| Understanding Epidemic Data and Statistics: A case study of COVID‐19 A Hoseinpour Dehkordi, M Alizadeh, P Derakhshan, P Babazadeh, ... Journal of Medical Virology, 2020 | 133 | 2020 |
| What does COVID-19 Testing Results Really Say? The Real Statistics Concealed Behind the Accessible Data A Rashki, AH Dehkordi, R Nemati, P Tavousi Journal of medical virology, 2021 | 2 | 2021 |
| Linear Temporal Public Announcement Logic: a new perspective for reasoning about the knowledge of multi-classifiers A Hoseinpour Dehkordi, M Alizadeh, A Movaghar Bulletin of the Iranian Mathematical Society 49 (2), 12, 2023 | | 2023 |
| Meet MASKS: A novel Multi-Classifier's verification approach AH Dehkordi, M Alizadeh, A Movaghar arXiv preprint arXiv:2007.10090v3, 2022 | | 2022 |
| Linear Temporal Public Announcement Logic: A new perspective for reasoning about the knowledge of multi-classifiers A Hoseinpour Dehkordi, M Alizadeh, A Movaghar Eighth annual conference of the Iranian Association for Logic, 2021 | | 2021 |
| Can age-distribution be an indicator of the goodness of COVID-19 testing? AH Dehkordi, R Nemati, P Tavousi medRxiv, 2020.12. 21.20248690, 2020 | | 2020 |
| A deeper look at COVID-19 CFR: health care impact and roots of discrepancy A Hoseinpour Dehkordi, R Nemati, P Tavousi medRxiv, 2020 | | 2020 |
| An epistemic logical view of Deep Neural Networks A Hoseinpour Dehkordi, E Ardeshir Larijani, M Alizadeh, A Movaghar FSEN 2019, 2019 | | 2019 |
| Model Checking Multi-Agent Systems A Hoseinpour Dehkordi, M Alizadeh University of Tehran, 2016 | | 2016 |
| Assessing new conditions for secretary problem using Multi-Agent Systems A Hoseinpour Dehkordi 2013 13th Iranian Conference on Fuzzy Systems (IFSC), 1-4, 2013 | | 2013 |
| Data-Mining Applications in Petroleum A Hoseinpour Dehkordi, Y Tabesh Sharif University of Technology, 2010 | | 2010 |
Majid AlizadehAssociate professor, university of TehranVerified email at ut.ac.ir
