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Liam P. Maguire: [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. 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]
  7. 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]
  8. K. J. Adams, J. G. Campbell, Liam P. Maguire, J. A. C. Webb
    State Assignment Techniques in Multiple-Valued Logic. [Citation Graph (0, 0)][DBLP]
    ISMVL, 1999, pp:220-225 [Conf]
  9. 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]
  10. 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]
  11. 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]
  12. 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]
  13. 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]
  14. 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]
  15. Karol Warne, Girijesh Prasad, Mia Nazmul Haque Siddique, Liam P. Maguire
    Development of a hybrid PCA-ANFIS measurement system for monitoring product quality in the coating industry. [Citation Graph (0, 0)][DBLP]
    SMC (4), 2004, pp:3519-3524 [Conf]
  16. 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]
  17. 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]
  18. 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]
  19. 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]
  20. 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]
  21. K. J. Adams, D. A. Bell, Liam P. Maguire, J. McGregor
    Knowledge Discovery from Decision Tables by the Use of Multiple-Valued Logic. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 2003, v:19, n:2, pp:153-176 [Journal]
  22. Anthony G. McCloskey, Ronan T. McIvor, Liam P. Maguire, Paul K. Humphreys, Tina O'Donnell
    A user-centred corporate acquisition system: a dynamic fuzzy membership functions approach. [Citation Graph (0, 0)][DBLP]
    Decision Support Systems, 2006, v:42, n:1, pp:162-185 [Journal]
  23. Ronan T. McIvor, Anthony G. McCloskey, Paul K. Humphreys, Liam P. Maguire
    Using a fuzzy approach to support financial analysis in the corporate acquisition process. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2004, v:27, n:4, pp:533-547 [Journal]
  24. 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]
  25. 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]
  26. 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]
  27. 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]
  28. 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]
  29. 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]
  30. 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]
  31. 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]
  32. 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]
  33. 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]
  34. 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]
  35. 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]
  36. 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]
  37. 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]
  38. Cornelius Glackin, Liam P. Maguire, Ronan T. McIvor, Paul K. Humphreys, Pawel Herman
    A comparison of fuzzy strategies for corporate acquisition analysis. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2007, v:158, n:18, pp:2039-2056 [Journal]
  39. 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]
  40. 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]

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


  42. Implementing Fuzzy Reasoning on a Spiking Neural Network. [Citation Graph (, )][DBLP]


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


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


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


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


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


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


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


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


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


  52. Book reviews. [Citation Graph (, )][DBLP]


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


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