Face recognition: A convolutional neural-network approach S Lawrence, CL Giles, AC Tsoi, AD Back IEEE transactions on neural networks 8 (1), 98-113, 1997 | 4475 | 1997 |
A first application of independent component analysis to extracting structure from stock returns AD Back, AS Weigend International journal of neural systems 8 (04), 473-484, 1997 | 484 | 1997 |
Locally recurrent globally feedforward networks: a critical review of architectures AC Tsoi, AD Back IEEE Transactions on Neural Networks 5 (2), 229-239, 1994 | 422 | 1994 |
FIR and IIR synapses, a new neural network architecture for time series modeling AD Back, AC Tsoi Neural computation 3 (3), 375-385, 1991 | 325 | 1991 |
Neural network classification and prior class probabilities S Lawrence, I Burns, A Back, AC Tsoi, CL Giles Neural networks: tricks of the trade, 299-313, 2002 | 217 | 2002 |
Discrete time recurrent neural network architectures: A unifying review AC Tsoi, A Back Neurocomputing 15 (3-4), 183-223, 1997 | 150 | 1997 |
Function approximation with neural networks and local methods: Bias, variance and smoothness S Lawrence, AC Tsoi, AD Back Australian conference on neural networks 1621, 1996 | 122 | 1996 |
Selecting inputs for modeling using normalized higher order statistics and independent component analysis AD Back, TP Trappenberg IEEE Transactions on Neural Networks 12 (3), 612-617, 2001 | 81 | 2001 |
A unifying view of some training algorithms for multilayer perceptrons with FIR filter synapses A Back, EA Wan, S Lawrence, AC Tsoi Proceedings of IEEE Workshop on Neural Networks for Signal Processing, 146-154, 1994 | 70 | 1994 |
A spiking neural network architecture for nonlinear function approximation N Iannella, AD Back Neural networks 14 (6-7), 933-939, 2001 | 67 | 2001 |
A simplified gradient algorithm for IIR synapse multilayer perceptrons AD Back, AC Tsoi Neural Computation 5 (3), 456-462, 1993 | 64 | 1993 |
Face recognition: A hybrid neural network approach S Lawrence, CL Giles, AC Tsoi, AD Back Digital Repository at the University of Maryland, 1998 | 60 | 1998 |
Input variable selection: mutual information and linear mixing measures T Trappenberg, J Ouyang, A Back IEEE Transactions on Knowledge and Data Engineering 18 (1), 37-46, 2005 | 57 | 2005 |
Input variable selection using independent component analysis AD Back, TP Trappenberg IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999 | 47 | 1999 |
Blind deconvolution of signals using a complex recurrent network AD Back, AC Tsoi Proceedings of IEEE Workshop on Neural Networks for Signal Processing, 565-574, 1994 | 47 | 1994 |
On the distribution of performance from multiple neural-network trials S Lawrence, AD Back, AC Tsoi, CL Giles IEEE Transactions on Neural Networks 8 (6), 1507-1517, 1997 | 45 | 1997 |
Discovering structure in finance using independent component analysis AD Back, AS Weigend Decision Technologies for Computational Finance: Proceedings of the fifth …, 1998 | 43 | 1998 |
A classification scheme for applications with ambiguous data TP Trappenberg, AD Back Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 40 | 2000 |
Universal approximation of multiple nonlinear operators by neural networks AD Back, T Chen Neural Computation 14 (11), 2561-2566, 2002 | 34 | 2002 |
Neural network classification and prior class probabilities S Lawrence, I Burns, A Back, AC Tsoi, CL Giles Neural Networks: Tricks of the Trade: Second Edition, 295-309, 2012 | 32 | 2012 |