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Martin Neil
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2020 – today
- 2024
- [j49]Joshua Hunte, Martin Neil, Norman E. Fenton:
A hybrid Bayesian network for medical device risk assessment and management. Reliab. Eng. Syst. Saf. 241: 109630 (2024) - [c15]Scott McLachlan, Bridget J. Daley, Sam Saidi, Evangelia Kyrimi, Kudakwashe Dube, Crina Grossan, Martin Neil, Louise Rose, Norman E. Fenton:
Approach and Method for Bayesian Network Modelling: The Case for Pregnancy Outcomes in England and Wales. BIOSTEC (2) 2024: 604-612 - [i12]Peng Lin, Martin Neil, Norman E. Fenton:
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models. CoRR abs/2402.15075 (2024) - 2022
- [j48]Peng Lin, Martin Neil, Norman E. Fenton, Eugene Dementiev:
Region-based estimation of the partition functions for hybrid Bayesian network models. Int. J. Intell. Syst. 37(11): 8897-8927 (2022) - [j47]Scott McLachlan, Martin Neil, Kudakwashe Dube, Ronny Bogani, Norman E. Fenton, Burkhard Schafer:
Smart automotive technology adherence to the law: (de)constructing road rules for autonomous system development, verification and safety. Int. J. Law Inf. Technol. 29(4): 255-295 (2022) - [i11]Joshua Hunte, Martin Neil, Norman E. Fenton:
Product safety idioms: a method for building causal Bayesian networks for product safety and risk assessment. CoRR abs/2206.02144 (2022) - [i10]Joshua Hunte, Martin Neil, Norman E. Fenton:
A hybrid Bayesian network for medical device risk assessment and management. CoRR abs/2209.03352 (2022) - 2021
- [j46]Peng Lin, Martin Neil, Norman E. Fenton:
A Study of Using Bethe/Kikuchi Approximation for Learning Directed Graphic Models. IEEE Access 9: 125428-125438 (2021) - [i9]Anthony C. Constantinou, Norman E. Fenton, Martin Neil:
How do some Bayesian Network machine learned graphs compare to causal knowledge? CoRR abs/2101.10461 (2021) - [i8]Jiali Wang, Martin Neil:
A Bayesian-network-based cybersecurity adversarial risk analysis framework with numerical examples. CoRR abs/2106.00471 (2021) - [i7]Scott McLachlan, Martin Neil, Kudakwashe Dube, Ronny Bogani, Norman E. Fenton, Burkhard Schafer:
Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety. CoRR abs/2109.02956 (2021) - 2020
- [j45]Norman E. Fenton, Martin Neil, Anthony C. Constantinou:
The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie. Basic Books (2018). Artif. Intell. 284: 103286 (2020) - [j44]Jiali Wang, Martin Neil, Norman E. Fenton:
A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR model. Comput. Secur. 89 (2020) - [j43]Peng Lin, Martin Neil, Norman E. Fenton:
Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction. J. Artif. Intell. Res. 69: 231-295 (2020) - [j42]Evangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan, Martin Neil, William Marsh, Norman E. Fenton:
Medical idioms for clinical Bayesian network development. J. Biomed. Informatics 108: 103495 (2020) - [j41]Norman E. Fenton, Martin Neil, Barbaros Yet, David A. Lagnado:
Analyzing the Simonshaven Case Using Bayesian Networks. Top. Cogn. Sci. 12(4): 1092-1114 (2020) - [c14]Scott McLachlan, Haydn Paterson, Kudakwashe Dube, Evangelia Kyrimi, Eugene Dementiev, Martin Neil, Bridget J. Daley, Graham A. Hitman, Norman E. Fenton:
Real-time Online Probabilistic Medical Computation using Bayesian Networks. ICHI 2020: 1-8 - [i6]Scott McLachlan, Peter Lucas, Kudakwashe Dube, Graham A. Hitman, Magda Osman, Evangelia Kyrimi, Martin Neil, Norman E. Fenton:
Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing? CoRR abs/2005.06621 (2020) - [i5]Evangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan, Martin Neil, William Marsh, Norman E. Fenton:
Medical idioms for clinical Bayesian network development. CoRR abs/2007.00364 (2020) - [i4]Norman E. Fenton, Martin Neil, Steven Frazier:
The role of collider bias in understanding statistics on racially biased policing. CoRR abs/2007.08406 (2020) - [i3]Joshua Hunte, Martin Neil, Norman E. Fenton:
Product risk assessment: a Bayesian network approach. CoRR abs/2010.06698 (2020)
2010 – 2019
- 2019
- [j40]Martin Neil, Norman E. Fenton, David A. Lagnado, Richard David Gill:
Modelling competing legal arguments using Bayesian model comparison and averaging. Artif. Intell. Law 27(4): 403-430 (2019) - [j39]Takao Noguchi, Norman E. Fenton, Martin Neil:
Addressing the Practical Limitations of Noisy-OR Using Conditional Inter-Causal Anti-Correlation with Ranked Nodes. IEEE Trans. Knowl. Data Eng. 31(4): 813-817 (2019) - [j38]Norman E. Fenton, Takao Noguchi, Martin Neil:
An Extension to the Noisy-OR Function to Resolve the 'Explaining Away' Deficiency for Practical Bayesian Network Problems. IEEE Trans. Knowl. Data Eng. 31(12): 2441-2445 (2019) - [i2]Norman E. Fenton, Martin Neil, Anthony C. Constantinou:
Simpson's Paradox and the implications for medical trials. CoRR abs/1912.01422 (2019) - 2018
- [j37]Barbaros Yet, Anthony C. Constantinou, Norman E. Fenton, Martin Neil:
Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization. IEEE Access 6: 7802-7817 (2018) - [j36]Barbaros Yet, Martin Neil, Norman E. Fenton, Anthony C. Constantinou, Eugene Dementiev:
An improved method for solving Hybrid Influence Diagrams. Int. J. Approx. Reason. 95: 93-112 (2018) - 2017
- [c13]Norman E. Fenton, David A. Lagnado, Christian Dahlman, Martin Neil:
The opportunity prior: a simple and practical solution to the prior probability problem for legal cases. ICAIL 2017: 69-76 - 2016
- [j35]Anthony Costa Constantinou, Barbaros Yet, Norman E. Fenton, Martin Neil, William Marsh:
Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences. Artif. Intell. Medicine 66: 41-52 (2016) - [j34]Anthony Costa Constantinou, Norman E. Fenton, Martin Neil:
Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved. Expert Syst. Appl. 56: 197-208 (2016) - [j33]Barbaros Yet, Anthony C. Constantinou, Norman E. Fenton, Martin Neil, Eike Luedeling, Keith D. Shepherd:
A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study. Expert Syst. Appl. 60: 141-155 (2016) - [j32]Norman E. Fenton, Martin Neil, David A. Lagnado, William Marsh, Barbaros Yet, Anthony C. Constantinou:
How to model mutually exclusive events based on independent causal pathways in Bayesian network models. Knowl. Based Syst. 113: 39-50 (2016) - [i1]Peng Lin, Martin Neil, Norman E. Fenton:
Region Based Approximation for High Dimensional Bayesian Network Models. CoRR abs/1602.02086 (2016) - 2015
- [c12]Yun Zhou, Norman E. Fenton, Timothy M. Hospedales, Martin Neil:
Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints. UAI 2015: 972-981 - 2014
- [j31]Norman E. Fenton, Martin Neil, Anne Hsu:
Calculating and understanding the value of any type of match evidence when there are potential testing errors. Artif. Intell. Law 22(1): 1-28 (2014) - [j30]Yun Zhou, Norman E. Fenton, Martin Neil:
Bayesian network approach to multinomial parameter learning using data and expert judgments. Int. J. Approx. Reason. 55(5): 1252-1268 (2014) - [j29]Norman E. Fenton, Martin Neil:
Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks. IEEE Softw. 31(2): 21-26 (2014) - [c11]Yun Zhou, Norman E. Fenton, Martin Neil:
An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints. Probabilistic Graphical Models 2014: 581-596 - 2013
- [j28]David A. Lagnado, Norman E. Fenton, Martin Neil:
Legal idioms: a framework for evidential reasoning. Argument Comput. 4(1): 46-63 (2013) - [j27]Norman E. Fenton, Martin Neil, David A. Lagnado:
A General Structure for Legal Arguments About Evidence Using Bayesian Networks. Cogn. Sci. 37(1): 61-102 (2013) - [j26]Anthony C. Constantinou, Norman E. Fenton, Martin Neil:
Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks. Knowl. Based Syst. 50: 60-86 (2013) - [c10]Yun Zhou, Norman E. Fenton, Martin Neil, Cheng Zhu:
Incorporating Expert Judgement into Bayesian Network Machine Learning. IJCAI 2013: 3249-3250 - [c9]Helge Langseth, David Marquez, Martin Neil:
Fast Approximate Inference in Hybrid Bayesian Networks Using Dynamic Discretisation. IWINAC (1) 2013: 225-234 - 2012
- [j25]Martin Neil, David Marquez:
Availability modelling of repairable systems using Bayesian networks. Eng. Appl. Artif. Intell. 25(4): 698-704 (2012) - [j24]Anthony C. Constantinou, Norman E. Fenton, Martin Neil:
pi-football: A Bayesian network model for forecasting Association Football match outcomes. Knowl. Based Syst. 36: 322-339 (2012) - [j23]Martin Neil, Xiaoli Chen, Norman E. Fenton:
Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks Using Binary Factorization. IEEE Trans. Knowl. Data Eng. 24(7): 1306-1312 (2012) - 2010
- [j22]Norman E. Fenton, Martin Neil:
Comparing risks of alternative medical diagnosis using Bayesian arguments. J. Biomed. Informatics 43(4): 485-495 (2010) - [j21]David Marquez, Martin Neil, Norman E. Fenton:
Improved reliability modeling using Bayesian networks and dynamic discretization. Reliab. Eng. Syst. Saf. 95(4): 412-425 (2010)
2000 – 2009
- 2009
- [j20]Peter Stewart Hearty, Norman E. Fenton, David Marquez, Martin Neil:
Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model. IEEE Trans. Software Eng. 35(1): 124-137 (2009) - 2008
- [j19]Norman E. Fenton, Martin Neil, William Marsh, Peter Stewart Hearty, Lukasz Radlinski, Paul Krause:
On the effectiveness of early life cycle defect prediction with Bayesian Nets. Empir. Softw. Eng. 13(5): 499-537 (2008) - [j18]Martin Neil, Manesh Tailor, David Marquez, Norman E. Fenton, Peter Stewart Hearty:
Modelling dependable systems using hybrid Bayesian networks. Reliab. Eng. Syst. Saf. 93(7): 933-939 (2008) - 2007
- [j17]Norman E. Fenton, Martin Neil, William Marsh, Peter Stewart Hearty, David Marquez, Paul Krause, Rajat Mishra:
Predicting software defects in varying development lifecycles using Bayesian nets. Inf. Softw. Technol. 49(1): 32-43 (2007) - [j16]Martin Neil, Manesh Tailor, David Marquez:
Inference in hybrid Bayesian networks using dynamic discretization. Stat. Comput. 17(3): 219-233 (2007) - [j15]Norman E. Fenton, Martin Neil, Jose Galan Caballero:
Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks. IEEE Trans. Knowl. Data Eng. 19(10): 1420-1432 (2007) - [c8]Norman E. Fenton, Martin Neil, William Marsh, Peter Stewart Hearty, Lukasz Radlinski, Paul Krause:
Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction. PROMISE@ICSE 2007: 2 - 2006
- [j14]Anito Joseph, Norman E. Fenton, Martin Neil:
Predicting football results using Bayesian nets and other machine learning techniques. Knowl. Based Syst. 19(7): 544-553 (2006) - [c7]Martin Neil, Manesh Tailor, Norman E. Fenton, David Marquez, Peter Stewart Hearty:
Modeling Dependable Systems using Hybrid Bayesian Networks. ARES 2006: 817-823 - [c6]Norman E. Fenton, Lukasz Radlinski, Martin Neil:
Improved Bayesian Networks for Software Project Risk Assessment Using Dynamic Discretisation. SET 2006: 139-148 - 2005
- [c5]Peter Stewart Hearty, Norman E. Fenton, Martin Neil, Patrick Cates:
Automated population of causal models for improved software risk assessment. ASE 2005: 433-434 - 2004
- [c4]Norman E. Fenton, William Marsh, Martin Neil, Patrick Cates, Simon Forey, Manesh Tailor:
Making Resource Decisions for Software Projects. ICSE 2004: 397-406 - 2002
- [j13]Norman E. Fenton, Paul Krause, Martin Neil:
Probability modelling for software quality control. J. Appl. Non Class. Logics 12(2): 173-188 (2002) - [j12]Norman E. Fenton, Paul Krause, Martin Neil:
Software Measurement: Uncertainty and Causal Modeling. IEEE Softw. 19(4): 116-122 (2002) - 2001
- [j11]Norman E. Fenton, Martin Neil:
Making decisions: using Bayesian nets and MCDA. Knowl. Based Syst. 14(7): 307-325 (2001) - [c3]Norman E. Fenton, Paul Krause, Martin Neil:
Probabilistic Modelling for Software Quality Control. ECSQARU 2001: 444-453 - 2000
- [c2]Norman E. Fenton, Martin Neil:
Software metrics: roadmap. ICSE - Future of SE Track 2000: 357-370
1990 – 1999
- 1999
- [j10]Norman E. Fenton, Martin Neil:
Software metrics: successes, failures and new directions. J. Syst. Softw. 47(2-3): 149-157 (1999) - [j9]Norman E. Fenton, Martin Neil:
A Critique of Software Defect Prediction Models. IEEE Trans. Software Eng. 25(5): 675-689 (1999) - 1998
- [j8]Norman E. Fenton, Bev Littlewood, Martin Neil, Lorenzo Strigini, Alistair G. Sutcliffe, David Wright:
Assesing dependability of safety critical systems using diverse evidence. IEE Proc. Softw. 145(1): 35-39 (1998) - [j7]Martin Neil, Gary Ostrolenk, Mary Tobin, Mark Southworth:
Lessons from Using Z to Specify a Software Tool. IEEE Trans. Software Eng. 24(1): 15-23 (1998) - [j6]Norman E. Fenton, Martin Neil:
A Strategy for Improving Safety Related Software Engineering Standards. IEEE Trans. Software Eng. 24(11): 1002-1013 (1998) - 1997
- [j5]Martin Neil:
Are software failures deterministic? Inf. Softw. Technol. 39(3): 217-219 (1997) - 1996
- [c1]Martin Neil, Bev Littlewood, Norman E. Fenton:
Applying Bayesian Belief Networks to System Dependability Assessment. SSS 1996: 71-94 - 1995
- [j4]Martin Neil:
Metrics and Models in Software Quality Engineering, by Stephen H. Kan, Addison-Wesley, 1995 (Book Review). Softw. Test. Verification Reliab. 5(4): 273-275 (1995) - 1993
- [j3]Martin Neil, Richard Bache:
Data linkage maps. J. Softw. Maintenance Res. Pract. 5(3): 155-164 (1993) - 1992
- [j2]Martin Neil:
Multivariate Assessment of Software Products. Softw. Test. Verification Reliab. 1(4): 17-37 (1992) - 1990
- [j1]Martin Neil, Robert J. Cole, David Slater:
Measures for maintenance management: A case study. J. Softw. Maintenance Res. Pract. 2(4): 223-240 (1990)
Coauthor Index
aka: Anthony Costa Constantinou
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