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ORCIDT. Martin McGinnity
Thomas Martin McGinnity – T. M. McGinnity
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- affiliation: Ulster University, Coleraine, UK
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2020 – today
- 2023
[j106]Benn Henderson
, Pratheepan Yogarajah, Bryan Gardiner, T. Martin McGinnity:
Encoding Kinematic and Temporal Gait Data in an Appearance-Based Feature for the Automatic Classification of Autism Spectrum Disorder. IEEE Access 11: 134100-134117 (2023)- [j105]Kieran Woodward, Eiman Kanjo, David J. Brown, T. M. McGinnity, Gordon Harold:
In the hands of users with intellectual disabilities: co-designing tangible user interfaces for mental wellbeing. Pers. Ubiquitous Comput. 27(6): 2171-2191 (2023) - [j104]Aboozar Taherkhani, Georgina Cosma, T. M. McGinnity:
A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets. SN Comput. Sci. 4(6): 832 (2023) - [j103]Pedro Machado, João Filipe Ferreira, Andreas Oikonomou, T. M. McGinnity:
NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector. ACM Trans. Reconfigurable Technol. Syst. 16(3): 36:1-36:23 (2023) - [c153]Benn Henderson, Yogarajah Pratheepan, Bryan Gardiner, T. M. McGinnity:
3D Human Pose Estimation Model Analysis: Gait Analytics for Autism Spectrum Disorder Detection. AICS 2023: 1-4 - [c152]Oluwatamilore Orojo, Jonathan A. Tepper, T. Martin McGinnity, Mufti Mahmud:
The Multi-Recurrent Neural Network for State-Of-The-Art Time-Series Processing. INNS DLIA@IJCNN 2023: 488-498 - [i11]Augusto Gómez Eguíluz, Ignacio Rañó, Sonya A. Coleman, T. Martin McGinnity:
A multi-modal approach to continuous material identification through tactile sensing. CoRR abs/2311.03090 (2023) - 2022
- [j102]Kieran Woodward, Eiman Kanjo, David J. Brown, T. M. McGinnity, Becky Inkster, Donald J. Macintyre, Athanasios Tsanas:
Beyond Mobile Apps: A Survey of Technologies for Mental Well-Being. IEEE Trans. Affect. Comput. 13(3): 1216-1235 (2022) - [j101]Hongmei He, John Gray, Angelo Cangelosi, Qinggang Meng, T. Martin McGinnity, Jörn Mehnen:
The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems. IEEE Trans. Cogn. Dev. Syst. 14(4): 1398-1412 (2022) - [j100]Yong Li, Richard Gault, T. Martin McGinnity:
Probabilistic, Recurrent, Fuzzy Neural Network for Processing Noisy Time-Series Data. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4851-4860 (2022) - [c151]Vahid Saranirad, Shirin Dora, T. M. McGinnity, Damien Coyle:
Assembly-based STDP: A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies. IJCNN 2022: 1-7 - [i10]Pedro Machado, T. M. McGinnity:
Exploiting High Quality Tactile Sensors for Simplified Grasping. CoRR abs/2207.12360 (2022) - 2021
- [j99]Pedro Machado, Andreas Oikonomou, João Filipe Ferreira, T. Martin McGinnity:
HSMD: An Object Motion Detection Algorithm Using a Hybrid Spiking Neural Network Architecture. IEEE Access 9: 125258-125268 (2021) - [j98]Mufti Mahmud, M. Shamim Kaiser, T. Martin McGinnity, Amir Hussain:
Deep Learning in Mining Biological Data. Cogn. Comput. 13(1): 1-33 (2021) - [j97]Emmett Kerr, T. M. McGinnity, Sonya Coleman, Andrea Shepherd:
Human vital sign determination using tactile sensing and fuzzy triage system. Expert Syst. Appl. 175: 114781 (2021) - [c150]Oluwatamilore Orojo, Jonathan A. Tepper, T. M. McGinnity, Mufti Mahmud:
Sluggish State-Based Neural Networks Provide State-of-the-art Forecasts of Covid-19 Cases. AII 2021: 384-400 - [c149]Richard Gault, Philip J. Vance, T. Martin McGinnity, Sonya Coleman, Dermot Kerr:
Computational Approach to Identifying Contrast-Driven Retinal Ganglion Cells. ICANN (3) 2021: 635-646 - [c148]Wolfgang Bottcher, Pedro Machado, Nikesh Lama, T. M. McGinnity:
Object recognition for robotics from tactile time series data utilising different neural network architectures. IJCNN 2021: 1-8 - [c147]Vahid Saranirad, T. M. McGinnity, Shirin Dora, Damien Coyle:
DoB-SNN: A New Neuron Assembly-Inspired Spiking Neural Network for Pattern Classification. IJCNN 2021: 1-6 - [c146]Kieran Woodward, Eiman Kanjo, David J. Brown, T. M. McGinnity:
Towards Personalised Mental Wellbeing Recognition On-Device using Transfer Learning "in the Wild". ISC2 2021: 1-7 - [i9]Hongmei He, John Gray, Angelo Cangelosi, Qinggang Meng, T. Martin McGinnity, Jörn Mehnen:
The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems. CoRR abs/2105.04408 (2021) - [i8]Pedro Machado, Andreas Oikonomou, João Filipe Ferreira, T. M. McGinnity:
HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture. CoRR abs/2109.04119 (2021) - [i7]Wolfgang Bottcher, Pedro Machado, Nikesh Lama, T. M. McGinnity:
Object recognition for robotics from tactile time series data utilising different neural network architectures. CoRR abs/2109.04573 (2021) - 2020
- [j96]Aboozar Taherkhani, Georgina Cosma, T. M. McGinnity:
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning. Neurocomputing 404: 351-366 (2020) - [j95]Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Georgina Cosma, Liam P. Maguire, T. Martin McGinnity:
A review of learning in biologically plausible spiking neural networks. Neural Networks 122: 253-272 (2020) - [j94]Richard Gault, Thomas Martin McGinnity, Sonya Coleman:
Perceptual Modeling of Tinnitus Pitch and Loudness. IEEE Trans. Cogn. Dev. Syst. 12(2): 332-343 (2020) - [j93]Aboozar Taherkhani, Georgina Cosma, Thomas Martin McGinnity:
Optimization of Output Spike Train Encoding for a Spiking Neuron Based on its Spatio-Temporal Input Pattern. IEEE Trans. Cogn. Dev. Syst. 12(3): 427-438 (2020) - [c145]Oluwatamilore Orojo, Jonathan A. Tepper, T. M. McGinnity, Mufti Mahmud:
Time sensitivity and self-organisation in Multi-recurrent Neural Networks. IJCNN 2020: 1-7 - [i6]Kieran Woodward, Eiman Kanjo, David J. Brown, T. M. McGinnity:
On-Device Transfer Learning for Personalising Psychological Stress Modelling using a Convolutional Neural Network. CoRR abs/2004.01603 (2020) - [i5]Samuel Brandenburg, Pedro Machado, Nikesh Lama, T. M. McGinnity:
Strawberry Detection Using a Heterogeneous Multi-Processor Platform. CoRR abs/2011.03651 (2020)
2010 – 2019
- 2019
- [j92]Georgina Cosma, Thomas Martin McGinnity:
Feature Extraction and Classification Using Leading Eigenvectors: Applications to Biomedical and Multi-Modal mHealth Data. IEEE Access 7: 107400-107412 (2019) - [j91]Augusto Gomez Eguiluz, Iñaki Rañó, Sonya A. Coleman, T. Martin McGinnity:
Reliable robotic handovers through tactile sensing. Auton. Robots 43(7): 1623-1637 (2019) - [j90]Gautham P. Das, Philip J. Vance, Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Jian K. Liu:
Computational modelling of salamander retinal ganglion cells using machine learning approaches. Neurocomputing 325: 101-112 (2019) - [j89]Benjamin Wingfield, Sonya Coleman, T. M. McGinnity, Anthony J. Bjourson:
Robust Microbial Markers for Non-Invasive Inflammatory Bowel Disease Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 2078-2088 (2019) - [c144]Pedro Machado, Georgina Cosma, T. Martin McGinnity:
NatCSNN: A Convolutional Spiking Neural Network for Recognition of Objects Extracted from Natural Images. ICANN (1) 2019: 351-362 - [c143]Nikesh Lama, Alan Hargreaves, Bob Stevens, T. Martin McGinnity:
Transfer Entropy Based Connectivity Estimation of Spontaneously Firing Hippocampal Cultures on Multi Electrode Arrays. IJCNN 2019: 1-8 - [c142]Samuel Brandenburg, Pedro Machado, Pranjali Shinde, João Filipe Ferreira, T. Martin McGinnity:
Object Classification for Robotic Platforms. ROBOT (2) 2019: 199-210 - [c141]Oluwatamilore Orojo, Jonathan A. Tepper, T. M. McGinnity, Mufti Mahmud:
A Multi-recurrent Network for Crude Oil Price Prediction. SSCI 2019: 2940-2945 - [e2]Ahmad Lotfi, Hamid Bouchachia, Alexander E. Gegov, Caroline S. Langensiepen, T. Martin McGinnity:
Advances in Computational Intelligence Systems - Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. Advances in Intelligent Systems and Computing 840, Springer 2019, ISBN 978-3-319-97981-6 [contents] - [d2]Pedro Machado, Nikesh Lama, T. M. McGinnity:
WTS-FT ROS package. Zenodo, 2019
- [d1]Pedro Machado, T. M. McGinnity:
BioTac SP ROS stack. Zenodo, 2019 - [i4]Kieran Woodward, Eiman Kanjo, David J. Brown, T. Martin McGinnity, Becky Inkster, Donald J. Macintyre, Athanasios Tsanas:
Beyond Mobile Apps: A Survey of Technologies for Mental Well-being. CoRR abs/1905.00288 (2019) - [i3]Pedro Machado, Georgina Cosma, T. Martin McGinnity:
NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images. CoRR abs/1909.08288 (2019) - 2018
- [j88]Emmett Kerr, T. Martin McGinnity, Sonya A. Coleman:
Material recognition using tactile sensing. Expert Syst. Appl. 94: 94-111 (2018) - [j87]Alicia Costalago Meruelo, Pedro Machado, Kofi Appiah, Andoni Mujika, Peter Leskovský, Roberto Álvarez, Gorka Epelde, T. Martin McGinnity:
Emulation of chemical stimulus triggered head movement in the C. elegans nematode. Neurocomputing 290: 60-73 (2018) - [j86]Aboozar Taherkhani, Georgina Cosma, T. Martin McGinnity:
Deep-FS: A feature selection algorithm for Deep Boltzmann Machines. Neurocomputing 322: 22-37 (2018) - [j85]Shufan Yang, KongFatt Wong-Lin, James Andrew, Terrence S. T. Mak, T. Martin McGinnity:
A neuro-inspired visual tracking method based on programmable system-on-chip platform. Neural Comput. Appl. 30(9): 2697-2708 (2018) - [j84]Augusto Gomez Eguiluz, Iñaki Rañó, Sonya A. Coleman, T. Martin McGinnity:
Multimodal Material identification through recursive tactile sensing. Robotics Auton. Syst. 106: 130-139 (2018) - [j83]Philip J. Vance, Gautham P. Das, Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Tim Gollisch, Jian K. Liu:
Bioinspired Approach to Modeling Retinal Ganglion Cells Using System Identification Techniques. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1796-1808 (2018) - [j82]Dermot Kerr, Sonya A. Coleman, Thomas Martin McGinnity:
Biologically Inspired Intensity and Depth Image Edge Extraction. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5356-5365 (2018) - [c140]Emmett Kerr, Sonya A. Coleman, T. Martin McGinnity, Andrea Shepherd:
Measurement of Capillary Refill Time (CRT) in Healthy Subjects Using a Robotic Hand. CVPR Workshops 2018: 1291-1298 - [c139]Nikesh Lama, Alan Hargreaves, Bob Stevens, T. Martin McGinnity:
Spike Train Synchrony Analysis of Neuronal Cultures. IJCNN 2018: 1-8 - [c138]Pedro Machado, Andreas Oikonomou, Georgina Cosma, T. Martin McGinnity:
Bio-Inspired Ganglion Cell Models for Detecting Horizontal and Vertical Movements. IJCNN 2018: 1-8 - [c137]Philip J. Vance, Gautham P. Das, Sonya A. Coleman, Dermot Kerr, Emmett Kerr, Thomas Martin McGinnity:
Investigation into Sub-Receptive Fields of Retinal Ganglion Cells with Natural Images. IJCNN 2018: 1-8 - [c136]Philip J. Vance, Sonya A. Coleman, Dermot Kerr, Leeanne Lindsay, B. J. Taylor, E. P. Kerr, Bryan Gardiner, Thomas Martin McGinnity, Chengdong Wu:
Transparent Modelling of Risk Assessment factors for Assisted Living. SSCI 2018: 821-827 - [c135]E. P. Kerr, Philip J. Vance, Dermot Kerr, Sonya A. Coleman, Gautham P. Das, Thomas Martin McGinnity, Diederik Paul Moeys, Tobi Delbrück:
Biological Goal Seeking. SSCI 2018: 1602-1607 - [c134]Pranjali Shinde, Pedro Machado, Filipe Neves dos Santos, T. Martin McGinnity:
Online Object Trajectory Classification Using FPGA-SoC Devices. UKCI 2018: 291-302 - [i2]Diederik Paul Moeys, Daniel Neil, Federico Corradi, Emmett Kerr, Philip J. Vance, Gautham P. Das, Sonya A. Coleman, Thomas Martin McGinnity, Dermot Kerr, Tobi Delbrück:
PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing. CoRR abs/1807.03128 (2018) - 2017
- [j81]Yauheniya Shynkevich, T. Martin McGinnity, Sonya A. Coleman, Ammar Belatreche, Yuhua Li:
Forecasting price movements using technical indicators: Investigating the impact of varying input window length. Neurocomputing 264: 71-88 (2017) - [j80]Min Jing, Bryan W. Scotney, Sonya A. Coleman, T. Martin McGinnity:
Novel "Squiral" (square spiral) architecture for fast image processing. J. Vis. Commun. Image Represent. 49: 371-381 (2017) - [j79]Pawel Andrzej Herman, Girijesh Prasad, Thomas Martin McGinnity:
Designing an Interval Type-2 Fuzzy Logic System for Handling Uncertainty Effects in Brain-Computer Interface Classification of Motor Imagery Induced EEG Patterns. IEEE Trans. Fuzzy Syst. 25(1): 29-42 (2017) - [j78]Jinling Wang, Ammar Belatreche, Liam P. Maguire, Thomas Martin McGinnity:
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) - [j77]Eduardo A. Gerlein, Thomas Martin McGinnity, Ammar Belatreche, Sonya A. Coleman:
Network on Chip Architecture for Multi-Agent Systems in FPGA. ACM Trans. Reconfigurable Technol. Syst. 10(4): 25:1-25:22 (2017) - [c133]Augusto Gomez Eguiluz, Iñaki Rañó, Sonya A. Coleman, T. Martin McGinnity:
Reliable object handover through tactile force sensing and effort control in the Shadow Robot hand. ICRA 2017: 372-377 - [c132]Augusto Gomez Eguiluz, Iñaki Rañó, Sonya A. Coleman, T. Martin McGinnity:
Towards robot-human reliable hand-over: Continuous detection of object perturbation force direction. RO-MAN 2017: 510-515 - 2016
- [j76]Yauheniya Shynkevich, T. Martin McGinnity, Sonya A. Coleman, Ammar Belatreche:
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) - [j75]Eduardo A. Gerlein, Thomas Martin McGinnity, Ammar Belatreche, Sonya A. Coleman:
Evaluating machine learning classification for financial trading: An empirical approach. Expert Syst. Appl. 54: 193-207 (2016) - [j74]Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, Thomas Martin McGinnity:
Detecting Wash Trade in Financial Market Using Digraphs and Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2351-2363 (2016) - [c131]Min Jing, Bryan W. Scotney, Sonya A. Coleman, T. Martin McGinnity:
The Application of Social Media Image Analysis to an Emergency Management System. ARES 2016: 805-810 - [c130]Pedro Machado, Alicia Costalago Meruelo, Nikesh Lama, David Ada Adama, Kofi Appiah, T. Martin McGinnity, Alexey Petrushin, Lorenzo Ferrara, Axel W. Blau:
Si elegans: Evaluation of an innovative optical synaptic connectivity method for C. elegans Phototaxis using FPGAs. IJCNN 2016: 185-191 - [c129]Benjamin Wingfield, Sonya A. Coleman, T. Martin McGinnity, Anthony J. Bjourson:
A metagenomic hybrid classifier for paediatric inflammatory bowel disease. IJCNN 2016: 1083-1089 - [c128]Kofi Appiah, Pedro Machado, Alicia Costalago Meruelo, T. Martin McGinnity:
C. elegans behavioural response germane to Hardware modelling. IJCNN 2016: 4743-4750 - [c127]Alicia Costalago Meruelo, Pedro Machado, Kofi Appiah, T. Martin McGinnity:
Challenges in clustering C. elegans neurons using computational approaches. IJCNN 2016: 4775-4781 - [c126]Augusto Gomez Eguiluz, Iñaki Rañó, Sonya A. Coleman, T. Martin McGinnity:
Continuous material identification through tactile sensing. IJCNN 2016: 4955-4961 - [c125]Richard Gault, T. Martin McGinnity, Sonya A. Coleman:
Modelling the generation of tinnitus in a silent environment. IJCNN 2016: 5037-5042 - [c124]Augusto Gomez Eguiluz, Iñaki Rañó, Sonya A. Coleman, T. Martin McGinnity:
A multi-modal approach to continuous material identification through tactile sensing. IROS 2016: 4912-4917 - 2015
- [j73]Xingfeng Li, Elizabeth G. Kehoe, Thomas Martin McGinnity, Damien Coyle, Arun L. W. Bokde:
Modulation of Effective Connectivity in the Default Mode Network at Rest and During a Memory Task. Brain Connect. 5(1): 60-67 (2015) - [j72]Mauro Dragone, Giuseppe Amato, Davide Bacciu, Stefano Chessa, Sonya A. Coleman, Maurizio Di Rocco, Claudio Gallicchio, Claudio Gennaro, Héctor Lozano Peiteado, Liam P. Maguire, T. Martin McGinnity, Alessio Micheli, Gregory M. P. O'Hare, Arantxa Rentería, Alessandro Saffiotti, Claudio Vairo, Philip J. Vance:
A cognitive robotic ecology approach to self-configuring and evolving AAL systems. Eng. Appl. Artif. Intell. 45: 269-280 (2015) - [j71]Dermot Kerr, T. Martin McGinnity, Sonya A. Coleman, Marine Clogenson:
A biologically inspired spiking model of visual processing for image feature detection. Neurocomputing 158: 268-280 (2015) - [j70]Vaibhav Gandhi, Girijesh Prasad, Damien Coyle, Laxmidhar Behera, Thomas Martin McGinnity:
Evaluating Quantum Neural Network filtered motor imagery brain-computer interface using multiple classification techniques. Neurocomputing 170: 161-167 (2015) - [j69]Gautham P. Das, Thomas Martin McGinnity, Sonya A. Coleman, Laxmidhar Behera:
A Distributed Task Allocation Algorithm for a Multi-Robot System in Healthcare Facilities. J. Intell. Robotic Syst. 80(1): 33-58 (2015) - [j68]Giuseppe Amato, Davide Bacciu, Mathias Broxvall, Stefano Chessa, Sonya A. Coleman, Maurizio Di Rocco, Mauro Dragone, Claudio Gallicchio, Claudio Gennaro, Héctor Lozano Peiteado, T. Martin McGinnity, Alessio Micheli, Anjan Kumar Ray, Arantxa Rentería, Alessandro Saffiotti, David Swords, Claudio Vairo, Philip J. Vance:
Robotic Ubiquitous Cognitive Ecology for Smart Homes. J. Intell. Robotic Syst. 80(Supplement-1): 57-81 (2015) - [j67]Yiannis Gatsoulis, T. Martin McGinnity:
Intrinsically motivated learning systems based on biologically-inspired novelty detection. Robotics Auton. Syst. 68: 12-20 (2015) - [j66]Min Jing, T. Martin McGinnity, Sonya A. Coleman, Armin Fuchs, J. A. Scott Kelso:
Temporal Changes of Diffusion Patterns in Mild Traumatic Brain Injury via Group-Based Semi-blind Source Separation. IEEE J. Biomed. Health Informatics 19(4): 1459-1471 (2015) - [j65]Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, Thomas Martin McGinnity:
Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection. IEEE Trans. Neural Networks Learn. Syst. 26(2): 318-330 (2015) - [c123]Min Jing, Sonya A. Coleman, Bryan W. Scotney, T. Martin McGinnity:
Biologically motivated spiral architecture for fast video processing. ICIP 2015: 2040-2044 - [c122]Jinling Wang, Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity:
SpikeComp: An Evolving Spiking Neural Network with Adaptive Compact Structure for Pattern Classification. ICONIP (2) 2015: 259-267 - [c121]Emmett Kerr, T. Martin McGinnity, Sonya A. Coleman, Andrea Shepherd:
Towards pulse detection and rhythm analysis using a biomimetic fingertip. IJCNN 2015: 1-8 - [c120]Pedro Machado, Kofi Appiah, T. Martin McGinnity, John J. Wade:
Si elegans: Hardware architecture and communications protocol. IJCNN 2015: 1-8 - [c119]Scott McDonald, Dermot Kerr, Sonya A. Coleman, Philip J. Vance, T. Martin McGinnity:
Modelling retinal ganglion cells using self-organising fuzzy neural networks. IJCNN 2015: 1-8 - [c118]Yauheniya Shynkevich, T. Martin McGinnity, Sonya A. Coleman, Ammar Belatreche:
Stock price prediction based on stock-specific and sub-industry-specific news articles. IJCNN 2015: 1-8 - [c117]Philip J. Vance, Sonya A. Coleman, Dermot Kerr, Gautham P. Das, T. Martin McGinnity:
Modelling of a retinal ganglion cell with simple spiking models. IJCNN 2015: 1-8 - [c116]Jinling Wang, Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity:
Dynamically Evolving Spiking Neural network for pattern recognition. IJCNN 2015: 1-8 - [c115]Min Jing, Bryan W. Scotney, Sonya A. Coleman, T. Martin McGinnity:
A novel spiral addressing scheme for rectangular images. MVA 2015: 102-105 - [c114]Alicia Costalago Meruelo, Pedro Machado, Kofi Appiah, T. Martin McGinnity:
Si elegans: A Computational Model of C. elegans Muscle Response to Light. NEUROTECHNIX 2015: 121-126 - [c113]Yauheniya Shynkevich, T. Martin McGinnity, Sonya A. Coleman, Ammar Belatreche:
Predicting Stock Price Movements Based on Different Categories of News Articles. SSCI 2015: 703-710 - [c112]Fan Sun, Ammar Belatreche, Sonya A. Coleman, Thomas Martin McGinnity, Yuhua Li:
Sentiment Classification in the Financial Domain Using? SVM and Multi-Objective Optimisation. SSCI 2015: 910-916 - 2014
- [j64]Jinling Wang, Ammar Belatreche, Liam P. Maguire, Thomas Martin McGinnity:
An online supervised learning method for spiking neural networks with adaptive structure. Neurocomputing 144: 526-536 (2014) - [j63]Hongmei He, Thomas Martin McGinnity, Sonya A. Coleman, Bryan Gardiner:
Linguistic Decision Making for Robot Route Learning. IEEE Trans. Neural Networks Learn. Syst. 25(1): 203-215 (2014) - [j62]Vaibhav Gandhi, Girijesh Prasad, Damien Coyle, Laxmidhar Behera, Thomas Martin McGinnity:
Quantum Neural Network-Based EEG Filtering for a Brain-Computer Interface. IEEE Trans. Neural Networks Learn. Syst. 25(2): 278-288 (2014) - [j61]Vaibhav Gandhi, Girijesh Prasad, Damien Coyle, Laxmidhar Behera, Thomas Martin McGinnity:
EEG-Based Mobile Robot Control Through an Adaptive Brain-Robot Interface. IEEE Trans. Syst. Man Cybern. Syst. 44(9): 1278-1285 (2014) - [c111]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 - [c110]Scott McDonald, Sonya A. Coleman, T. Martin McGinnity, Yuhua Li, Ammar Belatreche:
A comparison of forecasting approaches for capital markets. CIFEr 2014: 32-39 - [c109]Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, Thomas Martin McGinnity:
Detecting price manipulation in the financial market. CIFEr 2014: 77-84 - [c108]Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, Thomas Martin McGinnity:
Detecting wash trade in the financial market. CIFEr 2014: 85-91 - [c107]Fan Sun, Ammar Belatreche, Sonya A. Coleman, T. Martin McGinnity, Yuhua Li:
Pre-processing online financial text for sentiment classification: A natural language processing approach. CIFEr 2014: 122-129 - [c106]Eduardo A. Gerlein, T. Martin McGinnity, Ammar Belatreche, Sonya A. Coleman, Yuhua Li:
Multi-agent pre-trade analysis acceleration in FPGA. CIFEr 2014: 262-269 - [c105]Yauheniya Shynkevich, T. Martin McGinnity, Sonya A. Coleman, Yuhua Li, Ammar Belatreche:
Forecasting stock price directional movements using technical indicators: Investigating window size effects on one-step-ahead forecasting. CIFEr 2014: 341-348 - [c104]Emmett Kerr, T. Martin McGinnity, Sonya A. Coleman:
Material classification based on thermal and surface texture properties evaluated against human performance. ICARCV 2014: 444-449 - [c103]Dermot Kerr, T. Martin McGinnity, Sonya A. Coleman:
Modelling and Analysis of Retinal Ganglion Cells Through System Identification. IJCCI (NCTA) 2014: 158-164 - [c102]Axel W. Blau, Frank Callaly, Seamus Cawley, Aedan Coffey, Alessandro De Mauro, Gorka Epelde, Lorenzo Ferrara, Finn Krewer, Carlo Liberale, Pedro Machado, Gregory Maclair, Thomas Martin McGinnity, Fearghal Morgan, Andoni Mujika, Alessandro Petrushin, Gautier Robin, John J. Wade:
The Si elegans Project - The Challenges and Prospects of Emulating Caenorhabditis elegans. Living Machines 2014: 436-438 - [c101]Pedro Machado, John J. Wade, T. Martin McGinnity:
Si elegans: FPGA hardware emulation of C. elegans nematode nervous system. NaBIC 2014: 65-71 - [c100]Pedro Machado, John J. Wade, T. Martin McGinnity:
Si elegans - Computational Modelling of C. elegans Nematode Nervous System using FPGAs. NEUROTECHNIX 2014: 169-176 - [c99]Axel W. Blau, Frank Callaly, Seamus Cawley, Aedan Coffey, Alessandro De Mauro, Gorka Epelde, Lorenzo Ferrara, Finn Krewer, Carlo Liberale, Pedro Machado, Gregory Maclair, Thomas Martin McGinnity, Fearghal Morgan, Andoni Mujika, Alexey Petrushin, Gautier Robin, John J. Wade:
Exploring Neural Principles with Si elegans, a Neuromimetic Representation of the Nematode Caenorhabditis elegans. NEUROTECHNIX 2014: 189-194 - [c98]Gautham P. Das, Thomas Martin McGinnity, Sonya A. Coleman:
Simultaneous allocations of multiple tightly-coupled multi-robot tasks to coalitions of heterogeneous robots. ROBIO 2014: 1198-1204 - [c97]Philip J. Vance, Gautham P. Das, Thomas Martin McGinnity, Sonya A. Coleman, Liam P. Maguire:
Novelty detection in user behavioural models within ambient assisted living applications: An experimental evaluation. ROBIO 2014: 1868-1873 - 2013
- [j60]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Rongtai Cai, Meigui Chen:
A visual attention model based on hierarchical spiking neural networks. Neurocomputing 116: 3-12 (2013) - [j59]Pawan Goyal, Laxmidhar Behera, T. Martin McGinnity:
A novel neighborhood based document smoothing model for information retrieval. Inf. Retr. 16(3): 391-425 (2013) - [j58]Xingfeng Li, Damien Coyle, Liam P. Maguire, Thomas Martin McGinnity:
A Least Trimmed Square Regression Method for Second Level fMRI Effective Connectivity Analysis. Neuroinformatics 11(1): 105-118 (2013) - [j57]Pawan Goyal, Laxmidhar Behera, Thomas Martin McGinnity:
A Context-Based Word Indexing Model for Document Summarization. IEEE Trans. Knowl. Data Eng. 25(8): 1693-1705 (2013) - [c96]Anjan Kumar Ray, Gang Leng, T. Martin McGinnity, Sonya A. Coleman, Liam P. Maguire:
Dynamically Reconfigurable Online Self-organising Fuzzy Neural Network with Variable Number of Inputs for Smart Home Application. IJCCI 2013: 507-514 - [c95]Vaibhav Gandhi, Thomas Martin McGinnity:
Quantum neural network based surface EMG signal filtering for control of robotic hand. IJCNN 2013: 1-7 - [c94]Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Marine Clogenson:
Biologically inspired intensity and range image feature extraction. IJCNN 2013: 1-8 - [c93]Scott McDonald, Sonya A. Coleman, T. Martin McGinnity, Yuhua Li:
A hybrid forecasting approach using ARIMA models and self-organising fuzzy neural networks for capital markets. IJCNN 2013: 1-7 - [c92]Emmett Kerr, T. Martin McGinnity, Sonya A. Coleman:
Material classification based on thermal properties - A robot and human evaluation. ROBIO 2013: 1048-1053 - [c91]Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, T. Martin McGinnity:
A Hidden Markov Model with Abnormal States for Detecting Stock Price Manipulation. SMC 2013: 3014-3019 - [p3]Ulrich Nehmzow, Yiannis Gatsoulis, Emmett Kerr, Joan Condell, Nazmul H. Siddique, T. Martin McGinnity:
Novelty Detection as an Intrinsic Motivation for Cumulative Learning Robots. Intrinsically Motivated Learning in Natural and Artificial Systems 2013: 185-207 - 2012
- [j56]Indrazno Siradjuddin, T. Martin McGinnity, Sonya A. Coleman, Laxmidhar Behera:
An iterative robot-image Jacobian approximation of image-based visual servoing for joint limit avoidance. Int. J. Mechatronics Autom. 2(4): 227-239 (2012) - [j55]KongFatt Wong-Lin, Alok Joshi, Girijesh Prasad, T. Martin McGinnity:
Network properties of a computational model of the dorsal raphe nucleus. Neural Networks 32: 15-25 (2012) - [j54]Lorenzo Riano, T. Martin McGinnity:
Automatically composing and parameterizing skills by evolving Finite State Automata. Robotics Auton. Syst. 60(4): 639-650 (2012) - [j53]Bryan Gardiner, Sonya A. Coleman, T. Martin McGinnity, Hongmei He:
Robot control code generation by task demonstration in a dynamic environment. Robotics Auton. Syst. 60(12): 1508-1519 (2012) - [j52]Min Jing, T. Martin McGinnity, Sonya A. Coleman, Huaizhong Zhang, Armin Fuchs, J. A. Scott Kelso:
Enhancement of Fiber Orientation Distribution Reconstruction in Diffusion-Weighted Imaging by Single Channel Blind Source Separation. IEEE Trans. Biomed. Eng. 59(2): 363-373 (2012) - [j51]Sivalogeswaran Ratnasingam, T. Martin McGinnity:
Chromaticity Space for Illuminant Invariant Recognition. IEEE Trans. Image Process. 21(8): 3612-3623 (2012) - [j50]Pawan Goyal, Laxmidhar Behera, Thomas Martin McGinnity:
Query Representation through Lexical Association for Information Retrieval. IEEE Trans. Knowl. Data Eng. 24(12): 2260-2273 (2012) - [j49]Julie A. Wall, Liam McDaid, Liam P. Maguire, Thomas Martin McGinnity:
Spiking Neural Network Model of Sound Localization Using the Interaural Intensity Difference. IEEE Trans. Neural Networks Learn. Syst. 23(4): 574-586 (2012) - [c90]Lorenzo Riano, T. Martin McGinnity:
Autonomous Skills Creation and Integration in Robotics. AAAI Spring Symposium: Designing Intelligent Robots 2012 - [c89]Lorenzo Riano, T. Martin McGinnity:
A robot that autonomously improves skills by evolving computational graphs. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c88]Dermot Kerr, Sonya A. Coleman, Thomas Martin McGinnity, Qingxiang Wu, Marine Clogenson:
A novel approach to robot vision using a hexagonal grid and spiking neural networks. IJCNN 2012: 1-7 - [c87]Indrazno Siradjuddin, Laxmidhar Behera, Thomas Martin McGinnity, Sonya A. Coleman:
A position based visual tracking system for a 7 DOF robot manipulator using a Kinect camera. IJCNN 2012: 1-7 - [c86]Giuseppe Amato, Mathias Broxvall, Stefano Chessa, Mauro Dragone, Claudio Gennaro, Rafa López, Liam P. Maguire, T. Martin McGinnity, Alessio Micheli, Arantxa Rentería, Gregory M. P. O'Hare, Federico Pecora:
Robotic UBIquitous COgnitive Network. ISAmI 2012: 191-195 - [c85]Muhammad Naeem, T. Martin McGinnity, David R. Watson, KongFatt Wong-Lin, Girijesh Prasad, J. A. Scott Kelso:
Inter-brain Mutual Information in Social Interaction Tasks. PRNI 2012: 25-28 - [c84]Yiannis Gatsoulis, Christopher Burbridge, T. Martin McGinnity:
Biologically inspired intrinsically motivated learning for service robots based on novelty detection and habituation. ROBIO 2012: 464-469 - [c83]Yiannis Gatsoulis, Indrazno Siradjuddin, T. Martin McGinnity:
Primitive action learning using fuzzy neural networks. ROBIO 2012: 1513-1517 - [c82]Anjan Kumar Ray, Gang Leng, T. Martin McGinnity, Sonya A. Coleman, Liam P. Maguire:
Development of Cognitive Capabilities for Smart Home Using a Self-Organizing Fuzzy Neural Network. SyRoCo 2012: 447-454 - 2011
- [j48]Lorenzo Riano, T. Martin McGinnity:
Quantifying the role of complexity in a system's performance. Evol. Syst. 2(3): 189-198 (2011) - [j47]Shufan Yang, T. Martin McGinnity:
A biologically plausible real-time spiking neuron simulation environment based on a multiple-FPGA platform. SIGARCH Comput. Archit. News 39(4): 78-81 (2011) - [j46]Xingfeng Li, Damien Coyle, Liam P. Maguire, Thomas Martin McGinnity, Habib Benali:
A Model Selection Method for Nonlinear System Identification Based fMRI Effective Connectivity Analysis. IEEE Trans. Medical Imaging 30(7): 1365-1380 (2011) - [c81]Damien Coyle, Jhonatan Garcia, Abdul Rehman Satti, T. Martin McGinnity:
EEG-based continuous control of a game using a 3 channel motor imagery BCI: BCI game. CCMB 2011: 88-94 - [c80]Damien Coyle, Girijesh Prasad, T. Martin McGinnity:
A self-organising fuzzy neural network with locally recurrent self-adaptive synapses. EAIS 2011: 1-8 - [c79]Alok Joshi, KongFatt Wong-Lin, T. Martin McGinnity, Girijesh Prasad:
A mathematical model to explore the interdependence between the serotonin and orexin/hypocretin systems. EMBC 2011: 7270-7273 - [c78]Feng Zhao, T. Martin McGinnity:
A Low-Cost Real-Time Three-Dimensional Confocal Fluorescence Endomicroscopy Imaging System. HISB 2011: 126-133 - [c77]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Rongtai Cai, Meigui Chen:
Simulation of Visual Attention Using Hierarchical Spiking Neural Networks. ICIC (3) 2011: 26-31 - [c76]Jinling Wang, Ammar Belatreche, Liam P. Maguire, Thomas Martin McGinnity:
A New Learning Algorithm for Adaptive Spiking Neural Networks. ICONIP (1) 2011: 461-468 - [c75]Dermot Kerr, T. Martin McGinnity, Sonya A. Coleman, Qingxiang Wu, Marine Clogenson:
Spiking Hierarchical Neural Network for Corner Detection. IJCCI (NCTA) 2011: 230-235 - [c74]Marine Clogenson, Dermot Kerr, T. Martin McGinnity, Sonya A. Coleman, Qingxiang Wu:
Biologically Inspired Edge Detection using Spiking Neural Networks and Hexagonal Images. IJCCI (NCTA) 2011: 381-384 - [c73]Sivalogeswaran Ratnasingam, T. Martin McGinnity:
A spiking neural network for tactile form based object recognition. IJCNN 2011: 880-885 - [c72]Vaibhav Gandhi, Vipul Arora, Laxmidhar Behera, Girijesh Prasad, Damien Coyle, T. Martin McGinnity:
EEG denoising with a recurrent quantum neural network for a brain-computer interface. IJCNN 2011: 1583-1590 - [c71]KongFatt Wong-Lin, Girijesh Prasad, T. Martin McGinnity:
A spiking neuronal network model of the dorsal raphe nucleus. IJCNN 2011: 1591-1598 - [c70]Julie A. Wall, T. Martin McGinnity, Liam P. Maguire:
A comparison of sound localisation techniques using cross-correlation and spiking neural networks for mobile robotics. IJCNN 2011: 1981-1987 - [c69]Sivalogeswaran Ratnasingam, Thomas Martin McGinnity:
A comparison of encoding schemes for haptic object recognition using a biologically plausible spiking neural network. IROS 2011: 3446-3453 - [c68]Gautham P. Das, T. Martin McGinnity, Sonya A. Coleman, Laxmidhar Behera:
A fast distributed auction and consensus process using parallel task allocation and execution. IROS 2011: 4716-4721 - [c67]Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Qingxiang Wu, Marine Clogenson:
Biologically inspired edge detection. ISDA 2011: 802-807 - [c66]Sivalogeswaran Ratnasingam, T. Martin McGinnity:
Object recognition based on tactile form perception. RiiSS 2011: 26-31 - [c65]Yiannis Gatsoulis, Christopher Burbridge, T. Martin McGinnity:
Online unsupervised cumulative learning for life-long robot operation. ROBIO 2011: 2486-2490 - [c64]Anjan Kumar Ray, T. Martin McGinnity, Laxmidhar Behera, Sonya A. Coleman, Mohammad Jamshidi:
Coordinated traffic scheduling for communicating mobile robots. SoSE 2011: 323-328 - 2010
- [j45]Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity, Liam McDaid, Arfan Ghani:
Computing with Biologically Inspired Neural Oscillators: Application to Colour Image Segmentation. Adv. Artif. Intell. 2010: 405073:1-405073:21 (2010) - [j44]Damien Coyle, T. Martin McGinnity, Girijesh Prasad:
Improving the separability of multiple EEG features for a BCI by neural-time-series-prediction-preprocessing. Biomed. Signal Process. Control. 5(3): 196-204 (2010) - [j43]Brendan P. Glackin, Julie A. Wall, Thomas Martin McGinnity, Liam P. Maguire, Liam McDaid:
A Spiking Neural Network Model of the Medial Superior Olive Using Spike Timing Dependent Plasticity for Sound Localization. Frontiers Comput. Neurosci. 4: 18 (2010) - [j42]Simon Johnston, Girijesh Prasad, Liam P. Maguire, T. Martin McGinnity:
An FPGA Hardware/Software Co-Design towards Evolvable Spiking Neural Networks for Robotics Application. Int. J. Neural Syst. 20(6): 447-461 (2010) - [j41]Thomas J. Strain, L. J. McDaid, T. Martin McGinnity, Liam P. Maguire, Heather M. Sayers:
An STDP Training Algorithm for a Spiking Neural Network with Dynamic Threshold Neurons. Int. J. Neural Syst. 20(6): 463-480 (2010) - [j40]Xingfeng Li, Damien Coyle, Liam P. Maguire, Thomas Martin McGinnity, David R. Watson, Habib Benali:
A least angle regression method for fMRI activation detection in phase-encoded experimental designs. NeuroImage 52(4): 1390-1400 (2010) - [j39]Swagat Kumar, Laxmidhar Behera, T. Martin McGinnity:
Kinematic control of a redundant manipulator using an inverse-forward adaptive scheme with a KSOM based hint generator. Robotics Auton. Syst. 58(5): 622-633 (2010) - [c63]Lorenzo Riano, Thomas Martin McGinnity:
