Litcius/Paper detail

META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain–computer interfaces

Ji-Wung Han, Soyeon Bak, Jun-Mo Kim, WooHyeok Choi, Dong-Hee Shin, Young-Han Son, Tae‐Eui Kam

2023Expert Systems with Applications28 citationsDOI

Topics & Concepts

Computer scienceElectroencephalographyRobustness (evolution)Brain–computer interfaceArtificial intelligenceUsabilityTransfer of learningMachine learningFeature (linguistics)Representation (politics)GeneralizationFeature learningCalibrationPattern recognition (psychology)Human–computer interactionPsychologyMathematicsLinguisticsStatisticsPoliticsLawChemistryPsychiatryPolitical scienceMathematical analysisBiochemistryGenePhilosophyEEG and Brain-Computer InterfacesAdvanced Memory and Neural ComputingNeuroscience and Neural Engineering
META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain–computer interfaces | Litcius