Deep generative model for synthetic data generation

Institution:

Research Group:

BSC Group: Life Sciences

Researcher/s:

Davide Cirillo, Alejandro Tejada Lapuerta

Deep generative model for synthetic data generation

The technology
Media

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:

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Solution:

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Aplication areas:

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Novelty:

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Protection:

MIT License

Target market:

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Keywords:

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TRL: N/A

CRL: N/A

BRL: N/A

IPRL: N/A

TmRL: N/A

FRL: N/A

More information

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