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Ammar Belatreche
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2020 – today
- 2024
- [j34]Khaled Safa, Ammar Belatreche, Salima Ouadfel, Richard Jiang:
WALDATA: Wavelet transform based adversarial learning for the detection of anomalous trading activities. Expert Syst. Appl. 255: 124729 (2024) - [j33]Mourad Bouzegza, Ammar Belatreche, Ahmed Bouridane, Mohamed Elarbi-Boudihir:
OHON4D: optimised histogram of 4D normals for human behaviour recognition in depth sequences. Int. J. Intell. Eng. Informatics 12(3): 328-352 (2024) - [j32]Philip Easom-McCaldin
, Ahmed Bouridane
Efficient Quantum Image Classification Using Single Qubit Encoding. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1472-1486 (2024) - [c42]Ammar Belatreche, Obiye Ada-Ibrama, Baqar Rizvi:
Stock Price Manipulation Detection using Spiking Neural Networks. IJCNN 2024: 1-8 - [c41]Khaled Safa, Ammar Belatreche, Salima Ouadfel:
Stock Price Manipulation Detection using Variational Autoencoder and Recurrence Plots. IJCNN 2024: 1-8 - [c40]Wenjie Wei
Q-SNNs: Quantized Spiking Neural Networks. ACM Multimedia 2024: 8441-8450 - [i5]Wenjie Wei, Malu Zhang, Jilin Zhang, Ammar Belatreche, Jibin Wu, Zijing Xu, Xuerui Qiu, Hong Chen, Yang Yang, Haizhou Li:
Event-Driven Learning for Spiking Neural Networks. CoRR abs/2403.00270 (2024) - [i4]Wenjie Wei, Yu Liang, Ammar Belatreche, Yichen Xiao, Honglin Cao, Zhenbang Ren, Guoqing Wang, Malu Zhang, Yang Yang:
Q-SNNs: Quantized Spiking Neural Networks. CoRR abs/2406.13672 (2024) - [i3]Shuai Wang, Dehao Zhang, Ammar Belatreche, Yichen Xiao, Hongyu Qing, Wenjie Wei, Malu Zhang, Yang Yang:
Ternary Spike-based Neuromorphic Signal Processing System. CoRR abs/2407.05310 (2024) - 2023
- [c39]Wenjie Wei, Malu Zhang, Hong Qu, Ammar Belatreche, Jian Zhang, Hong Chen:
Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation. ICCV 2023: 10518-10528 - 2022
- [j31]Mourad Bouzegza
A comprehensive review of video steganalysis. IET Image Process. 16(13): 3407-3425 (2022) - [j30]Malu Zhang
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(5): 1947-1958 (2022) - [c38]Kaveen Perera, Fouad Khelifi, Ammar Belatreche:
A Novel Image Enhancement Method for Palm Vein Images. CoDIT 2022: 1467-1472 - 2021
- [j29]Philip Easom-McCaldin
On Depth, Robustness and Performance Using the Data Re-Uploading Single-Qubit Classifier. IEEE Access 9: 65127-65139 (2021) - 2020
- [j28]Baqar Rizvi
Detection of Stock Price Manipulation Using Kernel Based Principal Component Analysis and Multivariate Density Estimation. IEEE Access 8: 135989-136003 (2020) - [j27]Abdelkerim Souahlia
Echo state network-based feature extraction for efficient color image segmentation. Concurr. Comput. Pract. Exp. 32(21) (2020) - [j26]Malu Zhang, Jibin Wu, Ammar Belatreche, Zihan Pan, Xiurui Xie, Yansong Chua, Guoqi Li, Hong Qu
Supervised learning in spiking neural networks with synaptic delay-weight plasticity. Neurocomputing 409: 103-118 (2020) - [j25]Malu Zhang
An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing. IEEE J. Sel. Top. Signal Process. 14(3): 592-602 (2020) - [j24]Aboozar Taherkhani
A review of learning in biologically plausible spiking neural networks. Neural Networks 122: 253-272 (2020) - [c37]Baqar Rizvi, Ammar Belatreche, Ahmed Bouridane, Kamlesh Mistry:
Stock Price Manipulation Detection based on Autoencoder Learning of Stock Trades Affinity. IJCNN 2020: 1-8 - [i2]Malu Zhang, Jiadong Wang, Zhixuan Zhang, Ammar Belatreche, Jibin Wu, Yansong Chua, Hong Qu, Haizhou Li:
Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks. CoRR abs/2003.11837 (2020) - [i1]Philip Easom-McCaldin, Ahmed Bouridane, Ammar Belatreche, Richard Jiang:
Towards Building A Facial Identification System Using Quantum Machine Learning Techniques. CoRR abs/2008.12616 (2020)
2010 – 2019
- 2019
- [j23]Malu Zhang, Hong Qu
A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 30(1): 123-137 (2019) - [c36]Baqar Rizvi, Ammar Belatreche, Ahmed Bouridane:
A Dendritic Cell Immune System Inspired Approach for Stock Market Manipulation Detection. CEC 2019: 3325-3332 - [c35]Baqar Rizvi, Ammar Belatreche, Ahmed Bouridane:
Immune Inspired Dendritic Cell Algorithm for Stock Price Manipulation Detection. IntelliSys (1) 2019: 352-361 - 2018
