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T. Martin McGinnity: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Liam P. Maguire, T. Martin McGinnity, Brendan P. Glackin
    Hybrid Intelligent Architectures using a Neurofuzzy Approach. [Citation Graph (0, 0)][DBLP]
    Advances in Computational Intelligence and Learning, 2002, pp:147-158 [Conf]
  2. P. M. Kelly, T. Martin McGinnity, Liam P. Maguire
    Reducing Interconnection Resource Overhead in Nano-scale FPGAs through MVL Signal Systems. [Citation Graph (0, 0)][DBLP]
    ASAP, 2005, pp:282-287 [Conf]
  3. Jim Harkin, T. Martin McGinnity, Liam P. Maguire
    Accelerating Embedded Applications using Dynamically Reconfigurable Hardware and Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    FCCM, 2000, pp:321-322 [Conf]
  4. Jim Harkin, Michael Callaghan, Chris Peters, T. Martin McGinnity, Liam P. Maguire
    On-chip and Off-chip Real-Time Debugging for Remotely-Accessed Embedded Programmable Systems. [Citation Graph (0, 0)][DBLP]
    FPL, 2003, pp:1079-1082 [Conf]
  5. Jim Harkin, T. Martin McGinnity, Liam P. Maguire
    Hardware-Software Partitioning: A Reconfigurable and Evolutionary Computing Approach. [Citation Graph (0, 0)][DBLP]
    FPL, 2001, pp:595-600 [Conf]
  6. Qingxiang Wu, David A. Bell, T. Martin McGinnity, Girijesh Prasad, Guilin Qi, Xi Huang
    Improvement of Decision Accuracy Using Discretization of Continuous Attributes. [Citation Graph (0, 0)][DBLP]
    FSKD, 2006, pp:674-683 [Conf]
  7. Simon Johnston, Girijesh Prasad, Liam P. Maguire, T. Martin McGinnity
    Comparative Investigation into Classical and Spiking Neuron Implementations on FPGAs. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:269-274 [Conf]
  8. Fergal Tuffy, Liam McDaid, T. Martin McGinnity, Jose Santos, Peter Kelly, Vunfu Wong Kwan, John Alderman
    A Time Multiplexing Architecture for Inter-neuron Communications. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:944-952 [Conf]
  9. 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. [Citation Graph (0, 0)][DBLP]
    ICNC (1), 2005, pp:420-428 [Conf]
  10. Liam P. Maguire, T. Martin McGinnity, L. J. McDaid
    From a Fuzzy Flip-Flop to a MVL Flip-Flop. [Citation Graph (0, 0)][DBLP]
    ISMVL, 1999, pp:294-299 [Conf]
  11. 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. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:552-563 [Conf]
  12. P. M. Kelly, T. Martin McGinnity, Liam P. Maguire, L. M. McDaid
    A Quaternary CLB Design Using Quantum Device Technology on Silicon for FPGA Neural Network Architectures. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:564-571 [Conf]
  13. P. M. Kelly, C. J. Thompson, T. Martin McGinnity, Liam P. Maguire
    A Binary Multiplier Using RTD Based Threshold Logic Gates. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2003, pp:41-48 [Conf]
  14. Michael Callaghan, Jim Harkin, Chris Peters, T. Martin McGinnity, Liam P. Maguire
    A Collaborative Environment for Remote Experimentation. [Citation Graph (0, 0)][DBLP]
    MSE, 2003, pp:59-0 [Conf]
  15. 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. [Citation Graph (0, 0)][DBLP]
    RSKT, 2006, pp:241-246 [Conf]
  16. Michael Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire
    Cost effectiveness issues in remote experimentation. [Citation Graph (0, 0)][DBLP]
    SMC (5), 2004, pp:4700-4704 [Conf]
  17. Michael J. Callaghan, T. Martin McGinnity, L. J. McDaid
    Third order loose coupled hybrid intelligent system for machine vision applications. [Citation Graph (0, 0)][DBLP]
    SMC (4), 2004, pp:3680-3685 [Conf]
  18. Michael Callaghan, M. El-Gueddari, Jim Harkin, T. Martin McGinnity, Liam P. Maguire
    Intelligent Remote Experimentation. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2004, pp:773-774 [Conf]
  19. Michael Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire
    Adaptive Intelligent Environment for Remote Experimentation. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2003, pp:680-683 [Conf]
  20. Michael Callaghan, M. El-Gueddari, Jim Harkin, T. Martin McGinnity, Liam P. Maguire
    Distributed Architecture for Adaptive Intelligent Environments. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2004, pp:728-731 [Conf]
  21. Michael J. Callaghan, T. Martin McGinnity, Liam McDaid
    Evolving Task Specific Algorithms for Machine Vision Applications. [Citation Graph (0, 0)][DBLP]
    ICITA (1), 2005, pp:371-374 [Conf]
  22. Jim Harkin, Michael J. Callaghan, T. Martin McGinnity, Liam P. Maguire
    Intelligent User-Support in Learning Environments for Remote Experimentation. [Citation Graph (0, 0)][DBLP]
    ICITA (2), 2005, pp:119-124 [Conf]
  23. Michael J. Callaghan, Jim Harkin, M. El-Gueddari, T. Martin McGinnity, Liam P. Maguire
    Client-Server Architecture for Collaborative Remote Experimentation. [Citation Graph (0, 0)][DBLP]
    ICITA (2), 2005, pp:125-129 [Conf]
