Derek Partridge

75 papers A* 2A 2C 4Misc 3Journal 49Unranked 9

Year	Rank	Type	Title / Venue / Authors
2014	J	`jnl`	Recursion Isn't Necessary for Human Language Processing: NEAR (Non-iterative Explicit Alternatives Rule) Grammars are Superior. Minds Mach. Kenneth R. Paap, Derek Partridge
2011	—	`book`	The Seductive Computer - Why IT Systems Always Fail. Derek Partridge
2010	J	`jnl`	A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems CoRR Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández
2007	J	`jnl`	Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications. IEEE Trans. Inf. Technol. Biomed. Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Timothy J. Coats, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández
2007	—	`ch.`	Estimating Classification Uncertainty of Bayesian Decision TreeTechnique on Financial Data. Perception-based Data Mining and Decision Making in Economics and Finance Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández
2007	J	`jnl`	Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases. Neural Comput. Appl. Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin
2006	—	`ch.`	A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems. Integrated Intelligent Systems for Engineering Design Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández
2006	C	`conf`	Classification with Confidence for Critical Systems. SSS Derek Partridge, Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Adolfo Hernández, Wojtek J. Krzanowski, Vitaly Schetinin
2006	J	`jnl`	Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique. J. Math. Model. Algorithms Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández
2006	J	`jnl`	Confidence in Classification: A Bayesian Approach. J. Classif. Wojtek J. Krzanowski, Trevor C. Bailey, Derek Partridge, Jonathan E. Fieldsend, Richard M. Everson, Vitaly Schetinin
2006	Misc	`conf`	Interpretability of Bayesian Decision Trees Induced from Trauma Data. ICAISC Derek Partridge, Vitaly Schetinin, Dayou Li, Timothy J. Coats, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey
2006	J	`jnl`	Journeys in non-classical computation II: initial journeys and waypoints. Int. J. Parallel Emergent Distributed Syst. Susan Stepney, Samuel L. Braunstein, John A. Clark, Andrew M. Tyrrell, Andrew Adamatzky, Robert E. Smith, Thomas R. Addis, Colin G. Johnson, Jonathan Timmis, Peter H. Welch, Robin Milner, Derek Partridge
2006	C	`conf`	Optimising Data-Driven Safety Related Systems. SSS Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin, Adolfo Hernández
2005	J	`jnl`	Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique CoRR Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández
2005	J	`jnl`	Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data CoRR Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández
2005	J	`jnl`	Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles CoRR Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernández
2005	J	`jnl`	Journeys in non-classical computation I: A grand challenge for computing research. Parallel Algorithms Appl. Susan Stepney, Samuel L. Braunstein, John A. Clark, Andrew M. Tyrrell, Andrew Adamatzky, Robert E. Smith, Tom Addis, Colin G. Johnson, Jonathan Timmis, Peter H. Welch, Robin Milner, Derek Partridge
2005	—	`conf`	Parameter Optimization for Image Segmentation Algorithms: A Systematic Approach. ICAPR (2) Maneesha Singh, Peng Wang, Derek Partridge
2005	J	`jnl`	The Bayesian Decision Tree Technique with a Sweeping Strategy CoRR Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández
2004	J	`jnl`	A knowledge-based framework for image enhancement in aviation security. IEEE Trans. Syst. Man Cybern. Part B Maneesha Singh, Peng Wang, Derek Partridge
2004	C	`conf`	Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles. IDEAL Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernández
2004	J	`jnl`	Feature ranking and best feature subset using mutual information. Neural Comput. Appl. Shuang Cang, Derek Partridge
2003	—	`conf`	Artificial Immune Systems and the Grand Challenge for Non-classical Computation. ICARIS Susan Stepney, John A. Clark, Colin G. Johnson, Derek Partridge, Robert E. Smith
2002	J	`jnl`	Multiple Classifier Systems: Software Engineered, Automatically Modular Leading to a Taxonomic Overview. Pattern Anal. Appl. Derek Partridge, Niall Griffith
2001	J	`jnl`	A Comparative Study of Feature-Salience Ranking Techniques. Neural Comput. Wenjia Wang, Phillis Jones, Derek Partridge
2001	—	`conf`	Efficient and Effective Feature Selection in the Presence of Feature Interaction and Noise. ICAPR Derek Partridge, Wenjia Wang, Phillis Jones
2001	J	`jnl`	Inductive Programming. Autom. Softw. Eng. Pierre Flener, Derek Partridge
2000	J	`jnl`	Assessing the Impact of Input Features in a Feedforward Neural Network. Neural Comput. Appl. Wenjia Wang, Phillis Jones, Derek Partridge
2000	—	`conf`	Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems. Multiple Classifier Systems Wenjia Wang, Phillis Jones, Derek Partridge
