fMRI analysis via one-class machine learning techniques

David R. Hardoon, Larry M. Manevitz

Research output: Contribution to journalConference articlepeer-review

Abstract

We show how one-class compression Neural Networks and one-class SVM can be applied to fMRI data to learn the classification of brain activity associated with a specific motor activity. For comparison purposes, we use two labeled data and see what degree of classification ability is lost compared with the usual two-class SVM.

Original languageEnglish
Pages (from-to)1604-1605
Number of pages2
JournalIJCAI International Joint Conference on Artificial Intelligence
StatePublished - 2005
Event19th International Joint Conference on Artificial Intelligence, IJCAI 2005 - Edinburgh, United Kingdom
Duration: 30 Jul 20055 Aug 2005

ASJC Scopus subject areas

  • Artificial Intelligence

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