The graph neural network model F Scarselli, M Gori, AC Tsoi, M Hagenbuchner, G Monfardini IEEE transactions on neural networks 20 (1), 61-80, 2008 | 9085 | 2008 |

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 | 4526 | 1997 |

Universal approximation using feedforward neural networks: A survey of some existing methods, and some new results F Scarselli, AC Tsoi Neural networks 11 (1), 15-37, 1998 | 793 | 1998 |

Noisy time series prediction using recurrent neural networks and grammatical inference CL Giles, S Lawrence, AC Tsoi Machine learning 44, 161-183, 2001 | 599 | 2001 |

Classification of EEG signals using the wavelet transform N Hazarika, JZ Chen, AC Tsoi, A Sergejew Signal processing 59 (1), 61-72, 1997 | 487 | 1997 |

Lessons in neural network training: Overfitting may be harder than expected S Lawrence, CL Giles, AC Tsoi Aaai/iaai, 540-545, 1997 | 443 | 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 | 426 | 1994 |

What size neural network gives optimal generalization? Convergence properties of backpropagation S Lawrence, CL Giles, AC Tsoi Digital Repository at the University of Maryland, 1998 | 416 | 1998 |

FIR and IIR synapses, a new neural network architecture for time series modeling AD Back, AC Tsoi Neural computation 3 (3), 375-385, 1991 | 324 | 1991 |

Computational capabilities of graph neural networks F Scarselli, M Gori, AC Tsoi, M Hagenbuchner, G Monfardini IEEE Transactions on Neural Networks 20 (1), 81-102, 2008 | 267 | 2008 |

Incremental training of support vector machines A Shilton, M Palaniswami, D Ralph, AC Tsoi IEEE transactions on neural networks 16 (1), 114-131, 2005 | 266 | 2005 |

A self-organizing map for adaptive processing of structured data M Hagenbuchner, A Sperduti, AC Tsoi IEEE transactions on Neural Networks 14 (3), 491-505, 2003 | 245 | 2003 |

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 | 223 | 2002 |

Person identification from the EEG using nonlinear signal classification M Poulos, M Rangoussi, N Alexandris, A Evangelou Methods of information in Medicine 41 (01), 64-75, 2002 | 200 | 2002 |

A Kalman filtering approach to short-time Fourier analysis R Bitmead, AH Tsoi, P Parker IEEE transactions on acoustics, speech, and signal processing 34 (6), 1493-1501, 1986 | 163 | 1986 |

Discrete time recurrent neural network architectures: A unifying review AC Tsoi, A Back Neurocomputing 15 (3-4), 183-223, 1997 | 154 | 1997 |

Graph neural networks for ranking web pages F Scarselli, SL Yong, M Gori, M Hagenbuchner, AC Tsoi, M Maggini The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05 …, 2005 | 149 | 2005 |

Rule inference for financial prediction using recurrent neural networks CL Giles, S Lawrence, AC Tsoi Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial …, 1997 | 143 | 1997 |

Architectural style classification using multinomial latent logistic regression Z Xu, D Tao, Y Zhang, J Wu, AC Tsoi Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 126 | 2014 |

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 |