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T. Martin McGinnity

Thomas Martin McGinnity

2010 – today

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2013
[j54]
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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)
[j53]
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Pawan Goyal, Laxmidhar Behera, T. Martin McGinnity: A novel neighborhood based document smoothing model for information retrieval. Inf. Retr. 16(3): 391-425 (2013)
[j52]
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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)
[j51]
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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)
2012
[j50]
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  - journals/nn/Wong-LinJPM12
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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)
[j49]
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  - journals/ras/RianoM12
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Lorenzo Riano, T. Martin McGinnity: Automatically composing and parameterizing skills by evolving Finite State Automata. Robotics and Autonomous Systems 60(4): 639-650 (2012)
[j48]
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  - journals/ras/GardinerCMH12
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Bryan Gardiner, Sonya A. Coleman, T. Martin McGinnity, H. He: Robot control code generation by task demonstration in a dynamic environment. Robotics and Autonomous Systems 60(12): 1508-1519 (2012)
[j47]
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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. Engineering 59(2): 363-373 (2012)
[j46]
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  - journals/tip/RatnasingamM12
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Sivalogeswaran Ratnasingam, T. Martin McGinnity: Chromaticity Space for Illuminant Invariant Recognition. IEEE Transactions on Image Processing 21(8): 3612-3623 (2012)
[j45]
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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)
[j44]
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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 Netw. Learning Syst. 23(4): 574-586 (2012)
[c78]
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  - conf/aaaiss/RianoM12
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Lorenzo Riano, T. Martin McGinnity: Autonomous Skills Creation and Integration in Robotics. AAAI Spring Symposium: Designing Intelligent Robots 2012
[c77]
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Lorenzo Riano, T. Martin McGinnity: A robot that autonomously improves skills by evolving computational graphs. IEEE Congress on Evolutionary Computation 2012: 1-8
[c76]
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  - conf/ijcnn/KerrCMWC12
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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
[c75]
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  - conf/ijcnn/SiradjuddinBMC12
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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
[c74]
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  - conf/isami/AmatoBCDGLMMMROP12
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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
[c73]
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  - conf/robio/GatsoulisBM12
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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
[c72]
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  - conf/robio/GatsoulisSM12
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Yiannis Gatsoulis, Indrazno Siradjuddin, T. Martin McGinnity: Primitive action learning using fuzzy neural networks. ROBIO 2012: 1513-1517
2011
[j43]
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  - journals/evs/RianoM11
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Lorenzo Riano, T. Martin McGinnity: Quantifying the role of complexity in a system's performance. Evolving Systems 2(3): 189-198 (2011)
[j42]
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Shufan Yang, T. Martin McGinnity: A biologically plausible real-time spiking neuron simulation environment based on a multiple-FPGA platform. SIGARCH Computer Architecture News 39(4): 78-81 (2011)
[j41]
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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. Med. Imaging 30(7): 1365-1380 (2011)
[c71]
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  - conf/hisb/ZhaoM11
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Feng Zhao, T. Martin McGinnity: A Low-Cost Real-Time Three-Dimensional Confocal Fluorescence Endomicroscopy Imaging System. HISB 2011: 126-133
[c70]
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  - conf/icic/WuMMCC11
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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
[c69]
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  - conf/iconip/WangBMM11
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J. Wang, Ammar Belatreche, Liam P. Maguire, Thomas Martin McGinnity: A New Learning Algorithm for Adaptive Spiking Neural Networks. ICONIP (1) 2011: 461-468
[c68]
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  - conf/ijcci/KerrMCWC11