  24. C. T. Carr, T. Martin McGinnity, L. J. McDaid
    Integration of UML and VHDL-AMS for analogue system modelling. [Citation Graph (0, 0)][DBLP]
    Formal Asp. Comput., 2004, v:16, n:1, pp:80-94 [Journal]
  25. Gang Leng, T. Martin McGinnity, Girijesh Prasad
    An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:150, n:2, pp:211-243 [Journal]
  26. Eamomn A. Coyle, Liam P. Maguire, T. Martin McGinnity
    Design philosophy for self-repair of electronic systems using the UML. [Citation Graph (0, 0)][DBLP]
    IEE Proceedings - Software, 2002, v:149, n:6, pp:179-186 [Journal]
  27. Q. X. Wu, T. Martin McGinnity, Liam P. Maguire, Brendan P. Glackin, Ammar Belatreche
    Learning under weight constraints in networks of temporal encoding spiking neurons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:16-18, pp:1912-1922 [Journal]
  28. 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. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1998, v:112, n:1-4, pp:151-168 [Journal]
  29. Brendan P. Glackin, Liam P. Maguire, T. Martin McGinnity
    Intrinsic and extrinsic implementation of a bio-inspired hardware system. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2004, v:161, n:1-2, pp:1-19 [Journal]
  30. Liam P. Maguire, B. Roche, T. Martin McGinnity, L. J. McDaid
    Predicting a Chaotic Time Series using Fuzzy Neural network. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1998, v:112, n:1-4, pp:125-136 [Journal]
  31. L. J. McDaid, T. Martin McGinnity, Liam P. Maguire
    Hardware Implementation of a Membership Function Generator for Fuzzy Reasoning. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1997, v:96, n:1&2, pp:93-105 [Journal]
  32. B. Roche, T. Martin McGinnity, Liam P. Maguire, L. J. McDaid
    Signalling techniques and their effect on neural network implementation sizes. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2001, v:132, n:1-4, pp:67-82 [Journal]
  33. B. Roche, T. Martin McGinnity, Liam P. Maguire, L. J. McDaid
    Modeling architectures for VLSI Implementations of Fuzzy Logic Systems. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1999, v:115, n:1-4, pp:1-9 [Journal]
  34. Qingxiang Wu, David A. Bell, T. Martin McGinnity
    Multiknowledge for decision making. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2005, v:7, n:2, pp:246-266 [Journal]
  35. Gang Leng, Girijesh Prasad, T. Martin McGinnity
    An on-line algorithm for creating self-organizing fuzzy neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:10, pp:1477-1493 [Journal]
  36. 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]. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:6-7, pp:974- [Journal]
  37. Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity
    Advances in Design and Application of Spiking Neural Networks. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:3, pp:239-248 [Journal]
  38. Jim Harkin, T. Martin McGinnity, Liam P. Maguire
    Modeling and optimizing run-time reconfiguration using evolutionary computation. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Embedded Comput. Syst., 2004, v:3, n:4, pp:661-685 [Journal]
  39. 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. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:7, pp:941-953 [Journal]
  40. Qingxiang Wu, David A. Bell, Girijesh Prasad, T. Martin McGinnity
    A Distribution-Index-Based Discretizer for Decision-Making with Symbolic AI Approaches. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2007, v:19, n:1, pp:17-28 [Journal]
  41. W. G. Fenton, T. Martin McGinnity, Liam P. Maguire
    Fault diagnosis of electronic systems using intelligent techniques: a review. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2001, v:31, n:3, pp:269-281 [Journal]
  42. 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. [Citation Graph (0, 0)][DBLP]
    FPL, 2006, pp:1-2 [Conf]
  43. Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin
    Edge Detection Based on Spiking Neural Network Model. [Citation Graph (0, 0)][DBLP]
    ICIC (2), 2007, pp:26-34 [Conf]
  44. K. M. Ward, Mia Nazmul Haque Siddique, Liam P. Maguire, T. Martin McGinnity
    A symbiosis algorithm for robotic control. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1988-1995 [Conf]
  45. Fergal Tuffy, L. J. McDaid, Vunfu Wong Kwan, John Alderman, T. Martin McGinnity, J. A. Santos, P. M. Kelly, H. Sayers
    Inter-neuron communication strategies for spiking neural networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:71, n:1-3, pp:30-44 [Journal]
  46. 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. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:71, n:1-3, pp:13-29 [Journal]
  47. Michael J. Callaghan, Jim Harkin, E. McColgan, T. Martin McGinnity, Liam P. Maguire
    Client-server architecture for collaborative remote experimentation. [Citation Graph (0, 0)][DBLP]
    J. Network and Computer Applications, 2007, v:30, n:4, pp:1295-1308 [Journal]

