Kazim Topuz

According to our database, Kazim Topuz authored at least 17 papers between 2016 and 2024.

Collaborative distances:

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

2024

Decision support system for appointment scheduling and overbooking under patient no-show behavior.

Kazim Topuz, Timothy L. Urban, Robert A. Russell, Mehmet Bayram Yildirim

Ann. Oper. Res., November, 2024

A Bayesian belief network-based analytics methodology for early-stage risk detection of novel diseases.

Kazim Topuz, Behrooz Davazdahemami, Dursun Delen

Ann. Oper. Res., October, 2024

Disentangling human trafficking types and the identification of pathways to forced labor and sex: an explainable analytics approach.

Enes Eryarsoy, Kazim Topuz, Cenk Demiroglu

Ann. Oper. Res., April, 2024

A Markovian score model for evaluating provider performance for continuity of care - An explainable analytics approach.

Kazim Topuz, Timothy L. Urban, Mehmet Bayram Yildirim

Eur. J. Oper. Res., 2024

What makes accidents severe! explainable analytics framework with parameter optimization.

Abdulaziz Ahmed, Kazim Topuz, Murad A. Moqbel, Ismail Abdulrashid

Eur. J. Oper. Res., 2024

Explainable AI for enhanced decision-making.

Kristof Coussement, Mohammad Zoynul Abedin, Mathias Kraus, Sebastián Maldonado, Kazim Topuz

Decis. Support Syst., 2024

2023

Business Inferences and Risk Modeling with Machine Learning; The Case of Aviation Incidents.

Burak Cankaya, Kazim Topuz, Aaron Glassman

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Introduction to the Minitrack on Interpretable Machine Learning.

Ismail Abdulrashid, Kazim Topuz, Akhilesh Bajaj

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Mdscan: an Explainable Artificial Intelligence Artifact for Mental Health Screening.

Salih Tutun, Anol Bhattacherjee, Kazim Topuz, Ali Tosyali, Gorden Li

Proceedings of the 31st European Conference on Information Systems, 2023

2021

A probabilistic Bayesian inference model to investigate injury severity in automobile crashes.

Kazim Topuz, Dursun Delen

Decis. Support Syst., 2021

2020

Enterprise social media: combating turnover in businesses.

Murad A. Moqbel, Valerie L. Bartelt, Kazim Topuz, Kitty L. Gehrt

Internet Res., 2020

Development of a Bayesian Belief Network-based DSS for predicting and understanding freshmen student attrition.

Dursun Delen, Kazim Topuz, Enes Eryarsoy

Eur. J. Oper. Res., 2020

2019

An AHP-IFT Integrated Model for Performance Evaluation of E-Commerce Web Sites.

Babak Daneshvar Rouyendegh, Kazim Topuz, Ali Dag, Asil Oztekin

Inf. Syst. Frontiers, 2019

2018

Predicting graft survival among kidney transplant recipients: A Bayesian decision support model.

Kazim Topuz, Ferhat D. Zengul, Ali Dag, Ammar Almehmi, Mehmet Bayram Yildirim

Decis. Support Syst., 2018

Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network.

Kazim Topuz, Hasmet Uner, Asil Oztekin, Mehmet Bayram Yildirim

Ann. Oper. Res., 2018

2017

A Probabilistic Scoring Model to Evaluate Providers Regarding Continuity of Care from a Relational Perspective.

Kazim Topuz, Scott Shepherd, William D. Paiva, Dursun Delen, Krista Schumacher, Shrie Raam Sathyanarayanan, Mehmet Bayram Yildirim

Proceedings of the AMIA 2017, 2017

2016

A probabilistic data-driven framework for scoring the preoperative recipient-donor heart transplant survival.

Ali Dag, Kazim Topuz, Asil Oztekin, Serkan Bulur, Fadel M. Megahed

Decis. Support Syst., 2016