T. Martin McGinnity

发表

Knowledge Discovery in Databases with Diversity of Data Types

Qingxiang Wu, David A. Bell, T. Martin McGinnity, 2009, Encyclopedia of Data Warehousing and Mining.

Evaluating machine learning classification for financial trading: An empirical approach

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

Spiking Hierarchical Neural Network for Corner Detection

Qingxiang Wu, T. Martin McGinnity, Sonya A. Coleman, 2011, IJCCI.

Chromaticity Space for Illuminant Invariant Recognition

T. Martin McGinnity, Sivalogeswaran Ratnasingam, 2012, IEEE Transactions on Image Processing.

EEG denoising with a recurrent quantum neural network for a brain-computer interface

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2011, The 2011 International Joint Conference on Neural Networks.

Comparative Investigation into Classical and Spiking Neuron Implementations on FPGAs

T. Martin McGinnity, Girijesh Prasad, Liam P. Maguire, 2005, ICANN.

A New Learning Algorithm for Adaptive Spiking Neural Networks

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

Modelling retinal ganglion cells using self-organising fuzzy neural networks

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

Multiknowledge for decision making

Qingxiang Wu, David A. Bell, T. Martin McGinnity, 2005, Knowledge and Information Systems.

Review of Neuron Types in the Retina: Information Models for Neuroengineering

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2009, ICANN.

Extending Remote Experimentation Environments to Support Visual and Audio Impaired Users

T. Martin McGinnity, Malachy McElholm, Jim Harkin, 2007, Int. J. Online Eng..

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).

Robospike Sensory Processing for a Mobile Robot Using Spiking Neural Networks

T. Martin McGinnity, Liam P. Maguire, Michael F. Mc Bride, 2009, ICANN.

A self-organising fuzzy neural network with locally recurrent self-adaptive synapses

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2011, 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS).

An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network

T. Martin McGinnity, Girijesh Prasad, Gang Leng, 2005, Fuzzy Sets Syst..

A Hardware Accelerated Simulation Environment for Spiking Neural Networks

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2009, ARC.

Intrinsically motivated learning systems based on biologically-inspired novelty detection

T. Martin McGinnity, Yiannis Gatsoulis, T. McGinnity, 2015, Robotics Auton. Syst..

A cognitive robotic ecology approach to self-configuring and evolving AAL systems

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2015, Eng. Appl. Artif. Intell..

Third order loose coupled hybrid intelligent system for machine vision applications

T. Martin McGinnity, Liam McDaid, Michael J. Callaghan, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

Paradigms in Remote Experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2007, Int. J. Online Eng..

Linguistic Decision Making for Robot Route Learning

T. Martin McGinnity, Sonya A. Coleman, Bryan Gardiner, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Coordinated traffic scheduling for communicating mobile robots

T. Martin McGinnity, Sonya A. Coleman, Mo M. Jamshidi, 2011, 2011 6th International Conference on System of Systems Engineering.

A Quaternary CLB Design Using Quantum Device Technology on Silicon for FPGA Neural Network Architectures

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 2005, IWANN.

A design for a self-organizing fuzzy neural network based on the genetic algorithm

T. Martin McGinnity, Girijesh Prasad, Gang Leng, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Spiking neuron models of the medial and lateral superior olive for sound localisation

Julie A. Wall, T. Martin McGinnity, Liam McDaid, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Autonomous Skills Creation and Integration in Robotics

T. Martin McGinnity, Lorenzo Riano, 2012, AAAI Spring Symposium: Designing Intelligent Robots.

Client-Server Architecture for Collaborative Remote Experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2005, Third International Conference on Information Technology and Applications (ICITA'05).

An on-line algorithm for creating self-organizing fuzzy neural networks

T. Martin McGinnity, Girijesh Prasad, Gang Leng, 2004, Neural Networks.

Detection of Straight Lines Using a Spiking Neural Network Model

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2009, 2009 Fifth International Conference on Natural Computation.

Accelerating embedded applications using dynamically reconfigurable hardware and evolutionary algorithms

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2000, Proceedings 2000 IEEE Symposium on Field-Programmable Custom Computing Machines (Cat. No.PR00871).

Issues in the development of an integrated environment for embedded system design: Part B: design and implementation

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1999, Microprocess. Microsystems.

