Institution:
Deep generative model for synthetic data generation
Deep generative model for synthetic data generation
Research Group:
BSC Group: Life Sciences
Researcher/s:
Davide Cirillo, Alejandro Tejada Lapuerta
Website:
https://github.com/AlejandroTL/Medulloblastoma-VAE
Description:
The technology is a deep generative model for synthetic data generation. The model is a VAE (Variational AutoEncoder) equipped with two algorithms for explainability, XGBoost (Extreme Gradient Boosting) and SHAP (SHapley Additive exPlanations).
Problem:
N/A
Solution:
N/A
Aplication areas:
N/A
Novelty:
N/A
Protection:
MIT License
Target market:
N/A
Keywords:
N/A
Technology Readiness Level (1-9): N/A
Business Readiness Level (1-9): N/A
More information
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