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Liam P. Maguire
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2020 – today
- 2023
- [c73]Mark Gorman, Xuemei Ding, Liam P. Maguire, Damien Coyle:
Convolutional AutoEncoders for Anomaly Detection in Semiconductor Manufacturing. AICS 2023: 1-6 - 2021
- [c72]Callum Canavan, Liam P. Maguire, Magda Bucholc
:
Development of a Two-State Gaussian Hidden Markov Model for Modelling Dementia Progression in Patients with Mild Cognitive Impairment. ICHI 2021: 113-119 - 2020
- [j71]Ehsan Badakhshan
Using simulation-based system dynamics and genetic algorithms to reduce the cash flow bullwhip in the supply chain. Int. J. Prod. Res. 58(17): 5253-5279 (2020) - [j70]Aboozar Taherkhani
A review of learning in biologically plausible spiking neural networks. Neural Networks 122: 253-272 (2020)
2010 – 2019
- 2019
- [j69]Magda Bucholc
A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual. Expert Syst. Appl. 130: 157-171 (2019) - 2018
- [j68]Shuo Liu, Jinshu Zeng, Huizhou Gong, Hongqin Yang, Jia Zhai, Yi Cao, Junxiu Liu, Yuling Luo, Yuhua Li
Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach. Comput. Biol. Medicine 92: 168-175 (2018) - [j67]Thomas H. Alderson, Arun L. W. Bokde, J. A. Scott Kelso, Liam P. Maguire
Metastable neural dynamics in Alzheimer's disease are disrupted by lesions to the structural connectome. NeuroImage 183: 438-455 (2018) - [j66]Junxiu Liu
SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1287-1300 (2018) - [j65]Aboozar Taherkhani
A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5394-5407 (2018) - [c71]Ehsan Badakhshan
Simulation-based system dynamics optimization modelling of supply chain working capital management under lead time uncertainty. IEEE Conf. on Intelligent Systems 2018: 934-938 - 2017
- [j64]Jinling Wang
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) - 2016
- [j63]Junxiu Liu, Jim Harkin
Fault-Tolerant Networks-on-Chip Routing With Coarse and Fine-Grained Look-Ahead. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(2): 260-273 (2016) - [j62]Junxiu Liu, Jim Harkin
Scalable Networks-on-Chip Interconnected Architecture for Astrocyte-Neuron Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(12): 2290-2303 (2016) - [c70]Junxiu Liu, Jim Harkin
Self-repairing hardware with astrocyte-neuron networks. ISCAS 2016: 1350-1353 - 2015
- [j61]Mauro Dragone
A cognitive robotic ecology approach to self-configuring and evolving AAL systems. Eng. Appl. Artif. Intell. 45: 269-280 (2015) - [j60]Junxiu Liu, Jim Harkin
Low cost fault-tolerant routing algorithm for Networks-on-Chip. Microprocess. Microsystems 39(6): 358-372 (2015) - [j59]Xuemei Ding, Yuhua Li
Novelty Detection Using Level Set Methods. IEEE Trans. Neural Networks Learn. Syst. 26(3): 576-588 (2015) - [j58]Aboozar Taherkhani
DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3137-3149 (2015) - [c69]Junxiu Liu, Jim Harkin
Fine-Grained Fault-Tolerant Adaptive Routing for Networks-on-Chip. ICA3PP (4) 2015: 492-505 - [c68]Aboozar Taherkhani
EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking Neurons. ICONIP (2) 2015: 190-197 - [c67]Jinling Wang
SpikeComp: An Evolving Spiking Neural Network with Adaptive Compact Structure for Pattern Classification. ICONIP (2) 2015: 259-267 - [c66]Aboozar Taherkhani
Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method. IJCNN 2015: 1-7 - [c65]Jinling Wang
Dynamically Evolving Spiking Neural network for pattern recognition. IJCNN 2015: 1-8 - 2014
- [j57]Kamal Abuhassan
Compensating for thalamocortical synaptic loss in Alzheimer's disease. Frontiers Comput. Neurosci. 8: 65 (2014) - [j56]Nazmul H. Siddique, Bernard Widrow, Liam P. Maguire