A time multiplexed architecture for neural networks using quantum devices

T. Martin McGinnity, Liam McDaid, Peter M. Kelly, 2008, 2008 15th IEEE International Conference on Electronics, Circuits and Systems.

Online unsupervised cumulative learning for life-long robot operation

T. Martin McGinnity, Yiannis Gatsoulis, Christopher Burbridge, 2011, 2011 IEEE International Conference on Robotics and Biomimetics.

Investigation into Sub-Receptive Fields of Retinal Ganglion Cells with Natural Images

T. Martin McGinnity, Sonya A. Coleman, Dermot Kerr, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

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

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

Modelling the generation of tinnitus in a silent environment

T. Martin McGinnity, Sonya A. Coleman, Richard Gault, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

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).

A multi-modal approach to continuous material identification through tactile sensing

T. Martin McGinnity, Sonya A. Coleman, Augusto Gomez Eguiluz, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Spiking Neural Network Model of Sound Localization Using the Interaural Intensity Difference

Julie A. Wall, T. Martin McGinnity, Liam McDaid, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Decision Making Based on Hybrid of Multi-Knowledge and Naïve Bayes Classifier

Qingxiang Wu, David A. Bell, T. Martin McGinnity, 2005, Foundations of Data Mining and knowledge Discovery.

Predicting a Chaotic Time Series using Fuzzy Neural network

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1998, Inf. Sci..

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).

A Time-Frequency Approach to Feature Extraction for a Brain-Computer Interface with a Comparative Analysis of Performance Measures

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2005, EURASIP J. Adv. Signal Process..

A biologically plausible real-time spiking neuron simulation environment based on a multiple-FPGA platform

T. Martin McGinnity, Shufan Yang, 2011, CARN.

EEG-based continuous control of a game using a 3 channel motor imagery BCI: BCI game

T. Martin McGinnity, Damien Coyle, Abdul Rehman Satti, 2011, 2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB).

Network on Chip Architecture for Multi-Agent Systems in FPGA

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

A Novel Discretizer for Knowledge Discovery Approaches Based on Rough Sets

Qingxiang Wu, David A. Bell, T. Martin McGinnity, 2006, RSKT.

An STDP Training Algorithm for a Spiking Neural Network with Dynamic Threshold Neurons

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 2010, Int. J. Neural Syst..

NatCSNN: A Convolutional Spiking Neural Network for Recognition of Objects Extracted from Natural Images

T. Martin McGinnity, Georgina Cosma, Pedro Machado, 2019, ICANN.

Hybrid Intelligent Architectures using a Neurofuzzy Approach

T. Martin McGinnity, Liam P. Maguire, Brendan P. Glackin, 2002, Advances in Computational Intelligence and Learning.

Quantum Neural Network-Based EEG Filtering for a Brain–Computer Interface

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Si elegans: Evaluation of an innovative optical synaptic connectivity method for C. elegans Phototaxis using FPGAs

T. Martin McGinnity, Axel W. Blau, Kofi Appiah, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Enhancement of Fiber Orientation Distribution Reconstruction in Diffusion-Weighted Imaging by Single Channel Blind Source Separation

T. Martin McGinnity, Huaizhong Zhang, Sonya A. Coleman, 2012, IEEE Transactions on Biomedical Engineering.

Emulating Spiking Neural Networks for edge detection on FPGA hardware

Qingxiang Wu, T. Martin McGinnity, Jim Harkin, 2009, 2009 International Conference on Field Programmable Logic and Applications.

Object recognition based on tactile form perception

T. Martin McGinnity, Sivalogeswaran Ratnasingam, T. Mcginnity, 2011, 2011 IEEE Workshop on Robotic Intelligence In Informationally Structured Space.

A Supervised STDP Based Training Algorithm with Dynamic Threshold Neurons

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

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.

An Application Directed Adaptive Framework for Autonomic Software

T. Martin McGinnity, Girijesh Prasad, Bridget Meehan, 2008, J. Softw..

VHDL-AMS code gneration from UML structural representations

T. Martin McGinnity, Liam McDaid, C. T. Carr, 2004, FDL.

Inter-Neuron Communications for Large-Scale Neural Networks using Capacitive Coupling

T. Martin McGinnity, Liam McDaid, John Alderman, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Modeling architectures for VLSI Implementations of Fuzzy Logic Systems

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1999, Inf. Sci..

