The filtered associative network. - Leslie S. Smith; Kevin Swingler (ESANN, 1993)

Applying neural networks - a practical guide. - Kevin Swingler (Academic Press, 1996)

Financial Prediction: Some Pointers, Pitfalls and Common Errors. - Kevin Swingler (Neural Comput. Appl., 1996)

Producing a Neural Network for Monitoring Driver Alertness from Steering Actions. - Kevin Swingler; Leslie S. Smith (Neural Comput. Appl., 1996)

ASYMS-SERAT: A Side-Effect Risk Assessment Tool to Predict Chemotherapy Related Toxicity in Patients with Cancer Receiving Chemotherapy. - Julie Cowie; Kevin Swingler; Clare Leadbetter; Roma Maguire; Kathryn McCall; Nora Kearney (HEALTHINF (2), 2008)

The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy. - Paul Michael Godley; David E. Cairns; Julie Cowie; Kevin Swingler; John A. W. McCall (GECCO, 2008)

The Perils of Ignoring Data Suitability - The Suitability of Data used to Train Neural Networks Deserves More Attention. - Kevin Swingler (IJCCI (NCTA), 2011)

On the Capacity of Hopfield Neural Networks as EDAs for Solving Combinatorial Optimisation Problems. - Kevin Swingler (IJCCI, 2012)

Mixed order associative networks for function approximation, optimisation and sampling. - Kevin Swingler; Leslie S. Smith (ESANN, 2013)

A Walsh Analysis of Multilayer Perceptron Function. - Kevin Swingler (IJCCI (NCTA), 2014)

Opening the Black Box: Analysing MLP Functionality Using Walsh Functions. - Kevin Swingler (IJCCI (Selected Papers), 2014)

Training and making calculations with mixed order hyper-networks. - Kevin Swingler; Leslie S. Smith (Neurocomputing, 2014)

An Analysis of the Local Optima Storage Capacity of Hopfield Network Based Fitness Function Models. - Kevin Swingler; Leslie S. Smith (Trans. Comput. Collect. Intell., 2014)

A Comparison of Learning Rules for Mixed Order Hyper Networks. - Kevin Swingler (IJCCI (NCTA), 2015)

High Capacity Content Addressable Memory with Mixed Order Hyper Networks. - Kevin Swingler (IJCCI (Selected Papers), 2015)

Mixed order hyper-networks for function approximation and optimisation. - Kevin Swingler (2016)

A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter. - Abdulrahman Alqarafi; Ahsan Adeel; Ahmad Y. A. Hawalah; Kevin Swingler; Amir Hussain 001 (BICS, 2018)

Learning Spatial Relations with a Standard Convolutional Neural Network. - Kevin Swingler; Mandy Bath (IJCCI, 2020)

Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples. - Kevin Swingler (Evol. Comput., 2020)

A Suite of Incremental Image Degradation Operators for Testing Image Classification Algorithms. - Kevin Swingler (IJCCI, 2022)

A Haptic Interface for Guiding People with Visual Impairment using Three Dimensional Computer Vision. - Kevin Swingler; Chris Grigson (IJCCI, 2022)

GMM-IL: Image Classification Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes. - Penny Johnston; Keiller Nogueira; Kevin Swingler (IEEE Access, 2023)

NS-IL: Neuro-Symbolic Visual Question Answering Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes. - Penny Johnston; Keiller Nogueira; Kevin Swingler (IEEE Access, 2023)

Text mining of veterinary forums for epidemiological surveillance supplementation. - Samuel Munaf; Kevin Swingler; Franz Brülisauer; Anthony O'Hare; George J. Gunn; Aaron Reeves (Soc. Netw. Anal. Min., 2023)

Combined Depth and Semantic Segmentation from Synthetic Data and a W-Net Architecture. - Kevin Swingler; Teri Rumble; Ross Goutcher; Paul Hibbard; Mark Donoghue; Dan Harvey (IJCCI, 2024)