ML Anthology

fMRI Analysis via One-Class Machine Learning Techniques

David R. Hardoon, Larry M. Manevitz
IJCAI 2005 pp. 1604-1605
/ijcai/2005/hardoon2005ijcai-fmri/

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. 1

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Text

Hardoon and Manevitz. "fMRI Analysis via One-Class Machine Learning Techniques." International Joint Conference on Artificial Intelligence, 2005.

Markdown

[Hardoon and Manevitz. "fMRI Analysis via One-Class Machine Learning Techniques." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/hardoon2005ijcai-fmri/)

BibTeX

@inproceedings{hardoon2005ijcai-fmri,
  title     = {{fMRI Analysis via One-Class Machine Learning Techniques}},
  author    = {Hardoon, David R. and Manevitz, Larry M.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {1604-1605},
  url       = {https://mlanthology.org/ijcai/2005/hardoon2005ijcai-fmri/}
}