Martin Neil

According to our database1, Martin Neil authored at least 49 papers between 1990 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




An improved method for solving Hybrid Influence Diagrams.
Int. J. Approx. Reasoning, 2018

Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization.
IEEE Access, 2018

The opportunity prior: a simple and practical solution to the prior probability problem for legal cases.
Proceedings of the 16th edition of the International Conference on Articial Intelligence and Law, 2017

How to model mutually exclusive events based on independent causal pathways in Bayesian network models.
Knowl.-Based Syst., 2016

A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study.
Expert Syst. Appl., 2016

Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved.
Expert Syst. Appl., 2016

Region Based Approximation for High Dimensional Bayesian Network Models.
CoRR, 2016

Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences.
Artificial Intelligence in Medicine, 2016

Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks.
IEEE Software, 2014

Bayesian network approach to multinomial parameter learning using data and expert judgments.
Int. J. Approx. Reasoning, 2014

Calculating and understanding the value of any type of match evidence when there are potential testing errors.
Artif. Intell. Law, 2014

An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks.
Knowl.-Based Syst., 2013

A General Structure for Legal Arguments About Evidence Using Bayesian Networks.
Cognitive Science, 2013

Legal idioms: a framework for evidential reasoning.
Argument & Computation, 2013

Fast Approximate Inference in Hybrid Bayesian Networks Using Dynamic Discretisation.
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

Incorporating Expert Judgement into Bayesian Network Machine Learning.
Proceedings of the IJCAI 2013, 2013

Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks Using Binary Factorization.
IEEE Trans. Knowl. Data Eng., 2012

pi-football: A Bayesian network model for forecasting Association Football match outcomes.
Knowl.-Based Syst., 2012

Availability modelling of repairable systems using Bayesian networks.
Eng. Appl. of AI, 2012

Improved reliability modeling using Bayesian networks and dynamic discretization.
Rel. Eng. & Sys. Safety, 2010

Comparing risks of alternative medical diagnosis using Bayesian arguments.
Journal of Biomedical Informatics, 2010

Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model.
IEEE Trans. Software Eng., 2009

Modelling dependable systems using hybrid Bayesian networks.
Rel. Eng. & Sys. Safety, 2008

On the effectiveness of early life cycle defect prediction with Bayesian Nets.
Empirical Software Engineering, 2008

Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks.
IEEE Trans. Knowl. Data Eng., 2007

Inference in hybrid Bayesian networks using dynamic discretization.
Statistics and Computing, 2007

Predicting software defects in varying development lifecycles using Bayesian nets.
Information & Software Technology, 2007

Predicting football results using Bayesian nets and other machine learning techniques.
Knowl.-Based Syst., 2006

Improved Bayesian Networks for Software Project Risk Assessment Using Dynamic Discretisation.
Proceedings of the Software Engineering Techniques: Design for Quality, 2006

Modeling Dependable Systems using Hybrid Bayesian Networks.
Proceedings of the The First International Conference on Availability, 2006

Automated population of causal models for improved software risk assessment.
Proceedings of the 20th IEEE/ACM International Conference on Automated Software Engineering (ASE 2005), 2005

Making Resource Decisions for Software Projects.
Proceedings of the 26th International Conference on Software Engineering (ICSE 2004), 2004

Software Measurement: Uncertainty and Causal Modeling.
IEEE Software, 2002

Probability modelling for software quality control.
Journal of Applied Non-Classical Logics, 2002

Making decisions: using Bayesian nets and MCDA.
Knowl.-Based Syst., 2001

Probabilistic Modelling for Software Quality Control.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

Software metrics: roadmap.
Proceedings of the 22nd International Conference on on Software Engineering, 2000

A Critique of Software Defect Prediction Models.
IEEE Trans. Software Eng., 1999

Software metrics: successes, failures and new directions.
Journal of Systems and Software, 1999

Lessons from Using Z to Specify a Software Tool.
IEEE Trans. Software Eng., 1998

A Strategy for Improving Safety Related Software Engineering Standards.
IEEE Trans. Software Eng., 1998

Assesing dependability of safety critical systems using diverse evidence.
IEE Proceedings - Software, 1998

Are software failures deterministic?
Information & Software Technology, 1997

Metrics and Models in Software Quality Engineering, by Stephen H. Kan, Addison-Wesley, 1995 (Book Review).
Softw. Test., Verif. Reliab., 1995

Data linkage maps.
Journal of Software Maintenance, 1993

Multivariate Assessment of Software Products.
Softw. Test., Verif. Reliab., 1992

Measures for maintenance management: A case study.
Journal of Software Maintenance, 1990