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2020 – today
- 2024
[c15]Kevin Swingler, Teri Rumble, Ross Goutcher, Paul Hibbard, Mark Donoghue, Dan Harvey:
Combined Depth and Semantic Segmentation from Synthetic Data and a W-Net Architecture. IJCCI 2024: 413-422- 2023
- [j8]Penny Johnston
, Keiller Nogueira, Kevin Swingler:
GMM-IL: Image Classification Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes. IEEE Access 11: 25492-25501 (2023) - [j7]Penny Johnston, Keiller Nogueira, Kevin Swingler:
NS-IL: Neuro-Symbolic Visual Question Answering Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes. IEEE Access 11: 141406-141420 (2023) - [j6]Samuel Munaf, Kevin Swingler, Franz Brülisauer, Anthony O'Hare, George J. Gunn, Aaron Reeves:
Text mining of veterinary forums for epidemiological surveillance supplementation. Soc. Netw. Anal. Min. 13(1): 121 (2023) - 2022
- [c14]Kevin Swingler:
A Suite of Incremental Image Degradation Operators for Testing Image Classification Algorithms. IJCCI 2022: 262-272 - [c13]Kevin Swingler, Chris Grigson:
A Haptic Interface for Guiding People with Visual Impairment using Three Dimensional Computer Vision. IJCCI 2022: 315-322 - [i1]Penny Johnston, Keiller Nogueira, Kevin Swingler:
GMM-IL: Image Classification using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes. CoRR abs/2212.00572 (2022) - 2020
- [j5]Kevin Swingler:
Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples. Evol. Comput. 28(2): 317-338 (2020) - [c12]Kevin Swingler, Mandy Bath:
Learning Spatial Relations with a Standard Convolutional Neural Network. IJCCI 2020: 464-470
2010 – 2019
- 2018
- [c11]Abdulrahman Alqarafi, Ahsan Adeel, Ahmad Y. A. Hawalah, Kevin Swingler, Amir Hussain:
A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter. BICS 2018: 589-596 - 2016
- [b2]Kevin Swingler:
Mixed order hyper-networks for function approximation and optimisation. University of Stirling, UK, 2016 - 2015
- [c10]Kevin Swingler:
A Comparison of Learning Rules for Mixed Order Hyper Networks. IJCCI (NCTA) 2015: 17-27 - [c9]Kevin Swingler:
High Capacity Content Addressable Memory with Mixed Order Hyper Networks. IJCCI (Selected Papers) 2015: 337-358 - 2014
- [j4]Kevin Swingler, Leslie S. Smith:
Training and making calculations with mixed order hyper-networks. Neurocomputing 141: 65-75 (2014) - [j3]Kevin Swingler, Leslie S. Smith:
An Analysis of the Local Optima Storage Capacity of Hopfield Network Based Fitness Function Models. Trans. Comput. Collect. Intell. 17: 248-271 (2014) - [c8]Kevin Swingler:
A Walsh Analysis of Multilayer Perceptron Function. IJCCI (NCTA) 2014: 5-14 - [c7]Kevin Swingler:
Opening the Black Box: Analysing MLP Functionality Using Walsh Functions. IJCCI (Selected Papers) 2014: 303-323 - 2013
- [c6]Kevin Swingler, Leslie S. Smith:
Mixed order associative networks for function approximation, optimisation and sampling. ESANN 2013 - 2012
- [c5]Kevin Swingler:
On the Capacity of Hopfield Neural Networks as EDAs for Solving Combinatorial Optimisation Problems. IJCCI 2012: 152-157 - 2011
- [c4]Kevin Swingler:
The Perils of Ignoring Data Suitability - The Suitability of Data used to Train Neural Networks Deserves More Attention. IJCCI (NCTA) 2011: 405-409
2000 – 2009
- 2008
- [c3]Julie Cowie, Kevin Swingler, Clare Leadbetter, Roma Maguire, Kathryn McCall, Nora Kearney:
ASYMS-SERAT: A Side-Effect Risk Assessment Tool to Predict Chemotherapy Related Toxicity in Patients with Cancer Receiving Chemotherapy. HEALTHINF (2) 2008: 225-230 - [c2]Paul Michael Godley, David E. Cairns, Julie Cowie, Kevin Swingler, John A. W. McCall:
The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy. GECCO 2008: 1105-1106
1990 – 1999
- 1996
- [b1]Kevin Swingler:
Applying neural networks - a practical guide. Academic Press 1996, ISBN 978-0-12-679170-9, pp. I-XVIII, 1-303 - [j2]Kevin Swingler, Leslie S. Smith:
Producing a Neural Network for Monitoring Driver Alertness from Steering Actions. Neural Comput. Appl. 4(2): 96-104 (1996) - [j1]Kevin Swingler:
Financial Prediction: Some Pointers, Pitfalls and Common Errors. Neural Comput. Appl. 4(4): 192-197 (1996) - 1993
- [c1]Leslie S. Smith, Kevin Swingler:
The filtered associative network. ESANN 1993
Coauthor Index
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