Knowledge extraction from radial basis function networks and multilayer perceptrons. - Kenneth J. McGarry; Stefan Wermter; John MacIntyre (IJCNN, 1999)

Knowledge Extraction from Local Function Networks. - Kenneth McGarry; Stefan Wermter; John MacIntyre (IJCAI, 2001)

The Extraction and Comparison of Knowledge from Local Function Networks. - Kenneth McGarry; Stefan Wermter; John MacIntyre (Int. J. Comput. Intell. Appl., 2001)

Data Mining and User Profiling for An E-Commerce System. - Kenneth McGarry; Andrew Martin; Jonathan Francis Dale Addison; John MacIntyre (FSKD, 2002)

Rule extraction and knowledge transfer from radial basis function neural networks. - Kenneth J. McGarry (2002)

Using neuro-fuzzy techniques based on a two-stage mapping model for concept-based image database indexing. - Chih-Fong Tsai; Kenneth McGarry; John Tait (ISMSE, 2003)

Image classification using hybrid neural networks. - Chih-Fong Tsai; Kenneth McGarry; John Tait (SIGIR, 2003)

Training without data: Knowledge Insertion into RBF Neural Networks. - Kenneth McGarry; Stefan Wermter (IJCAI, 2005)

Spatio-temporal neural data mining architecture in learning robots. - James Malone; Mark Elshaw; Ken McGarry; Chris Bowerman; Stefan Wermter (IJCNN, 2005)

A survey of interestingness measures for knowledge discovery. - Kenneth McGarry (Knowl. Eng. Rev., 2005)

Data Mining and User Profiling for an E-Commerce System. - Kenneth McGarry; Andrew Martin; Jonathan Francis Dale Addison (Classification and Clustering for Knowledge Discovery, 2005)

Recent trends in knowledge and data integration for the life sciences. - Kenneth McGarry; Sheila Garfield; Nick Morris (Expert Syst. J. Knowl. Eng., 2006)

Automated trend analysis of proteomics data using an intelligent data mining architecture. - James Malone; Kenneth McGarry; Chris Bowerman (Expert Syst. Appl., 2006)

Qualitative evaluation of automatic assignment of keywords to images. - Chih-Fong Tsai; Kenneth McGarry; John Tait (Inf. Process. Manag., 2006)

Data mining using rule extraction from Kohonen self-organising maps. - James Malone; Kenneth McGarry; Stefan Wermter; Chris Bowerman (Neural Comput. Appl., 2006)

CLAIRE: A modular support vector image indexing and classification system. - Chih-Fong Tsai; Kenneth McGarry; John Tait (ACM Trans. Inf. Syst., 2006)

Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks. - Kenneth McGarry; Sheila Garfield; Stefan Wermter (CBMS, 2007)

Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery. - Kenneth McGarry; Sheila Garfield; Nick Morris; Stefan Wermter (NeSy, 2007)

Integrating Gene Expression Data from Microarrays Using the Self-Organising Map and the Gene Ontology. - Kenneth McGarry; Mohammad Sarfraz; John MacIntyre (PRIB, 2007)

A Fast Multivariate Nearest Neighbour Imputation Algorithm. - Norman Solomon; Giles Oatley; Kenneth McGarry (World Congress on Engineering, 2007)

A Dynamic Method for the Evaluation and Comparison of Imputation Techniques. - Norman Solomon; Giles Oatley; Kenneth McGarry (World Congress on Engineering, 2007)

A multi-layered approach to protein data integration for diabetes research. - Kenneth McGarry; James Chambers; Giles Oatley (Artif. Intell. Medicine, 2007)

Exploratory Data Analysis for Investigating GC-MS Biomarkers. - Kenneth McGarry; Kim Bartlett; Morteza Pourfarzam (PRIB, 2008)

Discovery of functional protein groups by clustering community links and integration of ontological knowledge. - Ken McGarry (Expert Syst. Appl., 2013)

Computational techniques for identifying networks of interrelated diseases. - Ken McGarry; Ukeme Daniel (UKCI, 2014)

LocalContent: a personal scientific document retrieval system. - Chih-Fong Tsai; Shih-Wen Ke; Kenneth McGarry; Ming-Yi Lin (Electron. Libr., 2015)

Complex Network Based Computational Techniques for 'Edgetic' Modelling of Mutations Implicated with Cardiovascular Disease. - Ken McGarry; Kirsty Emery; Vithusa Varnakulasingam; Sharon McDonald; Mark Ashton (UKCI, 2016)

Bioinformatic Analysis Using Complex Networks and Clustering Proteins Linked with Alzheimer's Disease. - Suthinan Rujirapipat; Ken McGarry; David Nelson (UKCI, 2016)

Computational methods for text mining user posts on a popular gaming forum for identifying user experience issues. - Ken McGarry; Sharon McDonald (BCS HCI, 2017)

Integrating Association Rules Mined from Health-Care Data with Ontological Information for Automated Knowledge Generation. - John Heritage; Sharon McDonald; Ken McGarry (UKCI, 2017)

Data Integration with Self-organising Neural Network Reveals Chemical Structure and Therapeutic Effects of Drug ATC Codes. - Ken McGarry; Ennock Assamoha (UKCI, 2017)

Complex network theory for the identification and assessment of candidate protein targets. - Ken McGarry; Sharon McDonald (Comput. Biol. Medicine, 2018)

RESKO: Repositioning drugs by using side effects and knowledge from ontologies. - Ken McGarry; Yitka Graham; Sharon McDonald; Anuam Rashid (Knowl. Based Syst., 2018)

The development of a predictive model to identify potential HIV-1 attachment inhibitors. - Amer Hosny; Mark Ashton; Yu Gong; Ken McGarry (Comput. Biol. Medicine, 2020)

A Method to Explore the Connectivity Patterns of Proteins and Drugs for Identifying Disease Communities. - Ken McGarry; David Nelson; Mark Ashton (SN Comput. Sci., 2020)

Hidden Markov Models for Surprising Pattern Detection in Discrete Symbol Sequence Data. - Ken McGarry (SGAI Conf., 2022)

Graph Theoretic and Stochastic Block Models Integrated with Matrix Factorization for Community Detection. - Ken McGarry (UKCI, 2022)

A Literature Survey of Recent Advances in Chatbots. - Guendalina Caldarini; Sardar F. Jaf; Kenneth McGarry (Inf., 2022)

Quantitative Approach of Geospatial Sentiment Analysis to Reveal Opinions on the War in Ukraine. - Chris Prusakiewicz; Ken McGarry (SGAI Conf., 2023)

Analyzing Social Media Data Using Sentiment Mining and Bigram Analysis for the Recommendation of YouTube Videos. - Ken McGarry (Inf., 2023)

It Won't Happen to Me: Surveying SME Attitudes to Cyber-security. - Martin Wilson; Sharon McDonald; Dominic Button; Kenneth McGarry (J. Comput. Inf. Syst., 2023)

Exploring the Application of Transfer Learning in Malware Detection by Fine-tuning Pre-Trained Models on Binary Classification to New Datasets on Multi-class Classification. - Bamidele Ajayi; Basel Barakat; Ken McGarry; Mays Abukeshek (ICAC, 2024)

Leveraging VAE-Derived Latent Spaces for Enhanced Malware Detection with Machine Learning Classifiers. - Bamidele Ajayi; Basel Barakat; Ken McGarry (CoRR, 2025)