Items where Author is "Belatreche, A"
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TAHERKHANI, A., BELATRECHE, A., LI, Y., COSMA, G., MAGUIRE, L.P. and MCGINNITY, T.M., 2020. A review of learning in biologically plausible spiking neural networks. Neural Networks, 122, pp. 253-272. ISSN 0893-6080
TAHERKHANI, A., BELATRECHE, A., LI, Y. and MAGUIRE, L.P., 2018. A supervised learning algorithm for learning precise timing of multiple spikes in multilayer spiking neural networks. IEEE Transactions on Neural Networks and Learning Systems. ISSN 2162-237X
GERLEIN, E.A., MCGINNITY, T.M., BELATRECHE, A. and COLEMAN, S., 2017. Network on chip architecture for multi-agent systems in FPGA. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 10 (4), p. 25. ISSN 1936-7406
SHYNKEVICH, Y., MCGINNITY, T.M., COLEMAN, S.A., BELATRECHE, A. and LI, Y., 2017. Forecasting price movements using technical indicators: investigating the impact of varying input window length. Neurocomputing, 264, pp. 71-88. ISSN 0925-2312
WANG, J., BELATRECHE, A., MAGUIRE, L.P. and MCGINNITY, T.M., 2017. SpikeTemp: an enhanced rank-order-based learning approach for spiking neural networks with adaptive structure. IEEE Transactions on Neural Networks and Learning Systems, 28 (1), pp. 30-43. ISSN 2162-237X
CAO, Y., LI, Y., COLEMAN, S., BELATRECHE, A. and MCGINNITY, T.M., 2016. Detecting wash trade in financial market using digraphs and dynamic programming. IEEE Transactions on Neural Networks and Learning Systems, 27 (11), pp. 2351-2363. ISSN 2162-237X
GERLEIN, E.A., MCGINNITY, M., BELATRECHE, A. and COLEMAN, S., 2016. Evaluating machine learning classification for financial trading: an empirical approach. Expert Systems with Applications, 54, pp. 193-207. ISSN 0957-4174
SHYNKEVICH, Y., MCGINNITY, T.M., COLEMAN, S.A. and BELATRECHE, A., 2016. Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning. Decision Support Systems, 85 (May), pp. 74-83. ISSN 0167-9236
TAHERKHANI, A., BELATRECHE, A., LI, Y. and MAGUIRE, L.P., 2015. DL-ReSuMe: a delay learning-based remote supervised method for spiking neurons. IEEE Transactions on Neural Networks and Learning Systems, 26 (12), pp. 3137-3149. ISSN 2162-237X
CAO, Y., LI, Y., COLEMAN, S., BELATRECHE, A. and MCGINNITY, T.M., 2015. Adaptive hidden Markov model With anomaly states for price manipulation detection. IEEE Transactions on Neural Networks and Learning Systems, 26 (2), pp. 318-330. ISSN 2162-237X
WANG, J., BELATRECHE, A., MAGUIRE, L. and MCGINNITY, T.M., 2014. An online supervised learning method for spiking neural networks with adaptive structure. Neurocomputing, 144, pp. 526-536. ISSN 0925-2312