Ammar Belatreche

Mohamed Elarbi-Boudihir

Int. J. Intell. Eng. Informatics, 2024

WALDATA: Wavelet transform based adversarial learning for the detection of anomalous trading activities.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Ternary Spike-based Neuromorphic Signal Processing System.

[BibT_eX]

[DOI]

CoRR, 2024

Q-SNNs: Quantized Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Event-Driven Learning for Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Q-SNNs: Quantized Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Stock Price Manipulation Detection using Variational Autoencoder and Recurrence Plots.

[BibT_eX]

[DOI]

Khaled Safa

Salima Ouadfel

Proceedings of the International Joint Conference on Neural Networks, 2024

Stock Price Manipulation Detection using Spiking Neural Networks.

[BibT_eX]

[DOI]

Venkata Pavan Kumar Miriyala

Obiye Ada-Ibrama

Baqar Rizvi

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

A comprehensive review of video steganalysis.

[BibT_eX]

[DOI]

IET Image Process., 2022

A Novel Image Enhancement Method for Palm Vein Images.

[BibT_eX]

[DOI]

Kaveen Perera

Fouad Khelifi

Proceedings of the 8th International Conference on Control, 2022

2021

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

[BibT_eX]

[DOI]

Philip Easom-McCaldin

Richard Jiang

IEEE Access, 2021

2020

A review of learning in biologically plausible spiking neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2020

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

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2020

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

[BibT_eX]

[DOI]

Neurocomputing, 2020

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

[BibT_eX]

[DOI]

Philip Easom-McCaldin

Richard Jiang

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Echo state network-based feature extraction for efficient color image segmentation.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2020

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

[BibT_eX]

[DOI]

IEEE Access, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Immune Inspired Dendritic Cell Algorithm for Stock Price Manipulation Detection.

[BibT_eX]

[DOI]

Baqar Rizvi

Proceedings of the Intelligent Systems and Applications, 2019

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

[BibT_eX]

[DOI]

Baqar Rizvi

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

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

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2018

Feedforward Computational Model for Pattern Recognition with Spiking neurons.

[BibT_eX]

[DOI]

Int. J. Robotics Autom., 2018

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

[BibT_eX]

[DOI]

Omer Faruk Ogutcen

Huseyin Seker

Proceedings of the Intelligent Systems and Applications, 2018

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

[BibT_eX]

[DOI]

Baqar Abbas

Proceedings of the Intelligent Systems and Applications, 2018

2017

Network on Chip Architecture for Multi-Agent Systems in FPGA.

[BibT_eX]

[DOI]

Eduardo A. Gerlein

Sonya A. Coleman

ACM Trans. Reconfigurable Technol. Syst., 2017

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

[BibT_eX]

[DOI]

Jinling Wang

IEEE Trans. Neural Networks Learn. Syst., 2017

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

[BibT_eX]

[DOI]

Neurocomputing, 2017

Blood vessel segmentation in retinal images using echo state networks.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Advanced Computational Intelligence, 2017

2016

Detecting Wash Trade in Financial Market Using Digraphs and Dynamic Programming.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

Evaluating machine learning classification for financial trading: An empirical approach.

[BibT_eX]

[DOI]

Eduardo A. Gerlein

Sonya A. Coleman

Expert Syst. Appl., 2016

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

[BibT_eX]

[DOI]

Decis. Support Syst., 2016

An experimental evaluation of echo state network for colour image segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Novelty Detection Using Level Set Methods.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

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

[BibT_eX]

[DOI]

Fan Sun

Sonya A. Coleman

Yuhua Li

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Predicting Stock Price Movements Based on Different Categories of News Articles.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Dynamically Evolving Spiking Neural network for pattern recognition.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

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

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

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

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

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

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

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

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

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

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Bio-Inspired Hybrid Framework for Multi-view Face Detection.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014

Compensating for synaptic loss in Alzheimer's disease.

[BibT_eX]

[DOI]

J. Comput. Neurosci., 2014

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

[BibT_eX]

[DOI]

Jinling Wang

Neurocomputing, 2014

An experimental evaluation of novelty detection methods.

[BibT_eX]

[DOI]

Neurocomputing, 2014

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

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A new biologically plausible supervised learning method for spiking neurons.

[BibT_eX]

[DOI]

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

A comparison of forecasting approaches for capital markets.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Multi-agent pre-trade analysis acceleration in FPGA.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Detecting wash trade in the financial market.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Detecting price manipulation in the financial market.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

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

[BibT_eX]

[DOI]

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013

Novelty Detection Using Level Set Methods with Adaptive Boundaries.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2013

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2013

2012

Evaluating the generalisation capability of a CMOS based synapse.

[BibT_eX]

[DOI]

Neurocomputing, 2012

Constructing minimum volume surfaces using level set methods for novelty detection.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Dynamic cluster formation using populations of spiking neurons.

[BibT_eX]

[DOI]

Rakesh Paul

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Evaluating the training dynamics of a CMOS based synapse.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A New Learning Algorithm for Adaptive Spiking Neural Networks.

[BibT_eX]

[DOI]

Jinling Wang

Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010

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

[BibT_eX]

[DOI]

Adv. Artif. Intell., 2010

Application of biologically inspired neural oscillators to colour image segmentation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Neuro inspired reconfigurable architecture for hardware/software co-design.

[BibT_eX]

[DOI]

Proceedings of the Annual IEEE International SoC Conference, SoCC 2009, 2009

2008

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

[BibT_eX]

[DOI]

Neural Networks, 2008

Processing visual stimuli using hierarchical spiking neural networks.

[BibT_eX]

[DOI]

Neurocomputing, 2008

2007

Learning Mechanisms in Networks of Spiking Neurons.

[BibT_eX]

[DOI]

Proceedings of the Trends in Neural Computation, 2007

Advances in Design and Application of Spiking Neural Networks.

[BibT_eX]

[DOI]

T. Martin McGinnity

Soft Comput., 2007

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

[BibT_eX]

[DOI]

Neurocomputing, 2007

Edge Detection Based on Spiking Neural Network Model.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

2006

Learning and computing with biologically plausible neural networks.

[BibT_eX]

[DOI]