Introduction. Int. J. Neural Syst. 24(5) (2014) - [j55]Xuemei Ding, Yuhua Li
An experimental evaluation of novelty detection methods. Neurocomputing 135: 313-327 (2014) - [j54]Jinling Wang
An online supervised learning method for spiking neural networks with adaptive structure. Neurocomputing 144: 526-536 (2014) - [j53]Kamal Abuhassan
Compensating for synaptic loss in Alzheimer's disease. J. Comput. Neurosci. 36(1): 19-37 (2014) - [j52]Junxiu Liu, Jim Harkin
Online traffic-aware fault detection for networks-on-chip. J. Parallel Distributed Comput. 74(1): 1984-1993 (2014) - [c64]Junxiu Liu, Jim Harkin
Online fault detection for Networks-on-Chip interconnect. AHS 2014: 31-38 - [c63]Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire:
A new biologically plausible supervised learning method for spiking neurons. ESANN 2014 - [c62]Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
A locally adaptive boundary evolution algorithm for novelty detection using level set methods. IJCNN 2014: 1870-1876 - [c61]Junxiu Liu, Jim Harkin
Low Overhead Monitor Mechanism for Fault-Tolerant Analysis of NoC. MCSoC 2014: 189-196 - [c60]Philip J. Vance, Gautham P. Das
Novelty detection in user behavioural models within ambient assisted living applications: An experimental evaluation. ROBIO 2014: 1868-1873 - [p3]Basabdatta Sen Bhattacharya
Spectral and Non-linear Analysis of Thalamocortical Neural Mass Model Oscillatory Dynamics. Advanced Computational Approaches to Biomedical Engineering 2014: 87-112 - 2013
- [j51]Basabdatta Sen Bhattacharya
Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease. Neurocomputing 115: 11-22 (2013) - [j50]Qingxiang Wu, T. Martin McGinnity
A visual attention model based on hierarchical spiking neural networks. Neurocomputing 116: 3-12 (2013) - [j49]Xingfeng Li
A Least Trimmed Square Regression Method for Second Level fMRI Effective Connectivity Analysis. Neuroinformatics 11(1): 105-118 (2013) - [c59]Jun Liu, Liam P. Maguire, Hui Wang, Juan Carlos Augusto:
Memories in University of Ulster. A Tribute to Prof. Dr. Da Ruan 2013: 165-171 - [c58]Garima Goel, Liam P. Maguire
Evaluation of Sampling Methods for Learning from Imbalanced Data. ICIC (1) 2013: 392-401 - [c57]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 - [c56]Xuemei Ding, Yuhua Li
Novelty Detection Using Level Set Methods with Adaptive Boundaries. SMC 2013: 3020-3025 - 2012
- [j48]Xin Zou, Damien Coyle
Beta-amyloid induced changes in A-type K+ current can alter hippocampo-septal network dynamics. J. Comput. Neurosci. 32(3): 465-477 (2012) - [j47]Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire:
Assessing Alpha Band Event-related Synchronisation/Desynchronisation Using a Bio-Inspired Computational Model. J. Univers. Comput. Sci. 18(13): 1888-1904 (2012) - [j46]Cornelius Glackin, Liam P. Maguire
Synchrony: A spiking-based mechanism for processing sensory stimuli. Neural Networks 32: 26-34 (2012) - [j45]Kamal Abuhassan
Investigating the Neural Correlates of Pathological Cortical Networks in Alzheimer's Disease Using Heterogeneous Neuronal Models. IEEE Trans. Biomed. Eng. 59(3): 890-896 (2012) - [j44]Julie A. Wall
Spiking Neural Network Model of Sound Localization Using the Interaural Intensity Difference. IEEE Trans. Neural Networks Learn. Syst. 23(4): 574-586 (2012) - [c55]Basabdatta Sen Bhattacharya
Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model. ICANN (1) 2012: 645-652 - [c54]Xuemei Ding, Yuhua Li
Constructing minimum volume surfaces using level set methods for novelty detection. IJCNN 2012: 1-6 - [c53]Giuseppe Amato
