The Infosys Model Inference Library (IMIL) is a versatile and powerful tool designed to simplify the deployment and utilization of machine learning models, regardless of the framework or model type.

Abstract: Objective. In this study, we propose a tactile-assisted calibration method for a motor imagery (MI) based Brain-Computer Interface (BCI) system. Method. In the proposed calibration, tactile ...

Abstract: It is not uncommon that real-world data are distributed with a long tail. For such data, the learning of deep neural networks becomes challenging because it is hard to classify tail classes ...