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 | 324 | 2020 |
Predicting a chaotic time series using a fuzzy neural network LP Maguire, B Roche, TM McGinnity, LJ McDaid Information Sciences 112 (1-4), 125-136, 1998 | 273 | 1998 |
Fault diagnosis of electronic systems using intelligent techniques: A review WG Fenton, TM McGinnity, LP Maguire IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2001 | 260 | 2001 |
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 |
Employing dynamic fuzzy membership functions to assess environmental performance in the supplier selection process P Humphreys, A McCloskey, R McIvor, L Maguire, C Glackin International Journal of Production Research 44 (12), 2379-2419, 2006 | 173 | 2006 |
Selecting critical patterns based on local geometrical and statistical information Y Li, L Maguire IEEE transactions on pattern analysis and machine intelligence 33 (6), 1189-1201, 2010 | 160 | 2010 |
An experimental evaluation of novelty detection methods X Ding, Y Li, A Belatreche, LP Maguire Neurocomputing 135, 313-327, 2014 | 158 | 2014 |
Statistical and computational intelligence techniques for inferential model development: a comparative evaluation and a novel proposition for fusion K Warne, G Prasad, S Rezvani, L Maguire Engineering applications of artificial intelligence 17 (8), 871-885, 2004 | 153 | 2004 |
A thalamo–cortico–thalamic neural mass model to study alpha rhythms in Alzheimer’s disease BS Bhattacharya, D Coyle, LP Maguire Neural networks 24 (6), 631-645, 2011 | 129 | 2011 |
Advances in design and application of spiking neural networks A Belatreche, LP Maguire, M McGinnity Soft Computing 11, 239-248, 2007 | 121 | 2007 |
Minimizing the bullwhip effect in a supply chain using genetic algorithms T O’donnell, L Maguire, R McIvor, P Humphreys International Journal of Production Research 44 (8), 1523-1543, 2006 | 121 | 2006 |
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 | 118 | 2014 |
A review of rapid serial visual presentation-based brain–computer interfaces S Lees, N Dayan, H Cecotti, P McCullagh, L Maguire, F Lotte, D Coyle Journal of neural engineering 15 (2), 021001, 2018 | 115 | 2018 |
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 | 103 | 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 | 95 | 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 | 95 | 2005 |
A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual M Bucholc, X Ding, H Wang, DH Glass, H Wang, G Prasad, LP Maguire, ... Expert systems with applications 130, 157-171, 2019 | 91 | 2019 |
Client–server architecture for collaborative remote experimentation MJ Callaghan, J Harkin, E McColgan, TM McGinnity, LP Maguire Journal of Network and Computer Applications 30 (4), 1295-1308, 2007 | 85 | 2007 |
Gray matter concentration and effective connectivity changes in Alzheimer’s disease: a longitudinal structural MRI study X Li, D Coyle, L Maguire, DR Watson, TM McGinnity Neuroradiology 53, 733-748, 2011 | 77 | 2011 |
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 | 73 | 2007 |