Ammar Belatreche

发表

Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks pdf

Malu Zhang, Jiadong Wang, Zhixuan Zhang, 2020, ArXiv.

Evaluating machine learning classification for financial trading: An empirical approach

Ammar Belatreche, T. Martin McGinnity, Eduardo A. Gerlein, 2016, Expert Syst. Appl..

Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks.

Malu Zhang, Jiadong Wang, Zhixuan Zhang, 2020 .

A New Learning Algorithm for Adaptive Spiking Neural Networks

Ammar Belatreche, T. Martin McGinnity, Liam P. Maguire, 2011, ICONIP.

Detecting price manipulation in the financial market

Ammar Belatreche, T. Martin McGinnity, Sonya A. Coleman, 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

Biologically Inspired Neural Networks: Models, Learning, and Applications

Ammar Belatreche, 2010 .

Supervised learning in spiking neural networks with synaptic delay-weight plasticity

Malu Zhang, Ammar Belatreche, Hong Qu, 2020, Neurocomputing.

A review of learning in biologically plausible spiking neural networks

Ammar Belatreche, Yuhua Li, Aboozar Taherkhani, 2019, Neural Networks.

Predicting short-term wholesale prices on the Irish single electricity market with artificial neural networks

Ammar Belatreche, Pengfei Li, Francesco Arci, 2017, 2017 28th Irish Signals and Systems Conference (ISSC).

Hardware-based agent modelling: event-driven reactive architecture (EDRA)

Ammar Belatreche, T. Martin McGinnity, Eduardo A. Gerlein, 2014, AAMAS.

Forecasting stock price directional movements using technical indicators: Investigating window size effects on one-step-ahead forecasting

Ammar Belatreche, T. Martin McGinnity, Sonya A. Coleman, 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Pre-processing online financial text for sentiment classification: A natural language processing approach

Ammar Belatreche, T. Martin McGinnity, Sonya A. Coleman, 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

Network on Chip Architecture for Multi-Agent Systems in FPGA

Ammar Belatreche, T. Martin McGinnity, Eduardo A. Gerlein, 2017, TRETS.

Detection of Stock Price Manipulation Using Kernel Based Principal Component Analysis and Multivariate Density Estimation

Ammar Belatreche, Ahmed Bouridane, Ian Watson, 2020, IEEE Access.

Sentiment Classification in the Financial Domain Using? SVM and Multi-Objective Optimisation

Ammar Belatreche, T. Martin McGinnity, Sonya A. Coleman, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Neuro inspired reconfigurable architecture for hardware/software co-design

Ammar Belatreche, Liam McDaid, Waqar Ahmed, 2009, 2009 IEEE International SOC Conference (SOCC).

Novelty Detection Using Level Set Methods

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2015, IEEE Transactions on Neural Networks and Learning Systems.

A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Predicting Stock Price Movements Based on Different Categories of News Articles

Ammar Belatreche, T. Martin McGinnity, Sonya A. Coleman, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing

Malu Zhang, Ammar Belatreche, Hong Qu, 2020, IEEE Journal of Selected Topics in Signal Processing.

Echo state network‐based feature extraction for efficient color image segmentation

Ammar Belatreche, Elhadj Benkhelifa, Kevin Curran, 2020, Concurr. Comput. Pract. Exp..

Adaptive Co-ordinate Transformation Based on a Spike Timing-Dependent Plasticity Learning Paradigm

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2005, ICNC.

Biologically Inspired Neural Networks

Ammar Belatreche, 2010 .

Learning Mechanisms in Networks of Spiking Neurons

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2007, Trends in Neural Computation.

Processing visual stimuli using hierarchical spiking neural networks

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2008, Neurocomputing.

SpikeTemp: An Enhanced Rank-Order-Based Learning Approach for Spiking Neural Networks With Adaptive Structure

Ammar Belatreche, T. Martin McGinnity, Jinling Wang, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Towards Building A Facial Identification System Using Quantum Machine Learning Techniques pdf

Ammar Belatreche, Richard M. Jiang, Richard Jiang, 2020, Journal of Advances in Information Technology.

Learning under weight constraints in networks of temporal encoding spiking neurons

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2006, Neurocomputing.