  48. Emulating Spiking Neural Networks for edge detection on FPGA hardware. [Citation Graph (, )][DBLP]


  49. Support Vector-Enhanced Design of a T2FL Approach to Motor Imagery-Related EEG Pattern Recognition. [Citation Graph (, )][DBLP]


  50. Neuro-inspired Speech Recognition with Recurrent Spiking Neurons. [Citation Graph (, )][DBLP]


  51. Review of Neuron Types in the Retina: Information Models for Neuroengineering. [Citation Graph (, )][DBLP]


  52. Robospike Sensory Processing for a Mobile Robot Using Spiking Neural Networks. [Citation Graph (, )][DBLP]


  53. Motion Detection Using Spiking Neural Network Model. [Citation Graph (, )][DBLP]


  54. Spiking Neural Network Performs Discrete Cosine Transform for Visual Images. [Citation Graph (, )][DBLP]


  55. Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System. [Citation Graph (, )][DBLP]


  56. Detection of Straight Lines Using a Spiking Neural Network Model. [Citation Graph (, )][DBLP]


  57. Inter-Neuron Communications for Large-Scale Neural Networks using Capacitive Coupling. [Citation Graph (, )][DBLP]


  58. A Supervised STDP Based Training Algorithm with Dynamic Threshold Neurons. [Citation Graph (, )][DBLP]


  59. Spiking neuron models of the medial and lateral superior olive for sound localisation. [Citation Graph (, )][DBLP]


  60. A multi-class brain-computer interface with SOFNN-based prediction preprocessing. [Citation Graph (, )][DBLP]


  61. On brain-inspired hybrid topologies for nano-architectures - a Rent's rule approach -. [Citation Graph (, )][DBLP]


  62. A framework for autonomic software. [Citation Graph (, )][DBLP]


  63. A Hardware Accelerated Simulation Environment for Spiking Neural Networks. [Citation Graph (, )][DBLP]


  64. A Novel Criterion for Characterizing Diffusion Anisotropy in HARDI Data Based on the MDL Technique. [Citation Graph (, )][DBLP]


  65. An Information Retrieval Model Based on Automatically Learnt Concept Hierarchies. [Citation Graph (, )][DBLP]


  66. Multi-knowledge Approach for Mobile Robot Identification of a Changing Environment. [Citation Graph (, )][DBLP]


  67. VHDL-AMS code gneration from UML structural representations. [Citation Graph (, )][DBLP]


  68. Entailment of Causal Queries in Narratives using Action Language. [Citation Graph (, )][DBLP]


  69. Hardware/Software Co-Design for Spike Based Recognition [Citation Graph (, )][DBLP]


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