We stand with Ukraine

We stand with Ukraine

Kevin Swingler

Orcid: 0000-0002-4517-9433

According to our database¹, Kevin Swingler authored at least 25 papers between 1993 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

1995

2000

2005

2010

2015

2020

0

1

2

3

4

5

3

1

2

2

1

2

1

1

2

2

1

1

1

2

1

1

1

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Combined Depth and Semantic Segmentation from Synthetic Data and a W-Net Architecture.

[BibT_eX]

[DOI]

,

,

,

,

,

Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024

2023

Text mining of veterinary forums for epidemiological surveillance supplementation.

[BibT_eX]

[DOI]

,

,

Franz Brülisauer

,

,

,

Soc. Netw. Anal. Min., December, 2023

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

[BibT_eX]

[DOI]

,

Keiller Nogueira

,

IEEE Access, 2023

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

[BibT_eX]

[DOI]

,

Keiller Nogueira

,

IEEE Access, 2023

2022

A Haptic Interface for Guiding People with Visual Impairment using Three Dimensional Computer Vision.

[BibT_eX]

[DOI]

,

Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

A Suite of Incremental Image Degradation Operators for Testing Image Classification Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

2020

Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples.

[BibT_eX]

[DOI]

Evol. Comput., 2020

Learning Spatial Relations with a Standard Convolutional Neural Network.

[BibT_eX]

[DOI]

,

Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

2018

A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter.

[BibT_eX]

[DOI]

Abdulrahman Alqarafi

,

,

Ahmad Y. A. Hawalah

,

,

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2016

Mixed order hyper-networks for function approximation and optimisation.

[BibT_eX]

[DOI]

PhD thesis, 2016

2015

High Capacity Content Addressable Memory with Mixed Order Hyper Networks.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence - International Joint Conference, 2015

A Comparison of Learning Rules for Mixed Order Hyper Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

,

Leslie S. Smith

Trans. Comput. Collect. Intell., 2014

Training and making calculations with mixed order hyper-networks.

[BibT_eX]

[DOI]

,

Leslie S. Smith

Neurocomputing, 2014

Opening the Black Box: Analysing MLP Functionality Using Walsh Functions.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence - International Joint Conference, 2014

A Walsh Analysis of Multilayer Perceptron Function.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

,

Leslie S. Smith

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.

[BibT_eX]

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.

[BibT_eX]

Proceedings of the NCTA 2011, 2011

2008

The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy.

[BibT_eX]

[DOI]

Paul Michael Godley

,

David E. Cairns

,

,

,

John A. W. McCall

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.

[BibT_eX]

,

,

Clare Leadbetter

,

,

,

Proceedings of the First International Conference on Health Informatics, 2008

1996

Producing a Neural Network for Monitoring Driver Alertness from Steering Actions.

[BibT_eX]

[DOI]

,

Leslie S. Smith

Neural Comput. Appl., 1996

Financial Prediction: Some Pointers, Pitfalls and Common Errors.

[BibT_eX]

[DOI]

Neural Comput. Appl., 1996

Applying neural networks - a practical guide.

[BibT_eX]

Academic Press, ISBN: 978-0-12-679170-9, 1996

1993

The filtered associative network.

[BibT_eX]

[DOI]

Leslie S. Smith

,

Proceedings of the 1st European Symposium on Artificial Neural Networks, 1993

Loading...