Robotic UBIquitous COgnitive Network. ISAmI 2012: 191-195 - [c52]Anjan Kumar Ray, Gang Leng, T. Martin McGinnity
Development of Cognitive Capabilities for Smart Home Using a Self-Organizing Fuzzy Neural Network. SyRoCo 2012: 447-454 - 2011
- [j43]Cornelius Glackin, Liam P. Maguire
Receptive field optimisation and supervision of a fuzzy spiking neural network. Neural Networks 24(3): 247-256 (2011) - [j42]Basabdatta Sen Bhattacharya
A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease. Neural Networks 24(6): 631-645 (2011) - [j41]Yuhua Li
Selecting Critical Patterns Based on Local Geometrical and Statistical Information. IEEE Trans. Pattern Anal. Mach. Intell. 33(6): 1189-1201 (2011) - [j40]Xingfeng Li
A Model Selection Method for Nonlinear System Identification Based fMRI Effective Connectivity Analysis. IEEE Trans. Medical Imaging 30(7): 1365-1380 (2011) - [c51]Basabdatta Sen Bhattacharya
Assessing retino-geniculo-cortical connectivities in Alzheimer's Disease with a neural mass model. CCMB 2011: 159-163 - [c50]Kamal Abuhassan, Damien Coyle
Employing neuronal networks to investigate the pathophysiological basis of abnormal cortical oscillations in Alzheimer's disease. EMBC 2011: 2065-2068 - [c49]Qingxiang Wu, T. Martin McGinnity
Simulation of Visual Attention Using Hierarchical Spiking Neural Networks. ICIC (3) 2011: 26-31 - [c48]Jinling Wang
A New Learning Algorithm for Adaptive Spiking Neural Networks. ICONIP (1) 2011: 461-468 - [c47]Cornelius Glackin, Liam P. Maguire
Lateral inhibitory networks: Synchrony, edge enhancement, and noise reduction. IJCNN 2011: 1003-1009 - [c46]Julie A. Wall
A comparison of sound localisation techniques using cross-correlation and spiking neural networks for mobile robotics. IJCNN 2011: 1981-1987 - 2010
- [j39]Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity, Liam McDaid
Computing with Biologically Inspired Neural Oscillators: Application to Colour Image Segmentation. Adv. Artif. Intell. 2010: 405073:1-405073:21 (2010) - [j38]Brendan P. Glackin, Julie A. Wall
A Spiking Neural Network Model of the Medial Superior Olive Using Spike Timing Dependent Plasticity for Sound Localization. Frontiers Comput. Neurosci. 4: 18 (2010) - [j37]Liam P. Maguire
Does Soft Computing Classify Research in Spiking Neural Networks? Int. J. Comput. Intell. Syst. 3(2): 176-189 (2010) - [j36]Simon Johnston, Girijesh Prasad
An FPGA Hardware/Software Co-Design towards Evolvable Spiking Neural Networks for Robotics Application. Int. J. Neural Syst. 20(6): 447-461 (2010) - [j35]Thomas J. Strain, L. J. McDaid, T. Martin McGinnity
An STDP Training Algorithm for a Spiking Neural Network with Dynamic Threshold Neurons. Int. J. Neural Syst. 20(6): 463-480 (2010) - [j34]Xingfeng Li
A least angle regression method for fMRI activation detection in phase-encoded experimental designs. NeuroImage 52(4): 1390-1400 (2010) - [c45]Basabdatta Sen Bhattacharya
Intra- and inter-connectivity influences on event related changes in thalamocortical alpha rhythms. BIC-TA 2010: 1685-1692 - [c44]Qingxiang Wu, T. Martin McGinnity
Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System. ICIC (1) 2010: 49-57 - [c43]Ammar Belatreche, Liam P. Maguire
Application of biologically inspired neural oscillators to colour image segmentation. IJCNN 2010: 1-8 - [c42]Basabdatta Sen Bhattacharya
Thalamocortical circuitry and alpha rhythm slowing: An empirical study based on a classic computational model. IJCNN 2010: 1-7 - [c41]Cornelius Glackin, Liam P. Maguire
Feature extraction from spectro-temporal signals using dynamic synapses, recurrency, and lateral inhibition. IJCNN 2010: 1-6 - [c40]Michael McCann, Yuhua Li, Liam P. Maguire, Adrian Johnston:
Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control. NIPS Causality: Objectives and Assessment 2010: 277-288
2000 – 2009
- 2009
- [j33]Xicai Yue
Modular hardware design for distant-internet embedded systems engineering laboratory. Comput. Appl. Eng. Educ. 17(4): 389-397 (2009) - [j32]Tina O'Donnell, Paul K. Humphreys, Ronan T. McIvor
Reducing the negative effects of sales promotions in supply chains using genetic algorithms. Expert Syst. Appl. 36(4): 7827-7837 (2009) - [c39]Brendan P. Glackin, Jim Harkin
A Hardware Accelerated Simulation Environment for Spiking Neural Networks. ARC 2009: 336-341 - [c38]Brendan P. Glackin, Jim Harkin
Emulating Spiking Neural Networks for edge detection on FPGA hardware. FPL 2009: 670-673 - [c37]German D. Valderrama-Gonzalez, T. Martin McGinnity
Review of Neuron Types in the Retina: Information Models for Neuroengineering. ICANN (1) 2009: 335-344 - [c36]Michael F. Mc Bride, T. Martin McGinnity
Robospike Sensory Processing for a Mobile Robot Using Spiking Neural Networks. ICANN (2) 2009: 794-803 - [c35]Qingxiang Wu, T. Martin McGinnity
Spiking Neural Network Performs Discrete Cosine Transform for Visual Images. ICIC (2) 2009: 21-29 - [c34]Qingxiang Wu, T. Martin McGinnity
Detection of Straight Lines Using a Spiking Neural Network Model. ICNC (2) 2009: 385-389 - [c33]J. Lu, Paul K. Humphreys, Ronan T. McIvor
Employing Genetic Algorithms to minimise the Bullwhip Effect in an online efficient-responsive supply chain. SOLI 2009: 117-122 - 2008
- [j31]Qingxiang Wu, T. Martin McGinnity
Processing visual stimuli using hierarchical spiking neural networks. Neurocomputing 71(10-12): 2055-2068 (2008) - [j30]Qingxiang Wu, T. Martin McGinnity
2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism. Neural Networks 21(9): 1318-1327 (2008) - [j29]Michael J. Callaghan, Jim Harkin
Intelligent User Support in Autonomous Remote Experimentation Environments. IEEE Trans. Ind. Electron. 55(6): 2355-2367 (2008) - [c32]Cornelius Glackin, Liam McDaid, Liam P. Maguire
Implementing Fuzzy Reasoning on a Spiking Neural Network. ICANN (2) 2008: 258-267 - [c31]Arfan Ghani
Neuro-inspired Speech Recognition with Recurrent Spiking Neurons. ICANN (1) 2008: 513-522 - [c30]Qingxiang Wu, T. Martin McGinnity
Motion Detection Using Spiking Neural Network Model. ICIC (2) 2008: 76-83 - [c29]Julie A. Wall
Spiking neuron models of the medial and lateral superior olive for sound localisation. IJCNN 2008: 2641-2647 - [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
- [j28]Cornelius Glackin, Liam P. Maguire
A comparison of fuzzy strategies for corporate acquisition analysis. Fuzzy Sets Syst. 158(18): 2039-2056 (2007) - [j27]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) - [j26]Michael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire:
Paradigms in Remote Experimentation. Int. J. Online Eng. 3(4) (2007) - [j25]Liam P. Maguire
Challenges for large-scale implementations of spiking neural networks on FPGAs. Neurocomputing 71(1-3): 13-29 (2007) - [j24]Michael J. Callaghan, Jim Harkin
Client-server architecture for collaborative remote experimentation. J. Netw. Comput. Appl. 30(4): 1295-1308 (2007) - [j23]Ammar Belatreche, Liam P. Maguire
Advances in Design and Application of Spiking Neural Networks. Soft Comput. 11(3): 239-248 (2007) - [c28]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire
Edge Detection Based on Spiking Neural Network Model. ICIC (2) 2007: 26-34 - [p2]Qingxiang Wu, T. Martin McGinnity
Learning Mechanisms in Networks of Spiking Neurons. Trends in Neural Computation 2007: 171-197 - 2006
