T. McGinnity

Fault diagnosis of electronic systems using intelligent techniques: a review

T. Martin McGinnity, Liam P. Maguire, W. G. Fenton, 2001, IEEE Trans. Syst. Man Cybern. Part C.

EEG denoising with a recurrent quantum neural network for a brain-computer interface

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2011, The 2011 International Joint Conference on Neural Networks.

NatCSNN: A Convolutional Spiking Neural Network for Recognition of Objects Extracted from Natural Images

T. Martin McGinnity, Georgina Cosma, Pedro Machado, 2019, ICANN.

Evaluating Quantum Neural Network filtered motor imagery brain-computer interface using multiple classification techniques

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2015, Neurocomputing.

A multi-class brain-computer interface with SOFNN-based prediction preprocessing

T. Martin McGinnity, Girijesh Prasad, Damien Coyle, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network

T. Martin McGinnity, Girijesh Prasad, Gang Leng, 2005, Fuzzy Sets Syst..

Challenges in clustering C. elegans neurons using computational approaches

T. Martin McGinnity, Kofi Appiah, Pedro Machado, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

High Accuracy FPGA Implementation of an Optical Flow Algorithm for Real-time Operation

Girijesh Prasad, Joan Condell, Tm McGinnity, 2007 .