Amir Nassibi

Segmented Error Minimisation (Semi) for Robust Training of Deep Learning Models with Non-Linear Shifts in Reference Data

Time series regression models are typically trained using the mean squared error (MSE) and thus rely critically on time-aligned reference data. However, the MSE loss is often inadequate when processing real-world data, such as physiological signals, as misalignment between two signals can cause a la…