Salih Tutun

Orcid: 0000-0001-6193-8332

According to our database1, Salih Tutun authored at least 13 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Curvature-Informed Local Explanations (CILE): Improving Stability and Trustworthiness in Explainable AI.
Proceedings of the 31st Americas Conference on Information Systems: Intelligent Technologies for a Better Future, 2025

2024
Management of resource sharing in emergency response using data-driven analytics.
Ann. Oper. Res., August, 2024

Explainable Artificial Intelligence for Mental Disorder Screening: A Computational Design Science Approach.
J. Manag. Inf. Syst., 2024

Brain Stroke Prediction Using Visual Geometry Group Model.
Proceedings of the 13th International Conference on Data Science, 2024

2023
A Responsible AI Framework for Mitigating the Ramifications of the Organ Donation Crisis.
Inf. Syst. Frontiers, December, 2023

An AI-based Decision Support System for Predicting Mental Health Disorders.
Inf. Syst. Frontiers, June, 2023

Digital transformation to mitigate emergency situations: increasing opioid overdose survival rates through explainable artificial intelligence.
Ind. Manag. Data Syst., 2023

Forecasting Teeth Cavities By Convolutional Neural Network.
Proceedings of the IEEE Conference on Artificial Intelligence, 2023

Mdscan: an Explainable Artificial Intelligence Artifact for Mental Health Screening.
Proceedings of the 31st European Conference on Information Systems, 2023

2022
A Study of Left Before Treatment Complete Emergency Department Patients: An Optimized Explanatory Machine Learning Framework.
CoRR, 2022

2018
Forecasting of short-term wind speed at different heights using a comparative forecasting approach.
Turkish J. Electr. Eng. Comput. Sci., 2018

2017
New framework that uses patterns and relations to understand terrorist behaviors.
Expert Syst. Appl., 2017

A new hybrid approach for feature selection and support vector machine model selection based on self-adaptive cohort intelligence.
Expert Syst. Appl., 2017


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