Result 1 to 17 of 17 total
Modelling non-stationarities in EEG data with robust principal component analysis. (English)
Corchado, Emilio (ed.) et al., Hybrid artificial intelligent systems. 6th international conference, HAIS 2011, Wroclaw, Poland, May 23‒25, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-21221-5/pbk). Lecture Notes in Computer Science 6679. Lecture Notes in Artificial Intelligence, 51-58 (2011).
1
Improving classification performance of bcis by using stationary common spatial patterns and unsupervised bias adaptation. (English)
Corchado, Emilio (ed.) et al., Hybrid artificial intelligent systems. 6th international conference, HAIS 2011, Wroclaw, Poland, May 23‒25, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-21221-5/pbk). Lecture Notes in Computer Science 6679. Lecture Notes in Artificial Intelligence, 34-41 (2011).
2
BioSig: the free and open source software library for biomedical signal processing. (English)
Comput. Intell. Neurosci. 2011, Article ID 935364, 12 p. (2011).
3
Machine-learning-based coadaptive calibration for brain-computer interfaces. (English)
Neural Comput. 23, No. 3, 791-816 (2011).
4
Biosig: the free and open source software library for biomedical signal processing (English)
Comp. Int. and Neurosc. 2011 (2011).
5
A comparison of univariate, vector, bilinear autoregressive, and band power features for brain-computer interfaces (English)
Med. Biol. Engineering and Computing 49, No. 11, 1337-1346 (2011).
6
Stationary common spatial patterns: towards robust classification of non-stationary EEG signals (English)
ICASSP, 577-580 (2011).
7
Improving classification performance of bcis by using stationary common spatial patterns and unsupervised bias adaptation (English)
HAIS (2), 34-41 (2011).
8
Modelling non-stationarities in EEG data with robust principal component analysis (English)
HAIS (2), 51-58 (2011).
9
Machine-learning based co-adaptive calibration: A perspective to fight BCI illiteracy. (English)
Graña Romay, Manuel (ed.) et al., Hybrid artificial intelligence systems. 5th international conference, HAIS 2010, San Sebastián, Spain, June 23‒25, 2010. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-13768-6/pbk). Lecture Notes in Computer Science 6076. Lecture Notes in Artificial Intelligence, 413-420 (2010).
10
Machine-learning based co-adaptive calibration: A perspective to fight BCI illiteracy (English)
HAIS (1), 413-420 (2010).
11
A maxmin approach to optimize spatial filters for EEG single-trial classification. (English)
Cabestany, Joan (ed.) et al., Bio-inspired systems: Computational and ambient intelligence. 10th international work-conference on artificial neural networks, IWANN 2009, Salamanca, Spain, June 10‒12, 2009. Proceedings. Part I. Berlin: Springer (ISBN 978-3-642-02477-1/pbk). Lecture Notes in Computer Science 5517, 674-682 (2009).
12
A maxmin approach to optimize spatial filters for EEG single-trial classification (English)
IWANN (1), 674-682 (2009).
13
An online virtual laboratory of electricity (English)
IJDET 6, No. 2, 21-34 (2008).
14
BIOSIG - standardization and quality control in biomedical signal processing using the biosig project (English)
BIOSIGNALS (2), 403-409 (2008).
15
Playing pinball with non-invasive BCI (English)
NIPS, 1641-1648 (2008).
16
Study of discriminant analysis applied to motor imagery bipolar data (English)
Med. Biol. Engineering and Computing 45, No. 1, 61-68 (2007).
17
Result 1 to 17 of 17 total
Start
Contact
Print
General Help
