A review of learning in biologically plausible spiking neural networks A Taherkhani, A Belatreche, Y Li, G Cosma, LP Maguire, TM McGinnity Neural Networks 122, 253-272, 2020 | 371 | 2020 |
Challenges for large-scale implementations of spiking neural networks on FPGAs LP Maguire, TM McGinnity, B Glackin, A Ghani, A Belatreche, J Harkin Neurocomputing 71 (1-3), 13-29, 2007 | 240 | 2007 |
Forecasting price movements using technical indicators: Investigating the impact of varying input window length Y Shynkevich, TM McGinnity, SA Coleman, A Belatreche, Y Li Neurocomputing 264, 71-88, 2017 | 220 | 2017 |
Evaluating machine learning classification for financial trading: An empirical approach EA Gerlein, M McGinnity, A Belatreche, S Coleman Expert Systems with Applications 54, 193-207, 2016 | 208 | 2016 |
Rectified linear postsynaptic potential function for backpropagation in deep spiking neural networks M Zhang, J Wang, J Wu, A Belatreche, B Amornpaisannon, Z Zhang, ... IEEE transactions on neural networks and learning systems 33 (5), 1947-1958, 2021 | 196 | 2021 |
An experimental evaluation of novelty detection methods X Ding, Y Li, A Belatreche, LP Maguire Neurocomputing 135, 313-327, 2014 | 161 | 2014 |
Adaptive hidden Markov model with anomaly states for price manipulation detection Y Cao, Y Li, S Coleman, A Belatreche, TM McGinnity IEEE transactions on neural networks and learning systems 26 (2), 318-330, 2014 | 125 | 2014 |
Advances in design and application of spiking neural networks A Belatreche, LP Maguire, M McGinnity Soft Computing 11, 239-248, 2007 | 124 | 2007 |
An online supervised learning method for spiking neural networks with adaptive structure J Wang, A Belatreche, L Maguire, TM McGinnity Neurocomputing 144, 526-536, 2014 | 123 | 2014 |
Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning Y Shynkevich, TM McGinnity, SA Coleman, A Belatreche Decision Support Systems 85, 74-83, 2016 | 115 | 2016 |
DL-ReSuMe: A delay learning-based remote supervised method for spiking neurons A Taherkhani, A Belatreche, Y Li, LP Maguire IEEE transactions on neural networks and learning systems 26 (12), 3137-3149, 2015 | 111 | 2015 |
A supervised learning algorithm for learning precise timing of multiple spikes in multilayer spiking neural networks A Taherkhani, A Belatreche, Y Li, LP Maguire IEEE transactions on neural networks and learning systems 29 (11), 5394-5407, 2018 | 103 | 2018 |
A novel approach for the implementation of large scale spiking neural networks on FPGA hardware B Glackin, TM McGinnity, LP Maguire, QX Wu, A Belatreche Computational Intelligence and Bioinspired Systems: 8th International Work …, 2005 | 98 | 2005 |
Edge detection based on spiking neural network model QX Wu, M McGinnity, L Maguire, A Belatreche, B Glackin Advanced Intelligent Computing Theories and Applications. With Aspects of …, 2007 | 79 | 2007 |
A highly effective and robust membrane potential-driven supervised learning method for spiking neurons M Zhang, H Qu, A Belatreche, Y Chen, Z Yi IEEE transactions on neural networks and learning systems 30 (1), 123-137, 2018 | 76 | 2018 |
Learning under weight constraints in networks of temporal encoding spiking neurons QX Wu, TM McGinnity, LP Maguire, B Glackin, A Belatreche Neurocomputing 69 (16-18), 1912-1922, 2006 | 65 | 2006 |
Supervised learning in spiking neural networks with synaptic delay-weight plasticity M Zhang, J Wu, A Belatreche, Z Pan, X Xie, Y Chua, G Li, H Qu, H Li Neurocomputing 409, 103-118, 2020 | 60 | 2020 |
SpikeTemp: An enhanced rank-order-based learning approach for spiking neural networks with adaptive structure J Wang, A Belatreche, LP Maguire, TM McGinnity IEEE transactions on neural networks and learning systems 28 (1), 30-43, 2015 | 59 | 2015 |
Detecting wash trade in financial market using digraphs and dynamic programming Y Cao, Y Li, S Coleman, A Belatreche, TM McGinnity IEEE transactions on neural networks and learning systems 27 (11), 2351-2363, 2015 | 59 | 2015 |
A method for supervised training of spiking neural networks A Belatreche, L Maguire, M McGinnity, Q Wu Cybernetic Intelligence, Challenges and Advances, 11, 2003 | 51 | 2003 |