Items where Author is "McGinnity, TM"

WOODWARD, K., KANJO, E., BROWN, D.J., MCGINNITY, T.M. and HAROLD, G., 2023. In the hands of users with intellectual disabilities: co-designing tangible user interfaces for mental wellbeing. Personal and Ubiquitous Computing. ISSN 1617-4909

MACHADO, P., FERREIRA, J.F., OIKONOMOU, A. and MCGINNITY, T.M., 2023. NeuroHSMD: neuromorphic hybrid spiking motion detector. ACM Transactions on Reconfigurable Technology and Systems, 16 (3): 36. ISSN 1936-7406

EGBOWON, B.F., FORNARI, E., PALLY, J.M., HARGREAVES, A.J., STEVENS, B., MCGINNITY, T.M. and PIERSCIONEK, B.K., 2023. Retinal pigment epithelial cells can be cultured on fluocinolone acetonide treated nanofibrous scaffold. Materials and Design, 232: 112152. ISSN 0264-1275

WOODWARD, K., KANJO, E., BROWN, D., MCGINNITY, T.M., INKSTER, B., MACINTYRE, D. and TSANAS, T., 2020. Beyond mobile apps: a survey of technologies for mental well-being. IEEE Transactions on Affective Computing. ISSN 1949-3045

TAHERKHANI, A., COSMA, G. and MCGINNITY, T.M., 2020. AdaBoost-CNN: an Adaptive Boosting algorithm for Convolutional Neural Networks to classify multi-class imbalanced datasets using transfer learning. Neurocomputing. ISSN 0925-2312

TAHERKHANI, A., BELATRECHE, A., LI, Y., COSMA, G., MAGUIRE, L.P. and MCGINNITY, T.M., 2020. A review of learning in biologically plausible spiking neural networks. Neural Networks, 122, pp. 253-272. ISSN 0893-6080

MCGINNITY, T.M., GAULT, R. and COLEMAN, S., 2020. Perceptual modelling of tinnitus pitch and loudness. IEEE Transactions on Cognitive and Developmental Systems. ISSN 2379-8920

BRANDENBURG, S., MACHADO, P., SHINDE, P., FERREIRA, J.F. and MCGINNITY, T.M., 2019. Object classification for robotic platforms. In: ROBOT 2019: Fourth Iberian Robotics Conference, Porto, Portugal, 20-22 November 2019.

COSMA, G. and MCGINNITY, T.M., 2019. Feature extraction and classification using leading eigenvectors: applications to biomedical and multi-modal mHealth data. IEEE Access, 7, pp. 107400-107412. ISSN 2169-3536

TAHERKHANI, A., COSMA, G. and MCGINNITY, T.M., 2019. Optimization of output spike train encoding for a spiking neuron based on its spatiotemporal input pattern. IEEE Transactions on Cognitive and Developmental Systems. ISSN 2379-8920

DAS, G.P., VANCE, P.J., KERR, D., COLEMAN, S.A., MCGINNITY, T.M. and LIU, J.K., 2019. Computational modelling of salamander retinal ganglion cells using machine learning approaches. Neurocomputing, 325, pp. 101-112. ISSN 0925-2312

TAHERKHANI, A., COSMA, G., ALANI, A.A. and MCGINNITY, T.M., 2019. Activity recognition from multi-modal sensor data using a deep convolutional neural network. In: K. ARAI, S. KAPOOR and R. BHATIA, eds., Intelligent computing. Proceedings of the 2018 Computing Conference, volume 2. Advances in intelligent systems and computing. (857). Chaim: Springer, pp. 203-218. ISBN 9783030011765

GÓMEZ EGUÍLUZ, A., RAÑÓ, I., COLEMAN, S.A. and MCGINNITY, T.M., 2019. Reliable robotic handovers through tactile sensing. Autonomous Robots, 43 (7), pp. 1623-1637. ISSN 0929-5593

TAHERKHANI, A., COSMA, G. and MCGINNITY, T.M., 2018. Deep-FS: a feature selection algorithm for deep Boltzmann machines. Neurocomputing, 322, pp. 22-37. ISSN 0925-2312

