Thomas Martin McGinnity

Thomas Martin McGinnity

Ulster University

H-index: 46

Europe-United Kingdom

About Thomas Martin McGinnity

Thomas Martin McGinnity, With an exceptional h-index of 46 and a recent h-index of 32 (since 2020), a distinguished researcher at Ulster University, specializes in the field of computational intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

CDNA-SNN: A New Spiking Neural Network for Pattern Classification Using Neuronal Assemblies

NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector

Encoding Kinematic and Temporal Gait Data in an Appearance-Based Feature for the Automatic Classification of Autism Spectrum Disorder

ChPOS: A Contactless and Continuous Method for Estimation of Heart Rate from Face

From Model to Appearance Based Autism Spectrum Disorder Classification: The Joint Energy Image

The Multi-Recurrent Neural Network for State-Of-The-Art Time-Series Processing

A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets

In the hands of users with intellectual disabilities: co-designing tangible user interfaces for mental wellbeing

Thomas Martin McGinnity Information

University

Position

___

Citations(all)

8896

Citations(since 2020)

3888

Cited By

6521

hIndex(all)

46

hIndex(since 2020)

32

i10Index(all)

170

i10Index(since 2020)

81

Email

University Profile Page

Ulster University

Google Scholar

View Google Scholar Profile

Thomas Martin McGinnity Skills & Research Interests

computational intelligence

Top articles of Thomas Martin McGinnity

Title

Journal

Author(s)

Publication Date

CDNA-SNN: A New Spiking Neural Network for Pattern Classification Using Neuronal Assemblies

IEEE Transactions on Neural Networks and Learning Systems

Vahid Saranirad

Shirin Dora

Thomas Martin McGinnity

Damien Coyle

2024/2/8

NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector

ACM Transactions on Reconfigurable Technologies

Pedro Machado

João Filipe Ferreira

Andreas Oikonomou

Martin McGinnity

2023/3/17

Encoding Kinematic and Temporal Gait Data in an Appearance-Based Feature for the Automatic Classification of Autism Spectrum Disorder

IEEE Access

B Henderson

Pratheepan Yogarajah

Bryan Gardiner

T Martin McGinnity

2023/11/28

ChPOS: A Contactless and Continuous Method for Estimation of Heart Rate from Face

Nishath Ansari

Pratheepan Yogarajah

TM McGinnity

Philip Vance

Aaron Peace

2023/6/13

From Model to Appearance Based Autism Spectrum Disorder Classification: The Joint Energy Image

IEEE Access

Benn Henderson

Pratheepan Yogarajah

Bryan Gardiner

T Martin McGinnity

2023/11/6

The Multi-Recurrent Neural Network for State-Of-The-Art Time-Series Processing

Procedia Computer Science

Oluwatamilore Orojo

Jonathan Tepper

TM McGinnity

Mufti Mahmud

2023/1/1

A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets

SN Computer Science

Aboozar Taherkhani

Georgina Cosma

TM McGinnity

2023/10/28

In the hands of users with intellectual disabilities: co-designing tangible user interfaces for mental wellbeing

Personal and Ubiquitous Computing

Kieran Woodward

Eiman Kanjo

David J Brown

TM McGinnity

Gordon Harold

2023/10/3

Retinal pigment epithelial cells can be cultured on fluocinolone acetonide treated nanofibrous scaffold

Materials & Design

Biola F Egbowon

Enzo Fornari

Joseph M Pally

Alan J Hargreaves

Bob Stevens

...

2023/8/1

3D Human Pose Estimation Model Analysis: Gait Analytics for Autism Spectrum Disorder Detection

Benn Henderson

Yogarajah Pratheepan

Bryan Gardiner

T Martin McGinnity

2023/12/7

Assembly-based STDP: A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies

Vahid Saranirad

Shirin Dora

T Martin McGinnity

Damien Coyle

2022/7/18

Aligned Poly-l-lactic Acid Nanofibers Induce Self-Assembly of Primary Cortical Neurons into 3D Cell Clusters

ACS Biomaterials Science & Engineering

Nick Weir

Bob Stevens

Sarah Wagner

Amanda Miles

Graham Ball

...

2022/1/27

Utilization of SAM-based Network for Developing Function Approximation

Journal of Digital Information Management

Minoru Motoki

Hirohito Shintani

Kazunori Matsuo

Thomas Martin McGinnity

2022/12

Bioinspired Artificial Intelligence optimisation using High-Performance Computing

Vahid Saranirad

T Martin McGinnity

Shirin Dora

Damien Coyle

2022/11/10

Exploiting High Quality Tactile Sensors for Simplified Grasping

arXiv preprint arXiv:2207.12360

Pedro Machado

TM McGinnity

2022/7/25

Human vital sign determination using tactile sensing and fuzzy triage system

Expert Systems with Applications

Emmett Kerr

TM McGinnity

Sonya Coleman

Andrea Shepherd

2021/8/1

Sluggish state-based neural networks provide state-of-the-art forecasts of covid-19 cases

Oluwatamilore Orojo

Jonathan Tepper

TM McGinnity

Mufti Mahmud

2021

Variations in the oral microbiome are associated with depression in young adults

Scientific reports

Benjamin Wingfield

Coral Lapsley

Andrew McDowell

Georgios Miliotis

Margaret McLafferty

...

2021/7/22

Deep learning in mining biological data

Mufti Mahmud

M Shamim Kaiser

T Martin McGinnity

Amir Hussain

2021/1

DOB-SNN: a new neuron assembly-inspired spiking neural network for pattern classification

Vahid Saranirad

T Martin McGinnity

Shirin Dora

Damien Coyle

2021/7/18

See List of Professors in Thomas Martin McGinnity University(Ulster University)