Application of genetic algorithms and Gaussian Naïve Bayesian approach in pipeline for cognitive state classification

Shantipriya Parida, Satchidananda Dehuri, Sung Bae Cho

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

In this paper an application of genetic algorithms (GAs) and Gaussian Naïve Bayesian (GNB) approach is studied to explore the brain activities by decoding specific cognitive states from functional magnetic resonance imaging (fMRI) data. However, in case of fMRI data analysis the large number of attributes may leads to a serious problem of classifying cognitive states. It significantly increases the computational cost and memory usage of a classifier. Hence to address this problem, we use GAs for selecting optimal set of attributes and then GNB classifier in a pipeline to classify different cognitive states. The experimental outcomes prove its worthiness in successfully classifying different cognitive states. The detailed comparison study with popular machine learning classifiers illustrates the importance of such GA-Bayesian approach applied in pipeline for fMRI data analysis.

Original languageEnglish
Pages1237-1242
Number of pages6
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 4th IEEE International Advance Computing Conference, IACC 2014 - Gurgaon, India
Duration: 2014 Feb 212014 Feb 22

Other

Other2014 4th IEEE International Advance Computing Conference, IACC 2014
CountryIndia
CityGurgaon
Period14/2/2114/2/22

Fingerprint

Classifiers
Pipelines
Genetic algorithms
Decoding
Learning systems
Brain
Data storage equipment
Magnetic Resonance Imaging
Costs

All Science Journal Classification (ASJC) codes

  • Software

Cite this

Parida, S., Dehuri, S., & Cho, S. B. (2014). Application of genetic algorithms and Gaussian Naïve Bayesian approach in pipeline for cognitive state classification. 1237-1242. Paper presented at 2014 4th IEEE International Advance Computing Conference, IACC 2014, Gurgaon, India. https://doi.org/10.1109/IAdCC.2014.6779504
Parida, Shantipriya ; Dehuri, Satchidananda ; Cho, Sung Bae. / Application of genetic algorithms and Gaussian Naïve Bayesian approach in pipeline for cognitive state classification. Paper presented at 2014 4th IEEE International Advance Computing Conference, IACC 2014, Gurgaon, India.6 p.
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Parida, S, Dehuri, S & Cho, SB 2014, 'Application of genetic algorithms and Gaussian Naïve Bayesian approach in pipeline for cognitive state classification', Paper presented at 2014 4th IEEE International Advance Computing Conference, IACC 2014, Gurgaon, India, 14/2/21 - 14/2/22 pp. 1237-1242. https://doi.org/10.1109/IAdCC.2014.6779504

Application of genetic algorithms and Gaussian Naïve Bayesian approach in pipeline for cognitive state classification. / Parida, Shantipriya; Dehuri, Satchidananda; Cho, Sung Bae.

2014. 1237-1242 Paper presented at 2014 4th IEEE International Advance Computing Conference, IACC 2014, Gurgaon, India.

Research output: Contribution to conferencePaper

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Parida S, Dehuri S, Cho SB. Application of genetic algorithms and Gaussian Naïve Bayesian approach in pipeline for cognitive state classification. 2014. Paper presented at 2014 4th IEEE International Advance Computing Conference, IACC 2014, Gurgaon, India. https://doi.org/10.1109/IAdCC.2014.6779504