SHINDE, P., MACHADO, P., SANTOS, F.N. and MCGINNITY, T.M., 2018. Online object trajectory classification using FPGA-SoC devices. In: UKCI 2018: 18th Annual UK Workshop on Computational Intelligence, Nottingham Trent University, Nottingham, 5-7 September 2-18. Advances in intelligent systems and computing . Springer. (Forthcoming)

GAULT, R., MCGINNITY, T.M. and COLEMAN, S., 2018. A computational model of thalamocortical dysrhythmia in people with tinnitus. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26 (9), pp. 1845-1857. ISSN 1558-0210

MACHADO, P., OIKONOMOU, A., COSMA, G. and MCGINNITY, T.M., 2018. Bio-inspired ganglion cell models for detecting horizontal and vertical movements. In: 2018 International Joint Conference on Neural Networks (IJCNN 2018), Rio de Janeiro, Brazil, 8-13 July 2018. (Forthcoming)

GÓMEZ EGUÍLUZ, A., RAÑÓ, I., COLEMAN, S.A. and MCGINNITY, T.M., 2018. Multimodal material identification through recursive tactile sensing. Robotics and Autonomous Systems. ISSN 0921-8890

WINGFIELD, B., COLEMAN, S., MCGINNITY, T.M. and BJOURSON, A., 2018. Robust microbial markers for non-invasive inflammatory bowel disease identification. IEEE/ACM Transactions on Computational Biology and Bioinformatics. ISSN 1545-5963

KERR, E., MCGINNITY, T.M. and COLEMAN, S., 2018. Material recognition using tactile sensing. Expert Systems with Applications, 94, pp. 94-111. ISSN 0957-4174

KERR, D., COLEMAN, S. and MCGINNITY, T.M., 2018. Biologically inspired intensity and depth image edge extraction. IEEE Transactions on Neural Networks and Learning Systems, PP (99), pp. 1-10. ISSN 2162-237X

COSTALAGO-MERUELO, A., MACHADO, P., APPIAH, K., MUJIKA, A., LESKOVSKY, P., ALVAREZ, R., EPELDE, G. and MCGINNITY, T.M., 2018. Emulation of chemical stimulus triggered head movement in the C. elegans nematode. Neurocomputing. ISSN 0925-2312

PANDYA, B., COSMA, G., ALANI, A.A., TAHERKHANI, A., BHARADI, V. and MCGINNITY, T.M., 2018. Fingerprint classification using a deep convolutional neural network. In: 2018 4th International Conference on Information Management (ICIM2018), 25-27 May 2018, Oxford, UK. IEEE, pp. 86-91. ISBN 9781538661482

ALANI, A.A., COSMA, G., TAHERKHANI, A. and MCGINNITY, T.M., 2018. Hand gesture recognition using an adapted convolutional neural network with data augmentation. In: 2018 4th International Conference on Information Management (ICIM2018), 25-27 May 2018, Oxford, UK. IEEE, pp. 5-12. ISBN 9781538661482

MAAJI, S.S., COSMA, G., TAHERKHANI, A., ALANI, A.A. and MCGINNITY, T.M., 2018. On-line voltage stability monitoring using an Ensemble AdaBoost classifier. In: 2018 4th International Conference on Information Management (ICIM2018), 25-27 May 2018, Oxford, UK. IEEE, pp. 253-259. ISBN 9781538661482

GERLEIN, E.A., MCGINNITY, T.M., BELATRECHE, A. and COLEMAN, S., 2017. Network on chip architecture for multi-agent systems in FPGA. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 10 (4), p. 25. ISSN 1936-7406

SHYNKEVICH, Y., MCGINNITY, T.M., COLEMAN, S.A., BELATRECHE, A. and LI, Y., 2017. Forecasting price movements using technical indicators: investigating the impact of varying input window length. Neurocomputing, 264, pp. 71-88. ISSN 0925-2312

VANCE, P.J., DAS, G.P., KERR, D., COLEMAN, S.A., MCGINNITY, T.M., GOLLISCH, T. and LIU, J.K., 2017. Bioinspired approach to modeling retinal ganglion cells using system identification techniques. IEEE Transactions on Neural Networks and Learning Systems, PP (99). ISSN 2162-237X

