Su Lee Goh

16 papers B 1Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2008 J jnl
Online Detection of the Modality of Complex-Valued Real World Signals.
Int. J. Neural Syst.
Danilo P. Mandic, Phebe Vayanos, Mo Chen, Su Lee Goh
2007 J jnl
An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks.
Neural Comput.
Su Lee Goh, Danilo P. Mandic
2007 J jnl
An augmented CRTRL for complex-valued recurrent neural networks.
Neural Networks
Su Lee Goh, Danilo P. Mandic
2007 — conf
Collaborative Adaptive Learning using Hybrid Filters.
ICASSP (3)
Danilo P. Mandic, Phebe Vayanos, Christos Boukis, Beth Jelfs, Su Lee Goh, Temujin Gautama, Tomasz M. Rutkowski
2007 J jnl
Sequential Data Fusion via Vector Spaces: Fusion of Heterogeneous Data in the Complex Domain.
J. VLSI Signal Process.
Danilo P. Mandic, Su Lee Goh, Kazuyuki Aihara
2007 J jnl
Stochastic Gradient-Adaptive Complex-Valued Nonlinear Neural Adaptive Filters With a Gradient-Adaptive Step Size.
IEEE Trans. Neural Networks
Su Lee Goh, Danilo P. Mandic
2006 — conf
A Novel Tool for Sequential Fusion of Nonlinear Features: A Sleep Psychology Application.
MFI
Mo Chen, David Sommer, Su Lee Goh, Temujin Gautama, Dragan Obradovic, Martin Golz, Mary J. Morrell, Hui Wang, Danilo P. Mandic
2006 — conf
An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks.
ICASSP (5)
Su Lee Goh, Danilo P. Mandic
2006 — conf
An Online Method for Detecting Nonlinearity Within a Signal.
KES (3)
Beth Jelfs, Phebe Vayanos, Mo Chen, Su Lee Goh, Christos Boukis, Temujin Gautama, Tomasz M. Rutkowski, Tony Kuh, Danilo P. Mandic
2005 — conf
A class of gradient-adaptive step size algorithms for complex-valued nonlinear neural adaptive filters.
ICASSP (5)
Su Lee Goh, Danilo P. Mandic
2005 J jnl
Nonlinear adaptive prediction of complex-valued signals by complex-valued PRNN.
IEEE Trans. Signal Process.
Su Lee Goh, Danilo P. Mandic
2004 J jnl
A Complex-Valued RTRL Algorithm for Recurrent Neural Networks.
Neural Comput.
Su Lee Goh, Danilo P. Mandic
2003 B conf
A Data-Reusing Gradient Descent Algorithm for Complex-Valued Recurrent Neural Networks.
KES
Su Lee Goh, Danilo P. Mandic
2003 — conf
Nonlinear adaptive prediction using a complex-valued PRNN.
NNSP
Su Lee Goh, Danilo P. Mandic
2003 J jnl
Recurrent neural networks with trainable amplitude of activation functions.
Neural Networks
Su Lee Goh, Danilo P. Mandic
2002 — conf
Fully adaptive neural nonlinear FIR filters.
NNSP
Woon Chong Siaw, Su Lee Goh, Andrew I. Hanna, Christos Boukis, Danilo P. Mandic