All Outputs (136)

Human-machine interaction issues in quality control based on on-line image classification (2009)
Journal Article
Lughofer, E., Smith, J., Tahir, M., Caleb-Solly, P., Eitzinger, C., Sannen, D., & Nuttin, M. (2009). Human-machine interaction issues in quality control based on on-line image classification. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 39(5), 960-971. https://doi.org/10.1109/TSMCA.2009.2025025

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
Hameed, K., Williams, R., & Smith, J. (2009, July). Aspect oriented software fault tolerance. Paper presented at 4th International Conference on Computer Science & Education (WCE09), Nanning, China

A genetic approach to statistical disclosure control (2009)
Journal Article
Smith, J., Clark, A., & Staggemeier, A. T. (2009). A genetic approach to statistical disclosure control

Learning through programming games: Teaching AI with pacman and netlogo (2009)
Presentation / Conference
Smith, J. (2009, June). Learning through programming games: Teaching AI with pacman and netlogo. Paper presented at Proceedings of the 5th UK Conference on AI in Education, Higher Education Academy Information and Computer Sciences Subject Centre (HEA-ICS)

On human-machine interaction during online image classifier training (2008)
Presentation / Conference
Lughofer, E., Smith, J., Tahir, M., Caleb-Solly, P., Eitzinger, C., Sannen, D., & van Brussels, H. (2008, December). On human-machine interaction during online image classifier training. Paper presented at Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA), Vienna, Austria

Interactive parameter adaptation tool for image segmentation (2008)
Presentation / Conference
Pauplin, O., Caleb-Solly, P., & Smith, J. (2008, July). Interactive parameter adaptation tool for image segmentation. Paper presented at IADIS Computer Graphics and Visualization 2008 (CGV 2008) Conference, Amsterdam, The Netherlands

An on-line interactive self-adaptive image classification framework (2008)
Journal Article
Sannen, D., Nuttin, M., Smith, J., Tahir, M. A., Caleb-Solly, P., Lughofer, E., & Eitzinger, C. (2008). An on-line interactive self-adaptive image classification framework. Lecture Notes in Artificial Intelligence, 5008 LNCS, 171-180. https://doi.org/10.1007/978-3-540-79547-6_17

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
Serpell, M., Clark, A., Smith, J., & Staggemeier, A. T. (2008, June). Proposing a pre-processing optimisation applied to the classical integer programming model for statistical disclosure control. Paper presented at PSD '08 Proceedings of the UNESCO Chair in data privacy international conference on Privacy in Statistical Databases

Re-usable online assessment materials for teaching artificial intelligence (2008)
Presentation / Conference
Smith, J. (2008, June). Re-usable online assessment materials for teaching artificial intelligence. Paper presented at Proceedings of the 4th UK Conference on AI in Education, Higher Education Academy Information and Computer Sciences Subject Centre (HEA-ICS)

A novel feature selection based semi-supervised method for image classification (2008)
Presentation / Conference
Tahir, M. A., Smith, J., & Caleb-Solly, P. (2008, June). A novel feature selection based semi-supervised method for image classification. Paper presented at Proceedings of 6th International Conference on Computer Vision Systems

Memetic algorithms: The polynomial local search complexity theory perspective (2008)
Journal Article
Krasnogor, N., & Smith, J. (2008). Memetic algorithms: The polynomial local search complexity theory perspective. Journal of Mathematical Modelling and Algorithms, 7(1), 3-24. https://doi.org/10.1007/s10852-007-9070-9

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.

Pre-processing optimisation applied to the classical integer programming model for statistical disclosure control (2008)
Conference Proceeding
Staggemeier, A., Serpell, M., Clark, A., & Smith, J. (2008). Pre-processing optimisation applied to the classical integer programming model for statistical disclosure control. . https://doi.org/10.1007/978-3-540-87471-3_3

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.

Self-adaptation in evolutionary algorithms for combinatorial optimisation (2008)
Book Chapter
Smith, J. (2008). Self-adaptation in evolutionary algorithms for combinatorial optimisation. In C. Cotta, M. Sevaux, & K. Sorenson (Eds.), Adaptive and Multilevel Metaheuristics (31-57). Berlin, Heidelberg, New York: Springer

Feature selection using intensified tabu search for supervised classification (2008)
Book Chapter
Tahir, M. A., & Smith, J. (2008). Feature selection using intensified tabu search for supervised classification. In W. Jaziri (Ed.), Local Search Techniques: Focus on Tabu Search. Vienna, Austria: In-Tech Publishing. https://doi.org/10.5772/5590

Feature selection for heterogeneous ensembles of nearest neighbour classifiers using hybrid tabu search (2008)
Book Chapter
Tahir, M., & Smith, J. (2008). Feature selection for heterogeneous ensembles of nearest neighbour classifiers using hybrid tabu search. In P. Siarry, & Z. Michalewicz (Eds.), Advances in Metaheuristics for Hard Optimization (69-85). Berlin, Heidelberg, New York: Springer

Improving our knowledge of metaheuristic approaches for cell suppression problem (2007)
Presentation / Conference
Staggemeier, A. T., Clark, A., Smith, J., & Thompson, J. (2007, December). Improving our knowledge of metaheuristic approaches for cell suppression problem. Paper presented at Proceedings of Joint UNECE/Eurostat work session on statistical data confidentiality, Manchester, UK

Computer vision applications - Special issue (2007)
Journal Article
Smith, L. N., Smith, M. L., Caleb-Solly, P., & Smith, J. (2007). Computer vision applications - Special issue. Image and Vision Computing, 25(7), 1035-1036. https://doi.org/10.1016/j.imavis.2007.04.001

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
Eiben, A., Michalewicz, Z., Schoenauer, M., & Smith, J. (2007). Parameter control in evolutionary algorithms. Studies in Computational Intelligence, 54, 19-46. https://doi.org/10.1007/978-3-540-69432-8_2

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
Smith, J. (2007). On replacement strategies in steady state evolutionary algorithms. Evolutionary Computation, 15(1), 29-59. https://doi.org/10.1162/evco.2007.15.1.29

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
Smith, J. (2007). Coevolving memetic algorithms: A review and progress report. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 37(1), 6-17. https://doi.org/10.1109/TSMCB.2006.883273

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.