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Discriminative Adversarial Privacy: Balancing Accuracy and Membership Privacy in Neural Networks
In corso di stampa Lomurno, Eugenio; Archetti, Alberto; Ausonio, Francesca; Matteucci, Matteo
Bridging the gap: improve neural survival models with interpolation techniques
2024 Archetti, Alberto; Stranieri, Francesco; Matteucci, Matteo
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
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics
2023 Archetti, Alberto; Ieva, Francesca; Matteucci, Matteo
E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition
2022 Plizzari, Chiara; Planamente, Mirco; Goletto, Gabriele; Cannici, Marco; Gusso, Emanuele; Matteucci, Matteo; Caputo, Barbara
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 |
| Bridging the gap: improve neural survival models with interpolation techniques / Archetti, Alberto; Stranieri, Francesco; Matteucci, Matteo. - In: PROGRESS IN ARTIFICIAL INTELLIGENCE. - ISSN 2192-6352. - (2024). [10.1007/s13748-024-00343-y] | 1-gen-2024 | Archetti, AlbertoStranieri, FrancescoMatteucci, Matteo | _ProgInAI__Improve_Deep_Learning_Survival_Models_with_Interpolation_Techniques.pdf; s13748-024-00343-y.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 |
| Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics / Archetti, Alberto; Ieva, Francesca; Matteucci, Matteo. - In: FUTURE GENERATION COMPUTER SYSTEMS. - ISSN 0167-739X. - ELETTRONICO. - 149:(2023), pp. 343-358. [10.1016/j.future.2023.07.036] | 1-gen-2023 | Alberto ArchettiMatteo Matteucci + | _arXiv__Scaling_Survival_Analysis_in_Healthcare.pdf; 1-s2.0-S0167739X23002935-main.pdf |
| E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition / Plizzari, Chiara; Planamente, Mirco; Goletto, Gabriele; Cannici, Marco; Gusso, Emanuele; Matteucci, Matteo; Caputo, Barbara. - (2022), pp. 19903-19915. (Intervento presentato al convegno IEEE Conference on Computer Vision and Pattern Recognition, CVPR2022 tenutosi a New Orleans, LA (USA) nel 18-24 June 2022) [10.1109/CVPR52688.2022.01931]. | 1-gen-2022 | Plizzari, ChiaraPlanamente, MircoGoletto, GabrieleGusso, EmanueleMatteucci, MatteoCaputo, Barbara + | CVPR22_EVEGO_camera_ready.pdf; E2GOMOTION_Motion_Augmented_Event_Stream_for_Egocentric_Action_Recognition.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 |