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An Exploration of the Principle of Emerging Interactions in Spatiotemporal Diversity.

, , , , and . IUI Workshops, volume 2068 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)

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Boosting specificity of MEG artifact removal by weighted support vector machine., , , , , , and . EMBC, page 6039-6042. IEEE, (2013)A Comparison of Actual and Artifactual Features Based on Fractal Analyses: Resting-State MEG Data., , , , , , and . BIC-TA, volume 212 of Advances in Intelligent Systems and Computing, page 1257-1265. Springer, (2013)Smaller insula and inferior frontal volumes in young adults with pervasive developmental disorders., , , , , , , , , and 6 other author(s). NeuroImage, 50 (4): 1357-1363 (2010)Self-supervised machine learning approach for autism detection in young children using MEG signals., , , , , , , and . Biomed. Signal Process. Control., (2024)Dynamic Characteristics of Micro-state Transition Defined by Instantaneous Frequency in the Electroencephalography of Schizophrenia Patients., , , , and . ICONIP (2), volume 13624 of Lecture Notes in Computer Science, page 25-36. Springer, (2022)Autism Detection in Children using Common Spatial Patterns of MEG Signals., , , , , , and . EMBC, page 1-4. IEEE, (2023)Dynamical Characteristics of State Transition Defined by Neural Activity of Phase in Alzheimer's Disease., , , and . ICONIP (6), volume 1517 of Communications in Computer and Information Science, page 46-54. Springer, (2021)An Exploration of the Principle of Emerging Interactions in Spatiotemporal Diversity., , , , and . IUI Workshops, volume 2068 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Wireless EEG patch sensor on forehead using on-demand stretchable electrode sheet and electrode-tissue impedance scanner., , , , , , , , , and 1 other author(s). EMBC, page 6286-6289. IEEE, (2016)Linear and nonlinear features for automatic artifacts removal from MEG data based on ICA., , , , , , and . APSIPA, page 1-9. IEEE, (2012)