 | 2009 |
| 17 |  | Peter Gruber,
Anke Meyer-Bäse,
Simon Y. Foo,
Fabian J. Theis:
ICA, kernel methods and nonnegativity: New paradigms for dynamical component analysis of fMRI data.
Eng. Appl. of AI 22(4-5): 497-504 (2009) |
| 2008 |
| 16 |  | Thorsten Twellmann,
Anke Meyer-Bäse,
Oliver Lange,
Simon Y. Foo,
Tim W. Nattkemper:
Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning.
Eng. Appl. of AI 21(2): 129-140 (2008) |
| 2007 |
| 15 |  | Jason C. Isaacs,
Simon Y. Foo,
Anke Meyer-Bäse:
Novel Kernels and Kernel PCA for Pattern Recognition.
CIRA 2007: 438-443 |
| 14 |  | Jason C. Isaacs,
Simon Y. Foo,
Anke Meyer-Bäse:
Evolutionary computation-based kernel optimal component analysis for pattern recognition.
GECCO 2007: 2258 |
| 13 |  | Jason C. Isaacs,
Simon Y. Foo,
Anke Meyer-Bäse:
Enhanced prediction of protein cellular localization sites with genetic algorithm optimal kernel projection analysis.
IEEE Congress on Evolutionary Computation 2007: 1429-1435 |
| 12 |  | Jason C. Isaacs,
Simon Y. Foo,
Anke Meyer-Bäse:
A performance analysis of lattice oscilation model kernels and KPCA.
SMC 2007: 1608-1611 |
| 11 |  | Ming Yu,
Aniket Malvankar,
Wei Su,
Simon Y. Foo:
A link availability-based QoS-aware routing protocol for mobile ad hoc sensor networks.
Computer Communications 30(18): 3823-3831 (2007) |
| 10 |  | Mark H. Weatherspoon,
Hector A. Martinez,
Diego Langoni,
Simon Y. Foo:
Small-Signal Modeling of Microwave MESFETs Using RBF-ANNs.
IEEE T. Instrumentation and Measurement 56(5): 2067-2072 (2007) |
| 2006 |
| 9 |  | Anke Meyer-Bäse,
Peter Gruber,
Fabian J. Theis,
Simon Y. Foo:
Blind source separation based on self-organizing neural network.
Eng. Appl. of AI 19(3): 305-311 (2006) |
| 8 |  | Diego Langoni,
Mark H. Weatherspoon,
Simon Y. Foo,
Hector A. Martinez:
A speed and accuracy test of backpropagation and RBF neural networks for small-signal models of active devices.
Eng. Appl. of AI 19(8): 883-890 (2006) |
| 2005 |
| 7 |  | Kaijam M. Woodley,
Hui (Helen) Li,
Simon Y. Foo:
Neural network modeling of torque estimation and d-q transformation for induction machine.
Eng. Appl. of AI 18(1): 57-63 (2005) |
| 2004 |
| 6 |  | Geoffrey Wall,
Faizal Iqbal,
Jason C. Isaacs,
Xiuwen Liu,
Simon Y. Foo:
Real Time Texture Classification using Field Programmable Gate Arrays.
AIPR 2004: 130-135 |
| 2003 |
| 5 |  | Jason C. Isaacs,
R. K. Watkins,
Simon Y. Foo:
Field Programmable Gate Array Implementations of Cellular Automata for Pseudo-Random Number Generation.
PDPTA 2003: 1957-1963 |
| 1996 |
| 4 |  | Simon Y. Foo:
A rule-based machine vision system for fire detection in aircraft dry bays and engine compartments.
Knowl.-Based Syst. 9(8): 531-540 (1996) |
| 1995 |
| 3 |  | Simon Y. Foo,
Yoshiyasu Takefuji,
Harold Szu:
Scaling properties of neural networks for job-shop scheduling.
Neurocomputing 8(1): 79-91 (1995) |
| 2 |  | Harold Szu,
Simon Y. Foo:
Divide and conquer orthogonality principle for parallel optimizations in TSP.
Neurocomputing 8(3): 249-261 (1995) |
| 1990 |
| 1 |  | Simon Y. Foo,
Yoshiyasu Takefuji:
Databases and Cell-Selection Algorithms for VLSI Cell Libraries.
IEEE Computer 23(2): 18-30 (1990) |