9. (Intervento presentato al convegno 2023 International Joint Conference on Neural Networks tenutosi a Gold Coast (AU) nel 18-23 June 2023) [10.1109/IJCNN54540.2023.10190999]. | 1-gen-2023 | Archetti, AlbertoMatteucci, Matteo | _IJCNN2023__Federated_Survival_Forests (2).pdf; Federated_Survival_Forests.pdf |
| Heterogeneous Datasets for Federated Survival Analysis Simulation / Archetti, Alberto; Lomurno, Eugenio; Lattari, Francesco; Martin, Andre; Matteucci, Matteo. - ELETTRONICO. - (2023), pp. 173-180. (Intervento presentato al convegno 14th Annual ACM/SPEC International Conference on Performance Engineering, ICPE 2023 tenutosi a Coimbra (PRT) nel 2023) [10.1145/3578245.3584935]. | 1-gen-2023 | Archetti AlbertoMatteucci Matteo + | _arXiv__Heterogheneous_Datasets_for_Federated_Survival_Analysis_Simulation.pdf; 3578245.3584935.pdf |
| Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A* / Archetti, Alberto; Cannici, Marco; Matteucci, Matteo. - ELETTRONICO. - 13163:(2022), pp. 596-610. (Intervento presentato al convegno LOD 2021, 7th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science tenutosi a Grasmere, Lake District, England, UK nel October 4-8, 2021) [10.1007/978-3-030-95467-3_43]. | 1-gen-2022 | Alberto ArchettiMatteo Matteucci + | nwastar_preprint.pdf; 978-3-030-95467-3_43.pdf |
| SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning / Lomurno, Eugenio; Archetti, Alberto; Cazzella, Lorenzo; Samele, Stefano; Di Perna, Leonardo; Matteucci, Matteo. - ELETTRONICO. - 0:(2022), pp. 205-214. (Intervento presentato al convegno AIPR 2022, 5th International Conference on Artificial Intelligence and Pattern Recognition tenutosi a Xiamen (CHN) nel September 23-25, 2022) [10.1145/3573942.3573974]. | 1-gen-2022 | Archetti, AlbertoMatteucci, Matteo + | SGDE_preprint.pdf; 3573942.3573974.pdf |