fMRI Analysis via One-class Machine Learning Techniques

Hardoon, David R.; Manevitz, Larry M.

fMRI Analysis via One-class Machine Learning Techniques

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Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1604-1604.

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.

David R. Hardoon, and Larry M. Manevitz. 2005. fMRI Analysis via One-class Machine Learning Techniques. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 1604–1604. https://ijcai.org/proceedings/2005/266

@inproceedings{ijcai2005p266,
  title     = {fMRI Analysis via One-class Machine Learning Techniques},
  author    = {Hardoon, David R. and Manevitz, Larry M.},
  booktitle = {Proceedings of the Nineteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-05}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  pages     = {1604--1604},
  year      = {2005},
  url       = {https://ijcai.org/proceedings/2005/266},
}

TY  - CPAPER
TI  - fMRI Analysis via One-class Machine Learning Techniques
AU  - Hardoon, David R.
AU  - Manevitz, Larry M.
T2  - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2005
SP  - 1604
EP  - 1604
UR  - https://ijcai.org/proceedings/2005/266
ER  -