 | 2008 |
|---|
| 10 |       | Danilo P. Mandic,
Phebe Vayanos,
Mo Chen,
Su Lee Goh:
Online Detection of the Modality of Complex-Valued Real World Signals.
Int. J. Neural Syst. 18(2): 67-74 (2008) |
| 2007 |
|---|
| 9 | | Su Lee Goh,
Danilo P. Mandic:
Stochastic Gradient-Adaptive Complex-Valued Nonlinear Neural Adaptive Filters With a Gradient-Adaptive Step Size.
IEEE Transactions on Neural Networks 18(5): 1511-1516 (2007) |
| 8 | | Su Lee Goh,
Danilo P. Mandic:
An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks.
Neural Computation 19(4): 1039-1055 (2007) |
| 7 | | Su Lee Goh,
Danilo P. Mandic:
An augmented CRTRL for complex-valued recurrent neural networks.
Neural Networks 20(10): 1061-1066 (2007) |
| 6 | | Danilo P. Mandic,
Su Lee Goh,
Kazuyuki Aihara:
Sequential Data Fusion via Vector Spaces: Fusion of Heterogeneous Data in the Complex Domain.
VLSI Signal Processing 48(1-2): 99-108 (2007) |
| 2006 |
|---|
| 5 | | Beth Jelfs,
Phebe Vayanos,
Mo Chen,
Su Lee Goh,
Christos Boukis,
Temujin Gautama,
Tomasz M. Rutkowski,
Tony Kuh,
Danilo P. Mandic:
An Online Method for Detecting Nonlinearity Within a Signal.
KES (3) 2006: 1216-1223 |
| 2005 |
|---|
| 4 | | Su Lee Goh,
Danilo P. Mandic:
Nonlinear adaptive prediction of complex-valued signals by complex-valued PRNN.
IEEE Transactions on Signal Processing 53(5): 1827-1836 (2005) |
| 2004 |
|---|
| 3 | | Su Lee Goh,
Danilo P. Mandic:
A Complex-Valued RTRL Algorithm for Recurrent Neural Networks.
Neural Computation 16(12): 2699-2713 (2004) |
| 2003 |
|---|
| 2 | | Su Lee Goh,
Danilo P. Mandic:
A Data-Reusing Gradient Descent Algorithm for Complex-Valued Recurrent Neural Networks.
KES 2003: 340-350 |
| 1 | | Su Lee Goh,
Danilo P. Mandic:
Recurrent neural networks with trainable amplitude of activation functions.
Neural Networks 16(8): 1095-1100 (2003) |
