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2020 – today
- 2025
[c4]Nolan M. Talaei, Asil Oztekin, Hongwei Zhu, Luvai F. Motiwalla, Anol Bhattacherjee, Salih Tutun:
Curvature-Informed Local Explanations (CILE): Improving Stability and Trustworthiness in Explainable AI. AMCIS 2025- 2024
- [j8]Jifan Zhang, Salih Tutun
, Samira Fazel Anvaryazdi, Mohammadhossein Amini, Durai Sundaramoorthi, Hema Sundaramoorthi:
Management of resource sharing in emergency response using data-driven analytics. Ann. Oper. Res. 339(1-2): 663-692 (2024) - [j7]Salih Tutun, Kazim Topuz, Ali Tosyali, Anol Bhattacherjee, Gorden Li:
Explainable Artificial Intelligence for Mental Disorder Screening: A Computational Design Science Approach. J. Manag. Inf. Syst. 41(4): 958-981 (2024) - [c3]V. Narayanan, A. Reddy, V. Venkatesh, Salih Tutun, Payam Norouzzadeh, Eli Snir, S. Mahmoud, Bahareh Rahmani:
Brain Stroke Prediction Using Visual Geometry Group Model. DATA 2024: 205-210 - 2023
- [j6]Marina Johnson, Abdullah Albizri, Antoine Harfouche, Salih Tutun:
Digital transformation to mitigate emergency situations: increasing opioid overdose survival rates through explainable artificial intelligence. Ind. Manag. Data Syst. 123(1): 324-344 (2023) - [j5]Salih Tutun, Marina E. Johnson, Abdulaziz Ahmed, Abdullah Albizri, Sedat Irgil, Ilker Yesilkaya, Esma Nur Ucar, Tanalp Sengun, Antoine Harfouche:
An AI-based Decision Support System for Predicting Mental Health Disorders. Inf. Syst. Frontiers 25(3): 1261-1276 (2023) - [j4]Salih Tutun, Antoine Harfouche, Abdullah Albizri, Marina E. Johnson, Haiyue He:
A Responsible AI Framework for Mitigating the Ramifications of the Organ Donation Crisis. Inf. Syst. Frontiers 25(6): 2301-2316 (2023) - [c2]Salih Tutun, Anol Bhattacherjee, Kazim Topuz, Ali Tosyali, Gorden Li:
Mdscan: an Explainable Artificial Intelligence Artifact for Mental Health Screening. ECIS 2023 - [c1]Tiantian Wang, Muhammad Aqeel, Payam Norouzzadeh, Salih Tutun, Eli Snir, Golnesa Rouie Miab, Laila Al Dehailan, Bahareh Rahmani:
Forecasting Teeth Cavities By Convolutional Neural Network. CAI 2023: 109-111 - 2022
- [i1]Abdulaziz Ahmed, Khalid Y. Aram, Salih Tutun:
A Study of Left Before Treatment Complete Emergency Department Patients: An Optimized Explanatory Machine Learning Framework. CoRR abs/2212.11879 (2022)
2010 – 2019
- 2018
- [j3]Emrah Korkmaz, Ercan Izgi, Salih Tutun:
Forecasting of short-term wind speed at different heights using a comparative forecasting approach. Turkish J. Electr. Eng. Comput. Sci. 26(5): 2553-2569 (2018) - 2017
- [j2]Salih Tutun, Mohammad T. Khasawneh, Jun Zhuang:
New framework that uses patterns and relations to understand terrorist behaviors. Expert Syst. Appl. 78: 358-375 (2017) - [j1]Mohammed Aladeemy, Salih Tutun, Mohammad T. Khasawneh:
A new hybrid approach for feature selection and support vector machine model selection based on self-adaptive cohort intelligence. Expert Syst. Appl. 88: 118-131 (2017)
Coauthor Index
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