Feb 8, 2024 · To overcome such limitations, we propose a cooperative multiagent RL-based framework (MARS) that performs feature selection in both the spatial– ...
Apr 17, 2024 · The proposed approach applies optimum selection of time interval for each subject. The features are extracted from EEG signal using the common ...
May 1, 2024 · To overcome such limitations, we propose a cooperative multiagent RL-based framework (MARS) that performs feature selection in both the spatial- ...
Apr 17, 2024 · Abstract—In recent years, deep learning methods have shown promising capabilities for extracting informative and discrimina- tive features ...
Dive into the research topics of 'MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI'. Together they ...
Feb 8, 2024 · In recent years, deep learning methods have shown promising capabilities for extracting informative and discriminative features from ...
MARS: Multiagent Reinforcement Learning for Spatial–Spectral and Temporal Feature Selection in EEG-Based BCI ... features from electroencephalography (EEG) data.
8 days ago · MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI. IEEE Trans. Syst. Man Cybern ...
Meta-eeg: Meta-learning-based class ... 2022. MARS: Multiagent reinforcement learning for spatial–spectral and temporal feature selection in EEG-based BCI.
MARS: Multiagent Reinforcement Learning for Spatial–Spectral and Temporal Feature Selection in EEG-Based BCI · Graph-based Conditional Generative Adversarial ...