Biologically inspired intensity and range image feature extraction

T. Martin McGinnity, Sonya A. Coleman, Dermot Kerr, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Si elegans - Computational Modelling of C. elegans Nematode Nervous System using FPGAs

T. Martin McGinnity, John J. Wade, Pedro Machado, 2014, NEUROTECHNIX.

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.

A Binary Multiplier Using RTD Based Threshold Logic Gates

T. Martin McGinnity, Liam P. Maguire, Peter M. Kelly, 2003, IWANN.

A collaborative environment for remote experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2003, Proceedings 2003 IEEE International Conference on Microelectronic Systems Education. MSE'03.

Genetic algorithm driven hardware-software partitioning for dynamically reconfigurable embedded systems

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2001, Microprocess. Microsystems.

A framework for autonomic software

T. Martin McGinnity, Girijesh Prasad, Bridget Meehan, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

A Time Multiplexing Architecture for Inter-neuron Communications

T. Martin McGinnity, Liam McDaid, John Alderman, 2006, ICANN.

A CASE-tool oriented approach for embedded systems design

T. Martin McGinnity, Liam P. Maguire, 2001, Microprocess. Microsystems.

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

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

Inter-brain Mutual Information in Social Interaction Tasks

T. Martin McGinnity, Girijesh Prasad, KongFatt Wong-Lin, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

Network properties of a computational model of the dorsal raphe nucleus

T. Martin McGinnity, Girijesh Prasad, KongFatt Wong-Lin, 2012, Neural Networks.

Query Representation through Lexical Association for Information Retrieval

T. Martin McGinnity, Laxmidhar Behera, Pawan Goyal, 2012, IEEE Transactions on Knowledge and Data Engineering.

A visual attention model based on hierarchical spiking neural networks

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2013, Neurocomputing.

Emergent Behaviours Driven by Chaotic Dynamics

T. Martin McGinnity, Lorenzo Riano, 2010, 2010 International Conference on Emerging Security Technologies.

On brain-inspired hybrid topologies for nano-architectures - a Rent’s rule approach -

Valeriu Beiu, T. Martin McGinnity, Basheer A. M. Madappuram, 2008, 2008 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation.

A symbiosis algorithm for robotic control

T. Martin McGinnity, Nazmul H. Siddique, Liam P. Maguire, 2005, 2005 IEEE Congress on Evolutionary Computation.

C. elegans behavioural response germane to Hardware modelling

T. Martin McGinnity, Kofi Appiah, Pedro Machado, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A fast distributed auction and consensus process using parallel task allocation and execution

T. Martin McGinnity, Sonya A. Coleman, Laxmidhar Behera, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

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.

Design philosophy for self-repair of electronic systems using the UML

T. Martin McGinnity, Liam P. Maguire, Eamomn A. Coyle, 2002, IEE Proc. Softw..

The Implementation of Fuzzy Systems, Neural Networks and Fuzzy Neural Networks using FPGAs

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1998, Inf. Sci..

Temporal Changes of Diffusion Patterns in Mild Traumatic Brain Injury via Group-Based Semi-blind Source Separation

T. Martin McGinnity, Sonya A. Coleman, Armin Fuchs, 2015, IEEE Journal of Biomedical and Health Informatics.

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.

Client-Server Architecture for Collaborative Remote Experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2005, ICITA.

Primitive action learning using fuzzy neural networks

T. Martin McGinnity, Yiannis Gatsoulis, Indrazno Siradjuddin, 2012, 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO).

Towards robot-human reliable hand-over: Continuous detection of object perturbation force direction

T. Martin McGinnity, Sonya A. Coleman, Augusto Gomez Eguiluz, 2017, 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Evolving task specific algorithms for machine vision applications

T. Martin McGinnity, Liam McDaid, Michael J. Callaghan, 2005, Third International Conference on Information Technology and Applications (ICITA'05).

Learning under weight constraints in networks of temporal encoding spiking neurons

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

Biological Goal Seeking

T. Martin McGinnity, Tobi Delbrück, Sonya A. Coleman, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Computational modelling of salamander retinal ganglion cells using machine learning approaches

T. Martin McGinnity, Sonya A. Coleman, Dermot Kerr, 2019, Neurocomputing.

Human Pulse and Respiratory Signal Analysis using a Robot Hand equipped with a Biomimetic Fingertip

T. Martin McGinnity, Sonya Coleman, Emmett Kerr, 2019 .

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.