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Dermot Kerr, T. Martin McGinnity, Sonya A. Coleman, Qingxiang Wu, Marine Clogenson: Spiking Hierarchical Neural Network for Corner Detection. IJCCI (NCTA) 2011: 230-235
[c67]
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  - conf/ijcci/ClogensonKMCW11
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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
[c66]
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  - conf/ijcnn/RatnasingamM11
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Sivalogeswaran Ratnasingam, T. Martin McGinnity: A spiking neural network for tactile form based object recognition. IJCNN 2011: 880-885
[c65]
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  - conf/ijcnn/GandhiABPCM11
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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
[c64]
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  - conf/ijcnn/Wong-LinPM11
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KongFatt Wong-Lin, Girijesh Prasad, T. Martin McGinnity: A spiking neuronal network model of the dorsal raphe nucleus. IJCNN 2011: 1591-1598
[c63]
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  - conf/ijcnn/WallMM11
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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
[c62]
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  - conf/iros/RatnasingamM11
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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
[c61]
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  - conf/iros/DasMCB11
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G. 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
[c60]
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  - conf/isda/KerrCMWC11
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Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Qingxiang Wu, Marine Clogenson: Biologically inspired edge detection. ISDA 2011: 802-807
[c59]
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  - conf/robio/GatsoulisBM11
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Yiannis Gatsoulis, Christopher Burbridge, T. Martin McGinnity: Online unsupervised cumulative learning for life-long robot operation. ROBIO 2011: 2486-2490
[c58]
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  - conf/sysose/RayMBCJ11
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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
[j40]
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  - journals/advai/BelatrecheMMMG10
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Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity, Liam McDaid, Arfan Ghani: Computing with Biologically Inspired Neural Oscillators: Application to Colour Image Segmentation. Adv. Artificial Intellegence 2010 (2010)
[j39]
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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)
[j38]
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  - journals/ijns/StrainMMMS10
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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)
[j37]
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  - journals/neuroimage/LiCMMWB10
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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)
[j36]
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  - journals/ras/KumarBM10
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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 and Autonomous Systems 58(5): 622-633 (2010)
[c57]
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  - conf/bica/RianoM10
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Lorenzo Riano, Thomas Martin McGinnity: On the Emergence of Novel Behaviours From Complex Non Linear Systems. BICA 2010: 106-112
[c56]
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  - conf/fuzzIEEE/SiradjuddinBMC10
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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
[c55]
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  - conf/icic/WuMMVD10
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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
[c54]
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  - conf/ijcci/DempsterMGW10
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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
[c53]
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  - conf/ijcnn/BelatrecheMMGM10
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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
[c52]
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  - conf/ijcnn/CoylePM10
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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
[c51]
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  - conf/ijcnn/CoyleSM10
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Damien Coyle, Abdul Rehman Satti, T. Martin McGinnity: Predictive-spectral-spatial preprocessing for a multiclass brain-computer interface. IJCNN 2010: 1-8
[c50]
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  - conf/medbiometrics/ZhangMCJ10
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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]
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  - conf/icic/2010-3
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De-Shuang Huang, T. Martin McGinnity, Laurent Heutte, Xiao-Ping Zhang (Eds.): 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

