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Saeed Salem
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2020 – today
- 2023
- [c29]Mohamed Alqadhi, Ali Alkinoon, Saeed Salem, David Mohaisen:
Understanding the Country-Level Security of Free Content Websites and their Hosting Infrastructure. DSAA 2023: 1-10 - [i3]Mohamed Alqadhi, Ali Alkinoon, Saeed Salem, David Mohaisen:
Understanding the Country-Level Security of Free Content Websites and their Hosting Infrastructure. CoRR abs/2305.14531 (2023) - 2022
- [j18]Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen:
DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification. IEEE Trans. Dependable Secur. Comput. 19(5): 3432-3447 (2022) - [c28]Mohamed Alqadhi, Abdulrahman Alabduljabbar, Kyle Thomas, Saeed Salem, DaeHun Nyang, David Mohaisen:
Do Content Management Systems Impact the Security of Free Content Websites? CSoNet 2022: 141-154 - [i2]Mohamed Alqadhi, Abdulrahman Alabduljabbar, Kyle Thomas, Saeed Salem, DaeHun Nyang, David Mohaisen:
Do Content Management Systems Impact the Security of Free Content Websites? A Correlation Analysis. CoRR abs/2210.12083 (2022) - 2021
- [j17]Saeed Salem, Mohammed Alokshiya, Mohammad Al Hasan:
RASMA: a reverse search algorithm for mining maximal frequent subgraphs. BioData Min. 14(1): 19 (2021) - 2020
- [j16]Sarim Zafar, Muhammad Usman Sarwar, Saeed Salem, Muhammad Zubair Malik:
Language and Obfuscation Oblivious Source Code Authorship Attribution. IEEE Access 8: 197581-197596 (2020) - [j15]Afsah Anwar, Aminollah Khormali, Jinchun Choi, Hisham Alasmary, Saeed Salem, DaeHun Nyang, David Mohaisen:
Measuring the Cost of Software Vulnerabilities. EAI Endorsed Trans. Security Safety 7(23): e1 (2020) - [c27]Riyad Hakim, Saeed Salem:
Efficiently mining rich subgraphs from vertex-attributed graphs. BCB 2020: 65:1-65:9 - [i1]Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen:
A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification. CoRR abs/2005.07145 (2020)
2010 – 2019
- 2019
- [j14]Mohammed Alokshiya, Saeed Salem, Fidaa Abed:
A linear delay algorithm for enumerating all connected induced subgraphs. BMC Bioinform. 20-S(12): 319:1-319:11 (2019) - [j13]Jeff Anderson, Maral Azizi, Saeed Salem, Hyunsook Do:
On the use of usage patterns from telemetry data for test case prioritization. Inf. Softw. Technol. 113: 110-130 (2019) - [c26]Ahmed Abusnaina, Hisham Alasmary, Mohammed Abuhamad, Saeed Salem, DaeHun Nyang, Aziz Mohaisen:
Subgraph-Based Adversarial Examples Against Graph-Based IoT Malware Detection Systems. CSoNet 2019: 268-281 - 2018
- [c25]Mohammed Alokshiya, Saeed Salem, Fidaa Abed:
A Linear Delay Linear Space Algorithm for Enumeration of All Connected Induced Subgraphs. BCB 2018: 607 - 2017
- [j12]Saeed Salem:
Template edge similarity graph clustering for mining multiple gene expression datasets. Int. J. Data Min. Bioinform. 18(1): 28-39 (2017) - [c24]Bassam Qormosh, Eihab El Radie, Saeed Salem:
Classifying gene coexpression networks using state subnetworks. BIBM 2017: 1731-1735 - [c23]Eihab El Radie, Saeed Salem:
Mining quasi frequent coexpression subnetworks. BIBM 2017: 1736-1740 - [c22]Eihab El Radie, Saeed Salem:
A parallel algorithm for mining maximal frequent subgraphs. BIBM 2017: 1965-1971 - 2016
- [c21]Aditya Goparaju, Saeed Salem:
A Multithreaded Algorithm for Mining Maximal Cohesive Dense Modules from Interaction Networks with Gene Profiles. BCB 2016: 671-678 - [c20]Jeff Anderson, Hyunsook Do, Saeed Salem:
Customized Regression Testing Using Telemetry Usage Patterns. ICSME 2016: 572-581 - 2015
- [j11]Xiuzhen Huang, Steven F. Jennings, Barry Bruce, Alison Buchan, Liming Cai, Pengyin Chen, Carole L. Cramer, Weihua Guan, Uwe Hilgert, Hongmei Jiang, Zenglu Li, Gail McClure, Donald F. McMullen, Bindu Nanduri, Andy D. Perkins, Bhanu Rekepalli, Saeed Salem, Jennifer Specker, Karl Walker, Donald C. Wunsch, Donghai Xiong, Shuzhong Zhang, Yu Zhang, Zhongming Zhao, Jason H. Moore:
Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm. BioData Min. 8: 7 (2015) - [j10]Aditya Goparaju, Tyler Brazier, Saeed Salem:
Mining representative maximal dense cohesive subnetworks. Netw. Model. Anal. Health Informatics Bioinform. 4(1): 29 (2015) - [c19]Aditya Goparaju, Bassam Qormosh, Saeed Salem:
Mining maximal subnetworks from interaction network with node attributes. BIBM 2015: 1630-1635 - [c18]Jeff Anderson, Saeed Salem, Hyunsook Do:
Striving for Failure: An Industrial Case Study about Test Failure Prediction. ICSE (2) 2015: 49-58 - [c17]Jeff Anderson, Hyunsook Do, Saeed Salem:
Experience report: Mining test results for reasons other than functional correctness. ISSRE 2015: 405-415 - [e2]Jake Yue Chen, Mohammed J. Zaki, Tamer Kahveci, Saeed Salem, Mehmet Koyutürk:
Proceedings of the Eighth International C* Conference on Computer Science & Software Engineering, Yokohama, Japan, July 13-15, 2015. ACM 2015, ISBN 978-1-4503-3419-8 [contents] - 2014
- [j9]Saeed Salem, Cagri Ozcaglar:
Hybrid coexpression link similarity graph clustering for mining biological modules from multiple gene expression datasets. BioData Min. 7: 16 (2014) - [c16]Rami Alroobi, Saeed Salem:
Discovering dysregulated phenotype-related gene patterns. BCB 2014: 524-532 - [c15]Jeff Anderson, Saeed Salem, Hyunsook Do:
Improving the effectiveness of test suite through mining historical data. MSR 2014: 142-151 - 2013
- [j8]Xiuzhen Huang, Barry Bruce, Alison Buchan, Clare Bates Congdon, Carole L. Cramer, Steven F. Jennings, Hongmei Jiang, Zenglu Li, Gail McClure, Rick McMullen, Jason H. Moore, Bindu Nanduri, Joan Peckham, Andy D. Perkins, Shawn W. Polson, Bhanu Rekepalli, Saeed Salem, Jennifer Specker, Donald C. Wunsch, Donghai Xiong, Shuzhong Zhang, Zhongming Zhao:
No-boundary thinking in bioinformatics research. BioData Min. 6: 19 (2013) - [c14]Saeed Salem, Cagri Ozcaglar:
MFMS: maximal frequent module set mining from multiple human gene expression data sets. BIOKDD 2013: 51-57 - 2012
- [c13]Saeed Salem, Rami Alroobi, Syed Ahmed, Mohammad Hossain:
Discovering maximal cohesive subgraphs and patterns from attributed biological networks. BIBM Workshops 2012: 203-210 - [e1]Tamer Kahveci, Saeed Salem, Mehmet Koyutürk, Jake Yue Chen, Mohammed J. Zaki:
Proceedings of the 11th International Workshop on Data Mining in Bioinformatics, BIOKDD 2012, Beijing, China, August 12, 2012. ACM 2012, ISBN 978-1-4503-1552-4 [contents] - 2011
- [j7]Mohammad Al Hasan, Saeed Salem, Mohammed J. Zaki:
SimClus: an effective algorithm for clustering with a lower bound on similarity. Knowl. Inf. Syst. 28(3): 665-685 (2011) - [c12]Saeed Salem, Loqmane Seridi, Rami Alroobi, James E. Brewer, Shadi Banitaan, Ibrahim Aljarah:
CLARM: an integrative approach for functional modules discovery. BCB 2011: 646-650 - [c11]Saeed Salem, Shadi Banitaan, Ibrahim Aljarah, James E. Brewer, Rami Alroobi:
Discovering Communities in Social Networks Using Topology and Attributes. ICMLA (1) 2011: 40-43 - [c10]Charith Chitraranjan, Loai Al Nimer, Omar Al Azzam, Saeed Salem, Anne M. Denton, Muhammad J. Iqbal, Shahryar F. Kianian:
Frequent Substring-Based Sequence Classification with an Ensemble of Support Vector Machines Trained Using Reduced Amino Acid Alphabets. ICMLA (2) 2011: 180-185 - [c9]Ibrahim Aljarah, Shadi Banitaan, Sameer Abufardeh, Wei Jin, Saeed Salem:
Selecting discriminating terms for bug assignment: a formal analysis. PROMISE 2011: 12 - 2010
- [j6]Saeed Salem, Mohammed J. Zaki, Chris Bystroff:
FlexSnap: Flexible Non-sequential Protein Structure Alignment. Algorithms Mol. Biol. 5: 12 (2010) - [c8]Shadi Banitaan, Saeed Salem, Wei Jin, Ibrahim Aljarah:
A formal study of classification techniques on entity discovery and their application to opinion mining. SMUC@CIKM 2010: 29-36 - [c7]Jianfei Wu, Loai Al Nimer, Omar Al Azzam, Charith Chitraranjan, Saeed Salem, Anne M. Denton:
Sequential Data Clustering. ICMLA 2010: 1015-1020
2000 – 2009
- 2009
- [b1]Saeed Salem:
Non-sequential and flexible protein structure alignment. Rensselaer Polytechnic Institute, USA, 2009 - [j5]Saeed Salem, Mohammed J. Zaki, Christopher Bystroff:
Iterative Non-Sequential protein Structural Alignment. J. Bioinform. Comput. Biol. 7(3): 571-596 (2009) - [j4]Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed J. Zaki:
SPARCL: an effective and efficient algorithm for mining arbitrary shape-based clusters. Knowl. Inf. Syst. 21(2): 201-229 (2009) - [j3]Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Mohammed J. Zaki:
Robust partitional clustering by outlier and density insensitive seeding. Pattern Recognit. Lett. 30(11): 994-1002 (2009) - [c6]Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi, Mohammed J. Zaki:
Clustering with Lower Bound on Similarity. PAKDD 2009: 122-133 - [c5]Saeed Salem, Mohammed J. Zaki, Chris Bystroff:
FlexSnap: Flexible Non-sequential Protein Structure Alignment. WABI 2009: 273-285 - 2008
- [j2]Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed Javeed Zaki:
An integrated, generic approach to pattern mining: data mining template library. Data Min. Knowl. Discov. 17(3): 457-495 (2008) - [j1]Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Jérémy Besson, Mohammed J. Zaki:
ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns. Stat. Anal. Data Min. 1(2): 67-84 (2008) - [c4]Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed J. Zaki:
SPARCL: Efficient and Effective Shape-Based Clustering. ICDM 2008: 93-102 - 2007
- [c3]Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Jérémy Besson, Mohammed Javeed Zaki:
ORIGAMI: Mining Representative Orthogonal Graph Patterns. ICDM 2007: 153-162 - 2005
- [c2]Mohammed Javeed Zaki, Nagender Parimi, Nilanjana De, Feng Gao, Benjarath Phoophakdee, Joe Urban, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem:
Towards Generic Pattern Mining. ICFCA 2005: 1-20 - [c1]Mohammed Javeed Zaki, Nilanjana De, Feng Gao, Nagender Parimi, Benjarath Phoophakdee, Joe Urban, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem:
Towards Generic Pattern Mining. PReMI 2005: 91-97
Coauthor Index
aka: Mohammed Javeed Zaki
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