| Skip to main content | Skip to sub navigation |
This is now an inactive research group it's members have moved on. You can find them at their new research groups:

ECS Intranet:
Classification of Imbalanced Materials Data

Projects

Other EPSRC Funded Projects

This project investigates the problem of classifying and predicting fatigue crack initiation sites, through microstructure quantification in Austempered Ductile Iron. The aim of this work is to build data driven classifiers that provide enhanced understanding of a system through the ability to visualise input/output relationships, as well as providing good predictive performance for a set of imbalanced data.

Type: Postgraduate Research
Research Group: Information: Signals, Images, Systems Research Group
Theme: Machine Learning
Dates: ? to ?

Funding

Principal Investigators

Other Investigators

URI: http://id.ecs.soton.ac.uk/project/236
RDF: http://rdf.ecs.soton.ac.uk/project/236

More information on ECS URIs and RDF

Associated Publications

Welcome to ePrints Soton - ePrints Soton
The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Welcome to ePrints Soton

Welcome to the University of Southampton Institutional Research Repository, ePrints Soton. This repository contains details and, if available, downloads of our research output.

Information on this website should be updated via PURE, our research management system. For issues and queries on outputs and open access, please contact the ePrints team at eprints@soton.ac.uk or view the University's Pure support pages.

Search Repository

Search the repository using a full range of fields. Use the search field at the top of the page for a quick search.

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×