Nonso Nnamoko

According to our database, Nonso Nnamoko authored at least 18 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Personalised Affective Classification Through Enhanced EEG Signal Analysis.

Joseph Barrowclough, Nonso Nnamoko, Ioannis Korkontzelos

Appl. Artif. Intell., December, 2025

Predicting Student Academic Outcome Using Online Behavioural Statistics and Neighbourhood Influences: A Machine Learning Approach.

Nonso Nnamoko, Joseph Barrowclough, Babatunde Onikoyi, Mark Liptrott

SN Comput. Sci., August, 2025

Connecting Vision and Emissions: A Behavioural AI Approach to Carbon Estimation in Road Design.

Ammar K. Al Mhdawi, Nonso Nnamoko, Safanah Mudheher Raafat, M. K. S. Al-Mhdawi, Amjad J. Humaidi

CoRR, June, 2025

2024

Fine-Grained Food Image Recognition: A Study on Optimising Convolutional Neural Networks for Improved Performance.

Liam Boyd, Nonso Nnamoko, Ricardo Lopes

J. Imaging, June, 2024

Automatic language ability assessment method based on natural language processing.

Nonso Nnamoko, Themis Karaminis, Jack Procter, Joseph Barrowclough, Ioannis Korkontzelos

Nat. Lang. Process. J., 2024

2023

FridgeSnap: A software for recipe suggestion based on food image classification.

Liam Boyd, Nonso Nnamoko

Softw. Impacts, November, 2023

TrackEd: An emotion tracking tool for e-meeting platforms.

Jamie McGrath, Nonso Nnamoko

Softw. Impacts, September, 2023

Gender prediction with descriptive textual data using a Machine Learning approach.

Babatunde Onikoyi, Nonso Nnamoko, Ioannis Korkontzelos

Nat. Lang. Process. J., 2023

2022

CyberSignature: A user authentication tool based on behavioural biometrics.

Nonso Nnamoko, Ioannis Korkontzelos, Joseph Barrowclough, Mark Liptrott

Softw. Impacts, December, 2022

2021

Personalised Accelerometer Cut-point Prediction for Older Adults' Movement Behaviours using a Machine Learning approach.

Nonso Nnamoko, Luis Adrián Cabrera-Diego, Daniel Campbell, George Sanders, Stuart Fairclough, Ioannis Korkontzelos

Comput. Methods Programs Biomed., 2021

2020

Efficient treatment of outliers and class imbalance for diabetes prediction.

Nonso Nnamoko, Ioannis Korkontzelos

Artif. Intell. Medicine, 2020

2019

Bug Severity Prediction Using a Hierarchical One-vs.-Remainder Approach.

Nonso Nnamoko, Luis Adrián Cabrera-Diego, Daniel Campbell, Yannis Korkontzelos

Proceedings of the Natural Language Processing and Information Systems, 2019

2018

Ensemble-based supervised learning for predicting diabetes onset.

Nonso Alexanda Nnamoko

PhD thesis, 2018

Predicting Diabetes Onset: An Ensemble Supervised Learning Approach.

Nonso Nnamoko, Abir Hussain, David England

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2015

Improving Healthcare System Usability Without Real Users: A Semi-Parallel Design Approach.

Farath N. Arshad, Nonso Nnamoko, James Wilson, Bibhas Roy, Mark Taylor

Int. J. Heal. Inf. Syst. Informatics, 2015

2014

Patient-reported outcome measures: an on-line system empowering patient choice.

James Wilson, Farath N. Arshad, Nonso Nnamoko, A. Whiteman, J. Ring, Bibhas Roy

J. Am. Medical Informatics Assoc., 2014

Meta-classification model for diabetes onset forecast: A proof of concept.

Nonso Alexanda Nnamoko, Farath N. Arshad, David England, Jiten Vora

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013

Fuzzy Expert System for Type 2 Diabetes Mellitus (T2DM) Management Using Dual Inference Mechanism.

Nonso Nnamoko, Farath N. Arshad, David England, Jiten Vora

Proceedings of the Data Driven Wellness: From Self-Tracking to Behavior Change, 2013