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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
- 2021
[j98]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)- [j97]Mufti Mahmud, M. Shamim Kaiser, T. Martin McGinnity, Amir Hussain:
Deep Learning in Mining Biological Data. Cogn. Comput. 13(1): 1-33 (2021) - [j96]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 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
- [j95]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) - [j94]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) - [j93]Richard Gault, Thomas Martin McGinnity, Sonya Coleman:
Perceptual Modeling of Tinnitus Pitch and Loudness. IEEE Trans. Cogn. Dev. Syst. 12(2): 332-343 (2020) - [j92]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 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
- [j91]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) - [j90]Augusto Gomez Eguiluz, Iñaki Rañó, Sonya A. Coleman, T. Martin McGinnity:
Reliable robotic handovers through tactile sensing. Auton. Robots 43(7): 1623-1637 (2019) - [j89]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) - [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 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] - [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]