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ORCIDKazim Topuz
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2020 – today
- 2024
[j12]Enes Eryarsoy
, Kazim Topuz, Cenk Demiroglu:
Disentangling human trafficking types and the identification of pathways to forced labor and sex: an explainable analytics approach. Ann. Oper. Res. 335(2): 761-795 (2024)- [j11]Kazim Topuz, Behrooz Davazdahemami, Dursun Delen:
A Bayesian belief network-based analytics methodology for early-stage risk detection of novel diseases. Ann. Oper. Res. 341(1): 673-697 (2024) - [j10]Kristof Coussement, Mohammad Zoynul Abedin, Mathias Kraus, Sebastián Maldonado, Kazim Topuz:
Explainable AI for enhanced decision-making. Decis. Support Syst. 184: 114276 (2024) - [j9]Kazim Topuz, Timothy L. Urban, Mehmet B. Yildirim:
A Markovian score model for evaluating provider performance for continuity of care - An explainable analytics approach. Eur. J. Oper. Res. 317(2): 341-351 (2024) - [j8]Abdulaziz Ahmed, Kazim Topuz, Murad A. Moqbel, Ismail Abdulrashid:
What makes accidents severe! explainable analytics framework with parameter optimization. Eur. J. Oper. Res. 317(2): 425-436 (2024) - 2023
- [c4]Salih Tutun, Anol Bhattacherjee, Kazim Topuz, Ali Tosyali, Gorden Li:
Mdscan: an Explainable Artificial Intelligence Artifact for Mental Health Screening. ECIS 2023 - [c3]Ismail Abdulrashid, Kazim Topuz, Akhilesh Bajaj:
Introduction to the Minitrack on Interpretable Machine Learning. HICSS 2023: 1236-1237 - [c2]Burak Cankaya, Kazim Topuz, Aaron Glassman:
Business Inferences and Risk Modeling with Machine Learning; The Case of Aviation Incidents. HICSS 2023: 1238-1248 - 2021
- [j7]Kazim Topuz, Dursun Delen:
A probabilistic Bayesian inference model to investigate injury severity in automobile crashes. Decis. Support Syst. 150: 113557 (2021) - 2020
- [j6]Dursun Delen, Kazim Topuz, Enes Eryarsoy:
Development of a Bayesian Belief Network-based DSS for predicting and understanding freshmen student attrition. Eur. J. Oper. Res. 281(3): 575-587 (2020) - [j5]Murad A. Moqbel, Valerie L. Bartelt, Kazim Topuz, Kitty L. Gehrt:
Enterprise social media: combating turnover in businesses. Internet Res. 30(2): 591-610 (2020)
2010 – 2019
- 2019
- [j4]Babak Daneshvar Rouyendegh, Kazim Topuz, Ali Dag, Asil Oztekin:
An AHP-IFT Integrated Model for Performance Evaluation of E-Commerce Web Sites. Inf. Syst. Frontiers 21(6): 1345-1355 (2019) - 2018
- [j3]Kazim Topuz, Hasmet Uner, Asil Oztekin, Mehmet Bayram Yildirim:
Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network. Ann. Oper. Res. 263(1-2): 479-499 (2018) - [j2]Kazim Topuz, Ferhat D. Zengul, Ali Dag, Ammar Almehmi, Mehmet Bayram Yildirim:
Predicting graft survival among kidney transplant recipients: A Bayesian decision support model. Decis. Support Syst. 106: 97-109 (2018) - 2017
- [c1]Kazim Topuz, Scott Shepherd, William D. Paiva, Dursun Delen, Krista Schumacher, Shrie Raam Sathyanarayanan, Mehmet Bayram Yildirim:
A Probabilistic Scoring Model to Evaluate Providers Regarding Continuity of Care from a Relational Perspective. AMIA 2017 - 2016
- [j1]Ali Dag, Kazim Topuz, Asil Oztekin, Serkan Bulur, Fadel M. Megahed:
A probabilistic data-driven framework for scoring the preoperative recipient-donor heart transplant survival. Decis. Support Syst. 86: 1-12 (2016)
Coauthor Index
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last updated on 2024-10-16 21:24 CEST by the dblp team
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