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Detecting spam tweets using machine learning and effective preprocessing
(Association for Computing Machinery, Inc, 2021)
Nowadays, with the rapid increase in popularity of online social networks (OSNs), these platforms are realized as ideal places for spammers. Unfortunately, these spammers can easily publish malicious content, advertise ...
Hot topic detection and evaluation of multi-relation effects
(Association for Computing Machinery, Inc, 2021)
With the growth of social media, Twitter has become one of the most popularly used microblogging communication platforms between people. Due to the wide preference of Twitter, popular issues in public, events like local ...
Automation of active reconnaissance phase: An automated API-based port and vulnerability scanner
(Association for Computing Machinery, Inc, 2021)
The unprecedented growth in technology has increased the importance of the required information security that is still hard to be reached. Recently, network and web application attacks have occurred frequently, causing ...
Convex hull in brain tumor segmentation
(Springer Science and Business Media Deutschland GmbH, 2022)
Tumors are the second leading cause of death. Among the tumors, brain tumors constitute one of the most complex tumor categories with a high mortality rate. Therefore, brain tumor detection and segmentation from non-invasive ...
Classes versus communities: Outlier detection and removal in tabular datasets via social network analysis (ClaCO)
(Institute of Electrical and Electronics Engineers Inc., 2023)
In this research, we introduce a model to detect inconsistent & anomalous samples in tabular labeled datasets which are used in machine learning classification tasks, frequently. Our model, abbreviated as the ClaCO (Classes ...
NetDriller-V3: A powerful social network analysis tool
(Institute of Electrical and Electronics Engineers Inc., 2023)
The development in technology has led to the generation of huge amounts of data from various sources, including biological data, social networking data, etc. Accordingly, social network analysis has received considerable ...