Kevin Swingler

发表

Opening the Black Box: Analysing MLP Functionality Using Walsh Functions

Kevin Swingler, 2014, IJCCI.

From Steering to Alertness: Non-intrusive Driver Monitoring

Leslie S. Smith, Kevin Swingler, 1998 .

Mixed order hyper-networks for function approximation and optimisation

Kevin Swingler, K. Swingler, Kevin Swingler, 2016 .

Applying neural networks - a practical guide

Kevin Swingler, K. Swingler, Kevin Swingler, 1996 .

Training and making calculations with mixed order hyper-networks

Leslie S. Smith, Kevin Swingler, K. Swingler, 2014, Neurocomputing.

On the Capacity of Hopfield Neural Networks as EDAs for Solving Combinatorial Optimisation Problems

Kevin Swingler, 2012, IJCCI.

A comparison of learning rules for Mixed Order Hyper Networks

Kevin Swingler, 2015, 2015 7th International Joint Conference on Computational Intelligence (IJCCI).

Structure discovery in mixed order hyper networks

Kevin Swingler, K. Swingler, 2016 .

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

Amir Hussain, Ahsan Adeel, Kevin Swingler, 2018, BICS.

The filtered associative network

Leslie S. Smith, Kevin Swingler, 1993, ESANN.

Making Decisions with Data: Using Computational Intelligence within a Business Environment

Kevin Swingler, David E. Cairns, David Cairns, 2009 .

The Perils of Ignoring Data Suitability - The Suitability of Data used to Train Neural Networks Deserves More Attention

Kevin Swingler, K. Swingler, Kevin Swingler, 2011, IJCCI.

A Walsh Analysis of Multilayer Perceptron Function

Kevin Swingler, 2014, IJCCI.

Producing a neural network for monitoring driver alertness from steering actions

Leslie S. Smith, Kevin Swingler, 2005, Neural Computing & Applications.

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

John A. W. McCall, Julie Cowie, Kevin Swingler, 2008, GECCO '08.

Learning and Searching Pseudo-Boolean Surrogate Functions from Small Samples

Kevin Swingler, 2019, Evolutionary Computation.

Financial prediction: Some pointers, pitfalls and common errors

Kevin Swingler, Kevin Swingler, 1996, Neural Computing & Applications.

Mixed order associative networks for function approximation, optimisation and sampling

Leslie S. Smith, Kevin Swingler, 2013, ESANN.

An Analysis of the Local Optima Storage Capacity of Hopfield Network Based Fitness Function Models

Leslie S. Smith, Kevin Swingler, 2014, Trans. Comput. Collect. Intell..

Learning Spatial Relations with a Standard Convolutional Neural Network

Kevin Swingler, Mandy Bath, Kevin Swingler, 2020, IJCCI.

High Capacity Content Addressable Memory with Mixed Order Hyper Networks

Kevin Swingler, 2015, IJCCI.

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, 2008, HEALTHINF.