Jyoti Singh Kirar

A combination of spectral graph theory and quantum genetic algorithm to find relevant set of electrodes for motor imagery classification

Jyoti Singh Kirar, R. K. Agrawal, R. Agrawal, 2020, Appl. Soft Comput..

Relevant Frequency Band Selection using Sequential Forward Feature Selection for Motor Imagery Brain Computer Interfaces

R. K. Agrawal, Jyoti Singh Kirar, R. Agrawal, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Relevant Feature Selection from a Combination of Spectral-Temporal and Spatial Features for Classification of Motor Imagery EEG

R. K. Agrawal, Jyoti Singh Kirar, Rahul Agrawal, 2018, Journal of Medical Systems.

Composite kernel support vector machine based performance enhancement of brain computer interface in conjunction with spatial filter

R. K. Agrawal, Jyoti Singh Kirar, Rahul Agrawal, 2017, Biomed. Signal Process. Control..

Optimal Spatio-spectral Variable Size Subbands Filter for Motor Imagery Brain Computer Interface

R. K. Agrawal, Jyoti Singh Kirar, R. Agrawal, 2015, IHCI.

A novel approach for extracting feature from EEG signal for mental task classification

Jyoti Singh Kirar, Akshansh Gupta, J. Kirar, 2015, 2015 International Conference on Computing and Network Communications (CoCoNet).

Selection of Relevant Electrodes Based on Temporal Similarity for Classification of Motor Imagery Tasks

R. K. Agrawal, Ayesha Choudhary, Jyoti Singh Kirar, 2017, PReMI.