Electroencephalography (EEG) eye state classification becomes an essential tool to identify the cognitive of humans. It can be used in several fields such as motor imagery recognition, drug effect detection, emotion categorization, seizure etc. With latest advances deep learning (DL) models, it is possible design accurate and prompt EEG EyeState problem. In this view, study presents a novel com...

Single-task models (STMs) struggle to learn sophisticated representations from a finite set of annotated data. Multitask learning approaches overcome these constraints by simultaneously training various associated tasks, thereby generic among tasks sharing some layers the neural network architecture. Because this, multitask (MTMs) have better generalization properties than those single-task lea...