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Testing Extreme Learning Machine in Motor Imagery Brain Computer Interface.

, , and . J. Intell. Fuzzy Syst., 33 (5): 3103-3111 (2017)

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Efficient feature selection and linear discrimination of EEG signals., , , and . Neurocomputing, (2013)Exploring dimensionality reduction of EEG features in motor imagery task classification., , and . Expert Syst. Appl., 41 (11): 5285-5295 (2014)Using Brain Computer Interaction to Evaluate Problem Solving Abilities., , , , and . HCI (15), volume 12776 of Lecture Notes in Computer Science, page 74-83. Springer, (2021)Testing Extreme Learning Machine in Motor Imagery Brain Computer Interface., , and . J. Intell. Fuzzy Syst., 33 (5): 3103-3111 (2017)Efficient Automatic Selection and Combination of EEG Features in Least Squares Classifiers for Motor Imagery Brain-Computer Interfaces., , and . Int. J. Neural Syst., (2013)Testing the Self-Similarity Exponent to Feature Extraction in Motor Imagery Based Brain Computer Interface Systems., , , , , and . Int. J. Bifurc. Chaos, 25 (14): 1540023:1-1540023:9 (2015)Improving the Classifier Performance in Motor Imagery Task Classification: What are the steps in the classification process that we should worry about?, , , and . Int. J. Comput. Intell. Syst., 11 (1): 1278-1293 (2018)On the Better Performance of Pianists with Motor Imagery-Based Brain-Computer Interface Systems., , , , and . Sensors, 20 (16): 4452 (2020)Testing Brain-Computer Interfaces with Airplane Pilots under New Motor Imagery Tasks., , and . Int. J. Comput. Intell. Syst., 12 (2): 937-946 (2019)