2006 |
10 | EE | Thomas P. Trappenberg,
Jie Ouyang,
Andrew D. Back:
Input Variable Selection: Mutual Information and Linear Mixing Measures.
IEEE Trans. Knowl. Data Eng. 18(1): 37-46 (2006) |
2002 |
9 | EE | Andrew D. Back,
Tianping Chen:
Universal Approximation of Multiple Nonlinear Operators by Neural Networks.
Neural Computation 14(11): 2561-2566 (2002) |
2001 |
8 | EE | Nicolangelo Iannella,
Andrew D. Back:
A spiking neural network architecture for nonlinear function approximation.
Neural Networks 14(6-7): 933-939 (2001) |
2000 |
7 | EE | Thomas P. Trappenberg,
Andrew D. Back:
A Classification Scheme for Applications with Ambiguous Data.
IJCNN (6) 2000: 296-301 |
1998 |
6 | | Andrew D. Back,
Ah Chung Tsoi:
A Low Sensitivity Recurrent Neural Network.
Neural Computation 10(1): 165-188 (1998) |
1997 |
5 | EE | Andrew D. Back,
Andreas S. Weigend:
A First Application of Independent Component Analysis to Extracting Structure from Stock Returns.
Int. J. Neural Syst. 8(4): 473-484 (1997) |
4 | EE | Ah Chung Tsoi,
Andrew D. Back:
Discrete time recurrent neural network architectures: A unifying review.
Neurocomputing 15(3-4): 183-223 (1997) |
1996 |
3 | EE | Steve Lawrence,
Ian Burns,
Andrew D. Back,
Ah Chung Tsoi,
C. Lee Giles:
Neural Network Classification and Prior Class Probabilities.
Neural Networks: Tricks of the Trade 1996: 299-313 |
1995 |
2 | EE | Steve Lawrence,
Ah Chung Tsoi,
Andrew D. Back:
The Gamma MLP for Speech Phoneme Recognition.
NIPS 1995: 785-791 |
1994 |
1 | EE | Andrew D. Back,
Ah Chung Tsoi:
A Comparison of Discrete-Time Operator Models and for Nonlinear System Identification.
NIPS 1994: 883-890 |