Alberto Archetti

Orcid: 0000-0003-3826-4645

According to our database1, Alberto Archetti authored at least 11 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
FPBoost: Fully Parametric Gradient Boosting for Survival Analysis.
CoRR, 2024

Latent Neural Cellular Automata for Resource-Efficient Image Restoration.
CoRR, 2024

Harnessing the Computing Continuum Across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0.
Proceedings of the 14th International Conference on Cloud Computing and Services Science, 2024

2023
Scaling survival analysis in healthcare with federated survival forests: A comparative study on heart failure and breast cancer genomics.
Future Gener. Comput. Syst., December, 2023

Heterogeneous Datasets for Federated Survival Analysis Simulation.
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Federated Survival Forests.
Proceedings of the International Joint Conference on Neural Networks, 2023

Discriminative Adversarial Privacy: Balancing Accuracy and Membership Privacy in Neural Networks.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Drug Inventory Control: Human Decisions Versus Deep Reinforcement Learning (short paper).
Proceedings of the 3rd Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2023) co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AI*IA 2023), 2023

Deep Survival Analysis for Healthcare: An Empirical Study on Post-Processing Techniques.
Proceedings of the 2nd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2023) co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022
SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning.
Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022

2021
Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021


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