Evolving software test data: GA's learn self expression
(1996)
Book Chapter
Smith, J., & Fogarty, T. (1996). Evolving software test data: GA's learn self expression. In T. Fogarty (Ed.), Evolutionary Computing (137-146). Springer
Outputs (126)
Visualising state space representations of LSTM networks
Presentation / Conference
Smith, E. M., Smith, J., Legg, P., & Francis, S. Visualising state space representations of LSTM networks. Presented at Workshop on Visualization for AI Explainability, Berlin, GermanyLong Short-Term Memory (LSTM) networks have proven to be one of the most effective models for making predictions on sequence-based tasks. These models work by capturing, remembering, and forgetting information relevant to their future predictions. Th... Read More about Visualising state space representations of LSTM networks.
Making early predictions of the accuracy of machine learning applications
Working Paper
Smith, J., Caleb-Solly, P., Tahir, M. A., Sannen, D., & van-Brussel, H. (2012). Making early predictions of the accuracy of machine learning applications
Teaching artificial intelligence with pac-man
Working Paper
Smith, J. (2009). Teaching artificial intelligence with pac-man
Credit assignment in adaptive memetic algorithms
Presentation / Conference
Smith, J. Credit assignment in adaptive memetic algorithms. Paper presented at Proceedings of Gecco, the ACM-SIGEVO Conference on Evolutionary Computation, Springer, Berlin, Heidelberg, New York
Stop wasting time: On predicting the success or failure of learning for industrial applications
Presentation / Conference
Smith, J., & Tahir, M. Stop wasting time: On predicting the success or failure of learning for industrial applications. Paper presented at Proceedings of the 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'08), Springer, Berlin, Heidelberg, New York
Incorporation of adaptive mutation based on subjective evaluation in an interactive evolution strategy
Presentation / Conference
Caleb-Solly, P., & Smith, J. Incorporation of adaptive mutation based on subjective evaluation in an interactive evolution strategy. Paper presented at Proceedings of the IEEE Congress on Evolutionary Computation, Piscataway, NJ
What have gene libraries done for AIS?
Presentation / Conference
Cayzer, S., Smith, J., Marshall, J., & Kovacs, T. What have gene libraries done for AIS?. Paper presented at Proceedings of ICARIS 2005: 4th International Conference on Artificial Immune Systems, Springer, Berlin, Heidelberg, New York
Interactive evolutionary strategy based discovery of image segmentation parameters
Presentation / Conference
Caleb-Solly, P., & Smith, J. Interactive evolutionary strategy based discovery of image segmentation parameters. Paper presented at Adaptive Computing in Design and Manufacture VI, Springer, Berlin, Heidelberg, New York
Study of fitness landscapes for the HP model of protein structure prediction
Presentation / Conference
Duarte-Flores, S., & Smith, J. Study of fitness landscapes for the HP model of protein structure prediction. Paper presented at 2003 Congress on Evolutionary Computation (CEC'2003), Piscataway, NJ