Su Lee Goh

Publication Activity (10 Years)

Years Active: 2002-2008
Publications (10 Years): 0

Publications

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) (2008)
Danilo P. Mandic, Phebe Vayanos, Christos Boukis, Beth Jelfs, Su Lee Goh, Temujin Gautama, Tomasz M. Rutkowski
Collaborative Adaptive Learning using Hybrid Filters. ICASSP (3) (2007)
Danilo P. Mandic, Su Lee Goh, Kazuyuki Aihara
Sequential Data Fusion via Vector Spaces: Fusion of Heterogeneous Data in the Complex Domain. J. VLSI Signal Process. 48 (1-2) (2007)
Su Lee Goh, Danilo P. Mandic
Stochastic Gradient-Adaptive Complex-Valued Nonlinear Neural Adaptive Filters With a Gradient-Adaptive Step Size. IEEE Trans. Neural Networks 18 (5) (2007)
Su Lee Goh, Danilo P. Mandic
An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks. Neural Comput. 19 (4) (2007)
Su Lee Goh, Danilo P. Mandic
An augmented CRTRL for complex-valued recurrent neural networks. Neural Networks 20 (10) (2007)
Su Lee Goh, Danilo P. Mandic
An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks. ICASSP (5) (2006)
Mo Chen, David Sommer, Su Lee Goh, Temujin Gautama, Dragan Obradovic, Martin Golz, Mary J. Morrell, Hui Wang, Danilo P. Mandic
A Novel Tool for Sequential Fusion of Nonlinear Features: A Sleep Psychology Application. MFI (2006)
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)
Su Lee Goh, Danilo P. Mandic
Nonlinear adaptive prediction of complex-valued signals by complex-valued PRNN. IEEE Trans. Signal Process. 53 (5) (2005)
Su Lee Goh, Danilo P. Mandic
A class of gradient-adaptive step size algorithms for complex-valued nonlinear neural adaptive filters. ICASSP (5) (2005)
Su Lee Goh, Danilo P. Mandic
A Complex-Valued RTRL Algorithm for Recurrent Neural Networks. Neural Comput. 16 (12) (2004)
Su Lee Goh, Danilo P. Mandic
Recurrent neural networks with trainable amplitude of activation functions. Neural Networks 16 (8) (2003)
Su Lee Goh, Danilo P. Mandic
A Data-Reusing Gradient Descent Algorithm for Complex-Valued Recurrent Neural Networks. KES (2003)
Su Lee Goh, Danilo P. Mandic
Nonlinear adaptive prediction using a complex-valued PRNN. NNSP (2003)
Woon Chong Siaw, Su Lee Goh, Andrew I. Hanna, Christos Boukis, Danilo P. Mandic
Fully adaptive neural nonlinear FIR filters. NNSP (2002)