Kazim Topuz
Cited by
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Predicting graft survival among kidney transplant recipients: A Bayesian decision support model
K Topuz, FD Zengul, A Dag, A Almehmi, MB Yildirim
Decision Support Systems 106, 97-109, 2018
Investigating injury severity risk factors in automobile crashes with predictive analytics and sensitivity analysis methods
D Delen, L Tomak, K Topuz, E Eryarsoy
Journal of Transport & Health 4, 118-131, 2017
A probabilistic data-driven framework for scoring the preoperative recipient-donor heart transplant survival
A Dag, K Topuz, A Oztekin, S Bulur, FM Megahed
Decision Support Systems 86, 1-12, 2016
Development of a Bayesian Belief Network-based DSS for predicting and understanding freshmen student attrition
D Delen, K Topuz, E Eryarsoy
European journal of operational research 281 (3), 575-587, 2020
Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network
K Topuz, H Uner, A Oztekin, MB Yildirim
Annals of Operations Research 263, 479-499, 2018
An AHP-IFT integrated model for performance evaluation of E-commerce web sites
BD Rouyendegh, K Topuz, A Dag, A Oztekin
Information Systems Frontiers 21, 1345-1355, 2019
Enterprise social media: combating turnover in businesses
M Moqbel, VL Bartelt, K Topuz, KL Gehrt
Internet Research 30 (2), 591-610, 2020
A probabilistic Bayesian inference model to investigate injury severity in automobile crashes
K Topuz, D Delen
Decision Support Systems 150, 113557, 2021
A novel diffusion-based model for estimating cases, and fatalities in epidemics: The case of COVID-19
E Eryarsoy, D Delen, B Davazdahemami, K Topuz
Journal of Business Research 124, 163-178, 2021
Research themes and trends in ten top-ranked nephrology journals: A text mining analysis
FD Zengul, T Lee, D Delen, A Almehmi, NV Ivankova, T Mehta, K Topuz
American Journal of Nephrology 51 (2), 147-159, 2020
Evidence-based managerial decision-making with machine learning: The case of Bayesian inference in aviation incidents
B Cankaya, K Topuz, D Delen, A Glassman
Omega 120, 102906, 2023
Methodology to combine theoretical knowledge with a data-driven probabilistic graphical model
K Topuz, BD Jones, S Sahbaz, M Moqbel
Journal of Business Analytics 4 (2), 125-139, 2021
What makes accidents severe! explainable analytics framework with parameter optimization
A Ahmed, K Topuz, M Moqbel, I Abdulrashid
European Journal of Operational Research, 2023
An analytical approach to evaluate the impact of age demographics in a pandemic
I Abdulrashid, H Friji, K Topuz, H Ghazzai, D Delen, Y Massoud
Stochastic Environmental Research and Risk Assessment 37 (10), 3691-3705, 2023
Business Inferences and Risk Modeling with Machine Learning; The case of Aviation Incidents
K Topuz, B Cankaya, A Glassman
Proceedings of the 56th Hawaii International Conference on System Sciences, 1238, 2023
Disentangling human trafficking types and the identification of pathways to forced labor and sex: an explainable analytics approach
E Eryarsoy, K Topuz, C Demiroglu
Annals of Operations Research 335 (2), 761-795, 2024
A Markovian score model for evaluating provider performance for continuity of care—An explainable analytics approach
K Topuz, TL Urban, MB Yildirim
European Journal of Operational Research, 2023
Sensitivity Analyses of Risk Factors and Mitigation Effects on a Wake Vortex Encounter Flight Scenario
JT Luxhoj, K Topuz
Industrial and Systems Engineering Research Conference, 2012
A Bayesian belief network-based analytics methodology for early-stage risk detection of novel diseases
K Topuz, B Davazdahemami, D Delen
Annals of Operations Research, 1-25, 2023
Introduction to the Minitrack on Interpretable Machine Learning
K Topuz, A Bajaj, I Abdulrashid
Proceedings of the 56th Hawaii International Conference on System Sciences, 1236, 2023
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Articles 1–20