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SleepExpertNet: high-performance and class-balanced deep learning approach inspired from the expert neurologists for sleep stage classification.

, , , , , and . J. Ambient Intell. Humaniz. Comput., 14 (6): 8067-8083 (2023)

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Effects of altered functional connectivity on motor imagery brain-computer interfaces based on the laterality of paralysis in hemiplegia patients., , , and . Comput. Biol. Medicine, (November 2023)Importance of Reliable EEG Data in Motor Imagery Classification: Attention Level-based Approach., , , , and . BCI, page 1-4. IEEE, (2020)Lateralization of alpha oscillation under preparation Lead to Efficiency of Motor Imagery: Related with Performance of Classification., , , and . SMC, page 2502-2505. IEEE, (2020)Complex Motor Imagery-based Brain-Computer Interface System: A Comparison Between Different Classifiers., , , , and . SMC, page 2496-2501. IEEE, (2020)Enhancing Everyday Seizure Detection: A Channel Reduction Approach., , , , , and . BCI, page 1-4. IEEE, (2024)Morphological Feature Extraction From a Continuous Intracranial Pressure Pulse via a Peak Clustering Algorithm., , , , and . IEEE Trans. Biomed. Eng., 63 (10): 2169-2176 (2016)SleepExpertNet: high-performance and class-balanced deep learning approach inspired from the expert neurologists for sleep stage classification., , , , , and . J. Ambient Intell. Humaniz. Comput., 14 (6): 8067-8083 (2023)Prediction of Serious Intracranial Hypertension from Low-Resolution Neuromonitoring in Traumatic Brain Injury: An Explainable Machine Learning Approach., , , , , , , , , and . IEEE J. Biomed. Health Informatics, 27 (4): 1903-1913 (April 2023)Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification., , , , , and . BCI, page 1-4. IEEE, (2019)Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface., , , , , and . BCI, page 1-4. IEEE, (2021)