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ORCIDMorteza Saberi
- > Home > Persons > Morteza Saberi
Publications
- 2023
[j65]Sonia Farhana Nimmy
, Omar Khadeer Hussain, Ripon K. Chakrabortty, Farookh Khadeer Hussain, Morteza Saberi:
Interpreting the antecedents of a predicted output by capturing the interdependencies among the system features and their evolution over time. Eng. Appl. Artif. Intell. 117(Part): 105596 (2023)- [j63]Hang Thanh Bui, Omar Khadeer Hussain, Daniel D. Prior, Farookh Khadeer Hussain, Morteza Saberi:
SIAEF/PoE: Accountability of Earnestness for encoding subjective information in Blockchain. Knowl. Based Syst. 269: 110501 (2023) - [j62]Sonia Farhana Nimmy, Omar Khadeer Hussain, Ripon K. Chakrabortty, Farookh Khadeer Hussain, Morteza Saberi:
An optimized Belief-Rule-Based (BRB) approach to ensure the trustworthiness of interpreted time-series decisions. Knowl. Based Syst. 271: 110552 (2023) - [j60]Hamed Aboutorab, Omar Khadeer Hussain, Morteza Saberi, Farookh Khadeer Hussain, Daniel D. Prior:
Reinforcement Learning-Based News Recommendation System. IEEE Trans. Serv. Comput. 16(6): 4493-4502 (2023) - [c38]Hamed Aboutorab, Morteza Saberi, Omar Khadeer Hussain, Farookh Khadeer Hussain:
POSSUM: PrOactive diSruption riSk identification for sUpply chain Management. PerCom Workshops 2023: 319-321 - 2022
- [j57]Hamed Aboutorab, Omar Khadeer Hussain, Morteza Saberi, Farookh Khadeer Hussain:
A reinforcement learning-based framework for disruption risk identification in supply chains. Future Gener. Comput. Syst. 126: 110-122 (2022) - [j56]Sonia Farhana Nimmy, Omar Hussain, Ripon K. Chakrabortty, Farookh Khadeer Hussain, Morteza Saberi:
Explainability in supply chain operational risk management: A systematic literature review. Knowl. Based Syst. 235: 107587 (2022) - [j55]Hang Thanh Bui, Omar Khadeer Hussain, Daniel D. Prior, Farookh Khadeer Hussain, Morteza Saberi:
Proof by Earnestness (PoE) to determine the authenticity of subjective information in blockchains - application in supply chain risk management. Knowl. Based Syst. 250: 108972 (2022) - [c34]Hang Thanh Bui, Omar Khadeer Hussain, Morteza Saberi, Farookh Khadeer Hussain:
Proof of Earnestness- Subjective information's Trustworthiness in Blockchains as a Service. WI/IAT 2022: 321-327 - 2021
- [j53]Hamed Aboutorab, Omar Hussain, Morteza Saberi, Farookh Khadeer Hussain, Elizabeth Chang:
A survey on the suitability of risk identification techniques in the current networked environment. J. Netw. Comput. Appl. 178: 102984 (2021) - [j49]Hang Thanh Bui, Omar Khadeer Hussain, Morteza Saberi, Farookh Khadeer Hussain:
Assessing the authenticity of subjective information in the blockchain: a survey and open issues. World Wide Web 24(2): 483-509 (2021) - 2019
- [j44]Abdullah Ali Salamai, Omar Khadeer Hussain, Morteza Saberi, Elizabeth Chang, Farookh Khadeer Hussain:
Highlighting the Importance of Considering the Impacts of Both External and Internal Risk Factors on Operational Parameters to Improve Supply Chain Risk Management. IEEE Access 7: 49297-49315 (2019) - [j41]Falak Nawaz, Omar Hussain, Farookh Khadeer Hussain, Naeem Khalid Janjua, Morteza Saberi, Elizabeth Chang:
Proactive management of SLA violations by capturing relevant external events in a Cloud of Things environment. Future Gener. Comput. Syst. 95: 26-44 (2019) - 2018
- [j34]Morteza Saberi, Martin Theobald, Omar Khadeer Hussain, Elizabeth Chang, Farookh Khadeer Hussain:
Interactive feature selection for efficient customer recognition in contact centers: Dealing with common names. Expert Syst. Appl. 113: 356-376 (2018) - [j33]Falak Nawaz, Naeem Khalid Janjua, Omar Khadeer Hussain, Farookh Khadeer Hussain, Elizabeth Chang, Morteza Saberi:
Event-driven approach for predictive and proactive management of SLA violations in the Cloud of Things. Future Gener. Comput. Syst. 84: 78-97 (2018) - [j32]Walayat Hussain, Farookh Khadeer Hussain, Morteza Saberi, Omar Khadeer Hussain, Elizabeth Chang:
Comparing time series with machine learning-based prediction approaches for violation management in cloud SLAs. Future Gener. Comput. Syst. 89: 464-477 (2018) - [j25]Maryam Shahsavari, Alireza Hashemi Golpayegani, Morteza Saberi, Farookh Khadeer Hussain:
Recruiting the K-most influential prospective workers for crowdsourcing platforms. Serv. Oriented Comput. Appl. 12(3-4): 247-257 (2018) - 2015
- [j18]Ali Azadeh, Nadia Pourmohammad Zia, Morteza Saberi, Farookh Khadeer Hussain, Jin Hee Yoon, Omar Khadeer Hussain, Shadi Sadri:
A trust-based performance measurement modeling using t-norm and t-conorm operators. Appl. Soft Comput. 30: 491-500 (2015) - 2014
- [c7]Ali Azadeh, Reza Kokabi, Morteza Saberi, Farookh Khadeer Hussain, Omar Khadeer Hussain:
Trust prediction using Z-numbers and Artificial Neural Networks. FUZZ-IEEE 2014: 522-528 - [c6]Ali Azadeh, Saeed Abdolhossein Zadeh, Morteza Saberi, Farookh Khadeer Hussain, Omar Khadeer Hussain:
A trust-based performance measurement modeling using DEA, T-norm and S-norm operators. FUZZ-IEEE 2014: 1913-1920 - 2013
- [j17]Ahmad Kazem, Ebrahim Sharifi, Farookh Khadeer Hussain, Morteza Saberi, Omar Khadeer Hussain:
Support vector regression with chaos-based firefly algorithm for stock market price forecasting. Appl. Soft Comput. 13(2): 947-958 (2013) - [j14]Morteza Saberi, Monireh Sadat Mirtalaei, Farookh Khadeer Hussain, Ali Azadeh, Omar Khadeer Hussain, Behzad Ashjari:
A granular computing-based approach to credit scoring modeling. Neurocomputing 122: 100-115 (2013) - 2012
- [j12]Monireh Sadat Mirtalaei, Morteza Saberi, Omar Khadeer Hussain, Behzad Ashjari, Farookh Khadeer Hussain:
A trust-based bio-inspired approach for credit lending decisions. Computing 94(7): 541-577 (2012)
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