On the Emergence of Novel Behaviours From Complex Non Linear Systems. BICA 2010: 106-112 - [c62]Lorenzo Riano, T. Martin McGinnity:
Emergent Behaviours Driven by Chaotic Dynamics. EST 2010: 159-164 - [c61]Indrazno Siradjuddin, Laxmidhar Behera, T. Martin McGinnity, Sonya A. Coleman:
Image Based Visual Servoing of a 7 DOF robot manipulator using a distributed fuzzy proportional controller. FUZZ-IEEE 2010: 1-8 - [c60]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, German D. Valderrama-Gonzalez, Patrick Dempster:
Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System. ICIC (1) 2010: 49-57 - [c59]Patrick Dempster, Thomas Martin McGinnity, Brendan P. Glackin, Qingxiang Wu:
Performance Comparison of a Biologically Inspired Edge Detection Algorithm on CPU, GPU and FPGA. IJCCI (ICFC-ICNC) 2010: 420-424 - [c58]Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity, Arfan Ghani, Liam McDaid:
Application of biologically inspired neural oscillators to colour image segmentation. IJCNN 2010: 1-8 - [c57]Damien Coyle, Girijesh Prasad, T. Martin McGinnity:
On utilizing self-organizing fuzzy neural networks for financial forecasts in the NN5 forecasting competition. IJCNN 2010: 1-8 - [c56]Damien Coyle, Abdul Rehman Satti, T. Martin McGinnity:
Predictive-spectral-spatial preprocessing for a multiclass brain-computer interface. IJCNN 2010: 1-8 - [c55]H. Z. Zhang, T. Martin McGinnity, Sonya A. Coleman, Min Jing:
A Novel Criterion for Characterizing Diffusion Anisotropy in HARDI Data Based on the MDL Technique. ICMB 2010: 413-422 - [e1]De-Shuang Huang, T. Martin McGinnity, Laurent Heutte, Xiao-Ping (Steven) Zhang:
Advanced Intelligent Computing Theories and Applications - 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings. Communications in Computer and Information Science 93, Springer 2010, ISBN 978-3-642-14830-9 [contents]
2000 – 2009
- 2009
- [j38]Xicai Yue, Emmanuel M. Drakakis, Jim Harkin, Michael J. Callaghan, T. Martin McGinnity, Liam P. Maguire:
Modular hardware design for distant-internet embedded systems engineering laboratory. Comput. Appl. Eng. Educ. 17(4): 389-397 (2009) - [j37]Damien Coyle, Girijesh Prasad, T. Martin McGinnity:
Faster Self-Organizing Fuzzy Neural Network Training and a Hyperparameter Analysis for a Brain-Computer Interface. IEEE Trans. Syst. Man Cybern. Part B 39(6): 1458-1471 (2009) - [c54]Brendan P. Glackin, Jim Harkin, T. Martin McGinnity, Liam P. Maguire:
A Hardware Accelerated Simulation Environment for Spiking Neural Networks. ARC 2009: 336-341 - [c53]Brendan P. Glackin, Jim Harkin, T. Martin McGinnity, Liam P. Maguire, Qingxiang Wu:
Emulating Spiking Neural Networks for edge detection on FPGA hardware. FPL 2009: 670-673 - [c52]Pawan Goyal, Laxmidhar Behera, T. Martin McGinnity:
Entailment of Causal Queries in Narratives using Action Language. KDIR 2009: 112-118 - [c51]German D. Valderrama-Gonzalez, T. Martin McGinnity, Liam P. Maguire, Qingxiang Wu:
Review of Neuron Types in the Retina: Information Models for Neuroengineering. ICANN (1) 2009: 335-344 - [c50]Michael F. Mc Bride, T. Martin McGinnity, Liam P. Maguire:
Robospike Sensory Processing for a Mobile Robot Using Spiking Neural Networks. ICANN (2) 2009: 794-803 - [c49]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Arfan Ghani, Joan Condell:
Spiking Neural Network Performs Discrete Cosine Transform for Visual Images. ICIC (2) 2009: 21-29 - [c48]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, German D. Valderrama-Gonzalez, Jianyong Cai:
Detection of Straight Lines Using a Spiking Neural Network Model. ICNC (2) 2009: 385-389 - [c47]Pawan Goyal, Laxmidhar Behera, T. Martin McGinnity:
An Information Retrieval Model Based on Automatically Learnt Concept Hierarchies. ICSC 2009: 458-465 - [r2]Carlos Herrera Pérez, Tom Ziemke, Thomas Martin McGinnity:
A Robot Model of Dynamic Appraisal and Response. Encyclopedia of Artificial Intelligence 2009: 1376-1382 - [r1]Qingxiang Wu, T. Martin McGinnity, Girijesh Prasad, David A. Bell:
Knowledge Discovery in Databases with Diversity of Data Types. Encyclopedia of Data Warehousing and Mining 2009: 1117-1123 - 2008
- [j36]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin:
Processing visual stimuli using hierarchical spiking neural networks. Neurocomputing 71(10-12): 2055-2068 (2008) - [j35]Bridget Meehan, Girijesh Prasad, T. Martin McGinnity:
An Application Directed Adaptive Framework for Autonomic Software. J. Softw. 3(7): 30-41 (2008) - [j34]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin:
2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism. Neural Networks 21(9): 1318-1327 (2008) - [j33]Michael J. Callaghan, Jim Harkin, Thomas Martin McGinnity, Liam P. Maguire:
Intelligent User Support in Autonomous Remote Experimentation Environments. IEEE Trans. Ind. Electron. 55(6): 2355-2367 (2008) - [c46]Arfan Ghani, T. Martin McGinnity, Liam P. Maguire, Jim Harkin:
Neuro-inspired Speech Recognition with Recurrent Spiking Neurons. ICANN (1) 2008: 513-522 - [c45]Peter M. Kelly, Liam McDaid, Fergal Tuffy, T. Martin McGinnity:
A time multiplexed architecture for neural networks using quantum devices. ICECS 2008: 514-517 - [c44]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Jianyong Cai, German D. Valderrama-Gonzalez:
Motion Detection Using Spiking Neural Network Model. ICIC (2) 2008: 76-83 - [c43]Julie A. Wall, Liam McDaid, Liam P. Maguire, T. Martin McGinnity:
Spiking neuron models of the medial and lateral superior olive for sound localisation. IJCNN 2008: 2641-2647 - [c42]Damien Coyle, T. Martin McGinnity, Girijesh Prasad:
A multi-class brain-computer interface with SOFNN-based prediction preprocessing. IJCNN 2008: 3696-3703 - [c41]Valeriu Beiu, Basheer A. M. Madappuram, T. Martin McGinnity:
On brain-inspired hybrid topologies for nano-architectures - a Rent's rule approach -. ICSAMOS 2008: 33-40 - [c40]Pawel Andrzej Herman, Girijesh Prasad, Thomas Martin McGinnity:
Designing a robust type-2 fuzzy logic classifier for non-stationary systems with application in brain-computer interfacing. SMC 2008: 1343-1349 - [i1]Arfan Ghani, T. Martin McGinnity, Liam P. Maguire, Jim Harkin:
Hardware/Software Co-Design for Spike Based Recognition. CoRR abs/0807.2282 (2008) - 2007
- [j32]Jim Harkin, Michael J. Callaghan, Mehdi El-Gueddari, Malachy McElholm, T. Martin McGinnity, Liam P. Maguire:
Extending Remote Experimentation Environments to Support Visual and Audio Impaired Users. Int. J. Online Eng. 3(3) (2007) - [j31]Michael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire:
Paradigms in Remote Experimentation. Int. J. Online Eng. 3(4) (2007) - [j30]Liam P. Maguire, T. Martin McGinnity, Brendan P. Glackin, Arfan Ghani, Ammar Belatreche, Jim Harkin:
Challenges for large-scale implementations of spiking neural networks on FPGAs. Neurocomputing 71(1-3): 13-29 (2007) - [j29]Fergal Tuffy, L. J. McDaid, Vunfu Wong Kwan, John Alderman, T. Martin McGinnity, Jose A. Santos, Peter M. Kelly, Heather M. Sayers:
Inter-neuron communication strategies for spiking neural networks. Neurocomputing 71(1-3): 30-44 (2007) - [j28]Michael J. Callaghan, Jim Harkin, E. McColgan, T. Martin McGinnity, Liam P. Maguire:
Client-server architecture for collaborative remote experimentation. J. Netw. Comput. Appl. 30(4): 1295-1308 (2007) - [j27]Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity:
Advances in Design and Application of Spiking Neural Networks. Soft Comput. 11(3): 239-248 (2007) - [j26]Qingxiang Wu, David A. Bell, Girijesh Prasad, T. Martin McGinnity:
A Distribution-Index-Based Discretizer for Decision-Making with Symbolic AI Approaches. IEEE Trans. Knowl. Data Eng. 19(1): 17-28 (2007) - [c39]Pawel Andrzej Herman, Girijesh Prasad, T. Martin McGinnity:
Support Vector-Enhanced Design of a T2FL Approach to Motor Imagery-Related EEG Pattern Recognition. FUZZ-IEEE 2007: 1-6 - [c38]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin:
Edge Detection Based on Spiking Neural Network Model. ICIC (2) 2007: 26-34 - [c37]Bridget Meehan, Girijesh Prasad, T. Martin McGinnity:
A framework for autonomic software. SMC 2007: 777-782 - [p2]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Brendan P. Glackin, Ammar Belatreche:
Learning Mechanisms in Networks of Spiking Neurons. Trends in Neural Computation 2007: 171-197 - 2006
- [j25]Michael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire:
Client-Server Architecture for Remote Experimentation for Embedded Systems. Int. J. Online Eng. 2(4) (2006) - [j24]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Brendan P. Glackin, Ammar Belatreche:
Learning under weight constraints in networks of temporal encoding spiking neurons. Neurocomputing 69(16-18): 1912-1922 (2006) - [j23]Gang Leng, Girijesh Prasad, T. Martin McGinnity:
Erratum to "An on-line algorithm for creating self-organizing fuzzy neural networks" [Neural Networks 17(10)(2004)1477-1493]. Neural Networks 19(6-7): 974 (2006) - [j22]Gang Leng, T. Martin McGinnity, Girijesh Prasad:
Design for Self-Organizing Fuzzy Neural Networks Based on Genetic Algorithms. IEEE Trans. Fuzzy Syst. 14(6): 755-766 (2006) - [j21]Qingxiang Wu, T. Martin McGinnity, David A. Bell, Girijesh Prasad:
A Self-Organizing Computing Network for Decision-Making in Data Sets with a Diversity of Data Types. IEEE Trans. Knowl. Data Eng. 18(7): 941-953 (2006) - [c36]Damien Coyle, Thomas Martin McGinnity, Girijesh Prasad:
Creating a Nonparametric Brain-Computer Interface with Neural Time-Series Prediction Preprocessing. EMBC 2006: 2183-2186 - [c35]Qingxiang Wu, T. Martin McGinnity, Girijesh Prasad, David A. Bell, Brendan P. Glackin:
Multi-knowledge Approach for Mobile Robot Identification of a Changing Environment. EUROS 2006: 171-180 - [c34]Arfan Ghani, T. Martin McGinnity, Liam P. Maguire, Jim Harkin:
Area Efficient Architecture for Large Scale Implementation of Biologically Plausible Spiking Neural Networks on Reconfigurable Hardware. FPL 2006: 1-2 - [c33]Qingxiang Wu, David A. Bell, T. Martin McGinnity, Girijesh Prasad, Guilin Qi, Xi Huang:
Improvement of Decision Accuracy Using Discretization of Continuous Attributes. FSKD 2006: 674-683 - [c32]Damien Coyle, Girijesh Prasad, Thomas Martin McGinnity:
Enhancing Autonomy and Computational Efficiency of the Self-Organizing Fuzzy Neural Network for a Brain Computer Interface. FUZZ-IEEE 2006: 2270-2277 - [c31]Fergal Tuffy, Liam McDaid, T. Martin McGinnity, Jose Santos, Peter M. Kelly, Vunfu Wong Kwan, John Alderman:
A Time Multiplexing Architecture for Inter-neuron Communications. ICANN (1) 2006: 944-952 - [c30]Fergal Tuffy, Liam McDaid, Vunfu Wong Kwan, John Alderman, T. Martin McGinnity, Peter M. Kelly, Jose A. Santos:
Inter-Neuron Communications for Large-Scale Neural Networks using Capacitive Coupling. IJCNN 2006: 2779-2784 - [c29]Thomas J. Strain, Liam McDaid, Liam P. Maguire, T. Martin McGinnity:
A Supervised STDP Based Training Algorithm with Dynamic Threshold Neurons. IJCNN 2006: 3409-3414 - [c28]Qingxiang Wu, Jianyong Cai, Girijesh Prasad, T. Martin McGinnity, David A. Bell, Jiwen Guan:
A Novel Discretizer for Knowledge Discovery Approaches Based on Rough Sets. RSKT 2006: 241-246 - 2005
- [j20]Damien Coyle, Girijesh Prasad, T. Martin McGinnity:
A Time-Frequency Approach to Feature Extraction for a Brain-Computer Interface with a Comparative Analysis of Performance Measures. EURASIP J. Adv. Signal Process. 2005(19): 3141-3151 (2005) - [j19]Gang Leng, T. Martin McGinnity, Girijesh Prasad:
An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network. Fuzzy Sets Syst. 150(2): 211-243 (2005) - [j18]Qingxiang Wu, David A. Bell, T. Martin McGinnity:
Multiknowledge for decision making. Knowl. Inf. Syst. 7(2): 246-266 (2005) - [c27]Peter M. Kelly, T. Martin McGinnity, Liam P. Maguire:
Reducing Interconnection Resource Overhead in Nano-scale FPGAs through MVL Signal Systems. ASAP 2005: 282-287 - [c26]K. M. Ward, Mia Nazmul Haque Siddique, Liam P. Maguire, T. Martin McGinnity:
A symbiosis algorithm for robotic control. Congress on Evolutionary Computation 2005: 1988-1995 - [c25]Simon Johnston, Girijesh Prasad, Liam P. Maguire, T. Martin McGinnity:
Comparative Investigation into Classical and Spiking Neuron Implementations on FPGAs. ICANN (1) 2005: 269-274 - [c24]Jim Harkin, Michael J. Callaghan, T. Martin McGinnity, Liam P. Maguire:
Intelligent User-Support in Learning Environments for Remote Experimentation. ICITA (2) 2005: 119-124 - [c23]Michael J. Callaghan, Jim Harkin, Mehdi El-Gueddari, T. Martin McGinnity, Liam P. Maguire:
Client-Server Architecture for Collaborative Remote Experimentation. ICITA (2) 2005: 125-129 - [c22]Michael J. Callaghan, T. Martin McGinnity, Liam McDaid:
Evolving Task Specific Algorithms for Machine Vision Applications. ICITA (1) 2005: 371-374 - [c21]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin:
Adaptive Co-ordinate Transformation Based on a Spike Timing-Dependent Plasticity Learning Paradigm. ICNC (1) 2005: 420-428 - [c20]Brendan P. Glackin, T. Martin McGinnity, Liam P. Maguire, Qingxiang Wu, Ammar Belatreche:
A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware. IWANN 2005: 552-563 - [c19]Peter M. Kelly, T. Martin McGinnity, Liam P. Maguire, L. J. McDaid:
A Quaternary CLB Design Using Quantum Device Technology on Silicon for FPGA Neural Network Architectures. IWANN 2005: 564-571 - [c18]Qingxiang Wu, T. Martin McGinnity, Girijesh Prasad, David A. Bell:
Evolving learning mechanism for a general computing network model. SMC 2005: 1914-1919 - [p1]Qingxiang Wu, David A. Bell, T. Martin McGinnity, Gongde Guo:
Decision Making Based on Hybrid of Multi-Knowledge and Naïve Bayes Classifier. Foundations of Data Mining and knowledge Discovery 2005: 171-184 - 2004
- [j17]Eamomn A. Coyle, Liam P. Maguire, T. Martin McGinnity:
Self-repair of embedded systems. Eng. Appl. Artif. Intell. 17(1): 1-9 (2004) - [j16]C. T. Carr, T. Martin McGinnity, L. J. McDaid:
Integration of UML and VHDL-AMS for analogue system modelling. Formal Aspects Comput. 16(1): 80-94 (2004) - [j15]Brendan P. Glackin, Liam P. Maguire, T. Martin McGinnity:
Intrinsic and extrinsic implementation of a bio-inspired hardware system. Inf. Sci. 161(1-2): 1-19 (2004) - [j14]Gang Leng, Girijesh Prasad, T. Martin McGinnity:
An on-line algorithm for creating self-organizing fuzzy neural networks. Neural Networks 17(10): 1477-1493 (2004) - [j13]Jim Harkin, T. Martin McGinnity, Liam P. Maguire:
Modeling and optimizing run-time reconfiguration using evolutionary computation. ACM Trans. Embed. Comput. Syst. 3(4): 661-685 (2004) - [c17]C. T. Carr, T. Martin McGinnity, L. J. McDaid:
VHDL-AMS code gneration from UML structural representations. FDL 2004: 12-25 - [c16]Michael J. Callaghan, T. Martin McGinnity, L. J. McDaid:
Third order loose coupled hybrid intelligent system for machine vision applications. SMC (4) 2004: 3680-3685 - [c15]Michael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire:
Cost effectiveness issues in remote experimentation. SMC (5) 2004: 4700-4704 - [c14]Michael J. Callaghan, Mehdi El-Gueddari, Jim Harkin, T. Martin McGinnity, Liam P. Maguire:
Distributed Architecture for Adaptive Intelligent Environments. Web Intelligence 2004: 728-731 - [c13]Michael J. Callaghan, Mehdi El-Gueddari, Jim Harkin, T. Martin McGinnity, Liam P. Maguire:
Intelligent Remote Experimentation. Web Intelligence 2004: 773-774 - 2003
- [j12]Peter M. Kelly, T. Martin McGinnity, Liam P. Maguire:
Re-Programmable MVL Circuits and Architecture to Enable Evolvable MVL Hardware. J. Multiple Valued Log. Soft Comput. 9(4): 319-342 (2003) - [c12]Jim Harkin, Michael J. Callaghan, Chris Peters, T. Martin McGinnity, Liam P. Maguire:
On-chip and Off-chip Real-Time Debugging for Remotely-Accessed Embedded Programmable Systems. FPL 2003: 1079-1082 - [c11]Peter M. Kelly, C. J. Thompson, T. Martin McGinnity, Liam P. Maguire:
A Binary Multiplier Using RTD Based Threshold Logic Gates. IWANN (2) 2003: 41-48 - [c10]Michael J. Callaghan, Jim Harkin, Chris Peters, T. Martin McGinnity, Liam P. Maguire:
A Collaborative Environment for Remote Experimentation. MSE 2003: 59- - [c9]Gang Leng, Thomas Martin McGinnity, Girijesh Prasad:
A design for a self-organizing fuzzy neural network based on the genetic algorithm. SMC 2003: 1967-1972 - [c8]Michael J. Callaghan, Jim Harkin, Girijesh Prasad, T. Martin McGinnity, Liam P. Maguire:
Integrated architecture for remote experimentation. SMC 2003: 4822-4827 - [c7]Michael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire:
Adaptive Intelligent Environment for Remote Experimentation. Web Intelligence 2003: 680-683 - 2002
- [j11]Eamomn A. Coyle, Liam P. Maguire, T. Martin McGinnity:
Design philosophy for self-repair of electronic systems using the UML. IEE Proc. Softw. 149(6): 179-186 (2002) - [c6]Liam P. Maguire, T. Martin McGinnity, Brendan P. Glackin:
Hybrid Intelligent Architectures using a Neurofuzzy Approach. Advances in Computational Intelligence and Learning 2002: 147-158 - [c5]Peter M. Kelly, C. J. Thompson, T. M. McGinnity, Liam P. Maguire:
Investigation of a programmable threshold logic gate array. ICECS 2002: 673-676 - [c4]Michael J. Callaghan, Jim Harkin, T. M. McGinnity, Liam P. Maguire:
An Internet-based methodology for remotely accessed embedded systems. SMC 2002: 6 - 2001
- [j10]B. Roche, T. Martin McGinnity, Liam P. Maguire, L. J. McDaid:
Signalling techniques and their effect on neural network implementation sizes. Inf. Sci. 132(1-4): 67-82 (2001) - [j9]T. Martin McGinnity, Liam P. Maguire:
A CASE-tool oriented approach for embedded systems design. Microprocess. Microsystems 24(10): 493-499 (2001) - [j8]Jim Harkin, T. Martin McGinnity, Liam P. Maguire:
Genetic algorithm driven hardware-software partitioning for dynamically reconfigurable embedded systems. Microprocess. Microsystems 25(5): 263-274 (2001) - [j7]W. G. Fenton, T. Martin McGinnity, Liam P. Maguire:
Fault diagnosis of electronic systems using intelligent techniques: a review. IEEE Trans. Syst. Man Cybern. Part C 31(3): 269-281 (2001) - [c3]Jim Harkin, T. Martin McGinnity, Liam P. Maguire:
Hardware-Software Partitioning: A Reconfigurable and Evolutionary Computing Approach. FPL 2001: 595-600 - 2000
- [c2]Jim Harkin, T. Martin McGinnity, Liam P. Maguire:
Accelerating Embedded Applications using Dynamically Reconfigurable Hardware and Evolutionary Algorithms. FCCM 2000: 321-322
1990 – 1999
- 1999
- [j6]B. Roche, T. Martin McGinnity, Liam P. Maguire, L. J. McDaid:
Modeling architectures for VLSI Implementations of Fuzzy Logic Systems. Inf. Sci. 115(1-4): 1-9 (1999) - [j5]Liam P. Maguire, Thomas Martin McGinnity, Liam McDaid:
Issues in the development of an integrated environment for embedded system design: Part A: user needs and commercial products. Microprocess. Microsystems 23(4): 191-197 (1999) - [j4]Liam P. Maguire, Thomas Martin McGinnity, Liam McDaid:
Issues in the development of an integrated environment for embedded system design: Part B: design and implementation. Microprocess. Microsystems 23(4): 199-206 (1999) - [c1]Liam P. Maguire, T. Martin McGinnity, L. J. McDaid:
From a Fuzzy Flip-Flop to a MVL Flip-Flop. ISMVL 1999: 294-299 - 1998
- [j3]Liam P. Maguire, B. Roche, T. Martin McGinnity, L. J. McDaid:
Predicting a Chaotic Time Series using Fuzzy Neural network. Inf. Sci. 112(1-4): 125-136 (1998) - [j2]J. J. Blake, Liam P. Maguire, B. Roche, T. Martin McGinnity, L. J. McDaid:
The Implementation of Fuzzy Systems, Neural Networks and Fuzzy Neural Networks using FPGAs. Inf. Sci. 112(1-4): 151-168 (1998) - 1997
- [j1]L. J. McDaid, T. Martin McGinnity, Liam P. Maguire:
Hardware Implementation of a Membership Function Generator for Fuzzy Reasoning. Inf. Sci. 96(1&2): 93-105 (1997)
Coauthor Index
Sonya A. Coleman
aka: Sonya Coleman
aka: Sonya Coleman
[i11] [j97] [c149] [j94] [j91] [j90] [j89] [j88] [j84] [j83] [j82] [c140] [c137] [c136] [c135] [i2] [j81] [j80] [j77] [c133] [c132] [j76] [j75] [j74] [c131] [c129] [c126] [c125] [c124] [j72] [j71] [j69] [j68] [j66] [j65] [c123] [c121] [c119] [c118] [c117] [c115] [c113] [c112] [j63] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c98] [c97] [c96] [c94] [c93] [c92] [c91] [j56] [j53] [j52] [c88] [c87] [c82] [c75] [c74] [c68] [c67] [c64] [c61] [c55]
[j95] [j78] [j72] [c122] [c116] [j64] [c97] [j60] [j58] [c96] [j49] [c86] [c82] [j46] [c77] [c76] [c70] [j45] [j43] [j42] [j41] [j40] [c60] [c58] [j38] [c54] [c53] [c51] [c50] [c49] [c48] [j36] [j34] [j33] [c46] [c44] [c43] [i1] [j32] [j31] [j30] [j28] [j27] [c38] [p2] [j25] [j24] [c34] [c29] [c27] [c26] [c25] [c24] [c23] [c21] [c20] [c19] [j17] [j15] [j13] [c15] [c14] [c13] [j12] [c12] [c11] [c10] [c8] [c7] [j11] [c6] [c5] [c4] [j10] [j9] [j8] [j7] [c3] [c2] [j6] [j5] [j4] [c1] [j3] [j2] [j1]
Liam McDaid
aka: L. J. McDaid
aka: L. J. McDaid
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