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2020 – today
- 2024
[j18]Barbaros Yet
, Elif Öykü Baserdem, Todd Rosenstock:
Secondary data analysis using Evidence-Based Bayesian Networks with an application to investigate the determinants of childhood stunting. Expert Syst. Appl. 256: 124940 (2024)- 2023
- [j17]Faruk Umut Küçüker, Barbaros Yet:
Reliability prediction for aircraft fleet operators: A Bayesian network model that combines supplier estimates, maintenance data and expert judgement. J. Oper. Res. Soc. 74(10): 2187-2198 (2023) - [j16]Gürkan Güven Güner, Ceren Tuncer Sakar, Barbaros Yet:
A Multicriteria Method to Form Optional Preventive Maintenance Plans: A Case Study of a Large Fleet of Vehicles. IEEE Trans. Engineering Management 70(6): 2153-2164 (2023) - 2022
- [j15]Hakan Yücetürk, Halime Gülle, Ceren Tuncer Sakar, Christopher Joyner, William Marsh, Edibe Ünal, Dylan Morrissey, Barbaros Yet:
Reducing the question burden of patient reported outcome measures using Bayesian networks. J. Biomed. Informatics 135: 104230 (2022) - [c5]Semih Can Aktepe, Barbaros Yet:
Learning Unnatural Language Quantifiers. CogSci 2022 - 2020
- [j14]Barbaros Yet, Ceren Tuncer Sakar:
Estimating criteria weight distributions in multiple criteria decision making: a Bayesian approach. Ann. Oper. Res. 293(2): 495-519 (2020) - [j13]Erhan Pisirir, Yasemin Sü, Barbaros Yet:
Integrating Risk into Project Control Using Bayesian Networks. Int. J. Inf. Technol. Decis. Mak. 19(5): 1327-1352 (2020) - [j12]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)
2010 – 2019
- 2019
- [j11]Rukiye Kaya, Barbaros Yet:
Building Bayesian networks based on DEMATEL for multiple criteria decision problems: A supplier selection case study. Expert Syst. Appl. 134: 234-248 (2019) - [c4]Rabia Burcu Karaömer, Barbaros Yet, Oumout Chouseinoglou:
Improved Software Reliability Prediction by Using Model Stacking and Averaging. SEAA 2019: 186-192 - 2018
- [j10]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) - [j9]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) - [c3]Barbaros Yet, William Marsh, Dylan Morrissey:
Towards an Evidence-Based Decision Support Tool for Management of Musculoskeletal Conditions. EFMI-STC 2018: 175-179 - 2017
- [j8]Barbaros Yet, Zane B. Perkins, Nigel R. M. Tai, D. William R. Marsh:
Clinical evidence framework for Bayesian networks. Knowl. Inf. Syst. 50(1): 117-143 (2017) - 2016
- [j7]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) - [j6]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) - [j5]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) - 2014
- [j4]Barbaros Yet, Zane Perkins, Norman E. Fenton, Nigel Tai, William Marsh:
Not just data: A method for improving prediction with knowledge. J. Biomed. Informatics 48: 28-37 (2014) - [j3]Barbaros Yet, Zane B. Perkins, Todd E. Rasmussen, Nigel R. M. Tai, D. William R. Marsh:
Combining data and meta-analysis to build Bayesian networks for clinical decision support. J. Biomed. Informatics 52: 373-385 (2014) - [j2]Barbaros Yet, D. William R. Marsh:
Compatible and incompatible abstractions in Bayesian networks. Knowl. Based Syst. 62: 84-97 (2014) - [c2]Barbaros Yet, Zane Perkins, Nigel Tai, William Marsh:
Explicit Evidence for Prognostic Bayesian Network Models. MIE 2014: 53-57 - 2013
- [b1]Barbaros Yet:
Bayesian networks for evidence based clinical decision support. Queen Mary University of London, UK, 2013 - [j1]Barbaros Yet, Kaveh Bastani, Hendry Raharjo, Svante Lifvergren, William Marsh, Bo Bergman:
Decision support system for Warfarin therapy management using Bayesian networks. Decis. Support Syst. 55(2): 488-498 (2013) - [c1]Barbaros Yet, William Marsh, Zane Perkins, Nigel Tai, Norman E. Fenton:
Predicting Latent Variables with Knowledge and Data: A Case Study in Trauma Care. UAI Application Workshops 2013: 49
Coauthor Index
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