- [j22]Anita Greenhill, Liam P. Maguire, Seán Ó Nualláin, Maeve Paris:
Book reviews. Artif. Intell. Rev. 25(4): 329-340 (2006) - [j21]Anthony G. McCloskey, Ronan T. McIvor
A user-centred corporate acquisition system: a dynamic fuzzy membership functions approach. Decis. Support Syst. 42(1): 162-185 (2006) - [j20]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) - [j19]Qingxiang Wu, T. Martin McGinnity
Learning under weight constraints in networks of temporal encoding spiking neurons. Neurocomputing 69(16-18): 1912-1922 (2006) - [c27]Arfan Ghani
Area Efficient Architecture for Large Scale Implementation of Biologically Plausible Spiking Neural Networks on Reconfigurable Hardware. FPL 2006: 1-2 - [c26]Thomas J. Strain, Liam McDaid, Liam P. Maguire
A Supervised STDP Based Training Algorithm with Dynamic Threshold Neurons. IJCNN 2006: 3409-3414 - 2005
- [c25]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]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]Simon Johnston, Girijesh Prasad, Liam P. Maguire
Comparative Investigation into Classical and Spiking Neuron Implementations on FPGAs. ICANN (1) 2005: 269-274 - [c22]Jim Harkin
Intelligent User-Support in Learning Environments for Remote Experimentation. ICITA (2) 2005: 119-124 - [c21]Michael J. Callaghan, Jim Harkin
Client-Server Architecture for Collaborative Remote Experimentation. ICITA (2) 2005: 125-129 - [c20]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire
Adaptive Co-ordinate Transformation Based on a Spike Timing-Dependent Plasticity Learning Paradigm. ICNC (1) 2005: 420-428 - [c19]Brendan P. Glackin, T. Martin McGinnity, Liam P. Maguire
A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware. IWANN 2005: 552-563 - [c18]Peter M. Kelly, T. Martin McGinnity, Liam P. Maguire
A Quaternary CLB Design Using Quantum Device Technology on Silicon for FPGA Neural Network Architectures. IWANN 2005: 564-571 - [p1]Liam P. Maguire, T. A. McCloskey, Paul K. Humphreys, Ronan T. McIvor:
A User Centred Approach to Management Decision Making. Intelligent Data Mining 2005: 439-461 - 2004
- [j18]Eamomn A. Coyle, Liam P. Maguire
Self-repair of embedded systems. Eng. Appl. Artif. Intell. 17(1): 1-9 (2004) - [j17]Karol Warne, Girijesh Prasad, Sina Rezvani, Liam P. Maguire
Statistical and computational intelligence techniques for inferential model development: a comparative evaluation and a novel proposition for fusion. Eng. Appl. Artif. Intell. 17(8): 871-885 (2004) - [j16]Ronan T. McIvor
Using a fuzzy approach to support financial analysis in the corporate acquisition process. Expert Syst. Appl. 27(4): 533-547 (2004) - [j15]Brendan P. Glackin, Liam P. Maguire
Intrinsic and extrinsic implementation of a bio-inspired hardware system. Inf. Sci. 161(1-2): 1-19 (2004) - [j14]Jim Harkin
Modeling and optimizing run-time reconfiguration using evolutionary computation. ACM Trans. Embed. Comput. Syst. 3(4): 661-685 (2004) - [c17]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. SMC (4) 2004: 3519-3524 - [c16]Michael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire:
Cost effectiveness issues in remote experimentation. SMC (5) 2004: 4700-4704 - [c15]Michael J. Callaghan, Mehdi El-Gueddari, Jim Harkin
Distributed Architecture for Adaptive Intelligent Environments. Web Intelligence 2004: 728-731 - [c14]Michael J. Callaghan, Mehdi El-Gueddari, Jim Harkin
Intelligent Remote Experimentation. Web Intelligence 2004: 773-774 - 2003
- [j13]K. J. Adams, David A. Bell, Liam P. Maguire
