A new hybrid approach for feature selection and support vector machine model selection based on self-adaptive cohort intelligence. - Mohammed Aladeemy; Salih Tutun; Mohammad T. Khasawneh (Expert Syst. Appl., 2017)

New framework that uses patterns and relations to understand terrorist behaviors. - Salih Tutun; Mohammad T. Khasawneh; Jun Zhuang 001 (Expert Syst. Appl., 2017)

Forecasting of short-term wind speed at different heights using a comparative forecasting approach. - Emrah Korkmaz; Ercan Izgi; Salih Tutun (Turkish J. Electr. Eng. Comput. Sci., 2018)

A Study of Left Before Treatment Complete Emergency Department Patients: An Optimized Explanatory Machine Learning Framework. - Abdulaziz Ahmed; Khalid Y. Aram; Salih Tutun (CoRR, 2022)

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

Digital transformation to mitigate emergency situations: increasing opioid overdose survival rates through explainable artificial intelligence. - Marina Johnson; Abdullah Albizri; Antoine Harfouche; Salih Tutun (Ind. Manag. Data Syst., 2023)

An AI-based Decision Support System for Predicting Mental Health Disorders. - Salih Tutun; Marina E. Johnson; Abdulaziz Ahmed; Abdullah Albizri; Sedat Irgil; Ilker Yesilkaya; Esma Nur Ucar; Tanalp Sengun; Antoine Harfouche (Inf. Syst. Frontiers, 2023)

A Responsible AI Framework for Mitigating the Ramifications of the Organ Donation Crisis. - Salih Tutun; Antoine Harfouche; Abdullah Albizri; Marina E. Johnson; Haiyue He (Inf. Syst. Frontiers, 2023)

Brain Stroke Prediction Using Visual Geometry Group Model. - V. Narayanan; A. Reddy; V. Venkatesh; Salih Tutun; Payam Norouzzadeh; Eli Snir; S. Mahmoud; Bahareh Rahmani (DATA, 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)

Management of resource sharing in emergency response using data-driven analytics. - Jifan Zhang; Salih Tutun; Samira Fazel Anvaryazdi; Mohammadhossein Amini; Durai Sundaramoorthi; Hema Sundaramoorthi (Ann. Oper. Res., 2024)