InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection

1 code implementation • 25 Oct 2022 • Ali Garjani, Atoosa Malemir Chegini, Mohammadreza Salehi, Alireza Tabibzadeh, Parastoo Yousefi, Mohammad Hossein Razizadeh, Moein Esghaei, Maryam Esghaei, Mohammad Hossein Rohban

This helps the model to learn a shared unique representation between normal training samples as much as possible, which improves the discernibility and detectability of mutated samples from the unmutated ones at the test time.

Anomaly Detection