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Norman Fenton

Showing results (11-20 of 38) with videos related to

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Expert Systems with Applications|July 6, 2016
Integrating Expert Knowledge with Data in Bayesian Networks: <i>Preserving Data-Driven Expectations when the Expert Variables Remain Unobserved</i>Anthony Costa Constantinou, Norman Fenton, Martin Neil
Psychological Science|January 1, 2019
The Zero-Sum Fallacy in Evidence EvaluationToby D Pilditch, Norman Fenton, David Lagnado
BMJ Health & Care Informatics|October 18, 2019
LAGOS: learning health systems and how they can integrate with patient careScott McLachlan, Kudakwashe Dube, Evangelia Kyrimi, et al.
Topics in Cognitive Science|March 13, 2019
Analyzing the Simonshaven Case Using Bayesian NetworksNorman Fenton, Martin Neil, Barbaros Yet, et al.
Frontiers in Psychology|November 23, 2020
Explaining Away, Augmentation, and the Assumption of IndependenceNicole Cruz, Ulrike Hahn, Norman Fenton, et al.
BMJ Open|June 16, 2019
Assessment of the methodological quality of local clinical practice guidelines on the identification and management of gestational diabetesBridget Daley, Graham Hitman, Norman Fenton, et al.
Artificial Intelligence in Medicine|February 3, 2016
From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision supportAnthony Costa Constantinou, Norman Fenton, William Marsh, et al.
Science & Justice : Journal of the Forensic Science Society|July 2, 2019
Resolving the so-called "probabilistic paradoxes in legal reasoning" with Bayesian networksJacob de Zoete, Norman Fenton, Takao Noguchi, et al.
Science & Justice : Journal of the Forensic Science Society|May 3, 2015
Modelling crime linkage with Bayesian networksJacob de Zoete, Marjan Sjerps, David Lagnado, et al.
Artificial Intelligence and Law|April 10, 2020
Modelling competing legal arguments using Bayesian model comparison and averagingMartin Neil, Norman Fenton, David Lagnado, et al.
Pageof 4

Showing results (11-20 of 38) with videos related to

Sort By:
Pageof 4
Expert Systems with Applications|July 6, 2016
Integrating Expert Knowledge with Data in Bayesian Networks: <i>Preserving Data-Driven Expectations when the Expert Variables Remain Unobserved</i>Anthony Costa Constantinou, Norman Fenton, Martin Neil
Psychological Science|January 1, 2019
The Zero-Sum Fallacy in Evidence EvaluationToby D Pilditch, Norman Fenton, David Lagnado
BMJ Health & Care Informatics|October 18, 2019
LAGOS: learning health systems and how they can integrate with patient careScott McLachlan, Kudakwashe Dube, Evangelia Kyrimi, et al.
Topics in Cognitive Science|March 13, 2019
Analyzing the Simonshaven Case Using Bayesian NetworksNorman Fenton, Martin Neil, Barbaros Yet, et al.
Frontiers in Psychology|November 23, 2020
Explaining Away, Augmentation, and the Assumption of IndependenceNicole Cruz, Ulrike Hahn, Norman Fenton, et al.
BMJ Open|June 16, 2019
Assessment of the methodological quality of local clinical practice guidelines on the identification and management of gestational diabetesBridget Daley, Graham Hitman, Norman Fenton, et al.
Artificial Intelligence in Medicine|February 3, 2016
From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision supportAnthony Costa Constantinou, Norman Fenton, William Marsh, et al.
Science & Justice : Journal of the Forensic Science Society|July 2, 2019
Resolving the so-called "probabilistic paradoxes in legal reasoning" with Bayesian networksJacob de Zoete, Norman Fenton, Takao Noguchi, et al.
Science & Justice : Journal of the Forensic Science Society|May 3, 2015
Modelling crime linkage with Bayesian networksJacob de Zoete, Marjan Sjerps, David Lagnado, et al.
Artificial Intelligence and Law|April 10, 2020
Modelling competing legal arguments using Bayesian model comparison and averagingMartin Neil, Norman Fenton, David Lagnado, et al.
Pageof 4