2000 – 2009

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2009
[j35]
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Damien Coyle, Girijesh Prasad, T. Martin McGinnity: Faster Self-Organizing Fuzzy Neural Network Training and a Hyperparameter Analysis for a Brain-Computer Interface. IEEE Transactions on Systems, Man, and Cybernetics, Part B 39(6): 1458-1471 (2009)
[c49]
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  - conf/arc/GlackinHMM09
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Brendan P. Glackin, Jim Harkin, T. Martin McGinnity, Liam P. Maguire: A Hardware Accelerated Simulation Environment for Spiking Neural Networks. ARC 2009: 336-341
[c48]
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  - conf/fpl/GlackinHMMW09
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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
[c47]
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  - conf/ic3k/GoyalBM09
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Pawan Goyal, Laxmidhar Behera, T. Martin McGinnity: Entailment of Causal Queries in Narratives using Action Language. KDIR 2009: 112-118
[c46]
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  - conf/icann/Valderrama-GonzalezMMW09
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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
[c45]
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  - conf/icann/BrideMM09
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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
[c44]
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  - conf/icic/WuMMGC09
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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
[c43]
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  - conf/icnc/WuMMVC09
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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
[c42]
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  - conf/semco/GoyalBM09
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Pawan Goyal, Laxmidhar Behera, T. Martin McGinnity: An Information Retrieval Model Based on Automatically Learnt Concept Hierarchies. ICSC 2009: 458-465
[r2]
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  - reference/ai/PerezZM09
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Carlos Herrera Pérez, Tom Ziemke, Thomas Martin McGinnity: A Robot Model of Dynamic Appraisal and Response. Encyclopedia of Artificial Intelligence 2009: 1376-1382
[r1]
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  - reference/dataware/WuMPB09
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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
[j34]
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  - journals/ijon/WuMMBG08
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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)
[j33]
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  - journals/jsw/MeehanPM08
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Bridget Meehan, Girijesh Prasad, T. Martin McGinnity: An Application Directed Adaptive Framework for Autonomic Software. JSW 3(7): 30-41 (2008)
[j32]
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  - journals/nn/WuMMBG08
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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)
[j31]
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  - journals/tie/CallaghanHMM08
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Michael J. Callaghan, Jim Harkin, Thomas Martin McGinnity, Liam P. Maguire: Intelligent User Support in Autonomous Remote Experimentation Environments. IEEE Transactions on Industrial Electronics 55(6): 2355-2367 (2008)
[c41]
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  - conf/icann/GhaniMMH08
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Arfan Ghani, T. Martin McGinnity, Liam P. Maguire, Jim Harkin: Neuro-inspired Speech Recognition with Recurrent Spiking Neurons. ICANN (1) 2008: 513-522
[c40]
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  - conf/icic/WuMMCV08
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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
[c39]
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  - conf/ijcnn/WallMMM08
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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
[c38]
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  - conf/ijcnn/CoyleMP08
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Damien Coyle, T. Martin McGinnity, Girijesh Prasad: A multi-class brain-computer interface with SOFNN-based prediction preprocessing. IJCNN 2008: 3696-3703
[c37]
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  - conf/samos/BeiuMM08
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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
[c36]
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  - conf/smc/HermanPM08
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Pawel 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]
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  - journals/corr/abs-0807-2282
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Arfan Ghani, T. Martin McGinnity, Liam P. Maguire, Jim Harkin: Hardware/Software Co-Design for Spike Based Recognition. CoRR abs/0807.2282 (2008)
2007
[j30]
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  - journals/ijoe/HarkinCEMMM07
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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. iJOE 3(3) (2007)
[j29]
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Michael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire: Paradigms in Remote Experimentation. iJOE 3(4) (2007)
[j28]
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  - journals/ijon/MaguireMGGBH07
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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)
[j27]
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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)
[j26]
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Michael J. Callaghan, Jim Harkin, E. McColgan, T. Martin McGinnity, Liam P. Maguire: Client-server architecture for collaborative remote experimentation. J. Network and Computer Applications 30(4): 1295-1308 (2007)
[j25]
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  - journals/soco/BelatrecheMM07
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Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity: Advances in Design and Application of Spiking Neural Networks. Soft Comput. 11(3): 239-248 (2007)
[j24]
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  - journals/tkde/WuBPM07
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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)
[c35]
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  - conf/fuzzIEEE/HermanPM07
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Pawel 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
[c34]
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  - conf/icic/WuMMBG07
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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
[c33]
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  - conf/smc/MeehanPM07
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Bridget Meehan, Girijesh Prasad, T. Martin McGinnity: A framework for autonomic software. SMC 2007: 777-782
[p2]
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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
[j23]
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Michael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire: Client-Server Architecture for Remote Experimentation for Embedded Systems. iJOE 2(4) (2006)
[j22]
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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)
[j21]
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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)
[j20]
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Gang Leng, T. Martin McGinnity, Girijesh Prasad: Design for Self-Organizing Fuzzy Neural Networks Based on Genetic Algorithms. IEEE T. Fuzzy Systems 14(6): 755-766 (2006)
[j19]
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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)
[c32]
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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
[c31]
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  - conf/fpl/GhaniMMH06
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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
[c30]
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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
[c29]
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  - conf/icann/TuffyMMSKKA06
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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
[c28]
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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
[c27]
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  - conf/ijcnn/StrainMMM06