Pattern Recognition with Spiking Neural Networks and Dynamic Synapses

Ammar Belatreche, Martin McGinnity, Liam Maguire, 2004 .

A Hidden Markov Model with Abnormal States for Detecting Stock Price Manipulation

Ammar Belatreche, T. Martin McGinnity, Sonya A. Coleman, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Evaluating the generalisation capability of a CMOS based synapse

Ammar Belatreche, Liam McDaid, Steve Hall, 2012, Neurocomputing.

An online supervised learning method for spiking neural networks with adaptive structure

Ammar Belatreche, T. Martin McGinnity, Jinling Wang, 2014, Neurocomputing.

Evaluation of LibSVM and mutual information matching classifiers for multi-domain sentiment analysis

Sonya Coleman, Ammar Belatreche, Yuhua Li, 2012 .

Novelty Detection Using Level Set Methods with Adaptive Boundaries

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Learning and computing with biologically plausible neural networks

Ammar Belatreche, 2006 .

Stock Price Manipulation Detection Using Empirical Mode Decomposition Based Kernel Density Estimation Clustering Method

Ammar Belatreche, Ahmed Bouridane, Baqar Abbas, 2018, IntelliSys.

SpikeComp: An Evolving Spiking Neural Network with Adaptive Compact Structure for Pattern Classification

Ammar Belatreche, T. Martin McGinnity, Jinling Wang, 2015, ICONIP.

Detecting wash trade in the financial market

Ammar Belatreche, T. Martin McGinnity, Sonya A. Coleman, 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

Dynamic cluster formation using populations of spiking neurons

Ammar Belatreche, Rakesh Paul, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

An experimental evaluation of novelty detection methods

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2014, Neurocomputing.

Constructing minimum volume surfaces using level set methods for novelty detection

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Computing with Biologically Inspired Neural Oscillators: Application to Colour Image Segmentation

Ammar Belatreche, T. Martin McGinnity, Liam McDaid, 2010, Adv. Artif. Intell..

2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2008, Neural Networks.

Application of biologically inspired neural oscillators to colour image segmentation

Ammar Belatreche, T. Martin McGinnity, Liam McDaid, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

A new biologically plausible supervised learning method for spiking neurons

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2014, ESANN.

A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2005, IWANN.

Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning

Ammar Belatreche, T. Martin McGinnity, Sonya A. Coleman, 2016, Decis. Support Syst..

Neuro-Inspired Speech Recognition Based on Reservoir Computing

Ammar Belatreche, Liam McDaid, Tm McGinnity, 2010 .

Evaluating the training dynamics of a CMOS based synapse

Ammar Belatreche, Liam McDaid, Steve Hall, 2011, The 2011 International Joint Conference on Neural Networks.

EMPD: An Efficient Membrane Potential Driven Supervised Learning Algorithm for Spiking Neurons

Malu Zhang, Ammar Belatreche, Hong Qu, 2018, IEEE Transactions on Cognitive and Developmental Systems.

Feedforward Computational Model for Pattern Recognition with Spiking neurons

Jianping Li, Malu Zhang, Ammar Belatreche, 2018, Int. J. Robotics Autom..

Evolutionary design of spiking neural networks.

Qingxiang Wu, Ammar Belatreche, Martin McGinnity, 2006 .

Design of efficient architectures for discrete orthogonal transforms using bit level systolic structures

Abbes Amira, Ammar Belatreche, Ahmed Bouridane, 2002 .

EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking Neurons

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2015, ICONIP.

Challenges for large-scale implementations of spiking neural networks on FPGAs

Ammar Belatreche, T. Martin McGinnity, Jim Harkin, 2007, Neurocomputing.

Detecting Wash Trade in Financial Market Using Digraphs and Dynamic Programming

Ammar Belatreche, T. Martin McGinnity, Sonya A. Coleman, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Design and FPGA implementation of orthonormal inverse discrete wavelet transforms

Ammar Belatreche, Ahmed Bouridane, O. Nibouche, 2001, 2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01). Workshop Proceedings (Cat. No.01EX471).

Forecasting price movements using technical indicators: Investigating the impact of varying input window length

Ammar Belatreche, T. Martin McGinnity, Sonya A. Coleman, 2017, Neurocomputing.

