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Saeed Salem, PhD

Professor and Graduate Coordinator
Computer Science Department
North Dakota State University
Phone: (701) 231-6377
Fax: (701) 231-8255
Email:
URL: http://cs.ndsu.edu/~salem/

  Selected Publications:       All     Google Scholar

Underlined authors: students.

  • Saeed Salem, Mohammed Alokshiya, Mohammad Al Hasan.
    RASMA: a reverse search algorithm for mining frequent subgraphs.
    BMC BioData Mining, 14(1), pp. 1-23, 2021.
  • Abubakr O Al-Abbasi, Lutfi Samara, Saeed Salem, Ridha Hamila, Naofal Al-Dhahir.
    A Unified Framework for Differentiated Services in Intelligent Healthcare Systems.
    IEEE Transactions on Network Science and Engineering, 2021.
  • Riyad Hakim, Saeed Salem
    . Efficiently mining rich subgraphs from vertex-attributed graphs.
    In Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (BCB 2020), USA, September 21-24, 2020.
  • Sarim Zafar, Muhammad Usman Sarwar, Saeed Salem, Muhammad Zubair Malik.
    Language and Obfuscation Oblivious Source Code Authorship Attribution.
    IEEE Access 8, 197581-197596, 2020.
  • Mohammed Alokshiya, Saeed Salem, Fidaa Abed.
    A Linear Delay Algorithm for Enumerating All Connected Induced Subgraphs.
    BMC Bioinformatics, 20(12), 312, 2019.
  • Jeff Anderson, Maral Azizi, Saeed Salem, Hyunsook Do.
    On the Use of Usage Patterns from Telemetry Data for Test Case Prioritization.
    Information and Software Technology, 113, pp. 110-130, 2019.
  • Saeed Salem. Template edge similarity graph clustering for mining multiple gene expression datasets.
    International Journal of Data Mining and Bioinformatics, 18(1), pp. 28-39, 2017.
  • Jeff Anderson, Hyunsook Do, Saeed Salem. Customized Regression Testing Using Telemetry Usage Patterns.
    In Proceedings of the 32nd IEEE International Conference on Software Maintenance and Evolution (ICSME), pages 572-581, October 2016.
  • Jeff Anderson, Hyunsook Do, Saeed Salem. Striving for failure: An industrial case study about test failure prediction.
    In Proceedings of the 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE), volume 2 of ICSE 2015, pages 49-58, May 2015.
  • Saeed Salem, Cagri Ozcaglar. Hybrid coexpression link similarity graph clustering for mining biological modules from multiple gene expression datasets.
    BMC BioData Mining, 7(1):16, 2014.
  • Saeed Salem. Mining frequent subgraph patterns for classifying biological data.
    In Xiao-Li Li, See Kiong Ng, and Jason T. L. Wang, editors, Biological Data Mining and its Applications in Healthcare, pages 147-167. World Scientific, 2014.
  • Jeff Anderson, Saeed Salem, Hyunsook Do. Improving the Effectiveness of Test Suite Through Mining Historical Data.
    In Proceedings of the 11th Working Conference on Mining Software Repositories (MSR'14; co-located with ICSE2014), pages 142-151, May 2014.
  • Saeed Salem, Mohammed J. Zaki, Chris Bystroff. FlexSnap: Flexible Non-sequential Protein Structural Alignment.
    Algorithms for Molecular Biology Journal, 5(12), 2010.
  • Saeed Salem, Mohammed J. Zaki, Chris Bystroff. SNAP: Iterative Non-Sequential Protein Structural Alignment.
    Journal of Bioinformatics and Computational Biology, 7(3), pp. 571-596, 2009.
  • Saeed Salem, Mohammed J. Zaki, Chris Bystroff. FlexSnap: Flexible Non-Sequential Protein Structural Alignment.
    In Proceedings of the 9th International Workshop on Algorithms in Bioinformatics (WABI). Philadelphia, PA, September 2009.
  • Saeed Salem, Mohammed J. Zaki. Iterative Non-Sequential Protein Structural Alignment.
    In Proceedings of the 7th Annual International Conference on Computational Systems Bioinformatics (CSB). Stanford, CA, August 2008.





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