Barbaros Yet

According to our database, Barbaros Yet authored at least 23 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Reliability prediction for aircraft fleet operators: A Bayesian network model that combines supplier estimates, maintenance data and expert judgement.

Faruk Umut Küçüker, Barbaros Yet

J. Oper. Res. Soc., October, 2023

A Multicriteria Method to Form Optional Preventive Maintenance Plans: A Case Study of a Large Fleet of Vehicles.

Gürkan Güven Güner, Ceren Tuncer Sakar, Barbaros Yet

IEEE Trans. Engineering Management, June, 2023

2022

Reducing the question burden of patient reported outcome measures using Bayesian networks.

Hakan Yücetürk, Halime Gülle, Ceren Tuncer Sakar, Christopher Joyner, William Marsh, Edibe Ünal, Dylan Morrissey, Barbaros Yet

J. Biomed. Informatics, 2022

Learning Unnatural Language Quantifiers.

Semih Can Aktepe, Barbaros Yet

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2020

Analyzing the Simonshaven Case Using Bayesian Networks.

Norman E. Fenton, Martin Neil, Barbaros Yet, David A. Lagnado

Top. Cogn. Sci., 2020

Integrating Risk into Project Control Using Bayesian Networks.

Erhan Pisirir, Yasemin Sü, Barbaros Yet

Int. J. Inf. Technol. Decis. Mak., 2020

Estimating criteria weight distributions in multiple criteria decision making: a Bayesian approach.

Barbaros Yet, Ceren Tuncer Sakar

Ann. Oper. Res., 2020

2019

Building Bayesian networks based on DEMATEL for multiple criteria decision problems: A supplier selection case study.

Rukiye Kaya, Barbaros Yet

Expert Syst. Appl., 2019

Improved Software Reliability Prediction by Using Model Stacking and Averaging.

Rabia Burcu Karaömer, Barbaros Yet, Oumout Chouseinoglou

Proceedings of the 45th Euromicro Conference on Software Engineering and Advanced Applications, 2019

2018

An improved method for solving Hybrid Influence Diagrams.

Barbaros Yet, Martin Neil, Norman E. Fenton, Anthony C. Constantinou, Eugene Dementiev

Int. J. Approx. Reason., 2018

Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization.

Barbaros Yet, Anthony C. Constantinou, Norman E. Fenton, Martin Neil

IEEE Access, 2018

Towards an Evidence-Based Decision Support Tool for Management of Musculoskeletal Conditions.

Barbaros Yet, William Marsh, Dylan Morrissey

Proceedings of the Decision Support Systems and Education, 2018

2017

Clinical evidence framework for Bayesian networks.

Barbaros Yet, Zane B. Perkins, Nigel R. M. Tai, D. William R. Marsh

Knowl. Inf. Syst., 2017

2016

How to model mutually exclusive events based on independent causal pathways in Bayesian network models.

Norman E. Fenton, Martin Neil, David A. Lagnado, William Marsh, Barbaros Yet, Anthony C. Constantinou

Knowl. Based Syst., 2016

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

Barbaros Yet, Anthony C. Constantinou, Norman E. Fenton, Martin Neil, Eike Luedeling, Keith D. Shepherd

Expert Syst. Appl., 2016

Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences.

Anthony Costa Constantinou, Barbaros Yet, Norman E. Fenton, Martin Neil, William Marsh

Artif. Intell. Medicine, 2016

2014

Compatible and incompatible abstractions in Bayesian networks.

Barbaros Yet, D. William R. Marsh

Knowl. Based Syst., 2014

Combining data and meta-analysis to build Bayesian networks for clinical decision support.

Barbaros Yet, Zane B. Perkins, Todd E. Rasmussen, Nigel R. M. Tai, D. William R. Marsh

J. Biomed. Informatics, 2014

Not just data: A method for improving prediction with knowledge.

Barbaros Yet, Zane Perkins, Norman E. Fenton, Nigel Tai, William Marsh

J. Biomed. Informatics, 2014

Explicit Evidence for Prognostic Bayesian Network Models.

Barbaros Yet, Zane Perkins, Nigel Tai, William Marsh

Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

2013

Bayesian networks for evidence based clinical decision support.

Barbaros Yet

PhD thesis, 2013

Decision support system for Warfarin therapy management using Bayesian networks.

Barbaros Yet, Kaveh Bastani, Hendry Raharjo, Svante Lifvergren, William Marsh, Bo Bergman

Decis. Support Syst., 2013

Predicting Latent Variables with Knowledge and Data: A Case Study in Trauma Care.

Barbaros Yet, William Marsh, Zane Perkins, Nigel Tai, Norman E. Fenton

Proceedings of the 2013 UAI Application Workshops: Big Data meet Complex Models and Models for Spatial, 2013