%0 Conference Paper %1 Ramirez:2007:cec %A Ramirez, Rafael %A Puiggros, Montserrat %B 2007 IEEE Congress on Evolutionary Computation %C Singapore %D 2007 %E Srinivasan, Dipti %E Wang, Lipo %I IEEE Press %K algorithms, genetic programming %P 1793--1799 %T An Evolutionary Computation Approach to Cognitive States Classification %X The study of human brain functions has dramatically increased in recent years greatly due to the advent of Functional Magnetic Resonance Imaging. This paper presents a genetic programming approach to the problem of classifying the instantaneous cognitive state of a person based on his/her functional Magnetic Resonance Imaging data. The problem provides a very interesting case study of training classifiers with extremely high dimensional, sparse and noisy data. We apply genetic programming for both feature selection and classifier training. We present a successful case study of induced classifiers which accurately discriminate between cognitive states produced by listening to different auditory stimuli. %@ 1-4244-1340-0

@inproceedings{Ramirez:2007:cec, abstract = {The study of human brain functions has dramatically increased in recent years greatly due to the advent of Functional Magnetic Resonance Imaging. This paper presents a genetic programming approach to the problem of classifying the instantaneous cognitive state of a person based on his/her functional Magnetic Resonance Imaging data. The problem provides a very interesting case study of training classifiers with extremely high dimensional, sparse and noisy data. We apply genetic programming for both feature selection and classifier training. We present a successful case study of induced classifiers which accurately discriminate between cognitive states produced by listening to different auditory stimuli.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Singapore}, author = {Ramirez, Rafael and Puiggros, Montserrat}, biburl = {https://www.bibsonomy.org/bibtex/26431b2726f50f59b48c9723e0cd39832/brazovayeye}, booktitle = {2007 IEEE Congress on Evolutionary Computation}, editor = {Srinivasan, Dipti and Wang, Lipo}, file = {1588.pdf}, interhash = {eeba031805939c3e39c75335b44fe1fb}, intrahash = {6431b2726f50f59b48c9723e0cd39832}, isbn = {1-4244-1340-0}, keywords = {algorithms, genetic programming}, month = {25-28 September}, notes = {CEC 2007 - A joint meeting of the IEEE, the EPS, and the IET. IEEE Catalog Number: 07TH8963C}, organization = {IEEE Computational Intelligence Society}, pages = {1793--1799}, publisher = {IEEE Press}, timestamp = {2008-06-19T17:50:06.000+0200}, title = {An Evolutionary Computation Approach to Cognitive States Classification}, year = 2007 }