Norman Fenton - researchr alias

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Viewing Publication 1 - 14 from 14

2018

An improved method for solving Hybrid Influence DiagramsBarbaros Yet, Martin Neil, Norman Fenton, Anthony C. Constantinou, Eugene Dementiev. ijar, 95:93-112, 2018. [doi]

Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic DiscretizationBarbaros Yet, Anthony C. Constantinou, Norman Fenton, Martin Neil. access, 6:7802-7817, 2018. [doi]

2017

Towards smart-data: Improving predictive accuracy in long-term football team performanceAnthony C. Constantinou, Norman Fenton. kbs, 124:93-104, 2017. [doi]

The opportunity prior: a simple and practical solution to the prior probability problem for legal casesNorman Fenton, David A. Lagnado, Christian Dahlman, Martin Neil. icail 2017: 69-76 [doi]

2016

Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciencesAnthony Costa Constantinou, Barbaros Yet, Norman Fenton, Martin Neil, William Marsh. artmed, 66:41-52, 2016. [doi]

Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobservedAnthony Costa Constantinou, Norman Fenton, Martin Neil. eswa, 56:197-208, 2016. [doi]

Bayesian Torrent Classification by File Name and Size OnlyEugene Dementiev, Norman Fenton. pgm 2016: 136-146 [doi]

How to model mutually exclusive events based on independent causal pathways in Bayesian network modelsNorman Fenton, Martin Neil, David A. Lagnado, William Marsh, Barbaros Yet, Anthony C. Constantinou. kbs, 113:39-50, 2016. [doi]

A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case studyBarbaros Yet, Anthony C. Constantinou, Norman Fenton, Martin Neil, Eike Luedeling, Keith Shepherd. eswa, 60:141-155, 2016. [doi]

An empirical study of Bayesian network parameter learning with monotonic influence constraintsYun Zhou, Norman Fenton, Cheng Zhu. dss, 87:69-79, 2016. [doi]

When and where to transfer for Bayesian network parameter learningYun Zhou, Timothy M. Hospedales, Norman Fenton. eswa, 55:361-373, 2016. [doi]

2015

Probabilistic Graphical Models Parameter Learning with Transferred Prior and ConstraintsYun Zhou, Norman Fenton, Timothy M. Hospedales, Martin Neil. uai 2015: 972-981

2006

Risk and confidence analysis for fuzzy multicriteria decision makingNorman Fenton, Wei Wang. kbs, 19(6):430-437, 2006. [doi]

1992

When a software measure is not a measureNorman Fenton. iee, 7(5):357-362, 1992. [doi]

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