All Outputs (6)

A novel mirror neuron inspired decision-making architecture for human–robot interaction (2023)
Journal Article
Sobhani, M., Smith, J., Pipe, A., & Peer, A. (in press). A novel mirror neuron inspired decision-making architecture for human–robot interaction. International Journal of Social Robotics, https://doi.org/10.1007/s12369-023-00988-0

Inspired by the role of mirror neurons and the importance of predictions in joint action, a novel decision-making structure is proposed, designed and tested for both individual and dyadic action. The structure comprises models representing individual... Read More about A novel mirror neuron inspired decision-making architecture for human–robot interaction.

E-assessment of computer programming (2018)
Presentation / Conference
Gwynllyw, R., & Smith, J. (2018, September). E-assessment of computer programming. Paper presented at 12th International Symposium on Advances in Technology Education Nurturing Professionals for Smart Cities: Way Forward for Technology Education, Hong Kong

This paper demonstrates how we have used Dewis, an algorithmic open source e-assessment system, to automatically assess programming skills, in particular, in the C programming language. Teaching and assessing programming skills is challenging; prior... Read More about E-assessment of computer programming.

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

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

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.

Genetic algorithm and linear programing to solve a lot-sizing and scheduling problem (2003)
Presentation / Conference
Staggemeier, A. T., Clark, A., Smith, J., & Bull, L. (2003, April). Genetic algorithm and linear programing to solve a lot-sizing and scheduling problem. Paper presented at Proceedings of the 6th Biannual Model and Algorithms to Production and Scheduling Problems 2003, Aussois, France