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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
[c26]
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  - conf/rskt/WuCPMBG06
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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
[j18]
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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. Sig. Proc. 2005(19): 3141-3151 (2005)
[j17]
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  - journals/fss/LengMP05
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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 and Systems 150(2): 211-243 (2005)
[j16]
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  - journals/kais/WuBM05
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Qingxiang Wu, David A. Bell, T. Martin McGinnity: Multiknowledge for decision making. Knowl. Inf. Syst. 7(2): 246-266 (2005)
[c25]
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  - conf/asap/KellyMM05
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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
[c24]
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  - conf/cec/WardSMM05
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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
[c23]
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  - conf/icann/JohnstonPMM05
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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
[c22]
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  - conf/icita/HarkinCMM05
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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
[c21]
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  - conf/icita/CallaghanHEMM05
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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
[c20]
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  - conf/icita/CallaghanMM05
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Michael J. Callaghan, T. Martin McGinnity, Liam McDaid: Evolving Task Specific Algorithms for Machine Vision Applications. ICITA (1) 2005: 371-374
[c19]
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  - conf/icnc/WuMMBG05
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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
[c18]
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  - conf/iwann/GlackinMMWB05
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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
[c17]
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  - conf/iwann/KellyMMM05
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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
[c16]
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  - conf/smc/WuMPB05
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Qingxiang Wu, T. Martin McGinnity, Girijesh Prasad, David A. Bell: Evolving learning mechanism for a general computing network model. SMC 2005: 1914-1919
[p1]
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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
[j15]
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  - journals/fac/CarrMM04
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C. T. Carr, T. Martin McGinnity, L. J. McDaid: Integration of UML and VHDL-AMS for analogue system modelling. Formal Asp. Comput. 16(1): 80-94 (2004)
[j14]
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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)
[j13]
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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)
[j12]
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Jim Harkin, T. Martin McGinnity, Liam P. Maguire: Modeling and optimizing run-time reconfiguration using evolutionary computation. ACM Trans. Embedded Comput. Syst. 3(4): 661-685 (2004)
[c15]
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C. T. Carr, T. Martin McGinnity, L. J. McDaid: VHDL-AMS code gneration from UML structural representations. FDL 2004: 12-25
[c14]
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  - conf/smc/CallaghanMM04
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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
[c13]
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Michael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire: Cost effectiveness issues in remote experimentation. SMC (5) 2004: 4700-4704
[c12]
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  - conf/webi/CallaghanEHMM04
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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
[c11]
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  - conf/webi/CallaghanEHMM04a
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Michael J. Callaghan, Mehdi El-Gueddari, Jim Harkin, T. Martin McGinnity, Liam P. Maguire: Intelligent Remote Experimentation. Web Intelligence 2004: 773-774
2003
[c10]
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  - conf/fpl/HarkinCPMM03
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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
[c9]
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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
[c8]
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  - conf/mse/CallaghanHPMM03
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Michael J. Callaghan, Jim Harkin, Chris Peters, T. Martin McGinnity, Liam P. Maguire: A Collaborative Environment for Remote Experimentation. MSE 2003: 59-
[c7]
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  - conf/smc/LengMP03
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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
[c6]
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Michael J. Callaghan, Jim Harkin, Girijesh Prasad, T. Martin McGinnity, Liam P. Maguire: Integrated architecture for remote experimentation. SMC 2003: 4822-4827
[c5]
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  - conf/webi/CallaghanHMM03
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Michael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire: Adaptive Intelligent Environment for Remote Experimentation. Web Intelligence 2003: 680-683
2002
[j11]
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Eamomn A. Coyle, Liam P. Maguire, T. Martin McGinnity: Design philosophy for self-repair of electronic systems using the UML. IEE Proceedings - Software 149(6): 179-186 (2002)
[c4]
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  - conf/acil/MaguireMG02
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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
2001
[j10]
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  - journals/isci/RocheMMM01
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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]
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T. Martin McGinnity, Liam P. Maguire: A CASE-tool oriented approach for embedded systems design. Microprocessors and Microsystems - Embedded Hardware Design 24(10): 493-499 (2001)
[j8]
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Jim Harkin, T. Martin McGinnity, Liam P. Maguire: Genetic algorithm driven hardware-software partitioning for dynamically reconfigurable embedded systems. Microprocessors and Microsystems 25(5): 263-274 (2001)
[j7]
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  - journals/tsmc/FentonMM01
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W. G. Fenton, T. Martin McGinnity, Liam P. Maguire: Fault diagnosis of electronic systems using intelligent techniques: a review. IEEE Transactions on Systems, Man, and Cybernetics, Part C 31(3): 269-281 (2001)
[c3]
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Jim Harkin, T. Martin McGinnity, Liam P. Maguire: Hardware-Software Partitioning: A Reconfigurable and Evolutionary Computing Approach. FPL 2001: 595-600
2000
[c2]
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Jim Harkin, T. Martin McGinnity, Liam P. Maguire: Accelerating Embedded Applications using Dynamically Reconfigurable Hardware and Evolutionary Algorithms. FCCM 2000: 321-322

1990 – 1999

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1999
[j6]
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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]
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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. Microprocessors and Microsystems - Embedded Hardware Design 23(4): 191-197 (1999)
[j4]
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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. Microprocessors and Microsystems - Embedded Hardware Design 23(4): 199-206 (1999)
[c1]
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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]
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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]
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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
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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)

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