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)

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 (AMIA, 2017)

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)

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)

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)

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)

Enterprise social media: combating turnover in businesses. - Murad A. Moqbel; Valerie L. Bartelt; Kazim Topuz; Kitty L. Gehrt (Internet Res., 2020)

A probabilistic Bayesian inference model to investigate injury severity in automobile crashes. - Kazim Topuz; Dursun Delen (Decis. Support Syst., 2021)

Mdscan: an Explainable Artificial Intelligence Artifact for Mental Health Screening. - Salih Tutun; Anol Bhattacherjee; Kazim Topuz; Ali Tosyali; Gorden Li (ECIS, 2023)

Introduction to the Minitrack on Interpretable Machine Learning. - Ismail Abdulrashid; Kazim Topuz; Akhilesh Bajaj (HICSS, 2023)

Business Inferences and Risk Modeling with Machine Learning; The Case of Aviation Incidents. - Burak Cankaya; Kazim Topuz; Aaron Glassman (HICSS, 2023)

Explainable AI for enhanced decision-making. - Kristof Coussement; Mohammad Zoynul Abedin; Mathias Kraus; Sebastián Maldonado; Kazim Topuz (Decis. Support Syst., 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)

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)

Explainable Artificial Intelligence for Mental Disorder Screening: A Computational Design Science Approach. - Salih Tutun; Kazim Topuz; Ali Tosyali; Anol Bhattacherjee; Gorden Li (J. Manag. Inf. Syst., 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., 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., 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., 2024)

Prediction and decoding of metaverse coin dynamics: a granular quest using MODWT-Facebook's prophet-TBATS and XAI methodology. - Indranil Ghosh; Amith Vikram Megaravalli; Mohammad Zoynul Abedin; Kazim Topuz (Ann. Oper. Res., 2025)

Understanding cultural stress and mental health among Latinos in the us: probabilistic omnidirectional inference model. - Sumeyra Sahbaz; Kazim Topuz; Seth J. Schwartz; Pablo Montero-Zamora (Ann. Oper. Res., 2025)

Interpretable machine learning and explainable artificial intelligence. - Kazim Topuz; Akhilesh Bajaj; Kristof Coussement; Timothy L. Urban (Ann. Oper. Res., 2025)