Saeed Salem

Orcid: 0000-0001-6478-4674

According to our database1, Saeed Salem authored at least 48 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Understanding the Country-Level Security of Free Content Websites and their Hosting Infrastructure.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022
DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification.
IEEE Trans. Dependable Secur. Comput., 2022

Do Content Management Systems Impact the Security of Free Content Websites? A Correlation Analysis.
CoRR, 2022

Do Content Management Systems Impact the Security of Free Content Websites?
Proceedings of the Computational Data and Social Networks - 11th International Conference, 2022

2021
RASMA: a reverse search algorithm for mining maximal frequent subgraphs.
BioData Min., 2021

2020
Measuring the Cost of Software Vulnerabilities.
EAI Endorsed Trans. Security Safety, 2020

A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification.
CoRR, 2020

Language and Obfuscation Oblivious Source Code Authorship Attribution.
IEEE Access, 2020

Efficiently mining rich subgraphs from vertex-attributed graphs.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019
On the use of usage patterns from telemetry data for test case prioritization.
Inf. Softw. Technol., 2019

A linear delay algorithm for enumerating all connected induced subgraphs.
BMC Bioinform., 2019

Subgraph-Based Adversarial Examples Against Graph-Based IoT Malware Detection Systems.
Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

2018
A Linear Delay Linear Space Algorithm for Enumeration of All Connected Induced Subgraphs.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
Template edge similarity graph clustering for mining multiple gene expression datasets.
Int. J. Data Min. Bioinform., 2017

A parallel algorithm for mining maximal frequent subgraphs.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Mining quasi frequent coexpression subnetworks.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Classifying gene coexpression networks using state subnetworks.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Customized Regression Testing Using Telemetry Usage Patterns.
Proceedings of the 2016 IEEE International Conference on Software Maintenance and Evolution, 2016

A Multithreaded Algorithm for Mining Maximal Cohesive Dense Modules from Interaction Networks with Gene Profiles.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015
Mining representative maximal dense cohesive subnetworks.
Netw. Model. Anal. Health Informatics Bioinform., 2015

Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm.
BioData Min., 2015

Experience report: Mining test results for reasons other than functional correctness.
Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering, 2015

Striving for Failure: An Industrial Case Study about Test Failure Prediction.
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Mining maximal subnetworks from interaction network with node attributes.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Hybrid coexpression link similarity graph clustering for mining biological modules from multiple gene expression datasets.
BioData Min., 2014

Improving the effectiveness of test suite through mining historical data.
Proceedings of the 11th Working Conference on Mining Software Repositories, 2014

Discovering dysregulated phenotype-related gene patterns.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
No-boundary thinking in bioinformatics research.
BioData Min., 2013

MFMS: maximal frequent module set mining from multiple human gene expression data sets.
Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, 2013

2012
Discovering maximal cohesive subgraphs and patterns from attributed biological networks.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2011
SimClus: an effective algorithm for clustering with a lower bound on similarity.
Knowl. Inf. Syst., 2011

Selecting discriminating terms for bug assignment: a formal analysis.
Proceedings of the 7th International Conference on Predictive Models in Software Engineering, 2011

Discovering Communities in Social Networks Using Topology and Attributes.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Frequent Substring-Based Sequence Classification with an Ensemble of Support Vector Machines Trained Using Reduced Amino Acid Alphabets.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

CLARM: an integrative approach for functional modules discovery.
Proceedings of the ACM International Conference on Bioinformatics, 2011

2010
FlexSnap: Flexible Non-sequential Protein Structure Alignment.
Algorithms Mol. Biol., 2010

Sequential Data Clustering.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

A formal study of classification techniques on entity discovery and their application to opinion mining.
Proceedings of the 2nd International Workshop on Search and Mining User-Generated Contents, 2010

2009
Non-sequential and flexible protein structure alignment.
PhD thesis, 2009

Robust partitional clustering by outlier and density insensitive seeding.
Pattern Recognit. Lett., 2009

SPARCL: an effective and efficient algorithm for mining arbitrary shape-based clusters.
Knowl. Inf. Syst., 2009

Iterative Non-Sequential protein Structural Alignment.
J. Bioinform. Comput. Biol., 2009

Clustering with Lower Bound on Similarity.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2008
ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns.
Stat. Anal. Data Min., 2008

An integrated, generic approach to pattern mining: data mining template library.
Data Min. Knowl. Discov., 2008

SPARCL: Efficient and Effective Shape-Based Clustering.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
ORIGAMI: Mining Representative Orthogonal Graph Patterns.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2005
Towards Generic Pattern Mining.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005


  Loading...