| 2008 |
|---|
| 22 | EE | Ienkaran Arasaratnam,
Simon Haykin:
Nonlinear Bayesian Filters for Training Recurrent Neural Networks.
MICAI 2008: 12-33 |
| 2007 |
|---|
| 21 | EE | Yanbo Xue,
Le Yang,
Simon Haykin:
Decoupled echo state networks with lateral inhibition.
Neural Networks 20(3): 365-376 (2007) |
| 2006 |
|---|
| 20 | | Justinian P. Rosca,
Deniz Erdogmus,
José Carlos Príncipe,
Simon Haykin:
Independent Component Analysis and Blind Signal Separation, 6th International Conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006, Proceedings
Springer 2006 |
| 19 | EE | Kris Huber,
Simon Haykin:
Improved bayesian MIMO channel tracking for wireless communications: incorporating a dynamical model.
IEEE Transactions on Wireless Communications 5(9): 2458-2466 (2006) |
| 2005 |
|---|
| 18 | EE | Zhe Chen,
Suzanna Becker,
Jeff Bondy,
Ian C. Bruce,
Simon Haykin:
A Novel Model-Based Hearing Compensation Design Using a Gradient-Free Optimization Method.
Neural Computation 17(12): 2648-2671 (2005) |
| 17 | EE | Simon Haykin,
Zhe Chen:
The Cocktail Party Problem.
Neural Computation 17(9): 1875-1902 (2005) |
| 2004 |
|---|
| 16 | EE | Simon Haykin:
Signal Processing in a Nonlinear, NonGaussian, and Nonstationary World.
Summer School on Neural Networks 2004: 43-53 |
| 15 | EE | Laurel Trainor,
Ranil Sonnadara,
Karl Wiklund,
Jeff Bondy,
Shilpy Gupta,
Suzanna Becker,
Ian C. Bruce,
Simon Haykin:
Development of a flexible, realistic hearing in noise test environment (R-HINT-E).
Signal Processing 84(2): 299-309 (2004) |
| 14 | EE | Jeff Bondy,
Suzanna Becker,
Ian C. Bruce,
Laurel Trainor,
Simon Haykin:
A novel signal-processing strategy for hearing-aid design: neurocompensation.
Signal Processing 84(7): 1239-1253 (2004) |
| 2003 |
|---|
| 13 | EE | Jeff Bondy,
Ian C. Bruce,
Suzanna Becker,
Simon Haykin:
Predicting Speech Intelligibility from a Population of Neurons.
NIPS 2003 |
| 2002 |
|---|
| 12 | EE | Gustavo López-Risueño,
Jesús Grajal,
Simon Haykin,
Rosa Díaz-Oliver:
Convolutional Neural Networks for Radar Detection.
ICANN 2002: 1150-1155 |
| 11 | EE | Zhe Chen,
Simon Haykin:
On Different Facets of Regularization Theory.
Neural Computation 14(12): 2791-2846 (2002) |
| 1999 |
|---|
| 10 | EE | Davide Mattera,
Francesco Palmieri,
Simon Haykin:
Generalized support vector machines.
ESANN 1999: 213-218 |
| 9 | EE | Davide Mattera,
Francesco Palmieri,
Simon Haykin:
Simple and robust methods for support vector expansions.
IEEE Transactions on Neural Networks 10(5): 1038-1047 (1999) |
| 8 | EE | Junhong Nie,
Simon Haykin:
A dynamic channel assignment policy through Q-learning.
IEEE Transactions on Neural Networks 10(6): 1443-1455 (1999) |
| 1998 |
|---|
| 7 | EE | Nanda Kambhatla,
Simon Haykin,
Robert D. Dony:
Image Compression Using KLT, Wavelets and an Adaptive Mixture of Principal Components Model.
VLSI Signal Processing 18(3): 287-296 (1998) |
| 1996 |
|---|
| 6 | EE | Andrew M. Ukrainec,
Simon Haykin:
A modular neural network for enhancement of cross-polar radar targets.
Neural Networks 9(1): 143-168 (1996) |
| 1995 |
|---|
| 5 | EE | Robert D. Dony,
Simon Haykin:
Optimally adaptive transform coding.
IEEE Transactions on Image Processing 4(10): 1358-1370 (1995) |
| 1994 |
|---|
| 4 | | Robert D. Dony,
Simon Haykin:
Self-Organizing Segmentor and Feature Extractor.
ICIP (3) 1994: 898-902 |
| 1993 |
|---|
| 3 | EE | Edward K. B. Lee,
Simon Haykin:
Parallel Implementation of the Extended Square-Root Covariance Filter for Tracking Applications.
IEEE Trans. Parallel Distrib. Syst. 4(4): 446-457 (1993) |
| 1977 |
|---|
| 2 | EE | Simon Haykin:
Performance analysis of a radar signal processing system with continuous electronic array scanning.
Inf. Sci. 13(3): 201-227 (1977) |
| 1976 |
|---|
| 1 | EE | Simon Haykin,
Chris Hawkes:
Adaptive digital filtering for coherent MTI radar.
Inf. Sci. 11(4): 335-359 (1976) |
