Kevin Swingler

Orcid: 0000-0002-4517-9433

According to our database1, Kevin Swingler authored at least 24 papers between 1993 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Text mining of veterinary forums for epidemiological surveillance supplementation.
Soc. Netw. Anal. Min., December, 2023

NS-IL: Neuro-Symbolic Visual Question Answering Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes.
IEEE Access, 2023

GMM-IL: Image Classification Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes.
IEEE Access, 2023

2022
A Haptic Interface for Guiding People with Visual Impairment using Three Dimensional Computer Vision.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

A Suite of Incremental Image Degradation Operators for Testing Image Classification Algorithms.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

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

Learning Spatial Relations with a Standard Convolutional Neural Network.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

2018
A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2016
Mixed order hyper-networks for function approximation and optimisation.
PhD thesis, 2016

2015
High Capacity Content Addressable Memory with Mixed Order Hyper Networks.
Proceedings of the Computational Intelligence - International Joint Conference, 2015

A Comparison of Learning Rules for Mixed Order Hyper Networks.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

2014
An Analysis of the Local Optima Storage Capacity of Hopfield Network Based Fitness Function Models.
Trans. Comput. Collect. Intell., 2014

Training and making calculations with mixed order hyper-networks.
Neurocomputing, 2014

Opening the Black Box: Analysing MLP Functionality Using Walsh Functions.
Proceedings of the Computational Intelligence - International Joint Conference, 2014

A Walsh Analysis of Multilayer Perceptron Function.
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

2013
Mixed order associative networks for function approximation, optimisation and sampling.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
On the Capacity of Hopfield Neural Networks as EDAs for Solving Combinatorial Optimisation Problems.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

2011
The Perils of Ignoring Data Suitability - The Suitability of Data used to Train Neural Networks Deserves More Attention.
Proceedings of the NCTA 2011, 2011

2008
The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

ASYMS-SERAT: A Side-Effect Risk Assessment Tool to Predict Chemotherapy Related Toxicity in Patients with Cancer Receiving Chemotherapy.
Proceedings of the First International Conference on Health Informatics, 2008

1996
Producing a Neural Network for Monitoring Driver Alertness from Steering Actions.
Neural Comput. Appl., 1996

Financial Prediction: Some Pointers, Pitfalls and Common Errors.
Neural Comput. Appl., 1996

Applying neural networks - a practical guide.
Academic Press, ISBN: 978-0-12-679170-9, 1996

1993
The filtered associative network.
Proceedings of the 1st European Symposium on Artificial Neural Networks, 1993


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