Thomas Martin McGinnity
List of publications from the DBLP Bibliography Server - FAQ
- CSB - MetaPress - Google - Bing - Yahoo
 | 2013 | |
|---|---|---|
| j52 |      | Pawan Goyal, Laxmidhar Behera, T. Martin McGinnity: A novel neighborhood based document smoothing model for information retrieval. Inf. Retr. 16(3): 391-425 (2013) |
| j51 | | 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) |
| 2012 | ||
| j50 | | 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 | | 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 | | 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 | | 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 | | Sivalogeswaran Ratnasingam, T. Martin McGinnity: Chromaticity Space for Illuminant Invariant Recognition. IEEE Transactions on Image Processing 21(8): 3612-3623 (2012) |
| j45 | | 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 | | 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) |
| c76 | | Lorenzo Riano, T. Martin McGinnity: A robot that autonomously improves skills by evolving computational graphs. IEEE Congress on Evolutionary Computation 2012: 1-8 |
| c75 | | 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 |
| c74 | | 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 |
| c73 | | 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 |
| c72 | | 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 |
| c71 | | Yiannis Gatsoulis, Indrazno Siradjuddin, T. Martin McGinnity: Primitive action learning using fuzzy neural networks. ROBIO 2012: 1513-1517 |
| 2011 | ||
| j43 | | Lorenzo Riano, T. Martin McGinnity: Quantifying the role of complexity in a system's performance. Evolving Systems 2(3): 189-198 (2011) |
| j42 | | 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 | | 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) |
| c70 | | |
| c69 | | 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 |
| c68 | | J. Wang, Ammar Belatreche, Liam P. Maguire, Thomas Martin McGinnity: A New Learning Algorithm for Adaptive Spiking Neural Networks. ICONIP (1) 2011: 461-468 |
| c67 |  | Dermot Kerr, T. Martin McGinnity, Sonya A. Coleman, Qingxiang Wu, Marine Clogenson: Spiking Hierarchical Neural Network for Corner Detection. IJCCI (NCTA) 2011: 230-235 |
| c66 | | 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 |
| c65 | | Sivalogeswaran Ratnasingam, T. Martin McGinnity: A spiking neural network for tactile form based object recognition. IJCNN 2011: 880-885 |
| c64 | | 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 |
| c63 | | KongFatt Wong-Lin, Girijesh Prasad, T. Martin McGinnity: A spiking neuronal network model of the dorsal raphe nucleus. IJCNN 2011: 1591-1598 |
| c62 | | 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 |
| c61 | | 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 |
| c60 | | 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 |
| c59 | | Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Qingxiang Wu, Marine Clogenson: Biologically inspired edge detection. ISDA 2011: 802-807 |
| c58 | | Yiannis Gatsoulis, Christopher Burbridge, T. Martin McGinnity: Online unsupervised cumulative learning for life-long robot operation. ROBIO 2011: 2486-2490 |
| 2010 | ||
| j40 | | 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 | | 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 | | 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 | | 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 | | 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 | | Lorenzo Riano, Thomas Martin McGinnity: On the Emergence of Novel Behaviours From Complex Non Linear Systems. BICA 2010: 106-112 |
| c56 | | 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 | | 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 | | 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 | | 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 | | 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 | | Damien Coyle, Abdul Rehman Satti, T. Martin McGinnity: Predictive-spectral-spatial preprocessing for a multiclass brain-computer interface. IJCNN 2010: 1-8 |
| c50 | | 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 | | 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 |
| 2009 | ||
| j35 | | 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 | | 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 | | 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 | | Pawan Goyal, Laxmidhar Behera, T. Martin McGinnity: Entailment of Causal Queries in Narratives using Action Language. KDIR 2009: 112-118 |
| c46 | | 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 | | 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 | | 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 | | 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 | | Pawan Goyal, Laxmidhar Behera, T. Martin McGinnity: An Information Retrieval Model Based on Automatically Learnt Concept Hierarchies. ICSC 2009: 458-465 |
