🤖 Ph.D. in AI @ Politecnico di Milano | Federated Survival Analysis
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Politecnico di Milano
- Italy
- [email protected]
- https://scholar.google.com/citations?user=--kj4bcAAAAJ
- in/albertoarchetti
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airlab_server_guidelines Public
AIRLab guidelines for using our servers and writing your thesis.
Creative Commons Attribution Share Alike 4.0 International UpdatedMay 15, 2024 -
This repo contains the source code of the paper "Deep Survival Analysis for Healthcare: An Empirical Study on Post-Processing Techniques".
Python MIT License UpdatedFeb 25, 2024 -
SGDE Public
Repo of the SGDE component from AI-SPRINT.
Python Apache License 2.0 UpdatedFeb 6, 2024 -
scikit-survival Public
Forked from sebp/scikit-survivalSurvival analysis built on top of scikit-learn
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federated_survival_forests Public
Federated Learning with Random Survival Forests.
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federated_survival_datasets Public
Build realistic heterogeneous datasets for federated survival analysis in a reproducible way.
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neural_weighted_a_star Public
Source code for Neural Weighted A* paper's experiments.
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Planar navigation datasets for learning to plan on shortest path examples.
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TrackMe Public
2018/2019 Software Engineering II project by Alberto Archetti and Fabio Carminati