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Number of items: 5.
Article
- Sedighi, T., Hosseinian-Far, A. and Daneshkhah, A. (2021) Measuring Local Sensitivity in Bayesian Inference using a new class of metrics. Communications in Statistics - Theory and Methods. 1532-415X.
- Sedighi, T., Varga, L., Hosseinian Far, A. and Daneshkhah, A. (2021) Economic Evaluation of Mental Health Effects of Flooding using Bayesian Networks. International Journal of Environmental Research and Public Health. 18(14) 1661-7827.
- Daneshkhah, A., Hosseinian-Far, A., Chatrabgoun, O., Sedighi, T. and Farsi, M. (2018) Probabilistic Modeling of Financial Uncertainties. International Journal of Organizational and Collective Intelligence (IJOCI). 8(2), pp. 1-11. 1947-9344.
- Daneshkhah, A., Hosseinian-Far, A., Chatrabgoun, O., Sedighi, T. and Farsi, M. (2018) Probabilistic modeling of financial uncertainties. International Journal of Organizational and Collective Intelligence (IJOCI). 8(2), pp. 1-11. 1947-9344.
Book Section
- Sedighi, T., Montasari, R. and Hosseinian Far, A. (2022) The Application of Machine Learning Algorithms in Classification of Malicious Websites. In: Montasari, R., Carroll, F., Mitchell, I., Hara, S. and Bolton-King, R. (eds.) Privacy, Security And Forensics in The Internet of Things (IoT) :. Cham: Springer. pp. 131-147.