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ORCIDMohammadSadegh Mohagheghi
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2020 – today
- 2024
[j3]MohammadSadegh Mohagheghi:
State ordering and classification for analyzing non-sparse large Markov models. J. Supercomput. 80(18): 26140-26170 (2024)- [i3]Muqsit Azeem, Debraj Chakraborty, Sudeep Kanav, Jan Kretínský, MohammadSadegh Mohagheghi, Stefanie Mohr, Maximilian Weininger:
1-2-3-Go! Policy Synthesis for Parameterized Markov Decision Processes via Decision-Tree Learning and Generalization. CoRR abs/2410.18293 (2024) - 2023
- [i2]MohammadSadegh Mohagheghi, Khayyam Salehi:
Splitter Orderings for Probabilistic Bisimulation. CoRR abs/2307.08614 (2023) - [i1]MohammadSadegh Mohagheghi, Khayyam Salehi
:
Improving Probabilistic Bisimulation for MDPs Using Machine Learning. CoRR abs/2308.02519 (2023) - 2022
- [j2]MohammadSadegh Mohagheghi, Jaber Karimpour, Ayaz Isazadeh:
Improving modified policy iteration for probabilistic model checking. Comput. Sci. 23(1) (2022) - [c5]Khayyam Salehi, Ali A. Noroozi, Sepehr Amir-Mohammadian, MohammadSadegh Mohagheghi:
An Automated Quantitative Information Flow Analysis for Concurrent Programs. QEST 2022: 43-63 - 2020
- [j1]MohammadSadegh Mohagheghi, Jaber Karimpour, Ayaz Isazadeh:
Prioritizing Methods to Accelerate Probabilistic Model Checking of Discrete-Time Markov Models. Comput. J. 63(1): 105-122 (2020) - [c4]MohammadSadegh Mohagheghi, Khayyam Salehi:
Accelerating Interval Iteration for Expected Rewards in Markov Decision Processes. ICSOFT 2020: 39-50 - [c3]MohammadSadegh Mohagheghi, Khayyam Salehi:
Machine Learning and Disk-based Methods for Qualitative Verification of Markov Decision Processes. ICTERI Workshops 2020: 74-88 - [c2]MohammadSadegh Mohagheghi, Behrang Chaboki:
Dirac-Based Reduction Techniques for Quantitative Analysis of Discrete-Time Markov Models. TTCS 2020: 1-16
2010 – 2019
- 2015
- [c1]Jaber Karimpour, Ayaz Isazadeh, MohammadSadegh Mohagheghi, Khayyam Salehi:
Improved Iterative Methods for Verifying Markov Decision Processes. FSEN 2015: 207-214
Coauthor Index
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