World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
8920
World Ranking
7905
National Ranking
474

Overview

TM McGinnity is affiliated with the University of Ulster in the United Kingdom and has contributed extensively to multiple fields, including neuroscience, computer science, and engineering. Their research spans a variety of specialized subfields such as cognitive neuroscience, artificial intelligence, molecular biology, electrical and electronic engineering, and biomedical engineering.

Their work focuses on several main topics including time series analysis and forecasting, neural dynamics and brain function, anomaly detection techniques and applications, EEG and brain-computer interfaces, autism spectrum disorder research, retinal development and disorders, and the broader field of neuroscience and neural engineering.

TM McGinnity has published their research in a variety of venues. Frequent publication sources include arXiv (Cornell University), IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Access, and Nottingham Trent University's Institutional Repository.

Key recent papers by TM McGinnity encompass:

  • Deep learning in mining biological data, 2021, Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)
  • AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning, 2020, Neurocomputing
  • Variations in the oral microbiome are associated with depression in young adults, 2021, Scientific Reports
  • The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems, 2021, IEEE Transactions on Cognitive and Developmental Systems
  • Probabilistic, Recurrent, Fuzzy Neural Network for Processing Noisy Time-Series Data, 2021, IEEE Transactions on Neural Networks and Learning Systems

The scientist frequently collaborates with several co-authors, including Sonya Coleman, Mufti Mahmud, Damien Coyle, Richard Gault, and Kieran Woodward.

Best Publications

  • Deep Learning in Mining Biological Data

    Mufti Mahmud;M. Shamim Kaiser;T. Martin McGinnity;Amir Hussain

  • A review of learning in biologically plausible spiking neural networks

    Aboozar Taherkhani;Ammar Belatreche;Yuhua Li;Georgina Cosma

  • Comparative Analysis of Spectral Approaches to Feature Extraction for EEG-Based Motor Imagery Classification

    P. Herman;G. Prasad;T.M. McGinnity;D. Coyle

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

    Gang Leng;Thomas Martin McGinnity;Girijesh Prasad

  • Predicting a chaotic time series using a fuzzy neural network

    L. P. Maguire;B. Roche;T. M. McGinnity;L. J. McDaid

  • Fault diagnosis of electronic systems using intelligent techniques: a review

    W.G. Fenton;T.M. McGinnity;L.P. Maguire

  • AdaBoost-CNN: An Adaptive Boosting algorithm for Convolutional Neural Networks to classify Multi-Class Imbalanced datasets using Transfer Learning

    Aboozar Taherkhani;Georgina Cosma;T.M. McGinnity;T.M. McGinnity

  • Challenges for large-scale implementations of spiking neural networks on FPGAs

    L. P. Maguire;T. M. McGinnity;B. Glackin;A. Ghani

  • An on-line algorithm for creating self-organizing fuzzy neural networks

    Gang Leng;Girijesh Prasad;Thomas Martin McGinnity

  • Design for Self-Organizing Fuzzy Neural Networks Based on Genetic Algorithms

    Gang Leng;T.M. McGinnity;G. Prasad

  • Forecasting price movements using technical indicators: Investigating the impact of varying input window length

    Yauheniya Shynkevich;T.M. McGinnity;T.M. McGinnity;Sonya A. Coleman;Ammar Belatreche

  • Quantum Neural Network-Based EEG Filtering for a Brain–Computer Interface

    Vaibhav Gandhi;Girijesh Prasad;Damien Coyle;Laxmidhar Behera

  • A time-series prediction approach for feature extraction in a brain-computer interface

    D. Coyle;G. Prasad;T.M. McGinnity

  • Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection

    Yi Cao;Yuhua Li;Sonya Coleman;Ammar Belatreche

  • EEG-Based Mobile Robot Control Through an Adaptive Brain–Robot Interface

    Vaibhav Gandhi;Girijesh Prasad;Damien Coyle;Laxmidhar Behera

  • A Distributed Task Allocation Algorithm for a Multi-Robot System in Healthcare Facilities

    Gautham P. Das;Thomas M. Mcginnity;Sonya A. Coleman;Laxmidhar Behera

  • The sound-induced flash illusion reveals dissociable age-related effects in multisensory integration.

    David P. McGovern;Eugenie Roudaia;John Stapleton;T. Martin McGinnity

  • An online supervised learning method for spiking neural networks with adaptive structure

    Jinling Wang;Ammar Belatreche;Liam Maguire;Thomas Martin Mcginnity

  • Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning

    Yauheniya Shynkevich;T.M. McGinnity;Sonya A. Coleman;Ammar Belatreche

  • EEG-based continuous control of a game using a 3 channel motor imagery BCI: BCI game

    Damien Coyle;Jhonatan Garcia;Abdul R Satti;T Martin McGinnity

  • Faster Self-Organizing Fuzzy Neural Network Training and a Hyperparameter Analysis for a Brain–Computer Interface

    D. Coyle;G. Prasad;T.M. McGinnity

Frequent Co-Authors

Liam Maguire
Liam Maguire University of Ulster
Girijesh Prasad
Girijesh Prasad University of Ulster
Damien Coyle
Damien Coyle University of Ulster
Laxmidhar Behera
Laxmidhar Behera Indian Institute of Technology Kanpur
Mufti Mahmud
Mufti Mahmud Nottingham Trent University
Tobi Delbruck
Tobi Delbruck ETH Zurich
Stefano Chessa
Stefano Chessa University of Pisa
Alessandro Saffiotti
Alessandro Saffiotti Örebro University
J. A. Scott Kelso
J. A. Scott Kelso Florida Atlantic University
Alessio Micheli
Alessio Micheli University of Pisa

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