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# Multi-Source Adversarial Transfer Learning in Glucose Prediction for Type-2 Diabetic Patients | ||
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This repository contains the source code of the "Multi-Source Adversarial Transfer Learning in Glucose Prediction for Type-2 Diabetic Patients", by M. DE BOIS et al., submitted to the ICASSP 2020 conference. | ||
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In particular, the PyTorch implementation of the DAFCN architecture and the source-model weights can be found in: | ||
* FCDAN: models/DAFCN.py | ||
* weights: models/weights/IDIAB_2_IDIAB/lambda0 for non-adversarial weights and models/weights/IDIAB_2_IDIAB/lambda017 for adversarial weights |