Measurement of Capillary Refill Time (CRT) in Healthy Subjects Using a Robotic Hand

T. Martin McGinnity, Sonya A. Coleman, Emmett Kerr, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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

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

Si elegans: A Computational Model of C. elegans Muscle Response to Light

T. Martin McGinnity, Kofi Appiah, Pedro Machado, 2015, NEUROTECHNIX.

Continuous material identification through tactile sensing

T. Martin McGinnity, Sonya A. Coleman, Augusto Gomez Eguiluz, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Exploring Neural Principles with Si elegans, a Neuromimetic Representation of the Nematode Caenorhabditis elegans

T. Martin McGinnity, Fearghal Morgan, Gorka Epelde, 2014, NEUROTECHNIX.

Hardware-Software Partitioning: A Reconfigurable and Evolutionary Computing Approach

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2001, FPL.

A least angle regression method for fMRI activation detection in phase-encoded experimental designs

T. Martin McGinnity, Damien Coyle, Habib Benali, 2010, NeuroImage.

A neuro-inspired visual tracking method based on programmable system-on-chip platform

T. Martin McGinnity, KongFatt Wong-Lin, Terrence S. T. Mak, 2017, Neural Computing and Applications.

A mathematical model to explore the interdependence between the serotonin and orexin/hypocretin systems

T. Martin McGinnity, KongFatt Wong-Lin, Girijesh Prasad, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Intelligent User-Support in Learning Environments for Remote Experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2005, Third International Conference on Information Technology and Applications (ICITA'05).

A Low-Cost Real-Time Three-Dimensional Confocal Fluorescence Endomicroscopy Imaging System

T. Martin McGinnity, Feng Zhao, T. McGinnity, 2011, 2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology.

Performance Comparison of a Biologically Inspired Edge Detection Algorithm on CPU, GPU and FPGA

Qingxiang Wu, T. Martin McGinnity, Brendan P. Glackin, 2010, IJCCI.

Faster Self-Organizing Fuzzy Neural Network Training and a Hyperparameter Analysis for a Brain–Computer Interface

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

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).

An FPGA Hardware/Software Co-Design towards Evolvable Spiking Neural Networks for Robotics Application

T. Martin McGinnity, Girijesh Prasad, Liam P. Maguire, 2010, Int. J. Neural Syst..

Designing a robust type-2 fuzzy logic classifier for non-stationary systems with application in brain-computer interfacing

T. Martin McGinnity, Girijesh Prasad, Pawel Andrzej Herman, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

Support Vector-Enhanced Design of a T2FL Approach to Motor Imagery-Related EEG Pattern Recognition

T. Martin McGinnity, Girijesh Prasad, Pawel Andrzej Herman, 2007, 2007 IEEE International Fuzzy Systems Conference.

Predictive-spectral-spatial preprocessing for a multiclass brain-computer interface

T. Martin McGinnity, Damien Coyle, Abdul Rehman Satti, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Biologically motivated spiral architecture for fast video processing

T. Martin McGinnity, Bryan W. Scotney, Sonya A. Coleman, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Novel "Squiral" (square spiral) architecture for fast image processing

T. Martin McGinnity, Bryan W. Scotney, Sonya A. Coleman, 2017, J. Vis. Commun. Image Represent..

Adaptive Proactive Inhibitory Control for Embedded Real-Time Applications

T. Martin McGinnity, KongFatt Wong-Lin, Shufan Yang, 2012, Front. Neuroeng..

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

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

Development of Cognitive Capabilities for Smart Home Using a Self-Organizing Fuzzy Neural Network

T. Martin McGinnity, Sonya A. Coleman, Liam P. Maguire, 2012, SyRoCo.

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).

Image Based Visual Servoing of a 7 DOF robot manipulator using a distributed fuzzy proportional controller

T. Martin McGinnity, Sonya A. Coleman, Laxmidhar Behera, 2010, International Conference on Fuzzy Systems.

A spiking neural network for tactile form based object recognition

T. Martin McGinnity, Sivalogeswaran Ratnasingam, T. Mcginnity, 2011, The 2011 International Joint Conference on Neural Networks.

