PUBLICATION

1. Alizadeh S, Norani A., ICMA a new efficient algorithm for process model discover, Applied Intelligence, 1-18, November 2018, Volume 48, Issue 11, pp 4497–4514.
2. N.Khajeali, S. Alizadeh, Extract critical factors affecting the length of hospital stay of pneumonia patient by data mining (case study an Iranian hospital), Artificial Intelligence inMedicine, Volume 83 Issue C, Pages 2-13, 2017.
3. Arasteh M, Alizadeh S A fast divisive community detection algorithm based on edge degree betweenness centrality, Applied Intelligence, 2018. . doi: 10.1007/s10489-018-1297-9.
4. Mohammadi SF, Sabbaghi M, Z-Mehrjardi H, Hashemi H, Alizadeh S, Majdi M, Taee F.J, using artificial intelligence to predict the risk for posterior capsule opacification after phacoemulsification. Journal of Cataract and Refractive Surgery. 2012 Mar; 38(3):403-8. doi: 10.1016/j.jcrs.2011.09.036. Epub 2012 Jan 11.
5. Vahedian Khezerlou, A., Alizadeh, S., A new model for discovering process trees from event logs,Applied Intelligence, Volume 41 Issue 3, Page 725-735, 2014, doi: 10.1007/s10489-014-0564-7.
6. Ahmadi, S., Forouzideh, N., Alizadeh, S., Papageorgiou, E., Learning Fuzzy Cognitive Maps using Imperialist Competitive Algorithm, Neural Computing and Applications, Volume 26, Issue 6, Pages,333–1354, 2015.
7. Ghazanfari, M., Fathian, M., Alizadeh, S., Koulouriotis, D. E., Comparing simulated annealing and genetic algorithm in learning FCM, Applied Mathematics and Computation 192(1):56-68, 2007, DOI: 10.1016/j.amc.2007.02.144.
8. Alizadeh, S., Ghazanfari, M., Learning FCM by chaotic simulated annealing, August 2009, Chaos Solitons & Fractals 41(3):1182-1190, DOI: 10.1016/j.chaos.2008.04.058
9. M. Ahmadlou, M. Karimi,S. Alizadeh, A. Shirzadi,D. Parvinnejhad,H. Shahabi,M. Panahi Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA), Geocarto International, 2018, article in press. DOI:10.1080/10106049.2018.1474276.
10. E Akhondzadeh-Noughabi, S Alizadeh, AM Ahmadvand, B Minaei-Bidgoli, FTiS: A new model for effective urban management: A case study of urban systems in Iran, Cities, 31, 394-403. 2012.
11. Jafari Momtaz, N. Alizadeh, S. Sharif Vaghefi, M. (2013) “A new model for assessment fast food Customer behaviour case study:  An Iranian fast‐food restaurant”, British Food Journal, Vol. 115, Issue: 4, pp.601-613, https://doi.org/10.1108/00070701311317874.
12. Barzinpour, F., Ali-Ahmadi, B.H., Alizadeh, S., Jalali Naini, S.G., Clustering networks' heterogeneous data in defining a comprehensive closeness centrality index, Mathematical Problems in Engineering, Volume 2014, 10 pages, http://dx.doi.org/10.1155/2014/202350.
13. Asghari, M., Alizadeh, S., A new similarity measure by combining formal concept analysis and clustering for case-based reasoning, LNCS, volume 9101, Pages. 503–513, 2015.
14. Hachesu, P.R., Ahmadi, M., Alizadeh, S., Sadoughi, F., Use of data mining techniques to determine and predict length of stay of cardiac patients, Healthcare Informatics Research. Volume 19 Issue 2, pages: 121-9, 2013, doi: 10.4258/hir.2013.19.2.121.
15. Habibi, S., Ahmadi, M., Alizadeh, S., Type 2 Diabetes Mellitus screening and Risk Factors Using Decision Tree: Results of Data Mining, Global journal of health science, 2015, Volume 18 Issue 7(5) Pages 304-10. DOI: 10.5539/gjhs.v7n5p304.
16. Ameri, H. Alizadeh, S, Barzegari A, Identification of influencing factors for heart attack in diabetic patients using C & R algorithm, Daneshvar Medicine, Volume 21, Issue 112, pages 71-82, 2014. (In Persian)
17. Ameri, H. Alizadeh, S, Barzegari A, Knowledge Extraction of Diabetics' Data by Decision Tree Method, Journal of Health Administration, Volume 16 Issue 53, pp58-72, 2013. (In Persian)
18. Sharifkhani, M., Alizadeh, S., Abbasi, M., Ameri, H. Providing a model for predicting the risk of osteoporosis using decision tree algorithms, Journal of Mazandaran University of Medical Sciences, Volume 24, Issue 116, pp110-118, 2014. (In Persian)
19. Dormohammadi, S. Alizadeh, S. Asghari, M. Shami, M.  Proposing a prediction model for diagnosing causes of infertility by data mining algorithms, Journal of Health Administration (JHA), Volume 17, Issue 57, pages 46-57, 2014. (In Persian)
20. .Ameri, H. Alizadeh, S. Hadizadeh, M. Assessing the Effects of Infertility Treatment Drugs Using Clustering Algorithms and Data Mining Techniques, the journal of The journal ofMazandaran university of medical science, Volume 24, Number 114, pp 26-35, 2013. (In Persian
21. Aghabeigi, N, Alizadeh, S. Saremi, A., Developing an Improved clustering algorithm for using on Sarem Hospital infertility data, Industrial engineering & management, Volume 31,1, Issue 2.2, 2015. (In Persian)
22. Safi, M, Alizadeh, S., Roghanian, E. A hybrid model of data Envelopment Analysis and decision tree for efficiency evaluation of  Units-Case  study:  Tehran  Bus  Transit,  journal  of  Transportation Research, Volume 11, Number 3 (40); Page(s) 253 To 263, 2014. (In Persian)
23. Ebadi Jalal, M., Alizadeh, S, Analysis of customer behaviour in purchasing and sending online group SMS using data mining Based on the RFM Model, Industrial engineering & management, Volume 31,1, Issue 2.2, 2015. (In Persian)
24. Shabanzadeh Gavasarai, M. Alizadeh, S., Farzanegan, P., Provide a model for analysing customer behaviour using data mining (The analysis of edible oil industry), Industrial engineering & management, Volume 32,1, Issue 1.2, 2016. (In Persian)
25. Ghazanfari, M, Malekmohamadi, S. Alizadeh,S. Fathollah, M, Customer Segmentation in  Clothing Exports Based on Clustering Algorithm, Iranian Journal of Trade Studies (IJTS), Volume 14 Issue 56, Pages: 59-86, 2010. (In Persian)
26. Ghazanfari, M, Malekmohamadi, S. Alizadeh,S., Fathollah, M. foreign trade customer of Iran edible fruits market, Iranian Journal of Trade Studies (IJTS), Volume 14 Issue 55, Pages: 151-181, 2010. (In Persian)
27. Ghazanfari, M, Malekmohamadi, S. Alizadeh, S., Data-mining application for country segmentation based on the RFM model, International Journal of Data Analysis Techniques and Strategies 1(2):126-140, 2008, DOI: 10.1504/IJDATS.2008.021114.