- [j22]Malu Zhang, Hong Qu, Jianping Li, Ammar Belatreche, Xiurui Xie, Zhi Zeng:
Feedforward Computational Model for Pattern Recognition with Spiking neurons. Int. J. Robotics Autom. 33(1) (2018) - [j21]Malu Zhang, Hong Qu
EMPD: An Efficient Membrane Potential Driven Supervised Learning Algorithm for Spiking Neurons. IEEE Trans. Cogn. Dev. Syst. 10(2): 151-162 (2018) - [j20]Aboozar Taherkhani
A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5394-5407 (2018) - [c34]Omer Faruk Ogutcen, Ammar Belatreche, Huseyin Seker:
A Multi-objective Pareto-Optimal Wrapper Based Framework for Cancer-Related Gene Selection. IntelliSys (2) 2018: 353-364 - [c33]Baqar Abbas, Ammar Belatreche, Ahmed Bouridane:
Stock Price Manipulation Detection Using Empirical Mode Decomposition Based Kernel Density Estimation Clustering Method. IntelliSys (2) 2018: 851-866 - 2017
- [j19]Yauheniya Shynkevich
Forecasting price movements using technical indicators: Investigating the impact of varying input window length. Neurocomputing 264: 71-88 (2017) - [j18]Jinling Wang
SpikeTemp: An Enhanced Rank-Order-Based Learning Approach for Spiking Neural Networks With Adaptive Structure. IEEE Trans. Neural Networks Learn. Syst. 28(1): 30-43 (2017) - [j17]Eduardo A. Gerlein
Network on Chip Architecture for Multi-Agent Systems in FPGA. ACM Trans. Reconfigurable Technol. Syst. 10(4): 25:1-25:22 (2017) - [c32]Abdelkerim Souahlia
Blood vessel segmentation in retinal images using echo state networks. ICACI 2017: 91-98 - 2016
- [j16]Yauheniya Shynkevich
Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning. Decis. Support Syst. 85: 74-83 (2016) - [j15]Eduardo A. Gerlein
Evaluating machine learning classification for financial trading: An empirical approach. Expert Syst. Appl. 54: 193-207 (2016) - [j14]Yi Cao
Detecting Wash Trade in Financial Market Using Digraphs and Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2351-2363 (2016) - [c31]Abdelkerim Souahlia
An experimental evaluation of echo state network for colour image segmentation. IJCNN 2016: 1143-1150 - 2015
- [j13]Yi Cao
Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection. IEEE Trans. Neural Networks Learn. Syst. 26(2): 318-330 (2015) - [j12]Xuemei Ding, Yuhua Li
Novelty Detection Using Level Set Methods. IEEE Trans. Neural Networks Learn. Syst. 26(3): 576-588 (2015) - [j11]Aboozar Taherkhani
DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3137-3149 (2015) - [c30]Aboozar Taherkhani
EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking Neurons. ICONIP (2) 2015: 190-197 - [c29]Niall McCarroll, Ammar Belatreche, Jim Harkin
Bio-Inspired Hybrid Framework for Multi-view Face Detection. ICONIP (4) 2015: 232-239 - [c28]Jinling Wang
SpikeComp: An Evolving Spiking Neural Network with Adaptive Compact Structure for Pattern Classification. ICONIP (2) 2015: 259-267 - [c27]Niall McCarroll, Ammar Belatreche, Jim Harkin
Bio-inspired hierarchical framework for multi-view face detection and pose estimation. IJCNN 2015: 1-8 - [c26]Yauheniya Shynkevich, T. Martin McGinnity
Stock price prediction based on stock-specific and sub-industry-specific news articles. IJCNN 2015: 1-8 - [c25]Aboozar Taherkhani
Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method. IJCNN 2015: 1-7 - [c24]Jinling Wang
Dynamically Evolving Spiking Neural network for pattern recognition. IJCNN 2015: 1-8 - [c23]Yauheniya Shynkevich, T. Martin McGinnity
Predicting Stock Price Movements Based on Different Categories of News Articles. SSCI 2015: 703-710 - [c22]Fan Sun, Ammar Belatreche, Sonya A. Coleman
Sentiment Classification in the Financial Domain Using? SVM and Multi-Objective Optimisation. SSCI 2015: 910-916 - 2014
- [j10]Xuemei Ding, Yuhua Li
An experimental evaluation of novelty detection methods. Neurocomputing 135: 313-327 (2014) - [j9]Jinling Wang
An online supervised learning method for spiking neural networks with adaptive structure. Neurocomputing 144: 526-536 (2014) - [j8]Kamal Abuhassan
Compensating for synaptic loss in Alzheimer's disease. J. Comput. Neurosci. 36(1): 19-37 (2014) - [c21]Eduardo A. Gerlein, T. Martin McGinnity, Ammar Belatreche, Sonya A. Coleman, Yuhua Li:
Hardware-based agent modelling: event-driven reactive architecture (EDRA). AAMAS 2014: 1497-1498 - [c20]Scott McDonald, Sonya A. Coleman