Beyond Mobile Apps: A Survey of Technologies for Mental Well-Being pdf

T. Martin McGinnity, Athanasios Tsanas, Eiman Kanjo, 2019, IEEE Transactions on Affective Computing.

Spiking Neural Network Performs Discrete Cosine Transform for Visual Images

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2009, ICIC.

Signalling techniques and their effect on neural network implementation sizes

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 2001, Inf. Sci..

Client-Server Architecture for Remote Experimentation for Embedded Systems

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2006, Int. J. Online Eng..

The Si elegans Project - The Challenges and Prospects of Emulating Caenorhabditis elegans

T. Martin McGinnity, Fearghal Morgan, Gorka Epelde, 2014, Living Machines.

Modeling and optimizing run-time reconfiguration using evolutionary computation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2004, TECS.

> Replace This Line with Your Paper Identification Number (double-click Here to Edit) < 1 Fig. 1. Conceptual Framework of the Rqnn Model

T. Martin McGinnity, Vaibhav Gandhi, Vaibhav Gandhi, 2022 .

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

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

Area Efficient Architecture for Large Scale Implementation of Biologically Plausible Spiking Neural Networks on Reconfigurable Hardware

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2006, 2006 International Conference on Field Programmable Logic and Applications.

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..

Self-repair of embedded systems

T. Martin McGinnity, Liam P. Maguire, Eamomn A. Coyle, 2004, Eng. Appl. Artif. Intell..

Integration of UML and VHDL-AMS for analogue system modelling

T. Martin McGinnity, Liam McDaid, C. T. Carr, 2003, Formal Aspects of Computing.

A Context-Based Word Indexing Model for Document Summarization

T. Martin McGinnity, Laxmidhar Behera, Pawan Goyal, 2013, IEEE Transactions on Knowledge and Data Engineering.

Inter-neuron communication strategies for spiking neural networks

T. Martin McGinnity, Liam McDaid, John Alderman, 2007, Neurocomputing.

A multi-class brain-computer interface with SOFNN-based prediction preprocessing

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Material classification based on thermal properties — A robot and human evaluation

T. Martin McGinnity, Sonya A. Coleman, Emmett Kerr, 2013, 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO).

Multimodal Material identification through recursive tactile sensing

T. Martin McGinnity, Sonya A. Coleman, Augusto Gomez Eguiluz, 2018, Robotics Auton. Syst..

Simultaneous allocations of multiple tightly-coupled multi-robot tasks to coalitions of heterogeneous robots

T. Martin McGinnity, Sonya A. Coleman, Gautham P. Das, 2014, 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014).

Hardware/Software Co-Design for Spike Based Recognition pdf

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2008, ArXiv.

A spiking neuronal network model of the dorsal raphe nucleus

T. Martin McGinnity, KongFatt Wong-Lin, Girijesh Prasad, 2011, The 2011 International Joint Conference on Neural Networks.

Multi-knowledge Approach for Mobile Robot Identification of a Changing Environment

Qingxiang Wu, David A. Bell, T. Martin McGinnity, 2006, EUROS.

Intelligent User Support in Autonomous Remote Experimentation Environments

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2008, IEEE Transactions on Industrial Electronics.

A position based visual tracking system for a 7 DOF robot manipulator using a Kinect camera

T. Martin McGinnity, Sonya A. Coleman, Laxmidhar Behera, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

On the Emergence of Novel Behaviours From Complex Non Linear Systems

T. Martin McGinnity, Lorenzo Riano, 2010, BICA.

Distributed Architecture for Adaptive Intelligent Environments

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2004, IEEE/WIC/ACM International Conference on Web Intelligence (WI'04).

An Information Retrieval Model Based on Automatically Learnt Concept Hierarchies

T. Martin McGinnity, Laxmidhar Behera, Pawan Goyal, 2009, 2009 IEEE International Conference on Semantic Computing.

Re-Programmable MVL Circuits and Architecture to Enable Evolvable MVL Hardware

T. Martin McGinnity, Liam P. Maguire, Peter M. Kelly, 2003, J. Multiple Valued Log. Soft Comput..

Towards pulse detection and rhythm analysis using a biomimetic fingertip

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

Adaptive intelligent environment for remote experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).