HERMAN, P.A., PRASAD, G. and MCGINNITY, T.M., 2017. Designing an Interval Type-2 Fuzzy Logic System for Handling Uncertainty Effects in Brain–Computer Interface Classification of Motor Imagery Induced EEG Patterns. IEEE Transactions on Fuzzy Systems, 25 (1), pp. 29-42. ISSN 1063-6706

JOSHI, A., YOUSSOFZADEH, V., VEMANA, V., MCGINNITY, T.M., PRASAD, G. and WONG-LIN, K., 2017. An integrated modelling framework for neural circuits with multiple neuromodulators. Journal of The Royal Society Interface, 14 (126), p. 20160902. ISSN 1742-5689

WANG, J., BELATRECHE, A., MAGUIRE, L.P. and MCGINNITY, T.M., 2017. SpikeTemp: an enhanced rank-order-based learning approach for spiking neural networks with adaptive structure. IEEE Transactions on Neural Networks and Learning Systems, 28 (1), pp. 30-43. ISSN 2162-237X

CAO, Y., LI, Y., COLEMAN, S., BELATRECHE, A. and MCGINNITY, T.M., 2016. Detecting wash trade in financial market using digraphs and dynamic programming. IEEE Transactions on Neural Networks and Learning Systems, 27 (11), pp. 2351-2363. ISSN 2162-237X

APPIAH, K., MACHADO, P., COSTALAGO MERUELO, A. and MCGINNITY, T.M., 2016. C. elegans behavioural response germane to hardware modelling. In: Proceedings of the 2016 IEEE International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, 24-29 July 2016. Piscataway, New Jersey: IEEE, pp. 4743-4750. ISBN 9781509006205

COSTALAGO MERUELO, A., MACHADO, P., APPIAH, K. and MCGINNITY, T.M., 2016. Challenges in clustering C. elegans neurons using computational approaches. In: Proceedings of the 2016 IEEE International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, 24-29 July 2016. Piscataway, New Jersey: IEEE, pp. 4775-4781. ISBN 9781509006205

MACHADO, P., COSTALAGO MERUELO, A., PETRUSHIN, A., FERRARA, L., LAMA, N., ADAMA, D.A., APPIAH, K., BLAU, A. and MCGINNITY, T.M., 2016. Si elegans: evaluation of an innovative optical synaptic connectivity method for C. elegans phototaxis using FPGAs. In: Proceedings of the 2016 IEEE International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, 24-29 July 2016. Piscataway, New Jersey: IEEE, pp. 185-191. ISBN 9781509006205

SHYNKEVICH, Y., MCGINNITY, T.M., COLEMAN, S.A. and BELATRECHE, A., 2016. Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning. Decision Support Systems, 85 (May), pp. 74-83. ISSN 0167-9236

GATSOULIS, Y. and MCGINNITY, T.M., 2015. Intrinsically motivated learning systems based on biologically-inspired novelty detection. Robotics and Autonomous Systems, 68, pp. 12-20. ISSN 0921-8890

CAO, Y., LI, Y., COLEMAN, S., BELATRECHE, A. and MCGINNITY, T.M., 2015. Adaptive hidden Markov model With anomaly states for price manipulation detection. IEEE Transactions on Neural Networks and Learning Systems, 26 (2), pp. 318-330. ISSN 2162-237X

GANDHI, V., PRASAD, G., COYLE, D., BEHERA, L. and MCGINNITY, T.M., 2015. Evaluating Quantum Neural Network filtered motor imagery brain-computer interface using multiple classification techniques. Neurocomputing, 170, pp. 161-167. ISSN 0925-2312

LI, X., KEHOE, E.G., MCGINNITY, T.M., COYLE, D. and BODKE, A.L.W., 2015. Modulation of effective connectivity in the default mode network at rest and during a memory task. Brain Connectivity, 5 (1), pp. 60-67. ISSN 2158-0022

