Stratifying no-show patients into multiple risk groups via a holistic data analytics-based framework. - Serhat Simsek; Thomas Tiahrt; Ali Dag (Decis. Support Syst., 2020)

A hybrid data mining approach for identifying the temporal effects of variables associated with breast cancer survival. - Serhat Simsek; Ugur Kursuncu; Eyyüb Y. Kibis; Musheera AnisAbdellatif; Ali Dag (Expert Syst. Appl., 2020)

Developing a decision support system to detect material weaknesses in internal control. - Murtaza Nasir; Serhat Simsek; Erin Cornelsen; Srinivasan Ragothaman; Ali Dag (Decis. Support Syst., 2021)

Predictive data analytics for contract renewals: a decision support tool for managerial decision-making. - Serhat Simsek; Abdullah Albizri; Marina Johnson; Tyler Custis; Stephan Weikert (J. Enterp. Inf. Manag., 2021)

Artificial intelligence in healthcare operations to enhance treatment outcomes: a framework to predict lung cancer prognosis. - Marina Johnson; Abdullah Albizri; Serhat Simsek (Ann. Oper. Res., 2022)

An interpretable decision-support systems for daily cryptocurrency trading. - Hamidreza Ahady Dolatsara; Eyyüb Y. Kibis; Musa Çaglar; Serhat Simsek; Ali Dag; Gelareh Ahadi Dolatsara; Dursun Delen (Expert Syst. Appl., 2022)

Improving Imbalanced Machine Learning with Neighborhood-Informed Synthetic Sample Placement. - Murtaza Nasir; Ali Dag; Serhat Simsek; Anton Ivanov; Asil Oztekin (J. Manag. Inf. Syst., 2022)

A probabilistic data analytics methodology based on Bayesian Belief network for predicting and understanding breast cancer survival. - Asli Z. Dag; Zumrut Akcam; Eyyüb Y. Kibis; Serhat Simsek; Dursun Delen (Knowl. Based Syst., 2022)

An interpretable machine learning methodology to generate interaction effect hypotheses from complex datasets. - Murtaza Nasir; Nichalin S. Summerfield; Serhat Simsek; Asil Oztekin (Decis. Sci., 2024)

A decision support framework for misstatement identification in financial reporting: A hybrid tree-augmented Bayesian belief approach. - Serhat Simsek; Ali Dag; Kristof Coussement; Eyyüb Y. Kibis; Abdullah Asilkalkan; Srinivasan Ragothaman (Decis. Support Syst., 2025)

Streamlining patients' opioid prescription dosage: an explanatory bayesian model. - Abdullah Asilkalkan; Asli Z. Dag; Serhat Simsek; Osman T. Aydas; Eyyüb Y. Kibis; Dursun Delen (Ann. Oper. Res., 2025)

A Parsimonious Tree Augmented Naive Bayes Model for Exploring Colorectal Cancer Survival Factors and Their Conditional Interrelations. - Ali Dag; Abdullah Asilkalkan; Osman T. Aydas; Musa Çaglar; Serhat Simsek; Dursun Delen (Inf. Syst. Frontiers, 2025)