EEG Subspace Representations and Feature Selection for Brain-Computer Interfaces

Charles W. Anderson , Michael J. Kirby
2003 Conference on Computer Vision and Pattern Recognition Workshop 5 51 -51

12
2003
Genetic Reinforcement Learning for Neurocontrol Problems

Darrell Whitley , Stephen Dominic , Rajarshi Das , Charles W. Anderson
Machine Learning 13 ( 2-3) 259 -284

297
1993
Using a neural network to predict test case effectiveness

A. von Mayrhauser , C. Anderson , R. Mraz
1995 IEEE Aerospace Applications Conference. Proceedings 2 77 -91

16
1995
Knowledge representations for learning control

M.M. Kokar , C. Anderson , T. Dean , K. Valavanis
international symposium on intelligent control 389 -399

2
1990
Modeling reward functions for incomplete state representations via echo state networks

K. Bush , C. Anderson
international joint conference on neural network 5 2995 -3000

55
2005
On the efficiency of a compound Poisson stopping rule for mixed strategy testing

M. Sahinoglu , A. von Mayrhauser , A. Hajjar , T. Chen
ieee aerospace conference 5 93 -98

15
1999
Estimating ignition timing from engine cylinder pressure with neural networks

B. Willson , J. Whitham , C. Anderson
intelligent vehicles symposium 108 -113

5
1992
Assessing neural networks as guides for testing activities

C. Anderson , A. von Mayrhauser , Tom Chen
Proceedings of the 3rd International Software Metrics Symposium 155 -165

8
1996
Fast Anti-Random (FAR) Test Generation to Improve the Quality of Behavioral Model Verification

Tom Chen , Andre Bai , Amjad Hajjar , Anneliese K. Amschler Andrews
Journal of Electronic Testing 18 ( 6) 583 -594

6
2002
NADALINE connectionist learning vs. linear regression at a lamp manufacturing plant

J. Franklin , C. Anderson , J. Doleac , J. Getchius
international conference on control applications 552 -558

9
1992
Nonlinear dimensionality reduction of electroencephalogram (EEG) for Brain Computer interfaces

M.N. Teli , C. Anderson
international conference of the ieee engineering in medicine and biology society 2009 2486 -2489

2
2009
On choosing test criteria for behavioral level hardware design verification

A. von Mayhauser , T. Chen , J. Kok , C. Anderson
high level design validation and test 124 -130

16
2000
Achieving the quality of verification for behavioral models with minimum effort

T. Chen , A. Von Mayrhauser , M. Sahinoglu , A. Hajjar
international symposium on quality electronic design 234 -239

10
2000
A Speech Processing System Using ADPCM And Xilinx

C. Anderson , D. McNeill , C. Love , K. Ferens
international conference of the ieee engineering in medicine and biology society 2342 -2343

1990
Machine-learned contours to assist boundary tracing tasks

S. Crawford-Hines , C. Anderson
southwest symposium on image analysis and interpretation 229 -231

1
1998
On the use of neural networks to guide software testing activities

C. Anderson , A. Von Mayrhauser , R. Mraz
Proceedings of 1995 IEEE International Test Conference (ITC) 720 -729

34
1995
Genetic reinforcement learning for neural networks

S. Dominic , R. Das , D. Whitley , C. Anderson
IJCNN-91-Seattle International Joint Conference on Neural Networks 71 -76

59
1991
Comparison of EEG blind source separation techniques to improve the classification of P300 trials

Z. Cashero , C. Anderson
international conference of the ieee engineering in medicine and biology society 2011 7183 -7186

6
2011
How much testing is enough? Applying stopping rules to behavioral model testing

T. Chen , M. Sahinoglu , A. von Mayrhauser , A. Hajjar
high-assurance systems engineering 249 -256

15
1999
Fast antirandom (FAR) test generation

A. von Mayrhause , T. Chen , A. Hajjar , A. Bai
high assurance systems engineering 262 -269

20
1998