2000	—	`conf`	Identification of Feature-Salience. IJCNN (5) Wenjia Wang, Phillis Jones, Derek Partridge
2000	J	`jnl`	Non-programmed computation. Commun. ACM Derek Partridge
2000	—	`conf`	Self-Organizing Decomposition of Functions in the Context of a Unified Framework for Multiple Classifier Systems. Multiple Classifier Systems Niall Griffith, Derek Partridge
2000	Misc	`conf`	Systematic Treatment of Failures Using Multilayer Perceptrons. FLAIRS Fadzilah Siraj, Derek Partridge
1999	J	`jnl`	Empirical Studies Applied to Software Process Models. Empir. Softw. Eng. David Raffo, Timo Kaltio, Derek Partridge, Keith Phalp, Juan F. Ramil
1999	J	`jnl`	Why machines should analyse intention in natural language dialogue. Int. J. Hum. Comput. Stud. Paul McKevitt, Derek Partridge, Yorick Wilks
1998	Misc	`conf`	Multi-Version Systems of Neural Networks for Predicting the Risk of Osteoporosis. FLAIRS Wenjia Wang, Derek Partridge, Sarah Rae
1997	J	`jnl`	Software diversity: practical statistics for its measurement and exploitation. Inf. Softw. Technol. Derek Partridge, Wojtek J. Krzanowski
1997	J	`jnl`	The Case for Inductive Programming. Computer Derek Partridge
1996	J	`jnl`	Engineering multiversion neural-net systems. Neural Comput. Derek Partridge, William B. Yates
1996	J	`jnl`	Network generalization differences quantified. Neural Networks Derek Partridge
1996	J	`jnl`	Replicability of Neural Computing Experiments. Complex Syst. Derek Partridge, William B. Yates
1996	—	`ch.`	Representation of Knowledge. Artificial Intelligence Derek Partridge
1996	J	`jnl`	Use of Methological Diversity to Improve Neural Network Generalisation. Neural Comput. Appl. William B. Yates, Derek Partridge
1995	J	`jnl`	Language and Vision: A Single Perceptual Mechanism? Artif. Intell. Rev. Derek Partridge
1995	J	`jnl`	On the difficulty of really considering a radical novelty. Minds Mach. Derek Partridge
1995	J	`jnl`	Strategies for Improving Neural Net Generalisation. Neural Comput. Appl. Derek Partridge, Niall Griffith
1995	J	`jnl`	The specification of "specification". Minds Mach. Derek Partridge, Antony Galton
1994	J	`jnl`	Software Specification. Intell. Tutoring Media Derek Partridge
1993	J	`jnl`	Creativity: a survey of AI approaches. Artif. Intell. Rev. Jonathan E. Rowe, Derek Partridge
1992	J	`jnl`	Approaches to natural language discourse processing. Artif. Intell. Rev. Paul McKevitt, Derek Partridge, Yorick Wilks
1991	—	`book`	A new guide to artificial intelligence. Derek Partridge
1990	—	`conf`	Logic Programming and Program Synthesis. ICSI Yves Kodratoff, Marta Franová, Derek Partridge
1989	J	`jnl`	Editorial. Artif. Intell. Rev. Derek Partridge
1989	J	`jnl`	To add AI, or not to add AI? Knowl. Based Syst. Derek Partridge
1989	—	`conf`	Why and How Program Synthesis? AII Yves Kodratoff, Marta Franová, Derek Partridge
1988	A	`conf`	A Biologically Based Algorithm for Rapid Scene Analysis. ECAI Victor Johnston, Patricia Diane Lopez, Derek Partridge
1988	A	`conf`	AI Programs and Cognitive Models: Models of Perceptual Processes. ECAI Derek Partridge, Jim McDonald, Victor Johnston, Ken Paap
1988	J	`jnl`	An introduction to learning. Artif. Intell. Rev. Derek Partridge, Ken Paap
1987	J	`jnl`	Does AI have a methodology which is different from software engineering? Artif. Intell. Rev. Derek Partridge, Yorick Wilks
1987	J	`jnl`	Editorial. Artif. Intell. Rev. Derek Partridge
1987	J	`jnl`	Experiments with a Cognitive Industrial Robot. Int. J. Man Mach. Stud. Derek Partridge, Victor Johnston, Patricia Diane Lopez
1987	J	`jnl`	Human Decision Making & the Symbolic Search Space Paradigm in AI. AI Soc. Derek Partridge
1987	A*	`conf`	Surprisingness and Expectation Failure: What's the Difference? IJCAI Andrew Ortony, Derek Partridge
1987	J	`jnl`	The scope and limitations of first generation expert systems. Future Gener. Comput. Syst. Derek Partridge
1987	J	`jnl`	Workshop on the Foundations of AI: Final Report. AI Mag. Derek Partridge
1986	C	`conf`	Attentional Algorithms for Rapid Scene Analysis. IAS Victor Johnston, Patricia Diane Lopez, Derek Partridge, Clint Burleson
1986	J	`jnl`	Engineering artificial intelligence software. Artif. Intell. Rev. Derek Partridge
1985	A*	`conf`	Input-Expectation Discrepancy Reduction: A Ubiquitous Mechanism. IJCAI Derek Partridge
1985	J	`jnl`	Specifications and an Implementation of the Type-ambiguity Problem in Pascal. Softw. Pract. Exp. Derek Partridge
1978	—	`conf`	A Philosophy of "Wicked" Problem Implementation. AISB/GI (ECAI) Derek Partridge
1976	J	`jnl`	Compiling Techniques to Exploit the Pattern of Language Use. Softw. Pract. Exp. Derek Partridge, E. B. James
1976	J	`jnl`	Tolerance to Inaccuracy in Computer Programs. Comput. J. E. B. James, Derek Partridge
1975	J	`jnl`	A Dynamic Database Which Automatically Removes Unwanted Generalisation for the Efficient Analysis of Language Features that Exhibit a Disparate Frequency Distribution. Comput. J. Derek Partridge
1973	J	`jnl`	Adaptive Correction of Program Statements. Commun. ACM E. B. James, Derek Partridge
1972	—	`—`	Heuristic methods in the analysis of program statements. Derek Partridge