Spike Train Synchrony Analysis of Neuronal Cultures

T. Martin McGinnity, Nikesh Lama, Bob Stevens, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Design for Self-Organizing Fuzzy Neural Networks Based on Genetic Algorithms

T. Martin McGinnity, Girijesh Prasad, Gang Leng, 2006, IEEE Transactions on Fuzzy Systems.

Material classification based on thermal and surface texture properties evaluated against human performance

T. Martin McGinnity, Sonya A. Coleman, Emmett Kerr, 2014, 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV).

Modulation of Effective Connectivity in the Default Mode Network at Rest and During a Memory Task

T. Martin McGinnity, Damien Coyle, Xingfeng Li, 2015, Brain Connect..

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

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

Bio-Inspired Ganglion Cell Models for Detecting Horizontal and Vertical Movements

T. Martin McGinnity, Georgina Cosma, Andreas Oikonomou, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

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.

A Spiking Neural Network Model of the Medial Superior Olive Using Spike Timing Dependent Plasticity for Sound Localization

Julie A. Wall, T. Martin McGinnity, Liam McDaid, 2010, Frontiers in computational neuroscience.

Intrinsic and extrinsic implementation of a bio-inspired hardware system

T. Martin McGinnity, Liam P. Maguire, Brendan P. Glackin, 2004, Inf. Sci..

A metagenomic hybrid classifier for paediatric inflammatory bowel disease

T. Martin McGinnity, Sonya A. Coleman, Benjamin Wingfield, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A Distributed Task Allocation Algorithm for a Multi-Robot System in Healthcare Facilities

T. Martin McGinnity, Sonya A. Coleman, Laxmidhar Behera, 2015, J. Intell. Robotic Syst..

Challenges in clustering C. elegans neurons using computational approaches

T. Martin McGinnity, Kofi Appiah, Pedro Machado, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Reliable robotic handovers through tactile sensing

T. Martin McGinnity, Sonya A. Coleman, Augusto Gomez Eguiluz, 2019, Auton. Robots.

A biologically inspired spiking model of visual processing for image feature detection

T. Martin McGinnity, Sonya A. Coleman, Dermot Kerr, 2015, Neurocomputing.

A novel spiral addressing scheme for rectangular images

T. Martin McGinnity, Bryan W. Scotney, Sonya A. Coleman, 2015, 2015 14th IAPR International Conference on Machine Vision Applications (MVA).

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

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

Evolving learning mechanism for a general computing network model

Qingxiang Wu, David A. Bell, T. Martin McGinnity, 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

Robotic Ubiquitous Cognitive Ecology for Smart Homes

Stefano Chessa, Alessandro Saffiotti, Davide Bacciu, 2015, Journal of Intelligent & Robotic Systems.

Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2010, ICIC.

Biologically inspired intrinsically motivated learning for service robots based on novelty detection and habituation

T. Martin McGinnity, Yiannis Gatsoulis, Christopher Burbridge, 2012, 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO).

On-chip and Off-chip Real-Time Debugging for Remotely-Accessed Embedded Programmable Systems

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2003, FPL.

Automatically composing and parameterizing skills by evolving Finite State Automata

T. Martin McGinnity, Lorenzo Riano, 2012, Robotics Auton. Syst..

Biologically Inspired Edge Detection using Spiking Neural Networks and Hexagonal Images

Qingxiang Wu, T. Martin McGinnity, Sonya A. Coleman, 2011, IJCCI.

Transparent Modelling of Risk Assessment factors for Assisted Living

T. Martin McGinnity, Sonya A. Coleman, Dermot Kerr, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Edge Detection Based on Spiking Neural Network Model

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

Material recognition using tactile sensing

T. Martin McGinnity, Sonya A. Coleman, Emmett Kerr, 2018, Expert Syst. Appl..

Improvement of Decision Accuracy Using Discretization of Continuous Attributes

Qingxiang Wu, Guilin Qi, David A. Bell, 2006, FSKD.

Deep-FS: A feature selection algorithm for Deep Boltzmann Machines

T. Martin McGinnity, Georgina Cosma, Aboozar Taherkhani, 2018, Neurocomputing.

Modular hardware design for distant‐internet embedded systems engineering laboratory

T. Martin McGinnity, Emmanuel M. Drakakis, Jim Harkin, 2009, Comput. Appl. Eng. Educ..

Integrated architecture for remote experimentation

T. Martin McGinnity, Girijesh Prasad, Jim Harkin, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

A Least Trimmed Square Regression Method for Second Level fMRI Effective Connectivity Analysis