Edge Detection Based on Spiking Neural Network Model

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2009, ICIC.

Blood vessel segmentation in retinal images using echo state networks

Kevin Curran, Ammar Belatreche, Abdelkader Benyettou, 2017, 2017 Ninth International Conference on Advanced Computational Intelligence (ICACI).

A Dendritic Cell Immune System Inspired Approach for Stock Market Manipulation Detection

Ammar Belatreche, Ahmed Bouridane, Baqar Rizvi, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Multi-agent pre-trade analysis acceleration in FPGA

Ammar Belatreche, T. Martin McGinnity, Eduardo A. Gerlein, 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

A locally adaptive boundary evolution algorithm for novelty detection using level set methods

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Compensating for synaptic loss in Alzheimer’s disease

Ammar Belatreche, Damien Coyle, Liam P. Maguire, 2013, Journal of Computational Neuroscience.

Fast architectures for FPGA-based implementation of RSA encryption algorithm

Ammar Belatreche, Ahmed Bouridane, Mokhtar Nibouche, 2004, Proceedings. 2004 IEEE International Conference on Field- Programmable Technology (IEEE Cat. No.04EX921).

Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection

Ammar Belatreche, T. Martin McGinnity, Sonya A. Coleman, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Bio-inspired hierarchical framework for multi-view face detection and pose estimation

Ammar Belatreche, Jim Harkin, Yuhua Li, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Online versus offline learning for spiking neural networks: A review and new strategies

Ammar Belatreche, Jinling Wang, Martin McGinnity, 2010, 2010 IEEE 9th International Conference on Cyberntic Intelligent Systems.

Advances in Design and Application of Spiking Neural Networks

Ammar Belatreche, T. Martin McGinnity, Liam P. Maguire, 2006, Soft Comput..

An experimental evaluation of echo state network for colour image segmentation

Kevin Curran, Ammar Belatreche, Abdelkader Benyettou, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

An Evolutionary Strategy for Supervised Training of Biologically Plausible Neural Networks

Qingxiang Wu, Ammar Belatreche, Martin McGinnity, 2003 .

Immune Inspired Dendritic Cell Algorithm for Stock Price Manipulation Detection

Ammar Belatreche, Ahmed Bouridane, Baqar Rizvi, 2019, IntelliSys.

Stock Price Manipulation Detection based on Autoencoder Learning of Stock Trades Affinity

Kamlesh Mistry, Ammar Belatreche, Ahmed Bouridane, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A Method for Supervised Training of Spiking Neural Networks

Ammar Belatreche, Qing Wu, Liam Maguire, 2003 .

Bio-Inspired Hybrid Framework for Multi-view Face Detection

Ammar Belatreche, Jim Harkin, Yuhua Li, 2015, ICONIP.

Stock price prediction based on stock-specific and sub-industry-specific news articles

Ammar Belatreche, T. Martin McGinnity, Sonya A. Coleman, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons

Zhang Yi, Malu Zhang, Ammar Belatreche, 2019, IEEE Transactions on Neural Networks and Learning Systems.

A Multi-objective Pareto-Optimal Wrapper Based Framework for Cancer-Related Gene Selection

Ammar Belatreche, Huseyin Seker, Omer Faruk Ogutcen, 2018, IntelliSys.

Dynamically Evolving Spiking Neural network for pattern recognition

Ammar Belatreche, T. Martin McGinnity, Jinling Wang, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Investigation into the pragmatism of phenomenological spiking neurons for hardware implementation on FPGAs

Ammar Belatreche, Girijesh Prasad, Tm McGinnity, 2004 .

An Integrated Supervised-Unsupervised Hybrid Learning Algorithm for Adaptive Spiking Neural Networks

Ammar Belatreche, T. Martin McGinnity, Liam Maguire, 2011 .

A comparison of forecasting approaches for capital markets

Scott McDonald, Ammar Belatreche, T. Martin McGinnity, 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

On Depth, Robustness and Performance Using the Data Re-Uploading Single-Qubit Classifier

Ammar Belatreche, Ahmed Bouridane, Richard Jiang, 2021, IEEE Access.

Information Processing Functionality of Spiking Neurons for Image Feature Extraction

Qingxiang Wu, Ammar Belatreche, Martin McGinnity, 2007 .