Ammar Belatreche
Ammar Belatreche
Associate Professor in Computer Science, Faculty of Engineering and Environment
Email verificata su northumbria.ac.uk - Home page
TitoloCitata daAnno
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
1832007
Advances in design and application of spiking neural networks
A Belatreche, LP Maguire, M McGinnity
Soft Computing 11 (3), 239-248, 2007
1022007
An experimental evaluation of novelty detection methods
X Ding, Y Li, A Belatreche, LP Maguire
Neurocomputing 135, 313-327, 2014
842014
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
International Work-Conference on Artificial Neural Networks, 552-563, 2005
812005
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
592016
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
562014
Edge detection based on spiking neural network model
QX Wu, M McGinnity, L Maguire, A Belatreche, B Glackin
International Conference on Intelligent Computing, 26-34, 2007
552007
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
522006
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
512014
A method for supervised training of spiking neural networks
A Belatreche, LP Maguire, M McGinnity, QX Wu
Cybernetic Intelligence, Challenges and Advances, 11, 2003
432003
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
382015
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
322017
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
322016
Processing visual stimuli using hierarchical spiking neural networks
QX Wu, TM McGinnity, LP Maguire, A Belatreche, B Glackin
Neurocomputing 71 (10-12), 2055-2068, 2008
302008
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
262015
Compensating for synaptic loss in Alzheimer’s disease
K Abuhassan, D Coyle, A Belatreche, L Maguire
Journal of computational neuroscience 36 (1), 19-37, 2014
222014
Learning mechanisms in networks of spiking neurons
QX Wu, M McGinnity, L Maguire, B Glackin, A Belatreche
Trends in Neural Computation, 171-197, 2007
222007
Adaptive co-ordinate transformation based on a spike timing-dependent plasticity learning paradigm
QX Wu, TM McGinnity, LP Maguire, A Belatreche, B Glackin
International Conference on Natural Computation, 420-428, 2005
202005
Fast architectures for FPGA-based implementation of RSA encryption algorithm
O Nibouche, M Nibouche, A Bouridane, A Belatreche
Proceedings. 2004 IEEE International Conference on Field-Programmable …, 2004
202004
An evolutionary strategy for supervised training of biologically plausible neural networks
A Belatreche, LP Maguire, M McGinnity, QX Wu
The sixth international conference on computational intelligence and natural …, 2003
192003
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20