A comparison of forecasting approaches for capital markets. CIFEr 2014: 32-39 - [c19]Yi Cao
Detecting price manipulation in the financial market. CIFEr 2014: 77-84 - [c18]Yi Cao
Detecting wash trade in the financial market. CIFEr 2014: 85-91 - [c17]Fan Sun, Ammar Belatreche, Sonya A. Coleman
Pre-processing online financial text for sentiment classification: A natural language processing approach. CIFEr 2014: 122-129 - [c16]Eduardo A. Gerlein
Multi-agent pre-trade analysis acceleration in FPGA. CIFEr 2014: 262-269 - [c15]Yauheniya Shynkevich, T. Martin McGinnity
Forecasting stock price directional movements using technical indicators: Investigating window size effects on one-step-ahead forecasting. CIFEr 2014: 341-348 - [c14]Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire:
A new biologically plausible supervised learning method for spiking neurons. ESANN 2014 - [c13]Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
A locally adaptive boundary evolution algorithm for novelty detection using level set methods. IJCNN 2014: 1870-1876 - 2013
- [c12]Yi Cao
A Hidden Markov Model with Abnormal States for Detecting Stock Price Manipulation. SMC 2013: 3014-3019 - [c11]Xuemei Ding, Yuhua Li
Novelty Detection Using Level Set Methods with Adaptive Boundaries. SMC 2013: 3020-3025 - 2012
- [j7]Arfan Ghani
Evaluating the generalisation capability of a CMOS based synapse. Neurocomputing 83: 188-197 (2012) - [c10]Ammar Belatreche, Rakesh Paul:
Dynamic cluster formation using populations of spiking neurons. IJCNN 2012: 1-6 - [c9]Xuemei Ding, Yuhua Li
Constructing minimum volume surfaces using level set methods for novelty detection. IJCNN 2012: 1-6 - 2011
- [c8]Jinling Wang
A New Learning Algorithm for Adaptive Spiking Neural Networks. ICONIP (1) 2011: 461-468 - [c7]Arfan Ghani
Evaluating the training dynamics of a CMOS based synapse. IJCNN 2011: 1162-1168 - 2010
- [j6]Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity, Liam McDaid
Computing with Biologically Inspired Neural Oscillators: Application to Colour Image Segmentation. Adv. Artif. Intell. 2010: 405073:1-405073:21 (2010) - [c6]Ammar Belatreche, Liam P. Maguire
Application of biologically inspired neural oscillators to colour image segmentation. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c5]Arfan Ghani
Neuro inspired reconfigurable architecture for hardware/software co-design. SoCC 2009: 287-290 - 2008
- [j5]Qingxiang Wu, T. Martin McGinnity
Processing visual stimuli using hierarchical spiking neural networks. Neurocomputing 71(10-12): 2055-2068 (2008) - [j4]Qingxiang Wu, T. Martin McGinnity
2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism. Neural Networks 21(9): 1318-1327 (2008) - 2007
- [j3]Liam P. Maguire
Challenges for large-scale implementations of spiking neural networks on FPGAs. Neurocomputing 71(1-3): 13-29 (2007) - [j2]Ammar Belatreche, Liam P. Maguire
Advances in Design and Application of Spiking Neural Networks. Soft Comput. 11(3): 239-248 (2007) - [c4]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire
Edge Detection Based on Spiking Neural Network Model. ICIC (2) 2007: 26-34 - [p1]Qingxiang Wu, T. Martin McGinnity
Learning Mechanisms in Networks of Spiking Neurons. Trends in Neural Computation 2007: 171-197 - 2006
- [b1]Ammar Belatreche:
Learning and computing with biologically plausible neural networks. Ulster University, UK, 2006 - [j1]Qingxiang Wu, T. Martin McGinnity
Learning under weight constraints in networks of temporal encoding spiking neurons. Neurocomputing 69(16-18): 1912-1922 (2006) - 2005
- [c3]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire
Adaptive Co-ordinate Transformation Based on a Spike Timing-Dependent Plasticity Learning Paradigm. ICNC (1) 2005: 420-428 - [c2]Brendan P. Glackin, T. Martin McGinnity, Liam P. Maguire
A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware. IWANN 2005: 552-563 - 2004
- [c1]Omar Nibouche, Mokhtar Nibouche, Ahmed Bouridane, Ammar Belatreche:
Fast architectures for FPGA-based implementation of RSA encryption algorithm. FPT 2004: 271-278
Coauthor Index
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last updated on 2024-11-11 21:30 CET by the dblp team
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