| r2 | | Carlos Herrera Pérez, Tom Ziemke, Thomas Martin McGinnity: A Robot Model of Dynamic Appraisal and Response. Encyclopedia of Artificial Intelligence 2009: 1376-1382 |
| r1 | | 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 | | 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 | | Bridget Meehan, Girijesh Prasad, T. Martin McGinnity: An Application Directed Adaptive Framework for Autonomic Software. JSW 3(7): 30-41 (2008) |
| j32 | | 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 | | 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 | | Arfan Ghani, T. Martin McGinnity, Liam P. Maguire, Jim Harkin: Neuro-inspired Speech Recognition with Recurrent Spiking Neurons. ICANN (1) 2008: 513-522 |
| c40 | | 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 | | 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 | | Damien Coyle, T. Martin McGinnity, Girijesh Prasad: A multi-class brain-computer interface with SOFNN-based prediction preprocessing. IJCNN 2008: 3696-3703 |
| c37 | | 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 | | 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 | | 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 | | 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 | | Michael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire: Paradigms in Remote Experimentation. iJOE 3(4) (2007) |
| j28 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | Bridget Meehan, Girijesh Prasad, T. Martin McGinnity: A framework for autonomic software. SMC 2007: 777-782 |
| p2 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | Qingxiang Wu, David A. Bell, T. Martin McGinnity: Multiknowledge for decision making. Knowl. Inf. Syst. 7(2): 246-266 (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, T. Martin McGinnity: Comparative Investigation into Classical and Spiking Neuron Implementations on FPGAs. ICANN (1) 2005: 269-274 |
| c22 | | 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 | | 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 | | Michael J. Callaghan, T. Martin McGinnity, Liam McDaid: Evolving Task Specific Algorithms for Machine Vision Applications. ICITA (1) 2005: 371-374 |
| c19 | | 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 | | 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 | | 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 | | Qingxiang Wu, T. Martin McGinnity, Girijesh Prasad, David A. Bell: Evolving learning mechanism for a general computing network model. SMC 2005: 1914-1919 |
| p1 | | 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 | | 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 | | 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 | | 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 | | 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 | | C. T. Carr, T. Martin McGinnity, L. J. McDaid: VHDL-AMS code gneration from UML structural representations. FDL 2004: 12-25 |
| c14 | | 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 | | Michael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire: Cost effectiveness issues in remote experimentation. SMC (5) 2004: 4700-4704 |
| c12 | | 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 | | Michael J. Callaghan, Mehdi El-Gueddari, Jim Harkin, T. Martin McGinnity, Liam P. Maguire: Intelligent Remote Experimentation. Web Intelligence 2004: 773-774 |
| 2003 | ||
| c10 | | 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 | | 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 | | Michael J. Callaghan, Jim Harkin, Chris Peters, T. Martin McGinnity, Liam P. Maguire: A Collaborative Environment for Remote Experimentation. MSE 2003: 59- |
| c7 | | 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 | | Michael J. Callaghan, Jim Harkin, Girijesh Prasad, T. Martin McGinnity, Liam P. Maguire: Integrated architecture for remote experimentation. SMC 2003: 4822-4827 |
| c5 | | Michael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire: Adaptive Intelligent Environment for Remote Experimentation. Web Intelligence 2003: 680-683 |
| 2002 | ||
| j11 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | Jim Harkin, T. Martin McGinnity, Liam P. Maguire: Hardware-Software Partitioning: A Reconfigurable and Evolutionary Computing Approach. FPL 2001: 595-600 |
| 2000 | ||
| c2 | | Jim Harkin, T. Martin McGinnity, Liam P. Maguire: Accelerating Embedded Applications using Dynamically Reconfigurable Hardware and Evolutionary Algorithms. FCCM 2000: 321-322 |
| 1999 | ||
| j6 | | 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 | | 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 | | 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 | | 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, 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 | | 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 | ||
| j1 | | 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) |
Colors in the list of coauthors
Last update Wed May 22 08:12:23 2013 CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page