| Weight perturbation: An optimal architecture and learning technique for analog VLSI feedforward and recurrent multilayer networks M Jabri, B Flower IEEE Transactions on Neural Networks 3 (1), 154-157, 1992 | 303 | 1992 |
| Multiresolution forecasting for futures trading using wavelet decompositions BL Zhang, R Coggins, MA Jabri, D Dersch, B Flower IEEE Transactions on Neural Networks 12 (4), 765-775, 2001 | 222 | 2001 |
| Apparatus and method for the detection and treatment of arrhythmias using a neural network P Nickolls, G Drane, B Flower, P Lunsmann, R Dodd, D Bassin, ... US Patent 5,251,626, 1993 | 114 | 1993 |
| Adaptive analog VLSI neural systems M Jabri, RJ Coggins, BG Flower Springer Science & Business Media, 1996 | 77 | 1996 |
| Summed weight neuron perturbation: An O (n) improvement over weight perturbation B Flower, M Jabri Advances in neural information processing systems 5, 1992 | 73 | 1992 |
| Weight perturbation: An optimal architecture and learning technique for analog VLSI feedforward and recurrent multilayer networks M Jabri, B Flower Neural Computation 3 (4), 546-565, 1991 | 68 | 1991 |
| A hybrid analog and digital VLSI neural network for intracardiac morphology classification R Coggins, M Jabri, B Flower, S Pickard IEEE Journal of Solid-State Circuits 30 (5), 542-550, 1995 | 56 | 1995 |
| Neural network with training by perturbation MA Jabri, BG Flower US Patent 5,640,494, 1997 | 31 | 1997 |
| ANN based classification for heart defibrillators M Jabri, S Pickard, P Leong, Z Chi, B Flower, Y Xie Advances in neural information processing systems 4, 1991 | 23 | 1991 |
| A low-power network for on-line diagnosis of heart patients R Coggins, M Jabri, B Flower, S Pickard IEEE Micro 15 (3), 18-25, 1995 | 20 | 1995 |
| Simultaneous inference and training using on-fpga weight perturbation techniques S Siddhartha, S Wilton, D Boland, B Flower, P Blackmore, P Leong 2018 International Conference on Field-Programmable Technology (FPT), 306-309, 2018 | 9 | 2018 |
| Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction AC Cullen, BIP Rubinstein, S Kandeepan, B Flower, PHW Leong Artificial Intelligence Review 56 (10), 10921-10959, 2023 | 5 | 2023 |
| Stochastic receding horizon control for short-term risk management in foreign exchange P Leong, F Noorian, B Flower Journal of Risk, 2016 | 5 | 2016 |
| PANNE: a parallel computing engine for connectionist simulation IZ Milosavlevich, BG Flower, MA Jabri Proceedings of Fifth International Conference on Microelectronics for Neural …, 1996 | 5 | 1996 |
| ICEG morphology classification using an analogue VLSI neural network R Coggins, M Jabri, B Flower, S Pickard Advances in Neural Information Processing Systems 7, 1994 | 4 | 1994 |
| Low power intracardiac electrogram classification using analogue VLSI R Coggins, M Jabri, B Flower, S Pickard Proceedings of the Fourth International Conference on Microelectronics for …, 1994 | 3 | 1994 |
| Exchange Rate Trading Using a Fast Retraining Procedure for Generalised Radial Basis Function Networks DR Dersch, BG Flower, SJ Pickard Decision Technologies for Computational Finance: Proceedings of the fifth …, 1998 | 2 | 1998 |
| ANN based classification of arrhythmias M Jabri, S Pickard, P Leong, Z Chi, E Tinker, R Coggins, B Flower Applications of Neural Networks, 93-112, 1995 | 2 | 1995 |
| An analogue neural network using MCM technology M Jabri, P Leong, J Burr, B Flower, KK Lai, S Pickard, E Tinker, R Coggins Proceedings 1993 The First New Zealand International Two-Stream Conference …, 1993 | 2 | 1993 |
| VLSI implementation of neural networks with application to signal processing M Jabri, S Pickard, P Leong, G Rigby, J Jiang, B Flower, P Henderson 1991., IEEE International Sympoisum on Circuits and Systems, 1275-1278, 1991 | 2 | 1991 |
Philip H.W. LeongProfessor of Computer Systems, The University of SydneyVerified email at sydney.edu.au