AMATO, G., BACCIU, D., BROXVALL, M., CHESSA, S., COLEMAN, S., DI ROCCO, M., DRAGONE, M., GALLICCHIO, C., GENNARO, C., LOZANO, H., MCGINNITY, T.M., MICHELI, A., RAY, A.K., RENTERIA, A., SAFFIOTTI, A., SWORDS, D., VAIRO, C. and VANCE, P., 2015. Robotic ubiquitous cognitive ecology for smart homes. Journal of Intelligent & Robotic Systems. ISSN 0921-0296

MACHADO, P., WADE, J. and MCGINNITY, T.M., 2015. Si elegans: Modeling the C. elegans Nematode Nervous System Using High Performance FPGAS. In: A.R. LONDRAL and P. ENCARNAÇÃO, eds., Advances in Neurotechnology, Electronics and Informatics. Biosystems & biorobotics, 12 . Cham, Switzerland: Springer International Publishing, pp. 31-45. ISBN 9783319262406

COSTALAGO MERUELO, A., MACHADO, P., APPIAH, K. and MCGINNITY, T.M., 2015. Si elegans: a computational model of C. elegans muscle response to light. In: 3rd International Congress on Neurotechnology, Electronics and Informatics, Lisbon, Portugal, 2015.

MACHADO, P., WADE, J., APPIAH, K. and MCGINNITY, T.M., 2015. Si elegans: hardware architecture and communications protocol. In: 2015 International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, 12-17 July 2015.

KERR, D., MCGINNITY, T.M., COLEMAN, S. and CLOGENSON, M., 2015. A biologically inspired spiking model of visual processing for image feature detection. Neurocomputing, 158, pp. 268-280. ISSN 0925-2312

GANDHI, V., PRASAD, G., COYLE, D., BEHERA, L. and MCGINNITY, T.M., 2014. EEG-based mobile robot control through an adaptive brain–robot interface. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44 (9), pp. 1278-1285. ISSN 2168-2216

JALEWA, J., WONG-LIN, K., MCGINNITY, T.M., PRASAD, G. and HÖLSCHER, C., 2014. Increased number of orexin/hypocretin neurons with high and prolonged external stress-induced depression. Behavioural Brain Research, 272, pp. 196-204. ISSN 0166-4328

HE, H., MCGINNITY, T.M., COLEMAN, S. and GARDINER, B., 2014. Linguistic decision making for robot route learning. IEEE Transactions on Neural Networks and Learning Systems, 25 (1), pp. 203-215. ISSN 2162-237X

JALEWA, J., JOSHI, A., MCGINNITY, T.M., PRASAD, G., WONG-LIN, K. and HÖLSCHER, C., 2014. Neural circuit interactions between the dorsal raphe nucleus and the lateral hypothalamus: an experimental and computational study. PLoS ONE, 9 (2). ISSN 1932-6203

GANDHI, V., PRASAD, G., COYLE, D., BEHERA, L. and MCGINNITY, T.M., 2014. Quantum neural network-based EEG filtering for a brain-computer interface. IEEE Transactions on Neural Networks and Learning Systems, 25 (2), pp. 278-288. ISSN 2162-237X

JING, M., MCGINNITY, T.M., COLEMAN, S., FUCHS, A. and KELSO, J., 2014. Temporal changes of diffusion patterns in mild traumatic brain injury via group based semi-blind source separation. IEEE Journal of Biomedical and Health Informatics. ISSN 2168-2194

DAS, G.P., MCGINNITY, T.M., COLEMAN, S.A. and BEHERA, L., 2014. A distributed task allocation algorithm for a multi-robot system in healthcare facilities. Journal of Intelligent & Robotic Systems. ISSN 1573-0409

WANG, J., BELATRECHE, A., MAGUIRE, L. and MCGINNITY, T.M., 2014. An online supervised learning method for spiking neural networks with adaptive structure. Neurocomputing, 144, pp. 526-536. ISSN 0925-2312

MCGOVERN, D.P., ROUDAIA, E., STAPLETON, J., MCGINNITY, T.M. and NEWELL, F.N., 2014. The sound-induced flash illusion reveals dissociable age-related effects in multisensory integration. Frontiers in Aging Neuroscience, 6. ISSN 1663-4365