A fuzzy integral method based on the ensemble of neural networks to analyze fMRI data for cognitive state classification across multiple subjects

• Main Authors: Cacha, L. A., Parida, S., Dehuri, S., Cho, S. B., Poznanski, R. R.
• Format: Article
• Published: World Scientific Publishing Co. Pte Ltd 2016
• Subjects: QD Chemistry
• Online Access: http://eprints.utm.my/id/eprint/71884/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009989734&doi=10.1142%2fS0219635216500345&partnerID=40&md5=66ed356d8efe6b2b3714ebc77148b11e

The huge number of voxels in fMRI over time poses a major challenge to for effective analysis. Fast, accurate, and reliable classifiers are required for estimating the decoding accuracy of brain activities. Although machine-learning classifiers seem promising, individual classifiers have their own l...