T. Martin McGinnity, Damien Coyle, Liam P. Maguire, 2012, Neuroinformatics.

Emulation of chemical stimulus triggered head movement in the C. elegans nematode

T. Martin McGinnity, Gorka Epelde, Andoni Mujika, 2018, Neurocomputing.

Quantifying the role of complexity in a system’s performance

T. Martin McGinnity, Lorenzo Riano, Lorenzo Riano, 2011, Evol. Syst..

Kinematic control of a redundant manipulator using an inverse-forward adaptive scheme with a KSOM based hint generator

T. Martin McGinnity, Laxmidhar Behera, Swagat Kumar, 2010, Robotics Auton. Syst..

Novelty Detection as an Intrinsic Motivation for Cumulative Learning Robots

T. Martin McGinnity, Nazmul H. Siddique, Yiannis Gatsoulis, 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.

Motion Detection Using Spiking Neural Network Model

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2008, ICIC.

Cost effectiveness issues in remote experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

Evaluating Quantum Neural Network filtered motor imagery brain-computer interface using multiple classification techniques

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2015, Neurocomputing.

A comparison of sound localisation techniques using cross-correlation and spiking neural networks for mobile robotics

Julie A. Wall, T. Martin McGinnity, Liam P. Maguire, 2011, The 2011 International Joint Conference on Neural Networks.

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 self-organizing computing network for decision-making in data sets with a diversity of data types

Qingxiang Wu, David A. Bell, T. Martin McGinnity, 2006, IEEE Transactions on Knowledge and Data Engineering.

Erratum to "An on-line algorithm for creating self-organizing fuzzy neural networks" [Neural Networks 17(10)(2004)1477-1493]

T. Martin McGinnity, Girijesh Prasad, Gang Leng, 2006, Neural Networks.

Modelling of a retinal ganglion cell with simple spiking models

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

Fault diagnosis of electronic systems using intelligent techniques: a review

T. Martin McGinnity, Liam P. Maguire, W. G. Fenton, 2001, IEEE Trans. Syst. Man Cybern. Part C.

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.

A Fuzzy Neural Network for Approximate Fuzzy Reasoning

T. Martin McGinnity, Liam McDaid, Liam Maguire, 1997 .

A Robot Model of Dynamic Appraisal and Response

Tom Ziemke, T. Martin McGinnity, Carlos Herrera Pérez, 2009, Encyclopedia of Artificial Intelligence.

A Distribution-Index-Based Discretizer for Decision-Making with Symbolic AI Approaches

Qingxiang Wu, David A. Bell, T. Martin McGinnity, 2007, IEEE Transactions on Knowledge and Data Engineering.

Simulation of Visual Attention Using Hierarchical Spiking Neural Networks

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2011, ICIC.

Robot control code generation by task demonstration in a dynamic environment

T. Martin McGinnity, Sonya A. Coleman, Bryan Gardiner, 2012, Robotics Auton. Syst..

Si elegans: Hardware architecture and communications protocol

T. Martin McGinnity, Kofi Appiah, John J. Wade, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A robot that autonomously improves skills by evolving computational graphs

T. Martin McGinnity, Lorenzo Riano, 2012, 2012 IEEE Congress on Evolutionary Computation.

Biologically inspired edge detection

Qingxiang Wu, T. Martin McGinnity, Sonya A. Coleman, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Advances in Design and Application of Spiking Neural Networks

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

Online Object Trajectory Classification Using FPGA-SoC Devices

T. Martin McGinnity, Pranjali Shinde, Pedro Machado, 2018, UKCI.

A novel neighborhood based document smoothing model for information retrieval

T. Martin McGinnity, Laxmidhar Behera, Pawan Goyal, 2012, Information Retrieval.

Enhancing Autonomy and Computational Efficiency of the Self-Organizing Fuzzy Neural Network for a Brain Computer Interface

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Dynamically Reconfigurable Online Self-organising Fuzzy Neural Network with Variable Number of Inputs for Smart Home Application

T. Martin McGinnity, Sonya A. Coleman, Liam P. Maguire, 2013, IJCCI.

Hardware Implementation of a Membership Function Generator for Fuzzy Reasoning

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1997, Inf. Sci..

A comparison of encoding schemes for haptic object recognition using a biologically plausible spiking neural network

T. Martin McGinnity, Sivalogeswaran Ratnasingam, T. Mcginnity, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Issues in the development of an integrated environment for embedded system design: Part A: user needs and commercial products

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1999, Microprocess. Microsystems.