Knowledge Discovery from Decision Tables by the Use of Multiple-Valued Logic. Artif. Intell. Rev. 19(2): 153-176 (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) - [c13]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 - [c12]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 - [c11]Michael J. Callaghan, Jim Harkin, Chris Peters, T. Martin McGinnity, Liam P. Maguire:
A Collaborative Environment for Remote Experimentation. MSE 2003: 59- - [c10]Karol Warne, Girijesh Prasad
A novel intelligent approach to anchorage measurement using electron microscopy. SMC 2003: 3810-3815 - [c9]Michael J. Callaghan, Jim Harkin, Girijesh Prasad, T. Martin McGinnity, Liam P. Maguire:
Integrated architecture for remote experimentation. SMC 2003: 4822-4827 - [c8]Michael J. Callaghan, Jim Harkin
Adaptive Intelligent Environment for Remote Experimentation. Web Intelligence 2003: 680-683 - 2002
- [j11]Eamomn A. Coyle, Liam P. Maguire
Design philosophy for self-repair of electronic systems using the UML. IEE Proc. Softw. 149(6): 179-186 (2002) - [c7]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 - [c6]Peter M. Kelly, C. J. Thompson, T. M. McGinnity
Investigation of a programmable threshold logic gate array. ICECS 2002: 673-676 - [c5]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
Signalling techniques and their effect on neural network implementation sizes. Inf. Sci. 132(1-4): 67-82 (2001) - [j9]T. Martin McGinnity
A CASE-tool oriented approach for embedded systems design. Microprocess. Microsystems 24(10): 493-499 (2001) - [j8]Jim Harkin
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
Fault diagnosis of electronic systems using intelligent techniques: a review. IEEE Trans. Syst. Man Cybern. Part C 31(3): 269-281 (2001) - [c4]Jim Harkin, T. Martin McGinnity, Liam P. Maguire
Hardware-Software Partitioning: A Reconfigurable and Evolutionary Computing Approach. FPL 2001: 595-600 - 2000
- [c3]Jim Harkin
Accelerating Embedded Applications using Dynamically Reconfigurable Hardware and Evolutionary Algorithms. FCCM 2000: 321-322
1990 – 1999
- 1999
- [j6]B. Roche, T. Martin McGinnity
Modeling architectures for VLSI Implementations of Fuzzy Logic Systems. Inf. Sci. 115(1-4): 1-9 (1999) - [j5]Liam P. Maguire
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
Issues in the development of an integrated environment for embedded system design: Part B: design and implementation. Microprocess. Microsystems 23(4): 199-206 (1999) - [c2]K. J. Adams, Jonathan G. Campbell, Liam P. Maguire, J. A. C. Webb:
State Assignment Techniques in Multiple-Valued Logic. ISMVL 1999: 220-225 - [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
Predicting a Chaotic Time Series using Fuzzy Neural network. Inf. Sci. 112(1-4): 125-136 (1998) - [j2]J. J. Blake, Liam P. Maguire
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
Hardware Implementation of a Membership Function Generator for Fuzzy Reasoning. Inf. Sci. 96(1&2): 93-105 (1997)
Coauthor Index
Liam McDaid
aka: L. J. McDaid
aka: L. J. McDaid
[j70] [j64] [j61] [c67] [c65] [j54] [c60] [j50] [j49] [c57] [j44] [c53] [c52] [j40] [c49] [c48] [c46] [j39] [j38] [j36] [j35] [j34] [c44] [c43] [j33] [c39] [c38] [c37] [c36] [c35] [c34] [j31] [j30] [j29] [c31] [c30] [c29] [i1] [j27] [j26] [j25] [j24] [j23] [c28] [p2] [j20] [j19] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [j18] [j15] [j14] [c16] [c15] [c14] [j12] [c13] [c12] [c11] [c9] [c8] [j11] [c7] [c6] [c5] [j10] [j9] [j8] [j7] [c4] [c3] [j6] [j5] [j4] [c1] [j3] [j2] [j1]
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
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last updated on 2024-04-25 05:40 CEST by the dblp team
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