Jim Smith's Outputs (136)

Human-machine interaction issues in quality control based on on-line image classification (2009)
Journal Article

This paper considers on a number of issues that arise when a trainable machine vision system learns directly from humans. We contrast this to the ldquonormalrdquo situation where machine learning (ML) techniques are applied to a ldquocleanedrdquo dat... Read More about Human-machine interaction issues in quality control based on on-line image classification.

Aspect oriented software fault tolerance (2009)
Presentation / Conference Contribution

A genetic approach to statistical disclosure control (2009)
Journal Article

Learning through programming games: Teaching AI with pacman and netlogo (2009)
Presentation / Conference Contribution

On human-machine interaction during online image classifier training (2008)
Presentation / Conference Contribution

Interactive parameter adaptation tool for image segmentation (2008)
Presentation / Conference Contribution

An on-line interactive self-adaptive image classification framework (2008)
Presentation / Conference Contribution

In this paper we present a novel image classification framework, which is able to automatically re-configure and adapt its feature-driven classifiers and improve its performance based on user interaction during on-line processing mode. Special emphas... Read More about An on-line interactive self-adaptive image classification framework.

Proposing a pre-processing optimisation applied to the classical integer programming model for statistical disclosure control (2008)
Presentation / Conference Contribution

Re-usable online assessment materials for teaching artificial intelligence (2008)
Presentation / Conference Contribution

A novel feature selection based semi-supervised method for image classification (2008)
Presentation / Conference Contribution

Memetic algorithms: The polynomial local search complexity theory perspective (2008)
Journal Article

In previous work (Krasnogor, http://www.cs.nott.ac.uk/~nxk/papers.html . In: Studies on the Theory and Design Space of Memetic Algorithms. Ph.D. thesis, University of the West of England, Bristol, UK, 2002; Krasnogor and Smith, IEEE Trans Evol Algori... Read More about Memetic algorithms: The polynomial local search complexity theory perspective.

Self-adaptation in evolutionary algorithms for combinatorial optimisation (2008)
Book Chapter

Feature selection using intensified tabu search for supervised classification (2008)
Book Chapter

Feature selection for heterogeneous ensembles of nearest neighbour classifiers using hybrid tabu search (2008)
Book Chapter

Pre-processing optimisation applied to the classical integer programming model for statistical disclosure control (2008)
Presentation / Conference Contribution

A pre-processing optimisation is proposed that can be applied to the integer and mixed integer linear programming models that are used to solve the cell suppression problem in statistical disclosure control. In this paper we report our initial findin... Read More about Pre-processing optimisation applied to the classical integer programming model for statistical disclosure control.

Improving our knowledge of metaheuristic approaches for cell suppression problem (2007)
Presentation / Conference Contribution

Computer vision applications - Special issue (2007)
Journal Article

This peer-reviewed international journal paper arose from a research collaboration which formed part of the PhD of a colleague and builds on previous conferences works [proceedings of "Adaptative Computing in Design and Manufacturing" 2002, 2005, pro... Read More about Computer vision applications - Special issue.

Parameter control in evolutionary algorithms (2007)
Journal Article

The issue of setting the values of various parameters of an evolutionary algorithm is crucial for good performance. In this paper we discuss how to do this, beginning with the issue of whether these values are best set in advance or are best changed... Read More about Parameter control in evolutionary algorithms.

On replacement strategies in steady state evolutionary algorithms (2007)
Journal Article

Steady State models of Evolutionary Algorithms are widely used, yet surprisingly little attention has been paid to the effects arising from different replacement strategies. This paper explores the use of mathematical models to characterise the selec... Read More about On replacement strategies in steady state evolutionary algorithms.

Coevolving memetic algorithms: A review and progress report (2007)
Journal Article

Coevolving memetic algorithms are a family of metaheuristic search algorithms in which a rule-based representation of local search (LS) is coadapted alongside candidate solutions within a hybrid evolutionary system. Simple versions of these systems h... Read More about Coevolving memetic algorithms: A review and progress report.