Alberto Archetti

Orcid: 0000-0003-3826-4645

According to our database1, Alberto Archetti authored at least 10 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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.
CoRR, 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


  Loading...