Feature Selection for Brain-Computer Interfaces

Author:

Koprinska Irena

Publisher

Springer Berlin Heidelberg

Reference24 articles.

1. Dornhege, G., Millán, J.d.R., Hinterberger, T., McFarland, D.J., Müller, K.-R.: Toward Brain-Computer Interfacing. MIT Press, Cambridge (2007)

2. Wolpaw, J.R., Birbaumer, N., McFarland, D.J., Pfurtscheller, G., Vaughan, T.M.: Brain-computer Interfaces for Communication and Control. Clinical Neurophysiology 113, 767–791 (2002)

3. Lotte, F., Congedo, M., Lecuyer, A., Lamarche, F., Arnalsi, B.: A Review of Classification Algorithms for EEG-Based Brain-Computer Interfaces. Journal of Neural Engineering, R1–R13 (2007)

4. Lee, F., Scherer, R., Leeb, R., Neuper, C., Bischof, H., Pfurtscheller, G.: A Comparative Analysis of Multi-class EEG Classification for Brain-computer Interface. In: 10th Computer Vision Winter Workshop (CVWW). Technical University of Graz, Austria (2005)

5. Hall, M.: Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning. In: 17th Int. Conf. on Machine Learning (ICML), pp. 359–366. Morgan Kaufmann, San Francisco (2000)

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