Salih Tutun, Mohammad T. Khasawneh, Jun Zhuang: New Framework Uses Patterns and Relations to Understand Terrorist Behaviors, Expert Systems and Applications, 78, 358-375.
Salih Tutun, Chun-An Chou, Erdal Canıyılmaz: A new forecasting framework for volatile behavior in net electricity consumption: A case study in Turkey *. Energy 10/2015; 93. DOI:10.1016/j.energy.2015.10.064
Sina Khanmohammadi, Salih Tutun, Yunus Kucuk: A New Multilevel Input Layer Artificial Neural Network for Predicting Flight Delays at JFK Airport. Procedia Computer Science 12/2016; 95. DOI:10.1016/j.procs.2016.09.321
Özkan Bali, Salih Tutun, Ali Pala, Cihan Çörekçi: A MCDM Approach with Fuzzy DEMATEL and Fuzzy TOPSIS for 3PL Provider Selection, Sigma 32, 222-239, 2014
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 systems with Applications 88 (2017) 118–131.
Salih Tutun, Murat Akca, Omer Biyikli, Mohammad T. Khasawneh : An Outlier-Based Intention Detection for Discovering Terrorist Strategies, Procedia Computer Science 114, 132-138.
Salih Tutun, Mohammad T. Khasawneh, Jun Zhuang: Networked Pattern Detection Framework for Identifying Suspicious Threats, Engineering Applications of Artificial Intelligence (Under Review).
Salih Tutun, Hossein Sangrody, Mohammad T. Khasawneh: Robust Energy Forecasting: Proposing Cohort Intelligence Based Adaptive Neural Fuzzy Inference Systems and Regression Equation Scenarios, Applied Soft Computing (Under Review).
Emrah Korkmaz, Salih Tutun, Ercan Izgi: A Intelligent Forecasting of Short-term Wind Speed for Different Heights, Energy Reports, (Accepted).
Salih Tutun, Mohammad Bataineh, Mohammed Aladeemy, Mohammad T. Khasawneh: The Optimized Elastic Net Regression Model for Electricity Consumption Forecasting. Proceedings of the 5th Annual World Conference of the Society for Industrial and Systems Engineering, San Francisco, CA, USA; 10/2016
Salih Tutun, Sina Khanmohammadi, Chun-An Chou, Yunus Kucuk: Network Topology based ANFIS Detection Framework for Identifying Terrorism Threats. Industrial & Systems Engineering Research Conference (ISERC), Anaheim, California; 05/2016
Salih Tutun, Sina Khanmohammadi, Lu He, Chun-An Chou: A Meta-heuristic LASSO Model for Diabetic Readmission Prediction. Industrial & Systems Engineering Research Conference (ISERC), Anaheim, California; 05/2016
Salih Tutun, Sina Khanmohammadi, Chun-An Chou: A Network-based Approach for Understanding Suicide Attack Behavior. Industrial & Systems Engineering Research Conference (ISERC), Anaheim, California; 05/2016
Salih Tutun, Haifeng Wang, Zhao Liu, Mehmet F. Yıldırım, Sina Khanmohammadi: An Agent Based Approach for Understanding Complex Terrorism Behaviors. Industrial & Systems Engineering Research Conference (ISERC), Anaheim, California; 05/2016
H Sangrody, N Zhou, Salih Tutun, B Khorramdel, M Motalleb, M Sarailoo: Long term forecasting using machine learning methods. Power and Energy Conference at Illinois (PECI), 2018 IEEE, 1-5.
Salih Tutun, Chun-an Chou: A New Framework for Terrorist Group Prediction using Artificial Intelligence Techniques. Military Operation Research Society (MORS), Alexandria, Virginia; 06/2015
Erkam Guresen, Gulhan Kutlukaya, Salih Tutun: Predicting the Use of Violence using Machine Learning Methods, the Institute for Operations Research and the Management Sciences (INFORMS), Annual Meeting, Philadelphia, PA; 11/2015
Salih Tutun, Mohammad T. Khasawneh: A New Framework for Terrorist Group Prediction using Artificial Intelligence Techniques, the Institute for Operations Research and the Management Sciences (INFORMS), Annual Meeting, Nashville, Tennessee, 11/2016
Salih Tutun, Chun-an Chou: Prediction of Net Electricity Consumption by Using Forecasted Scenario Approach, Industrial & Systems Engineering Research Conference (ISERC), Nashville, Tennessee, 05/2015
Salih Tutun, Chun-an Chou: Understanding Patterns or Relations of the Terrorist Attacks in Big Data to Prevent Future Threats, the Institute for Operations Research and the Management Sciences (INFORMS), Annual Meeting, Philadelphia, PA; 11/2015.
Salih Tutun, Mohammad T. Khasawneh: Networked Pattern Recognition (NEPAR) Framework for Understanding and Detecting Future Terrorism Threads, the Institute for Operations Research and the Management Sciences (INFORMS), Annual Meeting, Nashville, Tennesse; 11/2016
Salih Tutun, Safak Yakti, Mohammad T. Khasawneh: Networked Pattern Recognition Framework for Classification, the Institute for Operations Research and the Management Sciences (INFORMS), Annual Meeting, At: Houston, Texas; 10/2017.
Salih Tutun, Mohammad T. Khasawneh: New supervised classification approach as Networked Pattern Recognition Framework, Global Joint Conference on Industrial Engineering and Its Application Areas, Urgup, Nevsehir; 06/2018.
Ehsan Khan, Salih Tutun: Predicting organ donation outcome using network-based machine learning algorithms, Global Joint Conference on Industrial Engineering and Its Application Areas, Urgup, Nevsehir; 06/2018.
