Overview
Derek Partridge was educated within the University of London, receiving a PhD in Computer Science from Imperial College in 1972. For the next fifteen years he pursued an academic career in Computer Science in universities abroad Kenya, Australia, but mostly in the USA. In 1987 he returned to the UK to the Chair of Computer Science at the University of Exeter where he was department head from 1989 to 1994.
Research Interests
- inductive programming,
- multiversion software engineering,
- neural computing,
- data mining,
- software reliability
Teaching Interests
Teaching interests are very broad but mainly centre around artificial intelligence and software engineering with an emphasis on technical communication skills both verbal and written. I also teach Research Methodology to postgraduate students.
Publications
Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.
2007
- Schetinin V, Fieldsend J, Partridge DP, Coates TJ, Krzanowski WJ, Bailey TC, Everson RM, Hernandez A. (2007) Confident interpretation of Bayesian decision tree ensembles for clinical applications, IEEE Transactions on Information Technology in Biomedicine, volume 11, no. 3, pages 312-319, DOI:10.1109/TITB.2006.880553.
2004
- Partridge DP, Singh M, Singh S. (2004) A Knowledge-Based Framework for Image Enhancement in Aviation Security, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), volume 34, no. 6, pages 2354-2365, DOI:10.1109/TSMCB.2004.835077.
2002
- Partridge DP, Griffith N. (2002) Multiple classifier systems: software engineered, automatically modular leading to a taxonomic overview, Pattern Analysis & Applications, volume 5, no. 2, pages 180-188, DOI:10.1007/s100440200016.
2001
- Partridge DP, Jones P, Wang W. (2001) A comparative study of feature salience ranking techniques, Neural Computation, volume 13, no. 7, pages 1603-1623, DOI:10.1162/089976601750265027.
- Flener, P.. (2001) Inductive Programming, Automated Software Engineering, volume 8, no. 2, pages 131-137.
Further information
Recent Books
Two recent new books summarize my current research interest:
1. The Seductive Computer: why IT systems always fail published by Springer in 2011
This book explains why the discrete complexity of IT is so difficult to manage and control when used to build large software systems. It concludes by listing the 12 weaknesses of this amazingly productive technology.
2. What Makes You Clever: the puzzle of intelligence published by World Scientific in 2014
This books explains why artificial intelligence, cognitive psychology and brain-scan sciences have made so little headway since Turing in 1950 proposed his famous test. Yet we regularly get announcements of computers becoming intelligent very soon. Why has modern science made so little progress with this particular problem? And why are we so constantly asked to believe that the problem is all but solved?