Improving the separability of multiple EEG features for a BCI by neural-time-series-prediction-preprocessing

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2010, Biomed. Signal Process. Control..

A novel approach to robot vision using a hexagonal grid and spiking neural networks

Qingxiang Wu, T. Martin McGinnity, Sonya A. Coleman, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Si elegans: FPGA hardware emulation of C. elegans nematode nervous system

T. Martin McGinnity, John J. Wade, Pedro Machado, 2014, 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014).

Entailment of Causal Queries in Narratives using Action Language

T. Martin McGinnity, Laxmidhar Behera, Pawan Goyal, 2009, KDIR.

Robotic UBIquitous COgnitive Network

Alessio Micheli, T. Martin McGinnity, Claudio Gennaro, 2012, ISAmI.

A Novel Criterion for Characterizing Diffusion Anisotropy in HARDI Data Based on the MDL Technique

T. Martin McGinnity, Sonya A. Coleman, Min Jing, 2010, ICMB.

A Model Selection Method for Nonlinear System Identification Based fMRI Effective Connectivity Analysis

T. Martin McGinnity, Damien Coyle, Habib Benali, 2011, IEEE Transactions on Medical Imaging.

Designing an Interval Type-2 Fuzzy Logic System for Handling Uncertainty Effects in Brain–Computer Interface Classification of Motor Imagery Induced EEG Patterns

T. Martin McGinnity, Girijesh Prasad, Pawel Andrzej Herman, 2017, IEEE Transactions on Fuzzy Systems.

From a fuzzy flip-flop to a MVL flip-flop

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1999, Proceedings 1999 29th IEEE International Symposium on Multiple-Valued Logic (Cat. No.99CB36329).

Reducing interconnection resource overhead in nano-scale FPGAs through MVL signal systems

T. Martin McGinnity, Liam P. Maguire, Peter M. Kelly, 2005, 2005 IEEE International Conference on Application-Specific Systems, Architecture Processors (ASAP'05).

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).

The Application of Social Media Image Analysis to an Emergency Management System

T. Martin McGinnity, Bryan W. Scotney, Sonya A. Coleman, 2016, 2016 11th International Conference on Availability, Reliability and Security (ARES).

Reliable object handover through tactile force sensing and effort control in the Shadow Robot hand

T. Martin McGinnity, Sonya A. Coleman, Augusto Gomez Eguiluz, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

An iterative robot-image Jacobian approximation of image-based visual servoing for joint limit avoidance

T. Martin McGinnity, Sonya A. Coleman, Laxmidhar Behera, 2012, Int. J. Mechatronics Autom..

Intelligent Remote Experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2004, IEEE/WIC/ACM International Conference on Web Intelligence (WI'04).

A hybrid forecasting approach using ARIMA models and self-organising fuzzy neural networks for capital markets

Scott McDonald, T. Martin McGinnity, Sonya A. Coleman, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Dynamically Evolving Spiking Neural network for pattern recognition

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

Modelling and Analysis of Retinal Ganglion Cells Through System Identification

T. Martin McGinnity, Sonya A. Coleman, Dermot Kerr, 2014, IJCCI.

Novelty detection in user behavioural models within ambient assisted living applications: An experimental evaluation

T. Martin McGinnity, Sonya A. Coleman, Liam P. Maguire, 2014, 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014).

EEG-Based Mobile Robot Control Through an Adaptive Brain–Robot Interface

T. Martin McGinnity, Girijesh Prasad, Laxmidhar Behera, 2014, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

On utilizing self-organizing fuzzy neural networks for financial forecasts in the NN5 forecasting competition

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

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

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

Neuro-inspired Speech Recognition with Recurrent Spiking Neurons

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2008, ICANN.

PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing pdf

T. Martin McGinnity, Tobi Delbrück, Sonya A. Coleman, 2018, ArXiv.

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).

Flood Event Image Recognition via Social Media Image and Text Analysis

Bryan Scotney, Sonya Coleman, T. Martin McGinnity, 2016 .

Neural Circuit Interactions between the Dorsal Raphe Nucleus and the Lateral Hypothalamus: An Experimental and Computational Study

T. Martin McGinnity, Girijesh Prasad, KongFatt Wong-Lin, 2014, PloS one.